Should I Go Out? A Local Gemma Agent That Picks One Outdoor Plan, Then Tells You to Put Your Phone Away

A developer built "Should I Go Out?", an open-source web app that runs Google's Gemma 3 4B locally via Ollama and uses a four-step Mastra agent workflow to suggest a single outdoor plan — a park or landmark, a round-trip route, activities and what to wear — based on weather, air quality and OpenStreetMap data, then prompts the user to put their phone away. The app is a pnpm monorepo with a Hono/Mastra Node server and a Vite/React frontend, supports offline check-ins and English/Korean, and was refined after real-world testing surfaced bugs, including an agent fix so only features inside a park's outline count.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass https://dev.to/challenges/hacktoberfest-week1-2026-10-05 Should I go out? is a web app that answers one question and then tells you to put your phone away. You tap once. The app checks the weather, the air quality, and the parks around you, and Gemma, running on your own computer, suggests one outdoor plan that fits the time you have: a park or landmark, a round-trip route, a few things to do there, and what to wear. Then the screen tells you to put your phone in your pocket. Apps that send you outside usually still want your attention, with feeds, streaks, and leaderboards. I wanted the screen to be the shortest part of the trip. You get one plan, and "Another place" if you don't like it. Goals and badges only move when you check in at the park with "I'm here", and the check-in compares your location in the browser without sending it anywhere. On the first visit, four quick questions ask how you like to move, what you enjoy, who comes along, and whether you ride public bikes, or you can let the AI decide. Each suggestion also comes with a music video of about 30 seconds that flies over the real streets to the park in 3D. Once the app has loaded on your phone, check-ins work with no signal. It speaks English and Korean, because I live in Seoul. It's for anyone who opens their phone on a free Saturday to find something to do and is still scrolling at sunset, and for parents who want a playground 20 minutes away on foot. The model runs on your own Mac, so there's no public deployment. Here's the whole flow, from the questionnaire to the check-in: And the walk preview it makes for every suggestion: I'm a total homebody and rarely go out. While building the app, I tested it on my phone. It suggested 까치 어린이공원, a small park nearby that I didn't even know was there. I walked over, checked in, and got my first badge. Going somewhere because of an app I built myself felt refreshing. One thing was off. After I checked in, it suggested "a quick game of soccer at the sports field", but the park has no sports field. The app had counted a field just outside the park as part of it, so I had the agent fix that in the afternoon: only what's inside a park's outline counts now 83df1d5 https://github.com/scs0209/touch-grass-agent/commit/83df1d5 . Using it on my phone had also turned up two bugs earlier, a "Walk there" button that didn't respond and a start point shown as a plus code. Session 6 below covers both. One tap, one suggestion, then put your phone away. It checks the weather, the air, and the parks near you, and Gemma, running on your own computer, suggests one outdoor plan that fits the time you have. Then it tells you to put your phone away. It's a pnpm monorepo with apps/server Hono and Mastra on Node and apps/web Vite and React . The README has a short setup, and AGENTS.md lets a coding agent set everything up for you, including pulling the model. | Piece | What it does here | |---|---| | Gemma 3 4B open weights | Picks the place, writes the reason and the things to do, picks the outfit, and translates the answer into Korean | | Ollama local inference | Runs Gemma on my Mac through its OpenAI-compatible endpoint | | Mastra open-source agent framework | The agent, and a four-step workflow around it | | OpenStreetMap data via Nominatim, Overpass, and OSRM | Parks and landmarks, what each park has playground, water, viewpoint , and real walking and cycling routes | | Open-Meteo | Weather and air quality | | MapLibre GL JS and OpenFreeMap | The 3D flyover in the walk preview | All of these are free and need no API key. My first version gave Gemma the parks and asked it to plan. It made up walking times, and the card disagreed with the map. Now the server handles everything that can be measured, and Gemma handles the parts that need judgment. Each request is a four-step Mastra workflow: roundTripMin and features, and answers in JSON: one park by id, a reason, things to do, and an outfit from a fixed catalog. It can't invent coordinates or clothes. Korean answers come from a second Gemma call that translates the checked English answer, with place names masked so they come back unchanged. With SENTRY DSN set, each request is one Sentry trace: the four steps, the agent run, every Gemma call with its tokens, and every outgoing API request. The public Overpass server is often slow, so the app waits at most 3 seconds for it and caches park features for a day. In this trace the route step takes 1 ms, because the route was measured during that wait. Most of the wait is Gemma. Three requests on an M3 Pro MacBook, with the model already loaded: | | Input tokens | Output tokens | Time | |---|---|---|---| | Gemma picks the place and writes the plan | 2,151 to 2,592 | 218 to 236 | 9.0 to 9.7 s | | Gemma translates the answer into Korean | 523 | 73 | 3.2 s | | The whole request | | | 12.6 to 15.2 s | That's 75 to 80% of every request, and it costs $0. When Gemma returns invalid JSON, the retry shows up in the same step: This app knows where you are, when you go out, who you go with, and which parks you visit. With a closed model API, all of that would sit in someone else's logs. Here the prompt never leaves my Mac. The map and weather services get only the coordinates they need, Kakao Map gets the start and the destination when you tap directions in Korea, and check-ins stay in the browser. Because it's free to run, I kept calls I'd probably have cut with a paid API: "Another place" asks Gemma again, every answer gets a second call for Korean, and broken JSON gets a retry. The small local model shaped the design too: measured routes, a fixed outfit catalog, rule checks, and a fallback. Swapping models is one environment variable OLLAMA MODEL , and the same checks apply to any open model. There's no sign-up and no API key. Clone it, pull the model, and it works anywhere OpenStreetMap, Open-Meteo, and OSRM cover. The catch is that the Mac has to be awake, and the first answer takes 10 to 20 seconds while Gemma loads. I built this with Cursor agents, and Entire https://entire.io recorded the sessions and linked each one to its commit: 104 of the 126 commits carry an Entire-Checkpoint: trailer. The records are in a private repository because they also include my work setup. DEV's parser doesn't read Cursor transcripts yet, so I converted the sessions to the Claude Code format, which is why they show a Claude Code icon. Sessions 1 to 5 come from Entire's records and session 6 from the Cursor chat. Cursor doesn't keep tool results, so you'll see my prompts, the agent's replies, and the commands it ran. My prompts were in Korean, so I added English translations, and I redacted local paths and account names. The card and the map disagreed on the walk because Gemma was estimating the minutes. The agent moved route measurement in front of Gemma: OSRM measures every candidate's round trip, parks that don't fit are dropped, and Gemma gets each park's roundTripMin . After this I stopped asking a 4B model for numbers I could measure. Commit: b94354b https://github.com/scs0209/touch-grass-agent/commit/b94354b "keep only parks whose round trip fits" 카드랑 경로 시간이 다른건 수정해야지 Translation The card and the route show different times. Fix that. I'll look at how routes are prefetched and how the plan-route step picks the route, then make the server pick a park whose real round trip fits the time you chose. Looking at where durationMin gets computed, the mismatch happens when the route time exceeds available time. The fix should swap in a park whose prefetched round trip actually fits the available window, preferring one with matching features, and update the activity name and regenerate accordingly. If no park fits, I'll keep the closest one but show its real round trip time honestly rather than hiding the mismatch. I want to check the route-fetching and condition logic before committing to this. bash $ cd ~/touch-grass-agent/apps/server/src && ls conditions && cat conditions/route .ts 2 /dev/null | head -150; cat workflow.ts I want to check places.ts to see how the walking range is calculated, along with the preferredPark and matchScore logic, and whether the Park type includes a distanceMeters field. bash $ cd ~/touch-grass-agent/apps/server/src && rg -n "availableMinutes|walkingRadius|radius|METERS|speed|distanceMeters" conditions/places.ts recommend.ts geo.ts | head -40; rg -n "function preferredPark|function matchScore|function wantedFeatures" -A 14 recommend.ts ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/recommend.ts I noticed I already had a PLACE WORDS constant separate from PARK WORDS—different purposes, so I'll leave them as is for now. The real issue is that candidate parks get filtered by straight-line distance with an assumed 1.3x detour factor, but actual routes can be much longer than that estimate; since routes are already being prefetched in parallel with Gemma, I could use the real route data for the decision without adding delay. I'm thinking the cleanest approach is to await the route round trips in getConditions and filter out parks whose round trip exceeds availableMinutes before passing anything to Gemma — that way Gemma's description always matches reality, with no post-hoc mismatches. If I run the route fetch in parallel with the features fetch which already waits up to 3s , the added latency should be close to zero. The remaining question is what to do if OSRM fails or if no parks fit within the time budget — fall back to straight-line filtering, or keep the closest park anyway and let the card show it exceeds available time. That way the preview and the walk scene stay consistent, both showing the honest route time. I'm also considering attaching the round-trip minutes to each park object so the model gets informed context, and sketching a helper that fetches or caches round-trip walks per origin-destination pair, filling in missing entries before returning them all. This makes the separate prefetch step somewhat redundant since routes get fetched during getConditions anyway — though I need to be careful about the unsafe-weather case where prefetching is normally skipped. Simplest approach is to just always fetch routes in parallel with weather/air data since it's a single cheap OSRM request either way, and then update the README and docs that reference the old prefetch timing behavior. I'll keep the Sentry screenshot but reword its caption to something generic and still accurate, since I can't regenerate the actual trace. For timeout handling, routes should have a bound similar to the feature fetch so total latency stays close to the slower of the two, and if routes time out the park objects simply carry a null round-trip time, which buildResponse can display honestly — I need to check how the Gemma prompt in agent.ts handles that null field. Since straight-line distance underestimates real walking routes, I'll fetch actual round-trip times and park features in parallel, filter out parks that don't actually fit before Gemma picks, and ensure the card reflects the real route. First, I'll check how the prompt currently describes parks. bash $ cd ~/touch-grass-agent/apps/server/src && rg -n "distanceMeters|nearbyParks|features|durationMin|availableMinutes" agent.ts; rg -n "prefetch" -r '' . ; rg -n "Park\b|nearbyParks" --type ts . | rg -v "recommend.ts|agent.ts" | head ~/touch-grass-agent/apps/server/src/agent.ts I should add a roundTripMin field to the park data and update the prompt to clarify that durationMin must be at least the measured round-trip walking time when known, keeping the change minimal since the server already enforces a max route constraint. Now I'm updating route.ts to replace the prefetch function for round-trip walks. Writing the batch fetch logic... Actually I want to simplify so a cache miss falls back to a direct per-destination fetch rather than relying on remember's returned array, since a rejected cached promise might linger before its cleanup runs and cause duplicate refetch attempts on failure—better to just treat failures as null results in getConditions rather than retrying individually. I'm now updating getConditions in recommend.ts to handle the nearby parks lookup with a safe fallback. Writing the park details helper, pulling features and round-trip routes in parallel with Overpass/OSRM, then filtering out parks whose measured round trip exceeds the available time, with a timeout wrapper so a slow external call doesn't block the whole plan. I'm spotting a logical gap: if every park gets filtered out by the round-trip check, the user just gets a generic "walk around your neighborhood" suggestion, which feels honest but maybe too easy to trigger. There's also an edge case where the "worth the walk" distance filter discards closer parks before the route check, but those closer parks might actually have fit if the farther ones got dropped for exceeding time -- I should move that distance-based filtering to happen after the route filtering instead. Weighing whether to overhaul getNearbyParks to handle this properly versus accepting the rare edge case and moving on. I decide it's not worth the added complexity for an infrequent scenario, so I'll leave the current ordering and just make sure buildResponse correctly takes the max of the recommended duration and the actual round-trip route time. I also confirm removing the old prefetch functions since routing now happens inside the gather-conditions step, and note that fetching routes even when the weather is unsafe to go outside causes one wasted OSRM call -- acceptable tradeoff rather than adding sequencing delay. Time to write the actual code now. I'll measure the actual round-trip travel time to each park before passing data to Gemma, so the "reachable within time" guarantee in the prompt is backed by real numbers rather than assumed. ~/touch-grass-agent/apps/server/src/conditions/route.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts I'm updating the duration calculation to take the max of the recommendation's duration and the route's duration when a route exists, then checking whether availableMinutes is still needed elsewhere in the function before removing it. ~/touch-grass-agent/apps/server/src/recommend.ts bash $ cd ~/touch-grass-agent/apps/server/src && rg -n "availableMinutes" recommend.ts | sed -n '1,40p' | tail -8; rg -n "prefetchRoutes|Routes" workflow.ts ~/touch-grass-agent/apps/server/src/workflow.ts ~/touch-grass-agent/apps/server/src/workflow.ts ~/touch-grass-agent/apps/server/src/workflow.ts ~/touch-grass-agent/apps/server/src/agent.ts I should also check the forbidden-terms rule about field names like distanceMeters and windKmh, and make sure roundTripMin gets added to that list too. ~/touch-grass-agent/apps/server/src/agent.ts ~/touch-grass-agent/apps/server/src/agent.ts bash $ cd ~/touch-grass-agent && pnpm typecheck 2 &1 | rg -v "^$" | tail -8 Typecheck passes. Now calling getConditions directly for 15, 30, and 60 minutes at two locations, to see the measured round trips and which parks are dropped: Since the typecheck passed, other places constructing Park objects should be fine. Now I want to test getConditions directly at 15, 30, and 60 minutes for Seoul and a few other locations, printing out parks with distance and round-trip time along with how many got dropped, before moving on to real requests. /tmp/roundtrip-test.mts bash $ cd ~/touch-grass-agent/apps/server && npx tsx /tmp/roundtrip-test.mts 2 &1 | rg -v '^\s $' Ah, that park actually is in the list — the mismatch was a curly apostrophe versus a straight one in the name, which is why my matching failed. My unlisted-park fallback worked around it, but the real fix is to normalize apostrophes when comparing names. Checking the 30/15 min filters for Seoul City Hall, the drop counts look right, and the Overpass timeout delays are pre-existing and unaffected by the gather change. I want to patch the sanitize logic to normalize curly and straight apostrophes before matching the activity text against park names, and make sure the Hangul replacement uses the normalized activity string too — let me look at that code section to apply the fix. Filtering is working as expected, and I've traced the earlier "unlisted park" issue to a curly vs. straight apostrophe mismatch in "Postal Administration Citizen's Park." I'll now fix the name matching logic to ignore apostrophe style differences. ~/touch-grass-agent/apps/server/src/recommend.ts I'm normalizing curly quotes to straight ones in the activity text so it matches consistently between the named park and stray Hangul checks, using that normalized version for the output title. I also need to handle the case where the model picks a park that got filtered out for being too far. ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts PARK WORDS.test ~/touch-grass-agent/apps/server/src/recommend.ts That replace didn't go through even though the string looked identical—maybe the file changed underneath me. I'll retry with a smaller, more targeted string. ~/touch-grass-agent/apps/server/src/recommend.ts Now testing sanitize with the curly apostrophe, and confirming earlier cases still behave: /tmp/quote-test.mts bash $ cd ~/touch-grass-agent && pnpm typecheck 2 &1 | rg "error|Done" ; cd apps/server && npx tsx /tmp/quote-test.mts 2 &1 | rg -v '^\s $' That "Gyeonghui Palace Garden" case seems fine since the name does contain the real palace name. Now I want to test against the actual running server with real requests—30 min in Seoul, 15 min, and 60 min for kids—to verify the card duration matches or exceeds the route duration. Apostrophe matching checks out and earlier cases still pass. Now I'll send real requests for 15, 30, and 60 minutes to the running server to verify the card time covers the route and stays within budget. bash $ cd /tmp && for spot in "37.566 126.9784" "37.4979 127.0276"; do set -- $spot; for m in 15 30 60; do curl -s -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":$1,\"lon\":$2,\"availableMinutes\":$m,\"preferences\":null}" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;const c=r.recommendation;console.log '$1 avail $m | card',c.durationMin,'| route',r.route?.durationMin??'-','|',r.source,'|',c.activity } "; done; done All six requests failed right away with no recommendation in the response. Checking what the server returned and its log: bash $ curl -s -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d '{"lat":37.566,"lon":126.9784,"availableMinutes":30,"preferences":null}' | head -c 600; echo; tail -25 ~/.cursor/projects/Users-me-touch-grass-agent/terminals/4264.txt | cut -c1-300 The server works now. The earlier failures happened while it was restarting after my edits. Running the six requests again: The server's working now, so that earlier failure was likely just a mid-edit restart crash. I'll rerun the loop with more error-tolerant parsing, keeping in mind Gemma's existing "street food vendors" entry might be pre-existing content. bash $ cd /tmp && for spot in "37.566 126.9784" "37.4979 127.0276"; do set -- $spot; for m in 15 30 60; do curl -s -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":$1,\"lon\":$2,\"availableMinutes\":$m,\"preferences\":null}" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;const c=r.recommendation;if c return console.log 'ERR',s.slice 0,200 ;console.log '$1 avail $m | card',c.durationMin,'| route',r.route?.durationMin??'-','|',r.source,'|',c.activity,'|',r.bikeStation?'bike':'' } "; done; done The loop itself was wrong: zsh doesn't split $spot into words. Fixing the shell loop: Right, zsh doesn't word-split unquoted variables by default like bash does, so set -- $spot won't split on whitespace. I need to use ${=spot} to force word-splitting in zsh. bash $ cd /tmp && for spot in "37.566,126.9784" "37.4979,127.0276"; do lat=${spot%, }; lon=${spot ,}; for m in 15 30 60; do curl -s -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":$lat,\"lon\":$lon,\"availableMinutes\":$m,\"preferences\":null}" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;const c=r.recommendation;if c return console.log 'ERR',s.slice 0,200 ;console.log '$lat avail $m | card',c.durationMin,'| route',r.route?.durationMin??'-','|',r.source,'|',c.activity,'|',r.bikeStation?'bike':'' } "; done; done I'm checking that all card values stay within range, noting the bike fallback is fine since the route shown is just a pre-existing walking path. For Seoul's Hwangudan Park entry, I'm double-checking whether the place name mismatch matters since a route exists, suggesting the model likely matched by place ID rather than exact name. On the Gangnam 30-minute case, picking the closest 11-minute card is just Gemma's existing behavior and not something I need to fix now. The durationMin-vs-route consistency looks fine with the max handling in place, so I'm ready to commit and move on to updating the README: revising the "how it works" section to mention routes are fetched in parallel while Gemma thinks, adjusting the walking-range bullet to clarify parks are filtered by measured round trip, and fixing the now-inaccurate claim that plan-route takes 0ms since routing isn't purely cached anymore. All six real requests now show card times matching or exceeding their routes within the chosen window—e.g., Seoul City Hall's card went from 30 vs 40 to a correct 29 vs 29. Committing this fix, then updating the README's route fetching notes. bash $ cd ~/touch-grass-agent && git add apps/server && git commit -q -F - <<'EOF' fix: keep only parks whose round trip fits - Measure round trips with the park features, before Gemma picks - Drop parks whose real walk is longer than the time chosen - Give Gemma each park's roundTripMin - The card always covers the real route time - Match park names written with curly apostrophes EOF git log --oneline -1; rg -n "OSRM|walking range|Gemma is thinking" README.md I can't recapture the Sentry screenshot since I don't have UI access, so I'll keep the existing image but write generic alt text that's accurate either way—describing it as a trace of one recommendation showing the workflow steps, the Gemma call, and outgoing API requests, while noting in the report that fresh access is needed to confirm details like the OSRM span. ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md I'm double-checking the constants and claims I mentioned—detour factor, cache TTL, wait time—all line up, and the README's park example still holds. I'm also confirming the demo cards behave correctly for the 60-minute case, and noting that if routes time out, the park list stays unfiltered which is still an honest fallback. There's a minor edge case with the "worth the walk" filter potentially dropping all nearby parks if none clear the distance threshold, but checking Seoul's 15 and 30-minute scenarios shows it's working fine in practice—this is low risk and only matters in rare all-fail situations, so I'll just note it briefly rather than fix it now. Time to commit the docs and push since the README checks out. bash $ cd ~/touch-grass-agent && git add README.md && git commit -q -F - <<'EOF' docs: explain round trips measured before Gemma - Describe dropping parks whose real round trip is too long - The last workflow step reuses the cached route - Make the Sentry screenshot alt text match any trace EOF git rev-parse HEAD .git/readme-checked && git push -q && git status -sb | head -1 && git log --oneline -3 The card time and the route time now agree, and the card always stays within the time you chose. This is fixed, committed, and pushed. Why they disagreed: the server finds candidate parks by straight-line distance and assumes walking paths are about 1.3 times longer. Real streets are sometimes longer than that. Near Seoul City Hall, a 30-minute search included parks whose real round trip was 35–50 minutes. The card was capped at 30 while the map showed 40. What changed: - Real round trips are measured before Gemma picks. One routing request measures the walk to every park, at the same time as the park-features lookup, so the wait barely changes. Parks whose round trip is longer than your chosen time are removed from the list. Gemma also sees each park's measured minutes roundTripMin . - The card always covers the route. If the routing server is too slow and the round trips can't be measured in time, the card shows the real route time instead of cutting it down to the chosen time. - Park names with curly apostrophes now match. While testing I found that "Postal Administration Citizen's Park" from the last session was a real listed park. Gemma had written it with a curly apostrophe ’ , so the name match failed. It now matches, and Gemma's choice is kept. Checks: - Typecheck passes. - I called the changed functions directly for 15, 30, and 60 minutes at Seoul City Hall and Gangnam. At City Hall, 3 of 6 parks were removed for 30 minutes and 2 of 3 for 15 minutes. - I sent 6 real requests to the running server. In every one, the card time covered the route and stayed within the chosen time. City Hall at 30 minutes now gives 29 on the card and 29 on the route, where it used to be 30 vs 40. - The README now explains how round trips are measured. Still left: - Sentry screenshot is outdated. docs/sentry-trace.png still shows the old order, where routes were fetched while Gemma was thinking. I can't open the Sentry dashboard from here to take a new one, so I only changed its alt text to something true for any trace. - If no park fits the time, there's no map or preview. The suggestion becomes "Take a walk around your neighborhood". Parks very close to you are skipped when farther ones exist, so in rare cases a close park that would fit isn't checked. I didn't see this happen in testing, and changing how parks are searched is a separate change. - Gemma sometimes picks a much shorter park than the time allows for example, an 11-minute park when 30 minutes were chosen . The card and route still agree; this is about how Gemma chooses, not this mismatch. 카드 시간과 경로 시간이 이제 일치하고, 카드는 항상 고른 시간 안에 들어옵니다. 수정, 커밋, push까지 끝냈습니다. 달랐던 이유: 서버는 후보 공원을 직선거리로 찾고, 실제 걷는 길이 약 1.3배 길다고 가정합니다. 실제 길은 그보다 더 길 때가 있습니다. 서울시청 근처에서 30분으로 찾으면 실제 왕복이 35–50분인 공원이 포함됐습니다. 그래서 카드는 30분으로 잘리고 지도는 40분을 보여줬습니다. 바뀐 점: - Gemma가 고르기 전에 실제 왕복 시간을 잽니다. 경로 요청 한 번으로 모든 공원까지의 왕복을 재는데, 공원 시설 조회와 동시에 해서 대기 시간은 거의 늘지 않습니다. 왕복이 고른 시간보다 긴 공원은 목록에서 뺍니다. Gemma도 공원별 실측 시간 roundTripMin 을 봅니다. - 카드는 항상 경로 시간을 포함합니다. 경로 서버가 너무 느려서 미리 재지 못한 경우에는, 카드가 고른 시간으로 잘라내지 않고 실제 경로 시간을 보여줍니다. - 둥근 아포스트로피가 들어간 공원 이름도 맞춥니다. 테스트하다 보니 지난번 "Postal Administration Citizen's Park"는 실제로 목록에 있는 공원이었습니다. Gemma가 둥근 아포스트로피 ’ 로 써서 이름 비교가 실패했던 것입니다. 이제 맞춰지고, Gemma가 고른 공원이 유지됩니다. 확인: - 타입체크 통과. - 서울시청과 강남에서 15·30·60분으로 바뀐 함수를 직접 호출했습니다. 시청에서는 30분일 때 6개 중 3개, 15분일 때 3개 중 2개 공원이 빠졌습니다. - 실행 중인 서버에 실제 요청 6개를 보냈습니다. 모든 경우에 카드 시간이 경로를 포함하고 고른 시간 안에 들어왔습니다. 시청 30분은 예전에는 30 대 40이었는데, 이제 카드 29분, 경로 29분입니다. - README에 왕복 시간을 재는 방식을 적었습니다. 남은 부분: - Sentry 스크린샷이 예전 것입니다. docs/sentry-trace.png 는 Gemma가 생각하는 동안 경로를 가져오던 예전 순서를 보여줍니다. 여기서는 Sentry 대시보드를 열 수 없어서 새로 찍지 못했고, 대체 텍스트만 어떤 트레이스에도 맞는 설명으로 바꿨습니다. - 시간 안에 맞는 공원이 하나도 없으면 지도와 미리보기가 없습니다. 추천은 "Take a walk around your neighborhood"가 됩니다. 더 먼 공원이 있으면 아주 가까운 공원은 건너뛰기 때문에, 드물게 시간에 맞을 가까운 공원을 확인하지 못할 수 있습니다. 테스트에서는 이런 경우가 없었고, 공원 검색 방식을 바꾸는 건 별도 작업입니다. - Gemma가 가끔 시간보다 훨씬 짧은 공원을 고릅니다 예: 30분을 골랐는데 11분짜리 공원 . 카드와 경로 시간은 일치합니다. 이번 불일치 문제가 아니라 Gemma가 고르는 방식의 문제입니다. I'm considering whether a full preview test run is needed, but since the web code itself didn't change, I can skip the heavy verification. The agent added one shared in-memory cache apps/server/src/cache.ts with a lifetime for each kind of data: 10 minutes for the same suggestion and for weather within about 1 km, a day for place searches and routes, 6 hours for park photos, and never for live bike counts. Identical requests share one Gemma call, and an older weather reading stands in when Open-Meteo fails. It also keeps the app from hammering Nominatim and Overpass, which are free public services. When I asked for numbers, it wrote a benchmark that runs the commits from before and after caching side by side in git worktrees, alternating the runs so changes in network speed hit both. | Scenario | Before | After | |---|---|---| | Reopen the same preview | 5.5 s | 4 ms | | Search the same city again | 10.3 s | 0.1 s | | 3 identical requests at once | 22.8 s | 12.1 s | | A whole six-step session | 58.8 s | 39.2 s | | Outside API calls per session | 28 | 17 | | Gemma calls per session | 8 | 5 | It also reported what didn't get faster. A first visit has nothing to reuse, and caching the data around Gemma saves only 1 to 2 seconds. The big gains all come from requests Gemma doesn't have to answer again. Commits: 5512232 https://github.com/scs0209/touch-grass-agent/commit/5512232 , 550c51f https://github.com/scs0209/touch-grass-agent/commit/550c51f , 2bdb30c https://github.com/scs0209/touch-grass-agent/commit/2bdb30c . Method and raw runs: docs/benchmarks/caching.md https://github.com/scs0209/touch-grass-agent/blob/main/docs/benchmarks/caching.md 빠른 응답과 동영상 생성 성능 개선을 위해 현재 프로젝트에서 캐싱을 적용할 수 있는 지점을 전체적으로 분석하고 적용해주세요. 특히 사용자가 한 번 방문하거나 검색했던 장소 처럼 다시 사용할 가능성이 높은 데이터와, 동영상 생성 과정에서 반복적으로 사용하는 데이터/리소스를 중심으로 확인해주세요. 이전 검색 기능과 자연스럽게 연동될 수 있는 구조를 고려해주세요. 캐싱을 통해 다음과 같은 상황에서 체감 속도가 빨라지는 것을 목표로 해주세요. 캐싱 자체가 목적이 아닙니다. "한 번 처리한 데이터를 다시 처리하지 않음으로써 응답 시간과 동영상 생성 시간을 줄이는 것" 이 목적입니다. 따라서 작업 전에 현재 프로젝트의 데이터 흐름을 먼저 분석하고, 를 판단한 후 구현해주세요. 이미 프로젝트에서 사용 중인 상태 관리나 데이터 fetching 라이브러리가 있다면 해당 라이브러리의 캐싱 기능을 우선적으로 활용하고, 불필요하게 새로운 캐싱 라이브러리를 추가하지 마세요. 작업 완료 후에는 다음 내용을 정리해주세요. Translation To get faster answers and faster video generation, analyze where caching can help across the project and apply it. Focus on data that is likely to be used again, such as places the user has visited or searched once, and data or resources the video generation uses over and over. Requirements: 1. Analyze where caching is possible. Check the data flow and the video generation first, find what gets requested or generated repeatedly, and don't cache blindly: start with the areas where caching really improves performance. 2. Cache places searched or visited before. Reuse a place's name, coordinates, city, and map data instead of requesting them again, avoid calling APIs again for the same place, and fit in with the existing "recent searches" feature. 3. Cache the video generation. Check what gets regenerated for the same place or input, cache reusable intermediate results and static resources, and don't regenerate results that already exist. Start with the slow or costly work. 4. Map and 3D data. If the 3D map fetches the same data repeatedly, make it reusable, but don't blindly cache data that must be realtime. 5. Images and static resources. Pick the right kind of cache for each browser cache, memory, local storage, server cache . Don't just put everything in localStorage. 6. Invalidation. Decide when to refresh or delete entries, use sensible TTLs so old data doesn't stay forever, and fall back to the normal API or generation when the cache is empty or wrong. 7. Duplicate requests. If several components request the same data at once, share one request's result where possible. 8. User experience. It should feel faster when reselecting a place searched before, exploring another place in the same city, making a video for a place used before, reloading map or 3D data, and reopening an earlier result. Caching is not the goal. The goal is to cut response time and video generation time by not processing the same data twice. So analyze the data flow first what repeats, what takes longest, what can be reused, where a cache helps most and then implement. Prefer the caching features of libraries the project already uses, and don't add a new caching library. When you're done, summarize: where you added caching, which strategy, the lifetime and invalidation rules, the expected improvement, and the changed files with the reason for each. I'll start by mapping the data flow: every outgoing request on the server and in the browser, what is already cached, and what the video preview loads. Then I'll measure the slow parts before changing anything. This is a big task, so I should plan my exploration efficiently before diving in. Given the user's preference for checking codebase structure via the memory tool first, I'll start with listing projects and checking the architecture before falling back to targeted searches. I'll inventory server outbound calls and existing caches by searching for cache-related patterns, Map usage, and fetch calls across the apps. fetch\ |new Map<|CACHE|cache|TTL|expiresAt ~/touch-grass-agent/apps bash $ cd ~/touch-grass-agent && ls apps/server/src apps/server/src/conditions apps/web/src/preview apps/web/src/services && cat apps/web/package.json apps/server/package.json | rg '" react-query|@tanstack|swr|zustand|lru|idb|maplibre|leaflet|hono|@mastra|ollama ' There's no react-query or SWR in use; the server already caches Nominatim, features, routes, and image URLs with varying TTLs. But weather, air quality, bikes, Gemma the slow ~10s call , photo searches, city geocoding, trip photos, and flyover styles are all uncached and fetched directly in the browser. Let me dig into the relevant files—photos, weather, airQuality, bikes, the workflow and API entry points, location handling, WalkPreview, flyoverMap, assets, music, and film—to see exactly where these loads happen. The server already caches park searches, features, routes, and photo URLs, but there's no data-fetching library on the web side. I'll now check the uncached parts—weather, air quality, bikes, photos, the server entry point, and browser requests. ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/index.ts ~/touch-grass-agent/apps/web/src/services/api.ts ~/touch-grass-agent/apps/web/src/services/location.ts Now the video side: how the preview loads the 3D map, photos, music, and assets. I'm now looking at the preview component and related loading stages—flyover map, assets, music, and film—to find where async loads happen in the preview flow. bash $ cd ~/touch-grass-agent/apps/web/src && wc -l preview/ .ts components/WalkPreview.tsx && rg -n "await |new Image|loadImage|decode\ |fetch|AudioContext|decodeAudioData|import\ |createImageBitmap|toBlob|MediaRecorder|warm|prepare" components/WalkPreview.tsx preview/assets.ts preview/music.ts preview/recording.ts preview/flyoverMap.ts | head -80 ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/preview/flyoverMap.ts ~/touch-grass-agent/apps/web/src/preview/assets.ts Now loadFilm in film.ts , which drives the photo request, image decoding, and backdrop processing: ^export async function loadFilm|fetchTripPhotos|tripPhotoUrl|softenPixels|function soften|loadPhoto|async function|await |getImageData|OffscreenCanvas|createElement\ 'canvas'\ ~/touch-grass-agent/apps/web/src/preview/film.ts ~/touch-grass-agent/apps/web/src/preview/film.ts Before choosing what to cache, I need to know what the video shows that depends on the clock, and whether the outside services already allow browser caching. Checking both: I'm measuring where the time actually goes: the recommend endpoint takes roughly 8-15 seconds total across Nominatim, Overpass, OSRM, weather/air quality, bikes, and the Gemma call, while the preview path adds style fetching, tile warm-up, and trip photo searches on top of that. The real bottleneck is photo downloads -- fetching 2048px images server-side can take up to 7 seconds each, and since each search gets a random UUID cache key, the browser never actually reuses cached photos across searches. I'm thinking about caching the trip photo search results by entrance/destination/placeName instead, since a park's photos don't change often, but I need to account for Mapillary's signed thumbnail URLs expiring after a few days, so a safe TTL of around 1-6 hours with a fallback refetch on 403 errors seems reasonable. Switching to deterministic hash-based keys instead of random UUIDs would let the browser's own HTTP cache handle repeat requests properly, and pairing that with a bounded in-memory LRU cache for photo bytes server-side maybe 60MB would avoid re-downloading images from Mapillary every time the preview reopens. On the client side, I'm thinking about caching the tripPhotos response per place/destination/entrance combo in memory so reopening the same preview skips the network call entirely, plus caching the processed canvases graded + backdrop versions keyed by photo and mood, since that CPU work of grading and softening takes real time per photo. I'm also considering memoizing the map style JSON as a module-level promise since it's static per session, and checking whether tile responses are HTTP-cacheable. The biggest potential win might be keeping a MapLibre instance alive between opens for the same place to skip WebGL init, style parsing, and tile decoding entirely — though that costs GPU memory, so reuse would need to be limited to matching inputs. Even bigger: the already-recorded video Blob could be cached in memory keyed by input, letting a reopened preview play the actual recorded file music included via a <video element instead of re-rendering the canvas in real time — turning reopening into instant playback with no map or photo loading at all, though I need to weigh this against the recorded bitrate quality. I realize identity might not be stable if StoryInput is rebuilt on remount, so I should key the cache on a stable JSON string instead. But since the film includes time-sensitive chips like "leave now" or "be back by," the cache can't live forever—I need a short TTL maybe 5-10 minutes or fold the rounded departure time into the cache key so stale clocks don't show in a replayed video. Same caching logic applies to the illustrated fallback story when WebGL isn't available. For the recommendation result cache itself, I'm thinking the server-side response can be cached per normalized request since weather forecasts don't meaningfully change within a 10-minute window, which would let repeated picks of a recent place skip the slow Gemma call. But "Another place" needs a fresh result since excludePlaces changes the cache key, so that's naturally handled. The trickier part is deciding whether to round lat/lon in the cache key to absorb GPS jitter — maybe 2-4 decimal places — while still computing with exact coordinates; weather/air caching helps reduce API calls but likely isn't on the critical path since findParks Nominatim + Overpass + OSRM is probably the real bottleneck, so I should actually measure rather than assume. Bike availability data should stay uncached or very short-lived given its real-time nature. For city geocoding, coordinates are stable and cheap to cache in an in-memory module-level Map with promise dedupe rather than localStorage, since recent places already store resolved coordinates and avoid re-geocoding. Leaflet tiles and static preview assets are already handled by browser HTTP caching, so no action needed there, and WebAudio-synthesized music is cheap enough per play to ignore. I also want to make sure concurrent request deduping is solid — server caches should store in-flight promises, and I need to check if React StrictMode is causing double effect execution in dev which would double-fire preview loading , though aborted requests shouldn't pollute the cache either way. Before making changes, my plan is to first instrument timing: break down the recommend endpoint's cold vs warm call latency, and measure the preview's load phases style fetch, warm-up, photo search/download, grading using resource timing or click-to-ready instrumentation, comparing first open vs. repeat open. I also want to check the actual cache-control headers on the style, tile, and geocoding endpoints, and look into film.ts to see how it's computing displayed clock times. new Date|Date\.now|toLocaleTimeString|StrictMode ~/touch-grass-agent/apps/web/src bash $ for u in "https://tiles.openfreemap.org/styles/liberty" "https://geocoding-api.open-meteo.com/v1/search?count=1&name=Seoul" "https://tile.openstreetmap.org/15/27940/12693.png"; do echo "== $u"; curl -sI -A "touch-grass-agent/0.1" "$u" | rg -i "^ cache-control|expires|etag|last-modified|age|content-length :"; done; echo "== tilejson"; curl -s https://tiles.openfreemap.org/styles/liberty | node -e 'let s="";process.stdin.on "data",d= s+=d .on "end", = {const j=JSON.parse s ;console.log JSON.stringify Object.values j.sources .map x= x.url||x.tiles } ' I'm noting that OSM tiles get cached via the standard HTTP header, while geocoding responses lack cache headers so the browser won't cache them—making an in-memory cache worth adding even if small. Now I want to trace where the film's time values originate, likely in story.ts or film.ts pulling from input.conditions, so I'll search for references like "leaveBy" or "back by". bash $ cd ~/touch-grass-agent/apps/web/src && rg -n "back by|Leave|leave|clock|HH|getHours|now\b" preview/film.ts preview/story.ts preview/titles.ts | head -20; rg -n "StoryInput|storyInput|toStoryInput" --glob ' .{ts,tsx}' . | rg -v "^./preview/ film|story " | head; curl -sI "https://tiles.openfreemap.org/planet" | rg -i "cache-control"; curl -s https://tiles.openfreemap.org/planet | node -e 'let s="";process.stdin.on "data",d= s+=d .on "end", = {const j=JSON.parse s ;console.log j.tiles 0 } ' The "back by" time is fixed at fetch time from the server's conditions, so the video content is deterministic per result and remains valid for the result's entire lifetime — meaning I can cache it keyed to the result itself, though the displayed "back by X" text will eventually go stale as real time passes. Now I should check the vector tile headers to confirm the pbf format. bash $ curl -sI "https://tiles.openfreemap.org/planet/20261004 113936 pt/14/13970/6345.pbf" | rg -i "^ cache-control|expires|content-type|access-control "; curl -sI "https://tiles.openfreemap.org/fonts/Noto%20Sans%20Regular/0-255.pbf" | rg -i "^ cache-control|HTTP " Since tiles are cached by the browser, the remaining re-open cost is WebGL init, style/tile parsing, and the warm-up loop. I'm drafting a CDP script to load the app, run a Seoul search, click into the walk preview, and time each stage. I also want to track network behavior during preview—counting trip-photo POSTs, photo GETs, and whether tiles come from disk cache or network—then close and reopen the app to compare cold vs warm timings, and separately measure recommend/another-place latency and server-side per-source timings via a tsx script. I should also double check whether headless Chrome actually gets WebGL, recalling that film-capture.mjs worked headless, possibly via a swiftshader flag I need to verify. Caching is solid across map tiles, style, and fonts, but the city lookup via Open-Meteo geocoding has no cache headers. Next, I'll measure server-side timing per data source with both a cold and warm call. bash $ cd ~/touch-grass-agent/apps/server && rg -n "^export async ?function" src/conditions/ .ts src/recommend.ts src/workflow.ts src/mastra.ts | head -30 ~/touch-grass-agent/apps/server/src/mastra.ts ~/touch-grass-agent/apps/server/src/workflow.ts ~/touch-grass-agent/apps/server/src/conditions/weather.ts ~/touch-grass-agent/apps/server/src/conditions/airQuality.ts The failing weather fetch currently kills the whole recommendation since it's non-optional in the Promise.all. I'm thinking a cache could double as a stale-if-error fallback — serve the last known weather value up to maybe 60 min old if a fresh fetch errors out, which beats returning a 502, especially since Open-Meteo only updates every 15 minutes anyway. I'll keep the fresh TTL at 10 minutes but cap stale-on-error serving to around 30 minutes to stay modest. Next I want to actually measure timings — writing a script that wraps fetch globally to log host and duration for each call weather, air quality, nearby places, features, routes, model call, and the full recommend flow cold vs warm so I get a timing breakdown for free. I'll wrap fetch to log each outgoing request and time the Gemma call separately, then run the same suggestion cold, warm, and as "Another place" to see where the time goes—since weather/air quality aren't cached and a weather failure can sink the whole suggestion. ~/touch-grass-agent/apps/server/timing.tmp.mts bash $ cd ~/touch-grass-agent/apps/server && npx tsx --env-file=.env timing.tmp.mts 2 &1 | grep -v "^\ \|Skipping\|^$" | tee /tmp/timing-before.txt Gemma dominates latency at 5-12 seconds on every request, even repeated ones. Weather and air quality calls run in parallel at 1.2-2.3 seconds, so caching those could shave a bit off warm requests, while Overpass actually takes 9-10 seconds even though the app only waits 3 seconds for it, suggesting a timeout mismatch worth investigating. That 10-second mark looks suspiciously like a timeout threshold — if Overpass hits that boundary, the request may fail and the cache entry never gets written, which would explain why features get refetched even for the same pinned location later. The clearest optimization is a response-level cache for identical requests: if someone picks the same recent place or repeats a search within a short window, I can skip the expensive Gemma call entirely by keying on normalized inputs rounded origin, minutes, preferences, place . Since GPS coordinates jitter slightly, I'd round to roughly 4 decimal places to catch near-duplicate "check right here" requests as cache hits. I'm leaning toward putting this cache server-side rather than client-side since it survives page reloads and dedupes concurrent identical requests across all clients. It should live in the recommend function, deduping in-flight requests via a shared promise, and it should skip caching fallback responses so a failed Gemma call doesn't poison future attempts. Since bike station availability changes minute to minute, I'll shorten the TTL to 2 minutes specifically for responses that include bike station data, while keeping the default at 10 minutes otherwise. For weather and air-quality lookups, a 10-minute cache keyed by lat/lon rounded to 2 decimals makes sense given Open-Meteo's grid resolution, and I'd add a stale-if-error fallback that serves the last good value if it's under an hour old rather than failing outright. The bigger issue I'm spotting is Overpass feature lookups timing out at 10s and getting dropped entirely, meaning they never get cached and every subsequent request re-hits Overpass without feature data. Raising that timeout to something like 25s would let the background request complete and populate the cache even though the user-facing wait stays capped at 3s -- worth checking how features.ts handles this. For trip photos, I'm thinking a server-side cache keyed on rounded entrance/destination/placeName with a 1h TTL, plus stable photo keys so the browser's HTTP cache can reuse already-downloaded images across preview opens. For the finished film, caching the completed video blob per result means reopening plays instantly without rebuilding the map or photos, though I need to handle the case where a run was closed before finishing and no complete recording exists. I'm thinking the video cache should be a module-level in-memory map keyed by a JSON hash of input+outfit, holding the last 3 entries as LRU since videos are large and don't need to persist across reloads — a fresh input like changed weather naturally produces a new key, so no separate TTL is needed beyond the LRU eviction. For playback, I should show the cached recorded <video instead of regenerating on the canvas, accepting the slight quality tradeoff from MediaRecorder compression; since opening the cached result is itself a click, autoplay with sound should be allowed similarly to resuming an AudioContext, but I still need a fallback "Play with music" button in case video.play rejects. Replay just resets currentTime to 0 and replays, triggering the "done" phase on the ended event, while the reduced-motion "still" flag should also be included in the cache key since it changes the rendered output. Next I want to add a memory cache for city geocoding on the client. For geocoding, I'm adding in-flight deduplication and a session TTL cache capped at 20 entries since coordinates for a city don't change, saving a few hundred milliseconds per repeated search -- it's cheap enough to include even though it's a minor win. Now I'm thinking through the recent-places flow and whether cache TTLs line up: the route cache is currently only 10 minutes, but since walking routes rarely change, I'm considering raising it closer to the 24-hour TTL used for features, since re-picking a recent place shouldn't require a fresh OSRM fetch each time. Similarly, I'm reconsidering the Nominatim search cache, currently 30 minutes -- since places don't move and the data changes rarely, raising it to 24 hours would help later re-searches in the same day without meaningful memory cost, since each cached entry holds at most 40 results. I'm also noting these are just in-process memory caches that reset on restart, which is fine for a local app, and that existing maps already prune expired entries on write so growing the TTL shouldn't cause unbounded growth. Since entries will accumulate over a day, I'm thinking of adding a max-size bound alongside the longer TTL. I want to build a shared cache helper with configurable TTL and max entries that handles get/set with promise deduplication, automatically forgetting failed requests so callers retry, and then refactor the existing Nominatim, features, and route caches to use it instead of each reimplementing the same pattern -- reducing duplication while gaining the size cap, even though it touches their batch logic so I'll be careful. For weather I also want stale-on-error fallback so a failed refresh can still return the last known-good value rather than erroring out. I'm working through how to do this without accidentally resetting the stale entry's TTL as if it were fresh -- the key trick is catching the load failure, falling back to the stored stale value, but restoring the original expiry timestamp instead of stamping a new one, so the next call still retries the real fetch. I also want pruning logic that evicts entries once they're past both the TTL and the stale window, combined with LRU eviction for the max-entries cap. Another wrinkle is that some caches need value-dependent TTLs -- like the response cache where a "bike" recommendation might need a shorter cache life than other results. I'm considering letting the cache accept a function that computes the real TTL after the value resolves, so the expiry can be adjusted post-hoc, with a zero-TTL case effectively disabling caching for certain fallback results. For the response cache key, I'm reasoning through what needs to go into it: rounded lat/lon, available minutes, normalized preferences, sorted excluded places, and the "vary from" place -- and confirming that since preferences come through a zod schema, the key order should be stable because zod emits output keys in schema-defined order, so JSON.stringify will serialize consistently. I'm also considering the user-facing implications: caching means an "Another place" exclusion flow or a repeated "Ask again" search in the same city could return instantly from cache, which seems like a win, and that a quick re-check at the same spot within a few minutes returning the same cached answer is acceptable. I note that cached responses would skip the Mastra workflow entirely, so there'd be no Sentry trace generated for those requests, which seems fine for now. Lastly, I want to go check the Overpass timeout handling in the features file. Gemma adds 5-12 seconds on every single request with no caching, even for repeated identical queries, and Overpass hit a slow 10s call that looks like a timeout, also re-run without caching. I'll check whether Overpass results are cached anywhere. ~/touch-grass-agent/apps/server/src/conditions/features.ts ~/touch-grass-agent/apps/server/src/conditions/route.ts I'm realizing Overpass's slow responses often get killed by the current timeouts before caching, so bumping the server-side timeout to around 25s and the client abort to 30s would let slow queries finish and populate the cache instead of retrying every time. I'm checking whether letting that request linger in the background for up to 30 seconds is actually safe resource-wise. Now I want to actually measure preview load timing with a CDP script — searching Seoul, opening the preview, tracking when the loading status clears, and logging the trip-photos request duration, photo sizes/cache hits, and tile cache vs network counts, then repeating after closing and reopening to compare. I also need to check the headless WebGL flags in film-capture.mjs before running this. The Overpass client times out after 8-10 seconds while the public server often takes longer, so slow responses get discarded instead of cached, forcing repeated requests—even though a suggestion only allows 3 seconds. Now I'll check which Chrome flags the existing film capture uses for WebGL in headless mode. bash $ rg -n "headless|angle|gpu|webgl|port" /tmp/film-capture.mjs | head I'm planning a timing script that opens the app, searches Seoul, enables network tracking by request category and cache status, then clicks "Preview your walk" and measures how long until the loading shimmer disappears and the preview actions appear, also checking whether a save-video link becomes available. Then I'll close and reopen to re-measure load time and network counts, close again and try "Ask again" with a recent place to time how long it takes for the recommendation result heading to appear, finally outputting a summary of all these timings. I'll run a headless Chrome test with WebGL to time the loading screen, let the recording finish, then reload to check caching behavior and re-measure how long it takes to pick a recent place. js $ cd /tmp && head -n 43 shots.mjs | sed -e 's/const port = 0-9 ;/const port = 9359;/' -e 's user-data-dir=/tmp/ a-z- user-data-dir=/tmp/cache-profile- ' -e "s '--hide-scrollbars' '--hide-scrollbars', '--enable-unsafe-swiftshader', '--use-angle=swiftshader', '--autoplay-policy=no-user-gesture-required' " cache-timing.mjs && cat cache-timing.mjs <<'EOF' const label = process.argv 2 ?? 'before'; await send 'Network.enable' ; let requests = new Map ; ws.addEventListener 'message', event = { const msg = JSON.parse event.data ; if msg.method === 'Network.requestWillBeSent' requests.set msg.params.requestId, { url: msg.params.request.url, method: msg.params.request.method, start: msg.params.timestamp } ; if msg.method === 'Network.responseReceived' { const r = requests.get msg.params.requestId ; if r { r.cached = msg.params.response.fromDiskCache || msg.params.response.fromMemoryCache || msg.params.response.fromPrefetchCache; r.status = msg.params.response.status; } } if msg.method === 'Network.requestServedFromCache' { const r = requests.get msg.params.requestId ; if r r.cached = true; } if msg.method === 'Network.loadingFinished' { const r = requests.get msg.params.requestId ; if r { r.ms = Math.round msg.params.timestamp - r.start 1000 ; r.bytes = msg.params.encodedDataLength; } } } ; const category = url = { if url.includes '/api/trip-photos/' return 'photo image'; if url.includes '/api/trip-photos' return 'photo search'; if url.includes '/api/recommend' return 'recommend'; if url.includes 'geocoding-api' return 'city lookup'; if url.includes '.pbf' && url.includes 'fonts' return 'map fonts'; if url.includes '.pbf' return '3D map tiles'; if url.includes 'styles/' || url.includes 'planet' || url.includes 'sprite' return 'map style'; if url.includes 'tile.openstreetmap' return 'result map tiles'; return null; }; function summary { const groups = {}; for const r of requests.values { const c = category r.url ; if c || r.method === 'OPTIONS' continue; const g = groups c ??= { n: 0, network: 0, cache: 0, ms: 0, kb: 0 } ; g.n++; if r.cached g.cache++; else g.network++; g.ms = Math.max g.ms, r.ms ?? 0 ; g.kb += r.bytes ?? 0 / 1024; } for const c, g of Object.entries groups console.log ${c.padEnd 16 } ${String g.n .padStart 3 } requests, ${g.network} network, ${g.cache} cache, slowest ${g.ms} ms, ${Math.round g.kb } KB ; requests = new Map ; } const timeIt = async expr, timeout = 120000 = { const t = Date.now ; await waitFor expr, timeout ; return Date.now - t; }; const prefs = JSON.stringify { mode: 'ai' } ; await send 'Page.addScriptToEvaluateOnNewDocument', { source: if sessionStorage.getItem 'seeded' { localStorage.setItem 'touch-grass-preferences', ${JSON.stringify prefs } ; sessionStorage.setItem 'seeded', '1' ; } } ; await send 'Page.navigate', { url: 'http://localhost:5173' } ; await waitFor document.querySelector '.city-form input' , 20000 ; await click '60 min' ; const search = = { const input = document.querySelector '.city-form input' ; Object.getOwnPropertyDescriptor HTMLInputElement.prototype, 'value' .set.call input, 'Seoul' ; input.dispatchEvent new Event 'input', { bubbles: true } ; document.querySelector '.city-form button' .click ; } ; requests = new Map ; await evaluate search ; console.log ${label} search Seoul: ${await timeIt document.querySelector '.result h1' } ms → ${await evaluate resultTitle } ; summary ; await sleep 1500 ; for const round of 'first open', 'reopen same result' { requests = new Map ; await click 'Preview your' ; const ready = await timeIt document.querySelector '.preview-status.shimmer' && document.querySelector '.preview-backdrop' , 60000 ; const kind = await evaluate document.querySelector 'video.preview-canvas' ? 'cached video' : 'live film' ; console.log ${label} preview ${round}: ready in ${ready} ms ${kind} ; summary ; if round === 'first open' { const finished = await timeIt document.querySelector '.preview-actions a download ' , 90000 ; console.log finished recording after another ${finished} ms ; } else { await sleep 1500 ; } await evaluate document.querySelector ' aria-label="Close preview" ' .click ; await sleep 800 ; } await click 'Ask again' ; await waitFor document.querySelector '.recent-pick' ; requests = new Map ; await evaluate document.querySelector '.recent-pick' .click ; console.log ${label} recent place picked again: ${await timeIt document.querySelector '.result h1' } ms ; summary ; await click 'Ask again' ; await waitFor document.querySelector '.city-form input' ; requests = new Map ; await evaluate search ; console.log ${label} same city searched again: ${await timeIt document.querySelector '.result h1' } ms ; summary ; if problems.length console.log 'problems:', problems.slice 0, 3 ; ws.close ; chrome.kill ; process.exit 0 ; EOF node cache-timing.mjs before 2 &1 | tee /tmp/cache-before.txt The 3D tiles probably load via a worker so they wouldn't show up in the page's Network domain. And the photo search showing two POST requests is likely just React StrictMode double-invoking the effect in dev, with the first one aborted — that wouldn't happen in production, but I should dedupe on the client side anyway. An in-flight promise cache wouldn't fully solve the dev duplicate since the first request gets aborted by its own signal, making shared caching across aborts messy — so I'll leave that as is. Looking at the reopen timings: photo images re-download every time 1.4 MB, 5.2s first load , photo search re-runs 3.4s , full reopen takes 6.7s, recent place lookup takes 5.6s, and repeating the same city costs 10s 1.2s city lookup + 8.5s recommend . For the server-side plan, I'm designing a cache helper with TTL, LRU eviction, shared in-flight promises, and stale-on-error fallback. I'm applying this to the recommend endpoint 10 min cache, 2 min if a bike station is involved, skipped for fallback sources, with normalized keys and to weather/air quality lookups 10 min fresh, 1 hour stale-if-error , while thinking through how rounding coordinates to 2 decimals for the cache key could cause up to ~1.1km of drift within the same grid cell. For trip photo searches, I'm keying the cache on rounded entrance coordinates, destination, and place name with a 1 hour TTL, and deciding the shared cached work shouldn't be tied to any individual caller's abort signal — it should rely only on its own timeouts so one caller closing the tab doesn't kill the search for others still waiting on the result. I also need to distinguish between legitimate "no photos found" results safe to cache versus failures from all sources timing out should not be cached long , and I'm planning to use the ttlFor helper to encode that logic. Finally, I'm settling on stable photo cache keys based on hashing the URL. For images I want stable keys so the same photo maps to the same served URL and the browser's own HTTP cache picks it up, aligning the image URL TTL with the search cache TTL — though I should actually check the Mapillary thumbnail URL's embedded expiry parameter to pick an accurate TTL rather than guessing. I'm raising the Overpass query and abort timeouts so slower responses still get cached, and considering extending the route and Nominatim cache TTLs from minutes to 24 hours, reasoning through whether that actually saves meaningful time on repeated route/place lookups within a session. On the client side, I'm planning a geocodeCity memory cache keyed by normalized city name to skip redundant geocoding, and a small LRU video cache keyed by a hash of the generation inputs so previously generated walk preview videos can be reused instantly on reopen instead of live preview, falling back gracefully when recording isn't supported. I'm also confirming that recent places already store coordinates so no re-geocoding is needed, that map tiles benefit from existing HTTP caching, and that sharing the in-flight photo search promise server-side should collapse duplicate StrictMode double-requests into one upstream call — I want to verify the Mapillary URL expiry by wrapping fetch and logging the thumbnail URL's expiry parameter. I've recorded baseline timings showing repeated city lookups, suggestions, and photo fetches aren't being cached, while map styles/fonts already load from browser cache. Next I'll check how long Mapillary's signed thumbnail URLs stay valid before setting a cache lifetime for photo links. ~/touch-grass-agent/apps/server/thumb.tmp.mts bash $ cd ~/touch-grass-agent/apps/server && npx tsx --env-file=.env thumb.tmp.mts 2 &1 | head -5; rm -f thumb.tmp.mts I'm settling on TTLs: thumbs cached ~30 days, photo search and image key caches at 6 hours since new uploads are infrequent. I'm weighing whether to confirm the plan with the user first, but given the instructions to proceed, I'll move forward with implementation. Reopening the preview will reuse the already-rendered video rather than re-rendering, which fits the reuse requirement, and identical requests should return cached results to avoid redundant API calls per the spec. Now I'll write the server cache helper. I've laid out a caching plan covering suggestion, weather/air quality, photo, Overpass, route, and park search caches on the server, plus in-memory city lookup and preview video caches on the browser. Now I'll start building the shared server cache helper. ~/touch-grass-agent/apps/server/src/cache.ts One gap in that helper: while a fresh load is running, a second caller would get the failure instead of the old value. I'm rewriting it so everyone shares the stale fallback: I'm reconsidering the stale fallback: if I share one promise between stale-fallback callers and fresh loading callers, concurrent callers during loading would get the raw rejection instead of the stale value, which isn't quite right—I need to think through how to isolate the fallback behavior from the shared loading promise. I realize the success branch with ttlFor would actually be a no-op since the map entry was already swapped to stale, so order of operations works out correctly. I just need to fix the TypeScript typing by declaring entry as possibly undefined since it's referenced before assignment inside the closure. Time to write the final version. ~/touch-grass-agent/apps/server/src/cache.ts Now moving the existing caches onto the helper, starting with Nominatim park and landmark searches , now kept 24 hours: If load throws synchronously, that should just propagate naturally, which is fine. Now I should refactor searchNominatim in places.ts to use the caching helper with a 24-hour TTL. ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/conditions/places.ts Park features next: same helper, plus a longer Overpass timeout so slow answers still get cached: I'm confirming the cache-hit behavior still skips the rate-limit wait since fetchNominatim only waits on a miss, matching the old logic. Now I'm refactoring to use peek/set and adding a timeout for Overpass requests. ~/touch-grass-agent/apps/server/src/conditions/features.ts ~/touch-grass-agent/apps/server/src/conditions/features.ts ~/touch-grass-agent/apps/server/src/conditions/features.ts ~/touch-grass-agent/apps/server/src/conditions/features.ts ~/touch-grass-agent/apps/server/src/conditions/features.ts ~/touch-grass-agent/apps/server/src/conditions/route.ts ~/touch-grass-agent/apps/server/src/conditions/route.ts ~/touch-grass-agent/apps/server/src/conditions/route.ts ~/touch-grass-agent/apps/server/src/conditions/route.ts The getRoundTrip helper falling back to a fresh fetch if the cached promise rejects still holds up, so I'll add the necessary import and move on to setting up the weather/air quality cache. ~/touch-grass-agent/apps/server/src/conditions/route.ts ~/touch-grass-agent/apps/server/src/geo.ts Weather and air quality next. I'm adding a shared helper for the "about 1 km" key, then putting both behind a 10-minute cache. If Open-Meteo fails, a value up to 30 minutes old is used instead. I'm adding a helper to generate a grid key by rounding lat/lon to a fixed number of decimals, so weather lookups at nearby coordinates within about 1km can share cached results. Then I'm renaming the weather fetch function and wrapping it with a cached getter keyed by that rounded coordinate. I'm worried about stale-if-error caching with a 1-hour window—near sunset, that staleness could cause the day/night calculation to be wrong by up to an hour, which feels risky. I'll reduce the error-staleness window to 30 minutes instead to limit how wrong isDay and minutesUntilSunset could get. ~/touch-grass-agent/apps/server/src/geo.ts ~/touch-grass-agent/apps/server/src/conditions/weather.ts ~/touch-grass-agent/apps/server/src/conditions/weather.ts ~/touch-grass-agent/apps/server/src/conditions/weather.ts ~/touch-grass-agent/apps/server/src/conditions/airQuality.ts ~/touch-grass-agent/apps/server/src/conditions/airQuality.ts Type hoisting should be fine since the Weather interface is defined later. Now I'm setting up a cache for trip photos with a six-hour TTL to avoid redundant searches by place name. For the TTL function, I need to decide caching duration based on whether the search fully completed — successful complete results get the full six hours, while incomplete or failed ones shouldn't be cached at all. For cancellation, I'm racing the shared search against the caller's own abort signal, returning null if the request is cancelled before the search resolves, and otherwise returning the found photos or null. I realize I need to check if the signal is already aborted upfront, since an already-fired abort event won't trigger a new listener. I'm also simplifying the Mapillary and Wikimedia search functions to drop the cancel signal entirely and rely solely on a timeout deadline, which means trimming the cancel parameter out of the shared Search interface. For caching image URLs, I'm switching to a hashed key derived from the URL itself, storing plain URL strings with a six-hour TTL that refreshes on each cache hit, aligning the server-side cache expiry with the browser's Cache-Control max-age setting. Since cached search results reuse keys without refreshing the underlying image cache, the entry naturally expires alongside the search result — that alignment works out fine, and I don't think I need to add in-flight dedupe for the photo downloads since dev-mode double-fetches likely get aborted before reaching that stage. Now I'll make the actual edits to the photos module. I've updated photo search to cache results for 6 hours per park/entrance unaffected by early preview closures and to key photos by a hash of their source URL so the browser can reuse already-downloaded images. ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/conditions/photos.ts ~/touch-grass-agent/apps/server/src/index.ts ~/touch-grass-agent/apps/server/src/index.ts Now the suggestion cache, wrapped around recommend : I'm checking that if a photo download fails after search succeeds, the browser's loadPhoto just skips that photo, which is fine, and confirming the cache expiry windows for search results and image URLs are aligned at 6 hours. Now I'm moving on to think about the response cache key normalization in mastra.recommend. The key groups requests by a coarse grid position, sorted exclude list, and remaining fields, with a 10-minute TTL that drops to zero for fallback sources and 2 minutes for bike-station results. I'm confirming concurrent identical requests share results safely, cached responses keep the originating origin field without causing issues, and the shared response object isn't mutated across uses, so I'm ready to edit mastra.ts. ~/touch-grass-agent/apps/server/src/mastra.ts ~/touch-grass-agent/apps/server/src/mastra.ts bash $ cd ~/touch-grass-agent && rg -n "export type|interface RecommendResponse|source:|bikeStation" apps/server/src/recommend.ts | head; pnpm --filter server typecheck 2 &1 | tail -15 Those errors look like the typecheck ran before the import edit landed. Re-running: I'm wondering if the edits didn't actually take effect, maybe due to a race condition where the typecheck ran in parallel with the file edits. I should re-check the top of mastra.ts and rerun to confirm. bash $ cd ~/touch-grass-agent && head -12 apps/server/src/mastra.ts && rg -n "export type|interface RecommendResponse" apps/server/src && pnpm --filter server typecheck 2 &1 | tail -8 The server typecheck passes. Testing the cache helper directly with edge cases: concurrent sharing, expiry, failures not stored, the stale fallback, a per-value lifetime of 0, and the size limit. Good, that passes. Now I'm writing unit tests for the cache helper covering edge cases: shared in-flight requests, TTL expiry, failure eviction, stale fallback, zero TTL, and LRU behavior. ~/touch-grass-agent/apps/server/cache.tmp.mts bash $ cd ~/touch-grass-agent/apps/server && npx tsx cache.tmp.mts; rm -f cache.tmp.mts All 10 cases pass. Now the browser side. First, the city lookup, cached in memory for the visit with one shared request per city name; a failed lookup isn't stored: I'm adding a memory cache to geocodeCity so each city name is only looked up once per visit, storing promises keyed by normalized name and retrying on failure. Then I'm setting up a small LRU-style video cache in preview/videoCache.ts, capped at 3 entries, keyed by a JSON serialization of the story input, outfit, and still flag, so reopening the same preview plays instantly without re-rendering. I'm confirming recorded videos always include music regardless of mute state, and that only fully completed recordings finish called without interruption get cached, so partial or interrupted ones are discarded. In WalkPreview, I'm wiring up a memoized cache key and checking for a cached replay file on mount, rendering the cached video directly if one exists instead of starting a new render. I'm unifying the play logic so a cached replay and a live recording both route through the same play/blocked handling, with the mount effect branching early to just play the cached video and skip the normal load/record path entirely. On mute, I need to set the muted property imperatively on the video ref rather than relying on the React prop, since browsers are inconsistent about honoring that attribute reactively. Then I'm checking that canvas/video sizing still fits the 9:16 stage, and considering whether to initialize phase as 'playing' for replays to avoid a brief loading flash before playback starts. For the Replay button, I decide live sessions should just rerun the live canvas path as before, while cached sessions replay the saved video file -- no need to switch rendering modes mid-session since re-triggering a live run is cheap once assets are loaded. ~/touch-grass-agent/apps/web/src/services/location.ts ~/touch-grass-agent/apps/web/src/preview/videoCache.ts Wiring the stored video into WalkPreview now — if a recording already exists, I'll play it back via a <video element; otherwise I'll build it live as before and cache the result. ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx I'm spotting a bug: the cleanup effect that revokes the video's object URL will fire during React StrictMode's simulated unmount in dev, breaking the video src even though the component stays mounted with the same state. To fix this properly, I should move object URL creation out of the state initializer and into its own effect, so each recorded video gets its URL created and revoked in a predictable sequence that also survives StrictMode's double-invocation in development. For playback, autoPlay alone is unreliable since the browser could silently block it, so I need to trigger playRecorded explicitly once the video's src is actually set, likely via an effect keyed on the video URL rather than relying on the attribute. I'm also wary of exhaustive-deps lint warnings showing up on a new effect, so I'm weighing whether to avoid the effect entirely and instead drive state transitions off the video element's own events like onPlaying and onEnded, with a fallback path for when autoplay gets blocked. Alternatively I'm considering handling URL creation and revocation imperatively inside the existing mount effect, setting the video state directly and letting the cleanup-on-change effect revoke the stale object URL, so Save/Share still reads from state while playback kicks off once the src is set. Right, the HTML spec says setting the src attribute even to the same value triggers the load algorithm, which would abort playback — so I shouldn't pass src as a React prop at all, just manage it imperatively on the ref, keeping the video element free of a src attribute in the render. For playRecorded, I reset currentTime and call play , treating a rejected promise as the "blocked" state showing a play button. Now I'm tracing through the revoke-object-URL cleanup effect under StrictMode's double-invoke behavior to make sure the object URL isn't revoked prematurely when video state first becomes null then updates. Working through StrictMode's double effect invocation, the first object URL never lands in state and so never gets revoked — a small dev-only leak since the blob just points to data the cache already retains, which is acceptable since production doesn't double-invoke. Time to apply these fixes to the code. I realized React StrictMode's double-invoke of effects could revoke the object URL while the video still needs it, and driving src from state would restart playback. Instead, I'll create the URL and set src directly inside the effect. ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx bash $ cd ~/touch-grass-agent && pnpm check:fix /tmp/fix.log 2 &1; echo "FIX=$?"; pnpm typecheck /tmp/tc.log 2 &1; echo "TC=$?"; rg -n "error TS|×" /tmp/tc.log | head; rg -o "src/ A-Za-z/. - +: 0-9 +: 0-9 + lint/ a-zA-Z/ +" /tmp/tc.log | sort | uniq The a11y lint wants a captions track, but since the audio is just instrumental music with no spoken content, captions wouldn't add meaning. I think the right approach is to add a biome-ignore comment explaining why captions aren't applicable here rather than adding an empty, meaningless track element. I should also check the canvas element used for the live film — that's not a media element, so it's unaffected. The dependency warning at line 141 looks like it was pre-existing, just shifted down, not something new I introduced. I'll suppress Biome's useMediaCaption rule for this <video element, noting that captions are unnecessary since the film has no spoken dialogue. ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx bash $ cd ~/touch-grass-agent && pnpm check:fix /tmp/fix.log 2 &1; echo "FIX=$?"; pnpm check /tmp/chk.log 2 &1; echo "CHECK=$?"; pnpm typecheck /tmp/tc.log 2 &1; echo "TC=$?"; rg -n "error TS|×" /tmp/tc.log /tmp/chk.log | head; rg -o "src/ A-Za-z/. - +: 0-9 +: 0-9 + lint/ a-zA-Z/ +" /tmp/tc.log | rg -v "Questionnaire|ResultMap" | sort | uniq bash $ cd ~/touch-grass-agent && rg -n "ELIFECYCLE|ERR PNPM|error|Error|exit" /tmp/tc.log | head -20 /tmp/tc.log I'm fixing the nested-ternary lint issue by pulling the canvas width/height calculations into named constants beforehand, so the JSX only references simple variables instead of inline ternaries. Since WalkPreview is touched, I should also clean up its pre-existing lint warnings — adding type="button" to its buttons is cheap and consistent with earlier fixes in ResultCard. The useExhaustiveDependencies warning on the mount effect is intentional there's a comment explaining it plays once per open , so I'll leave that one alone. I'll fix the nested-ternary issue by moving the canvas size calculations into named constants, and add the missing type="button" attributes that Biome flagged on the buttons in this file. ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx bash $ cd ~/touch-grass-agent/apps/web/src/components && perl -0pi -e 's/<button\n \s+ className="preview-icon"\n \s+ onClick=\{\ \ = setMuted/<button\n$1type="button"\n$1className="preview-icon"\n$2onClick={ = setMuted/; s/<button className="preview-icon" onClick=\{onClose\}/<button type="button" className="preview-icon" onClick={onClose}/; s/<button className="preview-play"/<button type="button" className="preview-play"/; s/<button className="secondary"/<button type="button" className="secondary"/g' WalkPreview.tsx && rg -c 'type="button"' WalkPreview.tsx && cd ../../../.. && pnpm check:fix /tmp/fix.log 2 &1; echo "FIX=$?"; pnpm check /tmp/chk.log 2 &1; echo "CHECK=$?"; pnpm typecheck /tmp/tc.log 2 &1; echo "TC=$?"; rg -o "src/ A-Za-z/. - +: 0-9 +: 0-9 + lint/ a-zA-Z/ +" /tmp/tc.log | rg WalkPreview; tail -3 /tmp/tc.log bash $ cd ~/touch-grass-agent && rg -n -A8 "WalkPreview.tsx:237:103|WalkPreview.tsx:143:3" /tmp/tc.log | head -60 The deps warnings on that effect already existed before with input, play, stopRun, and mood; recorded is the new addition, so I should check the effect and its dependency list directly. ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx I'll add a biome-ignore comment for the useExhaustiveDependencies lint rule before the useEffect, since the preview intentionally plays once per open. The autoFocus warning is pre-existing and intentional for dialog focus, so I'll leave that alone to avoid changing behavior. This useExhaustiveDependencies warning is intentional since the effect should only run once per open. I'll add a scoped biome-ignore comment to suppress it while preserving the explanation. ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx bash $ cd ~/touch-grass-agent && pnpm check:fix /tmp/fix.log 2 &1; echo "FIX=$?"; pnpm check /tmp/chk.log 2 &1; echo "CHECK=$?"; pnpm typecheck /tmp/tc.log 2 &1; echo "TC=$?"; rg -o "src/ A-Za-z/. - +: 0-9 +: 0-9 + lint/ a-zA-Z/ +" /tmp/tc.log | rg WalkPreview; tail -3 /tmp/tc.log; pnpm --filter web build /tmp/build.log 2 &1; echo "BUILD=$?" The build finished quickly, around 2.7s. Now I need to take "after" measurements, but first I should check whether the dev server is still running since it likely needs to restart to pick up the changes. All checks pass Biome, typecheck, web build , with only an intentional autoFocus warning remaining. Now I'll confirm the dev server is running the updated code before taking the "after" measurements. bash $ cd ~/.cursor/projects/Users-me-touch-grass-agent/terminals && head -n 8 .txt; curl -s localhost:8787/api/health; echo; curl -s -o /dev/null -w "%{http code}\n" localhost:5173 bash $ cd ~/touch-grass-agent && rg -n "restart|Restarting|error" ~/.cursor/projects/Users-me-touch-grass-agent/terminals/282500.txt | tail -8; cat apps/server/package.json | rg '"dev"' The server reloaded with the new code. Now running the server timing script again: ~/touch-grass-agent/apps/server/timing.tmp.mts /tmp/timing-before.txt Since the recommend script runs fresh in-process each time, I can't really simulate a "picked again after 10 minutes" scenario, but I could add a case for a nearby point in the same city and just run the test as is. bash $ cd ~/touch-grass-agent/apps/server && npx tsx --env-file=.env timing.tmp.mts 2 &1 | rg -v "storage" | tee /tmp/timing-after.txt The first server run failed: one of the condition requests timed out on a cold cache, and the error escaped. I'll check which request it was. The gather-conditions step timed out, likely on the weather or air quality request, so I need to figure out which fetch is hanging and whether that error is silently swallowed by the script instead of surfacing properly. js $ cd ~/touch-grass-agent/apps/server && cat /tmp/probe.mts <<'EOF' const t = async label: string, p: Promise<unknown = { const s = performance.now ; try { await p; console.log label, 'ok', Math.round performance.now -s ; } catch e { console.log label, 'FAIL', Math.round performance.now -s , e as Error .name, e as Error .message ; } }; const { getWeather } = await import '~/touch-grass-agent/apps/server/src/conditions/weather.ts' ; const { getAirQuality } = await import '~/touch-grass-agent/apps/server/src/conditions/airQuality.ts' ; await Promise.all t 'weather', getWeather 37.566, 126.9784 , t 'air', getAirQuality 37.566, 126.9784 ; process.exit 0 ; EOF npx tsx /tmp/probe.mts; rg -n "timeout|TIMEOUT" src/conditions/weather.ts src/conditions/airQuality.ts src/conditions/places.ts src/conditions/route.ts | head -20 Weather and air quality both answer in about 1.2 s now, so the timeout was a short Open-Meteo slowdown past the 8 s limit. Running the timing again: This is likely just transient Open-Meteo slowness again, consistent with the earlier 503s. Since weather and air quality were already failing hard with no caching before my changes, this matches the pre-existing behavior, and stale-if-error only kicks in after a first successful fetch anyway. I'll just rerun. bash $ cd ~/touch-grass-agent/apps/server && npx tsx --env-file=.env timing.tmp.mts 2 &1 | rg -v "storage" | tee /tmp/timing-after.txt That's good progress - the repeated request now returns instantly instead of 7.9s, and re-picking a recent place only triggers the Gemma call rather than all four services. I'm wondering if the pinned-place path could skip Gemma entirely too, though that'd be a product decision rather than a caching fix since the request itself differs each time. I also noticed park features get skipped when no answer arrives within the timeout window. The remaining gaps are fallback-not-cached, the 2-minute bike TTL, and weather's stale-fallback behavior. The ttlFor function isn't exported so testing it in isolation is tricky, but I've already validated its core logic elsewhere. For weather staleness, I can mock Date.now to simulate time passing: trigger a successful fetch, advance the clock past 11 minutes and force a failure to confirm it returns the stale cached value, then advance past 41 minutes to confirm it finally throws. The server cache works—repeat requests now return in 0 ms instead of 7.9 s, and revisiting a recent place skips weather, air quality, Overpass, and routing calls entirely. Next I'll test the stale-weather fallback by simulating a clock jump and network failure. js $ cd ~/touch-grass-agent/apps/server && cat /tmp/stale.mts <<'EOF' const realNow = Date.now; let shift = 0; Date.now = = realNow + shift; const realFetch = globalThis.fetch; let fail = false; let calls = 0; globalThis.fetch = async i: RequestInfo | URL, init?: RequestInit = { calls++; if fail throw new TypeError 'network down' ; return realFetch i, init ; } as typeof fetch; const { getWeather } = await import '~/touch-grass-agent/apps/server/src/conditions/weather.ts' ; const a = await getWeather 37.566, 126.9784 ; console.log 'fresh', a.temperatureC, 'calls', calls ; await getWeather 37.5661, 126.9785 ; console.log 'same grid within ttl, calls', calls ; shift = 11 60e3; fail = true; const b = await Promise.all getWeather 37.566, 126.9784 , getWeather 37.566, 126.9784 ; console.log 'stale served to both', b 0 .temperatureC, b 1 .temperatureC, 'calls', calls ; await getWeather 37.566, 126.9784 .then = console.log 'retry still stale ok, calls', calls ; shift = 45 60e3; await getWeather 37.566, 126.9784 .then = console.log 'UNEXPECTED ok' .catch e = console.log 'past stale window throws:', e.message, 'calls', calls ; fail = false; const c = await getWeather 37.566, 126.9784 ; console.log 'recovers', c.temperatureC, 'calls', calls ; process.exit 0 ; EOF npx tsx /tmp/stale.mts Good, the stale case confirms concurrent callers share a single fetch. Now I want to check browser timing by running the cache-timing script, so let me verify it exists and see what it needs, like whether Chrome needs to be running on a specific port. Confirmed the stale fallback works as expected: concurrent callers during an outage share one retry and get the 10-minute-old forecast, and after the 30-minute window expires the error surfaces before recovery. Next I'll check browser timing for preview and video. bash $ cd /tmp && head -40 cache-timing.mjs; cat /tmp/cache-before.txt The dev server's cache is separate from my script's process, so it's likely still mostly empty since it restarted after the cache.ts change. I'll just run it. bash $ cd /tmp && node cache-timing.mjs after 2 &1 | tee /tmp/cache-after.txt bash $ pkill -f "cache-profile-" ; tail -30 ~/.cursor/projects/Users-me-touch-grass-agent/terminals/282500.txt; sed -n 60,100p /tmp/cache-timing.mjs A cold request timed out again, inside the step that gathers conditions. I'll find which upstream request is slow before blaming network flakiness. I'm seeing another gather-conditions timeout on a cold run, happening twice now. I'm trying to pin down which specific call is responsible—weather/air, nominatim, or route all have their own 8s timeouts, while photos seems unaffected, so I need to trace whether my recent changes to the Overpass timeout logic are the actual culprit. Given the summary mentioned Open-Meteo returning a 503 before, I suspect it's flaky, so I'm planning to add logging for failed fetches in the timing script and test Open-Meteo's response times directly with curl across several calls. bash $ for i in 1 2 3 4; do curl -s -o /dev/null -w "forecast %{http code} %{time total}s\n" "https://api.open-meteo.com/v1/forecast?latitude=37.57&longitude=126.98&current=temperature 2m&hourly=temperature 2m&daily=sunset&timezone=auto"; curl -s -o /dev/null -w "air %{http code} %{time total}s\n" "https://air-quality-api.open-meteo.com/v1/air-quality?latitude=37.57&longitude=126.98&current=pm10,pm2 5"; curl -s -o /dev/null -w "nominatim %{http code} %{time total}s\n" -A touch-grass-agent "https://nominatim.openstreetmap.org/search?q=park&format=jsonv2&limit=5&viewbox=126.95,37.59,127.0,37.54&bounded=1"; curl -s -o /dev/null -w "osrm %{http code} %{time total}s\n" "https://routing.openstreetmap.de/routed-foot/route/v1/foot/126.9784,37.566;126.99,37.57?overview=false"; done Every upstream answers in about 1 s, so this doesn't look like flakiness. I'll read how the gather step waits on park features after my Overpass timeout change. All the individual calls look fast, so the timeout must be coming from somewhere else—maybe my Overpass abort change in features.ts, since the error hit around 10s into a cold run. I want to check recommend.ts to see how features are awaited and whether there are multiple Overpass endpoints with fallback logic. ~/touch-grass-agent/apps/server/src/conditions/features.ts getParkFeatures|cachedFeatures|FEATURES WAIT|Skipping park features|features\. ~/touch-grass-agent/apps/server/src ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/cache.ts The gather step waits on weather, air quality, and the park search, and all three have an 8 s limit. I'll run several cold requests in-process with a fetch logger to find which one hangs. I'm tracing where the TimeoutError originates—likely from the weather/air quality fetch chain, since gather-conditions awaits getWeather, getAirQuality, and findParks, and findParks goes through Nominatim with its own 8s timeout and possibly a rate-limiting queue that could be adding delay. Since the error appeared after "Skipping park features," Nominatim must have already finished, so something downstream like withinWait might not be catching a late rejection properly. I suspect Open-Meteo might be intermittently hanging rather than my cache logic being at fault, so I want to reproduce this by probing getConditions in-process with multiple cold coordinates and logging exactly where failures occur. js $ cd ~/touch-grass-agent/apps/server && cat /tmp/probe2.mts <<'EOF' const realFetch = globalThis.fetch; globalThis.fetch = async input: RequestInfo | URL, init?: RequestInit = { const url = new URL typeof input === 'string' || input instanceof URL ? input : input.url ; const s = performance.now ; try { const r = await realFetch input, init ; return r; } catch e { console.log ' FAIL', url.host + url.pathname.slice 0, 30 , Math.round performance.now - s , e as Error .name ; throw e; } } as typeof fetch; const { getConditions } = await import '~/touch-grass-agent/apps/server/src/recommend.ts' ; const points = 37.566, 126.9784 , 37.55, 126.99 , 37.58, 127.0 , 35.1796, 129.0756 , 37.4979, 127.0276 ; for const lat, lon of points { const s = performance.now ; try { const c = await getConditions { lat, lon }, 60, null ; console.log lat, lon, 'ok', Math.round performance.now - s , c.nearbyParks.length, 'parks' ; } catch e { console.log lat, lon, 'ERR', Math.round performance.now - s , e as Error .message ; } } process.exit 0 ; EOF npx tsx --env-file=.env /tmp/probe2.mts 2 &1 | rg -v storage Five cold requests in a row all succeeded in 3 to 5 s, so the two timeouts were intermittent upstream stalls, not caused by the cache. Running the browser timing again: The failure seems intermittent, possibly tied to the Overpass request failing in the dev server during that first run. I can't easily inspect which fetch fails there, so I'll just retry in the browser and recheck the timing. bash $ cd /tmp && node cache-timing.mjs after 2 &1 | tee /tmp/cache-after.txt; pkill -f "cache-profile-"; true Looking at the timings, reopening cached video dropped from 6.7s to 3ms, and repeating the same city skipped the lookup entirely, going from 10.0s to 0.4s. But picking a recent place again actually took longer at 11.7s versus 5.6s before, which seems tied to Gemma's variance rather than caching. There's a gap though — the reopen test only exercised the cached video, not whether photo images get re-tested when a live film reruns after a page reload clears video memory but leaves the server-side photo search cache intact. I want to check that reload scenario and look at how the photos endpoint is wired up to see if repeated calls return identical URLs. I also need to verify the cached video behaves correctly end-to-end: muting, replaying, saving, and handling blocked autoplay when there's no real user gesture triggering playback. I'll adapt the existing timing script into a new check focused on these video interactions, so let me pull up the rest of that script first. Big performance wins: reopening previews now takes 3ms vs 6.7s via video replay, and repeat city searches take 0.4s vs 10s thanks to caching—only the recent-place pick still waits on Gemma's variable response time. Next I'll check the replayed video's controls and the blocked-autoplay path. /tmp/cache-timing.mjs I'm drafting a video-check script that reuses the existing header with a new test tail allowing autoplay, then walking through the test flow: searching Seoul with a warm cache, opening the preview and waiting for the recording to finish, then closing and reopening to verify the video plays, its currentTime advances, the playing phase hides preview actions, and muting works correctly. Then I plan to seek near the end of the video to confirm the save link produces a valid non-revoked blob with nonzero size, and that clicking Replay resets playback properly. After that I want to check StrictMode behavior in dev, then simulate a page reload to confirm server-side caching for photo search and browser caching for photo images still work when reopening via a recent place, reasoning through which cache keys should match. I'm also considering testing autoplay policy behavior with a second browser instance launched without the autoplay flag to see if headless defaults still allow playback after recording. For testing the blocked autoplay path, I realize the cleanest approach is temporarily overriding HTMLMediaElement's play method to reject once with a NotAllowedError, so I can confirm the fallback "Play with music" button appears, then restore the original method and click it to verify playback resumes normally. bash $ cd /tmp && head -53 cache-timing.mjs video-check.mjs && cat video-check.mjs <<'EOF' const category = url = { if url.includes '/api/trip-photos/' return 'photo image'; if url.includes '/api/trip-photos' return 'photo search'; if url.includes '/api/recommend' return 'recommend'; return null; }; function summary { const groups = {}; for const r of requests.values { const c = category r.url ; if c || r.method === 'OPTIONS' continue; const g = groups c ??= { n: 0, network: 0, cache: 0, ms: 0 } ; g.n++; if r.cached g.cache++; else g.network++; g.ms = Math.max g.ms, r.ms ?? 0 ; } for const c, g of Object.entries groups console.log ${c.padEnd 14 } ${g.n} requests, ${g.network} network, ${g.cache} cache, slowest ${g.ms} ms ; requests = new Map ; } const v = expr = evaluate = { const el = document.querySelector 'video.preview-canvas' ; return ${expr}; } ; await send 'Page.addScriptToEvaluateOnNewDocument', { source: if sessionStorage.getItem 'seeded' { localStorage.setItem 'touch-grass-preferences', ${JSON.stringify JSON.stringify { mode: 'ai' } } ; sessionStorage.setItem 'seeded', '1' ; } } ; await send 'Page.navigate', { url: 'http://localhost:5173' } ; await waitFor document.querySelector '.city-form input' , 20000 ; await click '60 min' ; await evaluate = { const input = document.querySelector '.city-form input' ; Object.getOwnPropertyDescriptor HTMLInputElement.prototype, 'value' .set.call input, 'Seoul' ; input.dispatchEvent new Event 'input', { bubbles: true } ; document.querySelector '.city-form button' .click ; } ; await waitFor document.querySelector '.result h1' ; await sleep 1000 ; await click 'Preview your' ; await waitFor document.querySelector '.preview-actions a download ' , 120000 ; await evaluate document.querySelector ' aria-label="Close preview" ' .click ; await sleep 600 ; await click 'Preview your' ; await sleep 1200 ; const t1 = await v 'el?.currentTime' ; await sleep 800 ; check await v 'el && el.paused && el.currentTime ' + t1 , replayed video plays t ${t1?.toFixed 2 } → ${ await v 'el.currentTime' ?.toFixed 2 } ; check await evaluate document.querySelector '.preview-actions' , 'no end actions while playing' ; await evaluate document.querySelector ' aria-label="Mute music" ' .click ; await sleep 200 ; check await v 'el.muted' , 'mute button mutes the video' ; await evaluate document.querySelector ' aria-label="Mute music" ' .click ; await sleep 200 ; check await v 'el.muted' , 'unmute works' ; await v ' el.currentTime = el.duration - 0.3, true ' ; await waitFor document.querySelector '.preview-actions' , 10000 ; check true, 'end actions appear after the video ends' ; const save = await evaluate async = { const a = document.querySelector '.preview-actions a download ' ; if a return null; const blob = await await fetch a.href .blob ; return { name: a.download, size: blob.size, type: blob.type }; } ; check save && save.size 100000, Save video link works ${JSON.stringify save } ; await click 'Replay' ; await sleep 700 ; check await v 'el && el.paused && el.currentTime < 2' , Replay restarts the video t ${ await v 'el.currentTime' ?.toFixed 2 } ; check await evaluate document.querySelector '.preview-actions' , 'end actions hidden on replay' ; await evaluate document.querySelector ' aria-label="Close preview" ' .click ; await sleep 600 ; await evaluate = { window. realPlay = HTMLMediaElement.prototype.play; HTMLMediaElement.prototype.play = function { return Promise.reject new DOMException 'blocked', 'NotAllowedError' ; }; } ; await click 'Preview your' ; await sleep 800 ; check await evaluate document.querySelector '.preview-play' , 'blocked autoplay shows "Play with music"' ; await evaluate HTMLMediaElement.prototype.play = window. realPlay ; await click 'Play with music' ; await sleep 800 ; check await v 'el && el.paused' && await evaluate document.querySelector '.preview-play' , 'Play with music starts the replay' ; await evaluate document.querySelector ' aria-label="Close preview" ' .click ; await sleep 600 ; await send 'Page.reload' ; await waitFor document.querySelector '.recent-pick' , 20000 ; requests = new Map ; await evaluate document.querySelector '.recent-pick' .click ; await waitFor document.querySelector '.result h1' ; await sleep 1000 ; requests = new Map ; await click 'Preview your' ; const t = Date.now ; await waitFor document.querySelector '.preview-status.shimmer' && document.querySelector '.preview-backdrop' , 60000 ; console.log after reload, preview of a recent place ready in ${Date.now - t} ms ${await evaluate document.querySelector 'video.preview-canvas' ? 'cached video' : 'live film' } ; await sleep 1500 ; summary ; console.log problems.length ? problems: ${JSON.stringify problems.slice 0, 3 } : 'no page errors' ; ws.close ; chrome.kill ; process.exit 0 ; EOF node video-check.mjs 2 &1; pkill -f "cache-profile-"; true Everything checks out after reload — photo search now hits server cache at 9ms, and images load from browser cache instead of the earlier 870ms–5.2s penalty. I'm verifying edge cases: Share correctly uses video.file, cached video keys stay consistent across repeated lookups for the same place, and I'm now checking whether the photo search endpoint's response needs proper cache headers since the JSON itself isn't cached by the browser. All 10 video checks pass with no page errors, and after a reload, the recent place preview loads its photo search from server cache and both photos from browser cache instead of re-downloading 1.4 MB. Now I'll check the README and AGENTS.md against this new behavior. cache|Cache|cached|minutes|min\b|hour|Overpass|timeout|second ~/touch-grass-agent/README.md bash $ cd ~/touch-grass-agent && awk 'NR==18 || NR==64 || NR==65 || NR==66' README.md; sed -n 53,70p README.md | cut -c1-400 I'm extending the Nominatim cache duration from 30 minutes to a full day, and similarly bumping the other cache from 10 minutes to a day-long window. I'm also noting that park features already cache for a day, and adding logic so a slow answer still finishes within 25 seconds to populate the cache for next time, plus making sure closing the preview cancels any pending requests. Now closing the preview shouldn't cancel a shared search, and I'm extending the source URL cache from 30 minutes to 6 hours, adding a 6-hour photo list cache unless a source failed , and browser-caching photos. I want to add replay of recorded video to the WalkPreview bullet and a new "Caching" bullet under weather, then double-check photos.ts for accuracy on things like the 7-second download timeout and how cancellation currently works, where closing the preview stops waiting but lets the search finish for caching purposes. PHOTO CACHE MS|photoSearches|export async function getTripPhotos|export function getTripPhotos|complete|cancel ~/touch-grass-agent/apps/server/src/conditions/photos.ts Now updating the README: the old 30-minute and 10-minute cache claims, the photo cancel behavior, plus a new bullet that describes all the caching. ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md bash $ cd ~/touch-grass-agent && rg -n '^- "Preview your walk"' README.md | cut -c1-80; rg -o 'Preview your walk" \ "Preview your ride".{0,2000}' README.md | rg -o ' ^. save|Save|share ^. \.' | head ~/touch-grass-agent/README.md preview/|conditions/ |Where things are ~/touch-grass-agent/AGENTS.md ~/touch-grass-agent/AGENTS.md ~/touch-grass-agent/AGENTS.md ~/touch-grass-agent/AGENTS.md Now checking what is uncommitted, so each commit only contains the caching work. AGENTS.md showed as modified early on, but that was likely from changes made earlier in the session that got committed already. I should check the current git status to see what's actually uncommitted now. bash $ cd ~/touch-grass-agent && rm -f apps/server/timing.tmp.mts && git status --short && git log --oneline -3 bash $ cd ~/touch-grass-agent && pnpm check /tmp/chk.log 2 &1; echo "CHECK=$?"; pnpm typecheck /tmp/tc.log 2 &1; echo "TC=$?" && git add apps/server && git commit -q -m "update: cache suggestions, weather, and photos" -m "- Add a shared in-memory cache with TTL, in-flight sharing, and stale fallback - Reuse the same suggestion for 10 minutes 2 for bikes, never fallbacks - Share weather and air quality per 1 km for 10 minutes, 30 stale - Keep Nominatim searches and routes for a day - Let slow Overpass answers finish and land in the cache - Keep photo searches 6 hours with stable keys the browser can cache" && git add apps/web && git commit -q -m "update: replay recorded previews and cache cities" -m "- Keep the last 3 recorded preview videos in memory and replay them - Remember typed cities' coordinates until the page closes - Add explicit button types in the preview" && git add README.md AGENTS.md && git commit -q -m "docs: describe caching" -m "- Explain what is cached, for how long, and what is never cached - Correct Nominatim, route, and photo cache times - Point agents to the shared server cache" && git push -q origin main && git log --oneline -4 && git rev-parse HEAD .git/readme-checked && git status --short Caching is in place, and the slow repeat paths are now much faster. Reopening the same preview takes 3 ms instead of 6.7 s, the same request returns in 0 ms instead of 7.9 s, and searching the same city again takes 0.4 s instead of 10 s. Biome, typecheck, and the web build pass, and everything is pushed in three commits 5512232, 550c51f, cbc471f . Before and after measured | Scenario | Before | After | |---|---|---| | Same request again server | 7.9 s | 0 ms | | Same city searched again browser | 10.0 s | 0.4 s | | Preview reopened for the same result | 6.7 s, film drawn again | 3 ms, recorded video | | Preview after a page reload | photo search 3.4 s, photos 1.4 MB | search 9 ms, photos from browser cache 0 bytes | | Recent place picked again server | weather, air quality, Overpass, and Gemma: 9.2 s | Gemma only: 7.2 s | | "Another place" | weather and air quality fetched again | reused | The first-ever request is about the same speed as before, because Gemma takes most of the time. Picking a recent place again still waits for Gemma. In the browser run that took 11.7 s 5.6 s before : the server measurement above shows Gemma was the only remaining call, and Gemma's speed varies a lot between runs. Where caching was added, and how long it lasts All server caches use one shared helper. It shares a single request between callers asking for the same thing at the same time, forgets failures right away so the next call tries again, and drops the least recently used entries when it is full. | What | Where | Lifetime | When it is not reused | |---|---|---|---| | Whole suggestion | Server | 10 min | Bike suggestions: 2 min, because bike counts change. Rule-based fallbacks are not kept, so the next request tries Gemma again. | | Weather, air quality | Server, about 1 km grid | 10 min | If Open-Meteo fails, a reading up to 30 min older is used instead. | | Nominatim searches, routes, park features | Server | 24 h | Expiry only. Overpass can now finish in the background 25 s so a slow answer still gets cached. | | Photo search results | Server | 6 h | Not kept if a photo source failed. | | Photo images | Browser HTTP cache | 6 h | Each photo's address comes from its source URL, so it never changes. | | Typed city coordinates | Browser memory | Until the page closes | A failed lookup is not kept. | | Recorded preview videos | Browser memory, last 3 | Until the page closes | Keyed by result, outfit, and motion setting. | Not cached on purpose: - Bike stations, because the data is realtime. - Map tiles, style, and fonts, because the browser's HTTP cache already handles them I checked their headers . - Recommendations on the client side, because the server cache already covers them. Recent places work with the cache without extra code. A recent place already stores its name, coordinates, and starting point, so picking it needs no new city lookup. Within 10 minutes it gets the cached suggestion; after that it reuses the day-long search, route, and park-feature caches. Changed files - apps/server/src/cache.ts new : the shared cache helper. - conditions/weather.ts , airQuality.ts : 10 min cache with a 30 min stale fallback. - conditions/places.ts , route.ts : Nominatim searches and routes kept for 24 h. - conditions/features.ts : the longer Overpass timeout, so slow answers get cached. - conditions/photos.ts : the 6 h photo search cache and stable photo keys. Closing the preview no longer cancels a search other callers share. - index.ts : photos are sent with browser cache headers. - mastra.ts : the suggestion cache. - geo.ts : the grid key helper used by the caches. - apps/web/src/preview/videoCache.ts new , components/WalkPreview.tsx : replay of recorded videos. - services/location.ts : the city lookup cache. - README.md , AGENTS.md : the caching description, plus corrected cache times Nominatim was listed as 30 min, routes as 10 min . Fixed on my own - Replaced a nested ternary on the video and canvas element with named constants. - Added the missing type="button" to the preview's buttons. - Silenced two lint rules on single lines, each with a written reason. The captions rule doesn't fit: the video's only sound is music, and all text is drawn into the frames. The effect-dependency warning was already there on purpose, because the preview plays once per open. - Tested the video replay end to end, with 10 checks passing: play, mute, ending, Save, Replay, and the blocked-autoplay button. - Tested the weather stale fallback directly with a faked clock and a failing network. Still left - Server caches live in memory, so they reset when the server restarts. A persistent store would need a new dependency, which you asked me not to add. - Recorded videos disappear on reload. Keeping them in IndexedDB would store about 12 MB per video on the user's device; that is a product decision. - Twice, a cold request nothing cached yet failed with an upstream timeout. Five later cold requests all worked, and every upstream answered in about 1 s, so it looks like the external services stalling, not the caching. The stale fallback only helps after one successful fetch. 캐싱을 적용했고, 반복되는 느린 경로가 훨씬 빨라졌습니다. 같은 미리보기를 다시 열면 6.7초 대신 3ms, 같은 요청은 7.9초 대신 0ms, 같은 도시를 다시 검색하면 10초 대신 0.4초가 걸립니다. Biome, typecheck, 웹 빌드가 모두 통과했고, 세 개의 커밋 5512232, 550c51f, cbc471f 으로 push까지 마쳤습니다. 적용 전후 실측 | 상황 | 이전 | 이후 | |---|---|---| | 같은 요청 다시 서버 | 7.9초 | 0ms | | 같은 도시 다시 검색 브라우저 | 10.0초 | 0.4초 | | 같은 결과의 미리보기 다시 열기 | 6.7초, 영상을 다시 그림 | 3ms, 녹화된 영상 | | 페이지 새로고침 후 미리보기 | 사진 검색 3.4초, 사진 1.4MB | 검색 9ms, 사진은 브라우저 캐시 0바이트 | | 최근 장소 다시 선택 서버 | 날씨, 대기질, Overpass, Gemma: 9.2초 | Gemma만: 7.2초 | | "Another place" | 날씨와 대기질을 다시 가져옴 | 재사용 | 맨 처음 요청은 이전과 속도가 비슷합니다. 시간의 대부분을 Gemma가 쓰기 때문입니다. 최근 장소를 다시 선택할 때도 여전히 Gemma를 기다립니다. 브라우저 측정에서는 11.7초 이전 5.6초 가 걸렸는데, 위의 서버 측정에서 남은 호출이 Gemma뿐임을 확인했고, Gemma의 속도는 실행마다 차이가 큽니다. 캐싱 적용 위치와 유효기간 서버 캐시는 모두 공용 도우미 하나를 씁니다. 같은 것을 동시에 요청하는 호출들이 요청 하나를 함께 쓰고, 실패는 바로 잊어서 다음 호출이 다시 시도하며, 가득 차면 가장 오래 쓰지 않은 항목부터 지웁니다. | 대상 | 위치 | 유효기간 | 재사용하지 않는 경우 | |---|---|---|---| | 추천 결과 전체 | 서버 | 10분 | 자전거 추천은 대여 가능 대수가 바뀌므로 2분. 규칙 기반 대체 결과는 저장하지 않아 다음 요청이 Gemma를 다시 시도합니다. | | 날씨, 대기질 | 서버, 약 1km 격자 | 10분 | Open-Meteo가 실패하면 최대 30분 더 지난 값을 대신 씁니다. | | Nominatim 검색, 경로, 공원 시설 | 서버 | 24시간 | 만료될 때만. Overpass는 이제 백그라운드에서 끝날 수 있어서 25초 느린 응답도 캐시에 남습니다. | | 사진 검색 결과 | 서버 | 6시간 | 사진 출처 중 하나라도 실패하면 저장하지 않습니다. | | 사진 이미지 | 브라우저 HTTP 캐시 | 6시간 | 사진 주소가 원본 URL에서 만들어지므로 바뀌지 않습니다. | | 입력한 도시의 좌표 | 브라우저 메모리 | 페이지를 닫을 때까지 | 실패한 조회는 저장하지 않습니다. | | 녹화된 미리보기 영상 | 브라우저 메모리, 최근 3개 | 페이지를 닫을 때까지 | 결과, 옷차림, 모션 설정으로 구분합니다. | 일부러 캐시하지 않은 것: - 따릉이 정류소: 실시간 데이터이기 때문입니다. - 지도 타일, 스타일, 폰트: 브라우저 HTTP 캐시가 이미 처리합니다 헤더를 확인했습니다 . - 클라이언트 쪽 추천 캐시: 서버 캐시가 이미 담당합니다. 최근 장소는 별도 코드 없이 캐시와 연동됩니다. 최근 장소에 이름, 좌표, 출발 지점이 이미 저장되어 있어서 다시 고를 때 도시 조회가 필요 없습니다. 10분 안에는 캐시된 추천을 받고, 그 뒤에는 하루짜리 검색, 경로, 공원 시설 캐시를 재사용합니다. 변경한 파일 - apps/server/src/cache.ts 신규 : 공용 캐시 도우미. - conditions/weather.ts , airQuality.ts : 10분 캐시와 30분 이전 값 대체. - conditions/places.ts , route.ts : Nominatim 검색과 경로를 24시간 보관. - conditions/features.ts : 느린 응답이 캐시에 남도록 Overpass 제한 시간을 늘림. - conditions/photos.ts : 6시간 사진 검색 캐시와 고정 사진 키. 미리보기를 닫아도 다른 호출과 함께 쓰는 검색은 더 이상 취소되지 않습니다. - index.ts : 사진에 브라우저 캐시 헤더를 붙임. - mastra.ts : 추천 캐시. - geo.ts : 캐시에서 쓰는 격자 키 도우미. - apps/web/src/preview/videoCache.ts 신규 , components/WalkPreview.tsx : 녹화된 영상 다시 재생. - services/location.ts : 도시 조회 캐시. - README.md , AGENTS.md : 캐싱 설명 추가, 잘못된 캐시 시간 수정 Nominatim은 30분, 경로는 10분으로 적혀 있었음 . 스스로 고친 것 - 영상/캔버스 요소의 중첩 삼항을 이름 있는 상수로 바꿨습니다. - 미리보기 버튼에 빠져 있던 type="button" 을 넣었습니다. - 린트 규칙 두 개를 한 줄씩만, 이유를 적어서 끄었습니다. 자막 규칙은 맞지 않습니다: 영상의 소리는 음악뿐이고 모든 글자가 화면에 그려져 있습니다. effect 의존성 경고는 원래 있던 것으로, 미리보기를 열 때마다 한 번만 재생하려는 의도입니다. - 영상 다시 재생을 처음부터 끝까지 테스트했고 10개 항목이 모두 통과했습니다: 재생, 음소거, 종료, 저장, 다시 보기, 자동재생 차단 버튼. - 날씨의 이전 값 대체 동작을 가짜 시계와 실패하는 네트워크로 직접 테스트했습니다. 남은 것 - 서버 캐시는 메모리에 있어서 서버를 재시작하면 초기화됩니다. 영구 저장소를 쓰려면 새 의존성이 필요한데, 추가하지 말라고 하셨습니다. - 녹화된 영상은 새로고침하면 사라집니다. IndexedDB에 보관하면 영상 하나당 약 12MB를 사용자 기기에 저장하게 되므로 제품 차원의 결정이 필요합니다. - 캐시가 비어 있는 첫 요청이 외부 서비스 시간 초과로 두 번 실패했습니다. 이후 첫 요청 다섯 번은 모두 성공했고 외부 서비스는 모두 약 1초 안에 응답했으므로, 캐싱 문제가 아니라 외부 서비스가 잠시 멈춘 것으로 보입니다. 이전 값 대체는 한 번이라도 성공한 뒤에만 도움이 됩니다. The UI looks unchanged in the screenshot comparison, which is expected. Now I'm putting together the final bilingual report covering where the caching was applied, the strategy, TTL/invalidation rules, before/after comparisons, and the files changed with reasoning, plus noting what I fixed myself versus what remains open—like the fact that the server cache is in-memory and will reset on restart, a deliberate tradeoff to avoid adding a new dependency. There's also the IndexedDB option I considered but decided against since it's a storage/product tradeoff at ~12MB each, the design choice to re-query Gemma after 10 minutes since weather changes, the intermittent cold-start timeouts from upstream that aren't related to caching, and the pre-existing autoFocus warning. On my own I cleaned up a nested ternary, fixed button types, added reasoning to a lint suppression, and commented an exhaustive-deps issue. I'll write the English version first, then the Korean translation. 캐시 사용전과 캐시 사용 후에 정량적 지표가 필요해 Translation I need numbers from before and after caching. I'll benchmark the code from before caching commit bbfec09 against the current code using the same scenarios, several runs each. Comparing medians and upstream call counts gives numbers that hold up despite Gemma's run-to-run noise. First, the canvas skill for presenting the results and the server and Vite port settings: I need more rigorous metrics than a single noisy run, so I'm thinking about setting up a proper benchmark comparing cache-on vs cache-off across multiple runs. The cleanest approach might be checking out the pre-caching commit in a separate git worktree and running identical benchmarks against both versions for a fair comparison. For the server side, I can run the in-process timing script several times per scenario and report median/p95 latency, external call counts, and bytes transferred. The browser-side metrics video reopen time, photo bytes are trickier since replicating a worktree setup would mean spinning up a second dev server on different ports with its own proxy config, which is heavier than it's worth—maybe just running the client measurements three times each is simpler. Since this is a quantitative analysis, I should present it as a canvas with charts, and maybe also commit a reusable benchmark script to the repo so the results stay reproducible going forward. I'm deciding to keep the benchmark scripts in /tmp for now rather than committing them, since the ask doesn't call for that and I don't want to overreach on scope. The real challenge is that Gemma's variance confounds things, so I want to isolate cleaner signals: end-to-end latency, number of upstream calls which should be deterministic , Gemma call counts specifically, and bytes transferred—with upstream call counts being the most trustworthy metric since they don't depend on model randomness. I'm now sketching out the benchmark plan: run a fresh process per session so caches start cold, then walk through a sequence of scenarios—a cold request, a repeat of the same request, a different place to exclude, a recently-used place picked again, a nearby start point roughly 200m away that lands in the same weather grid to isolate weather cache sharing, and then a concurrent duplicate-request scenario. I'm planning to run 5 sessions per version—before worktree at the old commit and after HEAD —interleaved to reduce drift from upstream server variance like Overpass and Nominatim, estimating about 8 minutes total runtime given Nominatim's rate limits are easily satisfied by our usage. For the worktree setup, I'm working through how to get the old server code running with proper node modules resolution: rather than a full pnpm install in a worktree, I'm considering extracting just the old apps/server/src via git archive into a temporary directory inside the real apps/server folder so it inherits the existing node modules resolution, then deleting it afterward. I'm planning to wrap the global fetch call to instrument it by host and timing, since that's how Gemma/Ollama calls get made, which lets me count things like weather calls, geocoding calls, and Gemma invocations separately. For the concurrency test, I expect the before-version to make three separate Gemma and weather calls for three identical concurrent requests, while the after-version should dedupe down to one. I also want to check the old getTripPhotos signature in case it differs, though the photo scenario is mostly covered by browser-level testing anyway. For the browser benchmark, I'm weighing whether to spin up the old stack on separate ports old server on 8788, old web on 5174 proxying to it using a git worktree, while being careful not to disturb the user's working tree—symlinking the .env file instead of copying it so I don't need to read any secrets directly. I'm planning three runs per version in the browser too, each taking roughly a minute or more, adding up to about ten minutes total. Once I have the raw numbers, I'll compile everything into a canvas with tables and charts showing medians and call counts, saving the raw JSON results as well—so my next step is to check the canvas skill before building that out. ~/.cursor/skills-cursor/canvas/SKILL.md bash $ cd ~/touch-grass-agent && cat apps/web/vite.config.ts; rg -n "PORT|port" apps/server/src/index.ts | head; rg -n "8787|VITE " apps/web/src/services/api.ts apps/web/src -g ' .ts' | head; grep -qE '^MAPILLARY ACCESS TOKEN= REDACTED ' apps/server/.env && echo mapillary set || echo mapillary empty Since the proxy port is hardcoded to 8787, I'll need to tweak the vite config locally in the worktree without committing to point to port 8788 and run on 5174 instead. I'll set up the worktree by detaching to the specific commit and running a frozen install there. I'll build the old commit in a separate git worktree and run it alongside the current version on different ports server 8788, web 5174 , then run identical server and browser scenarios against both in alternating order. bash $ cd ~/touch-grass-agent && git worktree add --detach /tmp/tg-before bbfec09 2 &1 | tail -2 && cd /tmp/tg-before && pnpm install --frozen-lockfile --prefer-offline /tmp/wt-install.log 2 &1; echo "INSTALL=$?"; ln -s ~/touch-grass-agent/apps/server/.env /tmp/tg-before/apps/server/.env && ls /tmp/tg-before/apps/server/src/cache.ts 2 &1 | head -1 Confirming there's no cache.ts in the before version, I'm now designing a server benchmark script that runs in-process so it can test both the running dev server and the not-yet-started old one without needing ports. Each session spawns a fresh process and outputs JSON with timing and call counts per scenario, starting with a cold-cache test case using Seoul city hall as the query. I'm laying out six scenarios covering repeat requests, varied place names, recent place pinning, a nearby shifted coordinate that should still hash to the same weather grid cell, and three concurrent identical requests at a new cold location. I'll use null preferences for realism, confirm the before version's recommend signature matches with byBike already included, and plan to count non-ollama hosts as upstream API calls separately from ollama calls, interleaving before/after runs five times in the background since each session takes roughly 25-60 seconds, writing the script to /tmp with absolute import paths. Now I'll run the server benchmark, launching fresh sessions for six scenarios—cold requests, repeats, nearby starts, and concurrent identical requests—while tracking time, upstream API calls, and Gemma calls. /tmp/bench-server.mts bash $ cd ~/touch-grass-agent/apps/server && : /tmp/bench-server.jsonl && for i in 1 2 3 4 5; do for v in before after; do if $v = before ; then r=/tmp/tg-before; else r=~/touch-grass-agent; fi; npx tsx --env-file=.env /tmp/bench-server.mts $r $v 2 /dev/null | rg '^RESULT ' | sed 's/^RESULT //' /tmp/bench-server.jsonl; echo "run $i $v done: $ wc -l < /tmp/bench-server.jsonl "; done; done I should avoid running the browser benchmark alongside the Gemma timing test since they'd interfere with each other, so I'll do browser testing afterward. In the meantime I can prep the old web stack by updating the tg-before vite config proxy to point to 8788 and drafting a parametrized browser benchmark script, since starting servers now won't disturb anything while idle. For the browser benchmark, I realize server state persisting across runs on the dev server would bias cold-cache scenarios, so each run really needs a fresh server instance. Rather than hacking around restarting the user's tsx watch process, the cleanest fix is spinning up a second worktree at HEAD in /tmp/tg-after with its own ports 8789/5175 , giving both stacks symmetric, independent server states. I'm planning scenarios from fresh profile/server state: cold search, first preview open, reopening a closed preview, reselecting a recent place, re-searching the same city, and reload-then-pick-recent, tracking timing plus network request counts/bytes per category. Each full run with film recording takes a couple minutes, so N=3 per scenario lands around 15 minutes total — manageable while I wait for the concurrent server benchmark to finish so I can prep the driver script and worktree in the meantime. While the server benchmark runs, I'll set up a second worktree for the browser benchmark, since each run needs a fresh server instead of the cached dev server. Both versions will run the same setup: server on its own port with Vite proxying to it. bash $ cd ~/touch-grass-agent && git worktree add --detach /tmp/tg-after cbc471f 2 &1 | tail -1 && cd /tmp/tg-after && pnpm install --frozen-lockfile --prefer-offline /tmp/wt-install2.log 2 &1; echo "INSTALL=$?"; ln -s ~/touch-grass-agent/apps/server/.env /tmp/tg-after/apps/server/.env; for pair in "before 8788 5174" "after 8789 5175"; do set -- $pair; perl -pi -e "s '/api': 'http://localhost:8787' '/api': 'http://localhost:$2' " /tmp/tg-$1/apps/web/vite.config.ts; rg -n "localhost" /tmp/tg-$1/apps/web/vite.config.ts; done zsh doesn't split words the way bash does; doing the two ports explicitly instead: bash $ perl -pi -e "s localhost:8787 localhost:8788 " /tmp/tg-before/apps/web/vite.config.ts && perl -pi -e "s localhost:8787 localhost:8789 " /tmp/tg-after/apps/web/vite.config.ts && rg -n localhost /tmp/tg-before/apps/web/vite.config.ts /tmp/tg-after/apps/web/vite.config.ts; cat ~/.cursor/projects/Users-me-touch-grass-agent/terminals/282501.txt | tail -3 I'll start the two vite servers now since they're idle and harmless, then move on to writing the browser benchmark driver. bash $ cd /tmp/tg-before/apps/web && npx vite --port 5174 --strictPort bash $ cd /tmp/tg-after/apps/web && npx vite --port 5175 --strictPort I should write a browser benchmark driver adapted from cache-timing.mjs, making it parametrized with JSON output and having it spawn a fresh server for each run. I'm building the browser benchmark driver, which will spin up a fresh server and Chrome profile per version and measure timing, network requests, and bytes across six scenarios city search, first preview, reopened preview, repeated recent pick, repeated city search, and preview after reload . /tmp/bench-browser.mjs The network preview after reload includes photo bytes and map tiles pulled from browser cache, which is fine. Now I'm waiting on the server benchmark and checking progress. bash $ tail -12 ~/.cursor/projects/Users-me-touch-grass-agent/terminals/282501.txt; wc -l /tmp/bench-server.jsonl Server benchmark done 5 sessions per version . Starting the browser benchmark 3 runs per version, alternating , and summarizing the server numbers while it runs: bash $ cd /tmp && : /tmp/bench-browser.jsonl && for i in 1 2 3; do node bench-browser.mjs before /tmp/tg-before 8788 5174 /tmp/bench-browser.jsonl; echo "run $i before: $ tail -c 120 /tmp/bench-browser.jsonl "; node bench-browser.mjs after /tmp/tg-after 8789 5175 /tmp/bench-browser.jsonl; echo "run $i after: $ tail -c 120 /tmp/bench-browser.jsonl "; done; pkill -f bench-profile-; true js $ cd /tmp && node -e ' const rows = require "fs" .readFileSync "/tmp/bench-server.jsonl","utf8" .trim .split "\n" .map JSON.parse ; const med = a = { const s= ...a .sort x,y = x-y ; const m=s.length 1; return s.length%2?s m : s m-1 +s m /2; }; const names = "cold","repeat","another","recent","nearby","concurrent3" ; for const n of names for const v of "before","after" { const r = rows.filter x= x.label===v .map x= x.results n .filter Boolean ; console.log n.padEnd 12 , v.padEnd 7 , "n="+r.length, "ok="+r.filter x= x.ok .length, "ms med="+med r.map x= x.ms , "min="+Math.min ...r.map x= x.ms , "max="+Math.max ...r.map x= x.ms , "upstream med="+med r.map x= x.upstream , "gemma med="+med r.map x= x.gemma , "all ms="+r.map x= x.ms .join "," ; }' I'm puzzling over that one extra call showing up after the cold run — trying to figure out if it's the route lookup for the pinned place or an Overpass features call that wasn't actually cached as expected. Looking at the "another" scenario, I notice three upstream calls still fire Nominatim for the new search, OSRM, Overpass while weather and air quality get reused, cutting it down from five calls before. I'm also realizing latency barely shifts across cold/recent/nearby scenarios because Gemma's ~7-9s response time dominates everything else, so the upstream savings like skipping weather only shave off a second or so and get lost in the noise — I'd need to separate out per-scenario upstream wait time from Gemma's generation time to really show the improvement, but that data wasn't captured in this run. Rather than rerunning the full 12-minute benchmark, I think a faster microbenchmark that isolates just the data-fetching phase skipping Gemma entirely across cold/repeat/nearby/recent scenarios would cleanly show the caching effect — I'll run that after the browser benchmark finishes to avoid network contention, which means waiting out the remaining ~15 minutes of browser runs first. Server results show the biggest wins from caching: identical requests drop from 10.5s to 0ms, and simultaneous duplicates go from 22.8s to 12.1s since Gemma is called once instead of three times—though elsewhere total time barely changes since Gemma's 7-9s dominates. Next I'll measure the data-gathering step alone after browser runs finish, to isolate caching's benefit outside Gemma's processing time. bash $ cd /tmp && rg -c RESULT bench-browser.jsonl; rg FAILED bench-browser.jsonl; node -e ' const rows = require "fs" .readFileSync "/tmp/bench-browser.jsonl","utf8" .trim .split "\n" .filter l= l.startsWith "RESULT " .map l= JSON.parse l.slice 7 ; const med = a = { const s= ...a .sort x,y = x-y ; const m=s.length 1; return s.length%2?s m : s m-1 +s m /2; }; for const n of "searchCity","previewFirst","previewReopen","recentPlace","sameCity","previewAfterReload" for const v of "before","after" { const r = rows.filter x= x.label===v .map x= x.results n ; const keys = ...new Set r.flatMap x= Object.keys x.net??{} ; console.log n.padEnd 18 , v.padEnd 6 , "ms="+r.map x= x.ms .join "," , "med="+med r.map x= x.ms , n==="previewFirst"?"video="+r.map x= x.untilVideoMs .join "," :"", n==="previewReopen"?"replayed="+r.map x= x.replayed .join "," :"", keys.map k= k+"="+med r.map x= x.net k ??0 .join " " ; } console.log "errors", rows.map r= r.label+":"+r.errors .join " " ;' Interesting — reducing photo bytes from 440KB to 3KB didn't actually speed up the preview-ready time, since readiness is gated by map tile warmup up to 12s rather than photo loading, so the photo optimization savings get masked. Still, recentPlace shows real gains: median time drops from 10.8 to 8.1s with requests falling from 6 to 2. I should set up a microbenchmark script for getConditions covering cold, repeat, nearby, another, and recent scenarios, running 5 sessions each interleaved and recording latency, upstream call count, and upstream hosts. No page errors across all six browser runs, and reopening a preview sped up from 5.5s to 4ms, the same city from 10.3s to 0.1s, and a recent place from 10.8s to 8.1s. Next I'll measure just the data-gathering step, excluding Gemma. /tmp/bench-conditions.mts bash $ cd ~/touch-grass-agent && sed -n '/^export async function getConditions/,/^ : Promise<Conditions /p' /tmp/tg-before/apps/server/src/recommend.ts; rg -n "interface PlaceSearch" -A8 /tmp/tg-before/apps/server/src/ .ts | head -12 bash $ cd ~/touch-grass-agent/apps/server && : /tmp/bench-conditions.jsonl && for i in 1 2 3 4 5; do npx tsx --env-file=.env /tmp/bench-conditions.mts /tmp/tg-before before 2 /dev/null | rg '^RESULT ' | sed 's/^RESULT //' /tmp/bench-conditions.jsonl; npx tsx --env-file=.env /tmp/bench-conditions.mts ~/touch-grass-agent after 2 /dev/null | rg '^RESULT ' | sed 's/^RESULT //' /tmp/bench-conditions.jsonl; done; wc -l < /tmp/bench-conditions.jsonl; node -e ' const rows = require "fs" .readFileSync "/tmp/bench-conditions.jsonl","utf8" .trim .split "\n" .map JSON.parse ; const med = a = { const s= ...a .sort x,y = x-y ; const m=s.length 1; return s.length%2?s m : s m-1 +s m /2; }; for const n of "cold","repeat","another","recent","nearby" for const v of "before","after" { const r = rows.filter x= x.label===v .map x= x.results n .filter Boolean ; const hostCount = {}; for const x of r for const h of x.hosts hostCount h = hostCount h ??0 +1; console.log n.padEnd 8 , v.padEnd 6 , "ok="+r.filter x= x.ok .length+"/"+r.length, "ms="+r.map x= x.ms .join "," , "med="+med r.map x= x.ms , "upstream med="+med r.map x= x.upstream , JSON.stringify Object.fromEntries Object.entries hostCount .map k,c = k,c/r.length ; }' That's odd — the "repeat" run shows no Nominatim/OSRM activity because those already had caching from before, while features cache for a full day. The 0.6s Overpass time per run suggests that when Overpass fails cold timeout or 429 , it isn't cached and gets retried, so the 3s wait on "repeat" and "after recent" likely comes from that earlier Overpass failure triggering a retry. This could point to rate limiting since I'm hammering Overpass with benchmarks, and the "before" version shows the same pattern, so it's probably not a regression but noise from Overpass itself. I'm wondering if a short-term negative cache for failed Overpass calls would help, though it changes behavior from null to empty results, which needs more thought. Adding a brief failure cache around 1 minute would prevent repeated 3-second waits during outages without changing product logic, since the null-features path already exists when Overpass is unavailable. I should check if failures are actually 429s or timeouts by probing Overpass directly first. Overpass request failures trigger retries with another 3s wait, which happens in both versions and masks part of the cache's actual gain. I'll dig into why Overpass is failing. bash $ for i in 1 2 3; do curl -s -o /tmp/op.txt -w "overpass %{http code} %{time total}s\n" -A touch-grass-agent/0.1 --data-urlencode 'data= out:json timeout:25 ;nwr around:150,37.5711,126.9882 leisure ;out tags;' https://overpass-api.de/api/interpreter; head -c 200 /tmp/op.txt | tr '\n' ' '; echo; done; curl -s https://overpass-api.de/api/status The connection refused error with a fast 0.6s failure suggests Overpass is rate-limiting us rather than being slow, so the 3s waits must be happening on requests that are actually in-flight and slow, not ones rejected outright. This is likely transient noise caused by my own benchmarking load, and I should note it as a confounding factor in the report rather than dig deeper. If Overpass is refusing connections, the user's app might temporarily lose some features too, worth mentioning. Now I should clean up — kill the background vite processes and remove the worktrees before putting together the final canvas. Overpass is refusing connections, likely a temporary block from the benchmark's request volume—since refusals fail fast ~0.6s with no extra wait, I won't add a failure cache for it. Now cleaning up the temporary worktrees and servers. bash $ pkill -f "vite --port 517 45 "; pkill -f bench-profile-; sleep 1; cd ~/touch-grass-agent && git worktree remove --force /tmp/tg-before && git worktree remove --force /tmp/tg-after && git worktree prune && git worktree list && git status --short; lsof -iTCP:8788 -iTCP:8789 -iTCP:5174 -iTCP:5175 -sTCP:LISTEN | head -3; curl -s localhost:8787/api/health Cleanup done: the main dev server is untouched and the git tree is clean. Next I'll lay out the results in a canvas, starting with the SDK's available components. Now I need to build the canvas, so I'm checking the SDK's type definitions to see what components are available. bash $ ls ~/.cursor/skills-cursor/canvas/sdk/; ls ~/.cursor/projects/Users-me-touch-grass-agent/canvases/ 2 /dev/null ~/.cursor/skills-cursor/canvas/sdk/index.d.ts ~/.cursor/skills-cursor/canvas/sdk/chart-primitives.d.ts ~/.cursor/skills-cursor/canvas/sdk/ui-primitives.d.ts I'm thinking about language for the canvas—since the user writes in Korean but bilingual answers are expected, I could add a toggle for English/Korean with a simple strings dictionary, though that doubles the text. I'll keep it moderate, with headings and captions available in both languages via that toggle. Now I'm organizing all the measured data to embed—server end-to-end timings, data-gathering durations, and browser-side metrics across scenarios like cold start, repeat visits, nearby searches, and concurrent requests, including request counts and payload sizes. I want to compile these into a session journey total that traces a realistic user flow from search through preview, being careful to report the noisy Overpass retry numbers honestly rather than smoothing them over. I'm calculating the aggregate before/after improvements: roughly 33% less total waiting time across the journey, a modest drop in network KB dominated by map tile bytes, fewer total requests, and meaningful reductions in both Gemma model calls 8→5 and upstream API calls 28→17, about 39% fewer . I'm noting the methodology details—commit comparison, session counts, headless Chrome setup, local Gemma 3 4B—plus caveats about Gemma's variable latency, unchanged cold paths, and the Overpass rate-limiting that skewed one recent-data median. For presentation I'm planning grouped bar charts comparing before/after browser times in seconds, plus charts for upstream and Gemma call counts, alongside header stats highlighting the biggest wins like reopen preview dropping from 5.5s to near-instant. I'm deciding to use neutral and success tones for before/after styling, and now I'm setting up a language toggle with English/Korean strings via a simple translation helper function. ~/.cursor/projects/Users-me-touch-grass-agent/canvases/cache-benchmark.canvas.tsx I have quantitative before/after numbers. Over a six-step user flow search, preview, reopen, recent place, same city, reload , total waiting dropped from 58.8 s to 39.2 s −33% . Per server session, upstream API calls fell from 28 to 17 −39% and Gemma calls from 8 to 5 . The full tables and charts are in Cache benchmark %7E/.cursor/projects/Users-me-touch-grass-agent/canvases/cache-benchmark.canvas.tsx . A canvas is an interactive report you can open beside the chat; I used one because this is a set of numbers and charts you may want to revisit, and it switches between Korean and English. How I measured. I ran the same scenarios, alternating, on the code before caching bbfec09 and the code after cbc471f . Each version ran from a temporary worktree, which I deleted afterwards. The numbers are medians: - Server: 5 sessions per version, each a fresh process with empty caches. - Browser: 3 runs per version, each with a fresh server and a fresh headless Chrome profile. - Data gathering: the step before Gemma, measured on its own, 5 runs per version. Main results | Scenario | Before | After | Network or calls | |---|---|---|---| | Reopen the same preview | 5.5 s | 4 ms | 3 requests, 438 KB → 0 | | Search the same city again | 10.3 s | 0.1 s | city lookup 1 → 0 | | Pick a recent place again browser | 10.8 s | 8.1 s | requests 6 → 2 | | Same request again server | 10.5 s | 0 ms | upstream 2 → 0, Gemma 1 → 0 | | 3 identical requests at once server | 22.8 s | 12.1 s | upstream 9 → 5, Gemma 3 → 1 | | "Another place", data gathering only | 3.0 s | 1.4 s | upstream 5 → 3 | | Start about 300 m away, data gathering only | 3.0 s | 1.2 s | upstream 5 → 3 | Where nothing changed, and why - First request and first preview: there is nothing cached yet, so before and after are the same, as expected. Gemma takes most of each request 7 to 12 s , so total time only drops sharply when Gemma is skipped. - Preview after a page reload: photo downloads dropped from 440 KB to 3 KB, but the ready time stayed about the same 5.2 s → 5.6 s . The 3D map tile warm-up decides that time, not the photos. - "Recent place" in data gathering: the median got worse 0.6 s → 1.4 s , even though upstream calls fell from 3 to 1. Overpass rate-limited the benchmark's requests, which added 3 s waits in some runs. It was still refusing connections right after the benchmark, so park features may be missing from suggestions for a while. No code changed in this turn. The benchmark scripts are in /tmp bench-server.mts , bench-browser.mjs , bench-conditions.mts and are not in the repository. 캐시 전후의 정량적 수치를 측정했습니다. 6단계 사용자 흐름 검색, 미리보기, 다시 열기, 최근 장소, 같은 도시, 새로고침 의 총 대기 시간이 58.8초에서 39.2초로 33% 줄었습니다 . 서버 세션 1회당 외부 API 호출은 28회에서 17회로 −39% , Gemma 호출은 8회에서 5회로 줄었습니다. 전체 표와 차트는 캐시 벤치마크 %7E/.cursor/projects/Users-me-touch-grass-agent/canvases/cache-benchmark.canvas.tsx 에 있습니다. 캔버스는 채팅 옆에 열어 볼 수 있는 대화형 보고서이며, 다시 볼 수 있는 수치와 차트 모음이라서 캔버스를 썼습니다. 한국어와 영어로 전환할 수 있습니다. 측정 방법. 같은 시나리오를 캐시 전 코드 bbfec09 와 캐시 후 코드 cbc471f 에서 번갈아 실행했습니다. 각 버전은 임시 worktree에서 실행했고, 측정 후 삭제했습니다. 수치는 중앙값입니다: - 서버: 버전마다 5회, 매번 캐시가 빈 새 프로세스. - 브라우저: 버전마다 3회, 매번 새 서버와 새 헤드리스 Chrome 프로필. - 데이터 수집: Gemma 이전 단계만 따로, 버전마다 5회. 주요 결과 | 시나리오 | 전 | 후 | 네트워크 또는 호출 | |---|---|---|---| | 같은 미리보기 다시 열기 | 5.5초 | 4ms | 요청 3개, 438KB → 0 | | 같은 도시 다시 검색 | 10.3초 | 0.1초 | 도시 조회 1 → 0 | | 최근 장소 다시 선택 브라우저 | 10.8초 | 8.1초 | 요청 6 → 2 | | 같은 요청 반복 서버 | 10.5초 | 0ms | 외부 호출 2 → 0, Gemma 1 → 0 | | 같은 요청 3개 동시 서버 | 22.8초 | 12.1초 | 외부 호출 9 → 5, Gemma 3 → 1 | | "다른 장소", 데이터 수집만 | 3.0초 | 1.4초 | 외부 호출 5 → 3 | | 약 300m 떨어진 출발점, 데이터 수집만 | 3.0초 | 1.2초 | 외부 호출 5 → 3 | 변화가 없었던 부분과 이유 - 첫 요청과 미리보기 첫 열기: 아직 캐시된 것이 없어서 전후가 같으며, 예상한 결과입니다. 요청 시간의 대부분 7~12초 이 Gemma라서 Gemma를 건너뛸 때만 전체 시간이 크게 줄어듭니다. - 새로고침 후 미리보기: 사진 다운로드는 440KB에서 3KB로 줄었지만, 준비 시간은 거의 같습니다 5.2초 → 5.6초 . 이 시간은 사진이 아니라 3D 지도 타일 준비가 결정합니다. - 데이터 수집의 "최근 장소": 외부 호출은 3회에서 1회로 줄었지만, 중앙값은 오히려 늘었습니다 0.6초 → 1.4초 . 벤치마크 요청을 Overpass가 제한해서 일부 실행에 3초 대기가 생겼기 때문입니다. 측정 직후에도 Overpass가 연결을 거부하고 있었으므로, 당분간 추천에서 공원 시설 정보가 빠질 수 있습니다. 이번 작업에서 코드는 바꾸지 않았습니다. 벤치마크 스크립트는 /tmp bench-server.mts , bench-browser.mjs , bench-conditions.mts 에 있고, 저장소에는 넣지 않았습니다. Checking the layout holds up well with stats at the top and a grid mixing a table and chart for variety. I'll write a concise bilingual answer with the canvas link, note this is the first canvas since that directory was empty, highlight the key numbers, and mention briefly that the scripts live in /tmp and could be added to the repo if wanted. The agent wrote a rule into AGENTS.md : after every change, verify it, read the results critically, and fix what's wrong, for up to 3 rounds. It asks first only about product decisions, new services, or destructive steps. Its first catch was Gemma picking a park that matched none of my questionnaire answers while another candidate did. The server now switches to the matching park. Commits: 07a2a72 https://github.com/scs0209/touch-grass-agent/commit/07a2a72 "close gaps before reporting", 2bd7121 https://github.com/scs0209/touch-grass-agent/commit/2bd7121 "switch to a park that matches the quiz answers" 빈틈이 있는 경우 수정해줘 이걸 너가 알아서 진행할 수 있도록 rule이나 loop로 지정해줘 Translation When you find gaps, fix them yourself. Make it a rule or a loop so you do it on your own. Two things to do: fix the gap where Gemma ignores a clear preference match, and add a rule so I close gaps like this on my own in future sessions. Reading the rule-creation skill first. I need to address two things: fixing the gap where the server overrides when Gemma misses an obvious preference match like kids wanting a playground or exercise needing a sports park, and setting up an agent rule so that after finishing a task, it automatically fixes identified gaps within scope, verifies, and commits without asking—only pausing to ask when a genuine product decision is needed. For the fix itself, I'm narrowing the override condition: only switch parks when the chosen park has zero wanted features and another park clearly has at least one matching feature, and only when the park features are actually known rather than null. I'll skip the override entirely when station/bike trips are involved, since those parks work differently. If the override triggers, I'll rewrite the activity line to walk to the better park, then regenerate thingsToDo from fallback ideas based on that park's features so things like the playground actually get mentioned, rather than leaving stale ideas filtered from the old park. I should factor the scoring logic into its own helper function for clarity. I need to make sure the activity fallback condition accounts for matchingPark overriding the original park, and that betterMatch only suggests a swap when the original park truly scores zero against preferences while another option scores higher. I'm also reordering the fallback features list so preferred ones appear first, and sketching a rule file for closing gaps after finishing a task. The rule covers autonomous fixing within scope, verifiable loops capped at three rounds, exceptions requiring explicit confirmation product decisions, costs, destructive actions, security , committing fixes separately, and not overriding the user's stated choices. I still want to skim the create-rule skill before finalizing it. ~/.cursor/skills-cursor/create-rule/SKILL.md A rule fits better than /loop here. /loop reruns a prompt on a timer, while this is a habit that should apply at the end of every task. Fixing the gap first, in sanitize . A rule that always applies fits better here than an interval-based recurring prompt, so I'll scope it as always-apply and implement that fix. ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts I'm checking the ordering of these declarations since function hoisting and module-level const initialization should make the call-time references work fine. Let me go ahead and test it. bash $ cd ~/touch-grass-agent && pnpm -r exec tsc --noEmit 2 &1 | tail -10; cd apps/server && cat /tmp/match-check.mts <<'EOF' import { sanitize } from '~/touch-grass-agent/apps/server/src/recommend.ts'; const base: any = { nearbyParks: { id: 'P1', name: 'Play Park', features: 'playground', 'benches' }, { id: 'P2', name: 'Quiet Park', features: 'toilets' }, { id: 'P3', name: 'Unknown Park', features: null }, , nearbyBikeStations: { id: 'B1', name: 'Station', bikesAvailable: 3, distanceMeters: 100 } , availableMinutes: 60, baselineOutfit: {}, weather: { temperatureC: 19, description: 'clear sky', minutesUntilSunset: 300, sunset: '2026-10-06T18:08' }, airQuality: { level: 'fair' }, }; const run = label: string, prefs: any, model: any = { const r = sanitize { verdict: 'go', durationMin: 40, reason: 'It is 19°C.', bikeStationId: null, thingsToDo: 'Admire the greenery' , ...model }, { ...base, preferences: prefs && { interests: , ...prefs } } ; console.log label, '→', r.activity, '|', r.placeId, '|', JSON.stringify r.thingsToDo ; }; run 'kids, model picks no-match park', { company: 'kids' }, { activity: 'Visit Quiet Park', placeId: 'P2' } ; run 'kids, model picks playground park', { company: 'kids' }, { activity: 'Visit Play Park', placeId: 'P1' } ; run 'kids, model picks unknown park', { company: 'kids' }, { activity: 'Visit Unknown Park', placeId: 'P3' } ; run 'AI decides, no-match park', null, { activity: 'Visit Quiet Park', placeId: 'P2' } ; run 'exercise, nothing matches', { interests: 'exercise' }, { activity: 'Visit Quiet Park', placeId: 'P2' } ; run 'kids, bike trip', { company: 'kids', cycling: true }, { activity: 'Grab a bike and ride', placeId: 'P2', bikeStationId: 'B1' } ; EOF npx tsx /tmp/match-check.mts; rm /tmp/match-check.mts That checks out. The actual request is the earlier case—easy, quiet, greenery, kids, walking—so I need to use the cached features, but since the server reloaded, the cache got cleared, so I should warm it up again. All six test cases pass as expected, correctly switching parks only when Gemma's choice is known to mismatch and an alternative with a playground exists. Now I'll run the actual request that originally revealed the gap. bash $ cd ~/touch-grass-agent && req { curl -s -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":37.566,\"lon\":126.9784,\"availableMinutes\":60,\"preferences\":$2}" | node -e 'let s="";process.stdin.on "data",d= s+=d .on "end", = {const r=JSON.parse s ;console.log process.argv 1 ,"→",JSON.stringify {activity:r.recommendation.activity,thingsToDo:r.recommendation.thingsToDo} } ' "$1"; }; K='{"pace":"easy","interests": "quiet","greenery" ,"company":"kids","cycling":false}'; req warmup null /dev/null; for i in 1 2 3; do req "easy+quiet, kids $i" "$K"; done I notice a gap: the "easy pace" thingsToDo list includes something like "jog one easy lap," which doesn't match a quiet, easy-pace outing. The fallback ideas also ignore pace entirely. I should write a new rule excluding exercise-type activities—running tracks, outdoor gyms, sports fields—whenever the pace is easy. Actually, watching a game at the sports field is passive enough to keep; I'll only exclude running track and outdoor gym specifically, defining those as effort-based features to filter out unless the user's interests include exercise. Kids-focused ordering with playground first still works fine. I'll write this rule and commit it separately. All three requests now resolve to 손기정체육공원, with Gemma choosing it independently in two cases. I also spotted that the rule-based ideas still suggest "Jog one easy lap of the track" even when "Easy and relaxed" is selected, so I'll fix those ideas to respect the chosen pace too. ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts I'm checking whether EXERCISE FEATURES being defined after its usage point causes a declaration-order issue, but since it's only referenced at call time rather than top-level, it should be fine. Let me test it to confirm. bash $ cd ~/touch-grass-agent && pnpm -r exec tsc --noEmit 2 &1 | tail -10; cd apps/server && cat /tmp/pace-check.mts <<'EOF' import { sanitize } from '~/touch-grass-agent/apps/server/src/recommend.ts'; const base: any = { nearbyParks: { id: 'P1', name: 'Sports Park', features: 'playground', 'sports field', 'running track', 'outdoor gym' } , nearbyBikeStations: , availableMinutes: 60, baselineOutfit: {}, weather: { temperatureC: 19, description: 'clear sky', minutesUntilSunset: 300, sunset: '2026-10-06T18:08' }, airQuality: { level: 'fair' }, }; const run = label: string, prefs: any = { const r = sanitize { verdict: 'go', activity: 'Visit Sports Park', durationMin: 40, reason: 'It is 19°C.', placeId: 'P1', bikeStationId: null }, { ...base, preferences: prefs && { interests: , ...prefs } } ; console.log label, '→', JSON.stringify r.thingsToDo ; }; run 'easy, kids', { pace: 'easy', company: 'kids' } ; run 'easy + exercise', { pace: 'easy', interests: 'exercise' } ; run 'workout', { pace: 'workout' } ; run 'AI decides', null ; EOF npx tsx /tmp/pace-check.mts; rm /tmp/pace-check.mts The ideas now follow the pace: the easy pace gets no jogging or gym sets, and exercise or workout answers keep them. Committing this fix, then writing the rule. That looks good, so I'll commit the fix and move on to the next rule. bash $ cd ~/touch-grass-agent && git add apps/server/src/recommend.ts && git commit -q -m "fix: switch to a park that matches the quiz answers" -m "- Replace the model's park when it is known to match none of the answers - Use the new park's own features for things to do - List matching features first and skip workouts for an easy pace" && git log --oneline -1 ~/touch-grass-agent/.cursor/rules/close-gaps.mdc Checking myself against the rule now: no gaps found in the betterMatch or company dog cases since neither has wanted features triggering an override. I should also update the README to clarify that when Gemma picks a park, the fallback ranking logic still applies consistently. The README's description of the fallback ranking parks by features is now outdated, so I'll update it and then commit and push the change. ~/touch-grass-agent/README.md bash $ cd ~/touch-grass-agent && git add README.md && git commit -q -m "docs: explain the park switch for quiz answers" -m "- Note that the server replaces a park that matches none of the answers" && git add .cursor/rules/close-gaps.mdc && git commit -q -m "chore: close gaps before reporting" -m "- Add a rule to verify, find, and fix gaps in a loop of up to 3 rounds - Ask first only for product decisions, new services, or destructive steps" && git push 2 &1 | tail -3 && git log --oneline -3 I fixed the gap, and added a rule so the agent finds and fixes gaps like this on its own. Everything is pushed in three commits, along with this conversation's checkpoints. The fix 2bd7121 - Switching parks. Sometimes Gemma picks a park known to have none of the features your answers point to, while another park does. In that case the server switches to the matching park. For example, with "With kids" it now goes to the park with a playground. - When it doesn't step in. If Gemma's pick already matches, if its features are unknown, if you let the AI decide, if no park matches, or on a bike trip, the server leaves Gemma's choice alone. - Things to do after a switch. The new park gets ideas from its own features, with matching ones first, such as "Give the swings at the playground a try". - A second gap the new loop caught. With "Easy and relaxed", the rule-based ideas still suggested "Jog one easy lap of the track". Now they leave out jogging and gym sets for an easy pace, unless you also picked Exercise. Verification - Typecheck passed. - I tested 10 cases directly, and all behaved as intended. - I reran the real request that showed the gap three times easy, quiet and greenery, with kids . All three went to 손기정체육공원, which has a playground. One was the server's switch; in the other two, Gemma chose it by itself. The rule .cursor/rules/close-gaps.mdc , always applied - Loop: after each change, the agent verifies it with a typecheck, direct tests of the changed function, and real requests to the server. It then checks critically whether each result fits the inputs and your choices. Any gap it can fix, it fixes, verifies, and commits separately. It repeats up to 3 rounds. - Fixes on its own: gaps within the current request that it can verify and that don't need a product decision. - Asks you first: for product changes you haven't chosen, new external services or costs, new data leaving the machine, and destructive or secret-related steps. - Reports: the final answer lists what it fixed on its own and what is left, with the reason. I chose a rule over /loop because /loop reruns a prompt on a timer, while this needs to happen at the end of every task. 빈틈을 고쳤고, 에이전트가 이런 빈틈을 스스로 찾아서 고치도록 규칙도 추가했습니다. 모두 커밋 3개로 push했고, 이번 대화의 체크포인트도 함께 올라갔습니다. 수정 내용 2bd7121 - 공원 바꾸기. Gemma가 답이 가리키는 시설이 하나도 없다고 확인된 공원을 고르고 다른 공원에는 그런 시설이 있으면, 서버가 맞는 공원으로 바꿉니다. 예를 들어 "아이와 함께"를 고르면 이제 놀이터가 있는 공원으로 갑니다. - 개입하지 않는 경우. Gemma가 고른 공원이 이미 맞거나, 그 공원의 시설을 모르거나, AI에게 맡겼거나, 맞는 공원이 없거나, 자전거 추천일 때는 Gemma의 선택을 그대로 둡니다. - 바꾼 뒤의 할 일. 새 공원에 실제로 있는 시설로 할 일을 만들고, 답과 맞는 것을 먼저 보여줍니다. 예: "Give the swings at the playground a try". - 새 루프로 찾은 두 번째 빈틈. "느긋하게"를 골랐는데도 규칙 기반 할 일에 "Jog one easy lap of the track"이 나왔습니다. 이제 느긋한 속도에서는 조깅과 운동기구 항목을 뺍니다. 운동을 함께 골랐으면 그대로 둡니다. 검증 - 타입체크를 통과했습니다. - 10가지 경우를 직접 테스트했고, 모두 의도대로 동작했습니다. - 빈틈이 드러났던 실제 요청 느긋하게, 조용한 곳과 초록, 아이와 함께 을 세 번 다시 보냈습니다. 세 번 모두 놀이터가 있는 손기정체육공원으로 갔습니다. 한 번은 서버가 바꾼 것이고, 나머지 두 번은 Gemma가 스스로 골랐습니다. 규칙 .cursor/rules/close-gaps.mdc , 항상 적용 - 루프: 변경할 때마다 타입체크, 바뀐 함수 직접 테스트, 서버에 실제 요청으로 검증합니다. 그다음 각 결과가 입력과 사용자의 선택에 맞는지 비판적으로 확인합니다. 고칠 수 있는 빈틈은 고치고, 검증하고, 따로 커밋합니다. 최대 3번까지 반복합니다. - 스스로 고치는 경우: 현재 요청 범위 안에 있고, 검증할 수 있고, 제품 결정이 필요 없는 빈틈입니다. - 먼저 묻는 경우: 사용자가 정하지 않은 제품 변경, 새로운 외부 서비스나 비용, 컴퓨터 밖으로 나가는 새 데이터, 파괴적인 작업이나 비밀 정보와 관련된 작업입니다. - 보고: 마지막 답변에 스스로 고친 것과 남은 것을, 남긴 이유와 함께 적습니다. /loop 가 아니라 규칙을 택한 이유는 이렇습니다. /loop 는 정해진 간격으로 프롬프트를 다시 실행하는 기능이고, 이 작업은 매번 작업이 끝날 때 해야 하기 때문입니다. While re-capturing the trace, the agent spotted the Seoul bike API key in the span names. That API takes its key in the URL path, and Sentry records outgoing request URLs. It didn't use that screenshot. It masked the key in beforeSendSpan and beforeBreadcrumb , and captured a clean trace. Commit: 1601876 https://github.com/scs0209/touch-grass-agent/commit/1601876 "mask the Seoul API key in Sentry spans" 그럼 이제 readme는 현재 작업에 맞춰서 작성되어있는지 확인해봐 Translation Now check whether the README matches the current work. README를 현재 코드와 설정에 맞춰 대조해 보겠습니다. I want to cross-check the README against the current state—checking whether the OSRM prefetch line, full session capture, private checkpoints repo, and the Sentry trace screenshot are all accurately reflected, so I need to read through the README and the docs images carefully. ~/touch-grass-agent/README.md bash $ cd ~/touch-grass-agent && git log --oneline --format='%h %ad %s' --date=format:%H:%M -- README.md docs | head; rg -n "docs/" README.md; ls docs; cat apps/server/.env.example; rg -n "node|engines" package.json apps/ /package.json | head README 본문은 대부분 맞습니다. 다만 README에 넣은 Sentry 캡처는 경로 개선 전에 찍은 것이라, 지금 동작과 맞는지 직접 보겠습니다. Let me check docs/sentry-trace.png — that's the old trace screenshot showing plan-route taking time after Gemma, which may now be outdated given current behavior. I should view it to compare. ~/touch-grass-agent/docs/sentry-trace.png That old screenshot showing the 3.92s plan-route behavior is outdated now, so I should swap it for the "after" trace screenshot, cropped consistently, and keep the README update minimal rather than turning it into a full write-up. Since the request was just "check", I should focus on reporting findings rather than making edits unprompted. Other gaps worth flagging: the Entire session recording setup hooks.json, checkpoint repo push isn't mentioned anywhere despite being relevant for the "Best Use of Entire" category; the local run instructions and credits section look fine; and there are unreferenced screenshots sentry-retry.png, sentry-agent-activity.png that may have been orphaned by an earlier commit, which I should verify with git history. 이 Sentry 캡처는 개선 전 plan-route가 3.92초 걸리던 trace네요. docs에는 README에서 쓰지 않는 캡처가 두 장 더 있어서, 원래 사용하려던 것인지 이력을 확인해보겠습니다. bash $ cd ~/touch-grass-agent && git log --format='%h %s' -S 'sentry-retry' -- README.md; git log --format='%h %s' -S 'sentry-agent-activity' -- README.md; git show 00fb2b7 --stat | tail -6; git show efdddec -- README.md | head -40 README 본문 설명은 현재 코드와 맞지만, 두 군데가 지금 상태를 반영하지 못하고 있습니다. 지금 상태와 맞는 부분 - 실행 방법: Node 22.13 이상, pnpm, Ollama, gemma3:4b , .env.example 복사, 포트 5173과 8787 - .env 변수 설명: SEOUL OPEN API KEY , SENTRY DSN - 워크플로 4단계 설명과, 오늘 추가한 "Gemma가 생각하는 동안 OSRM 요청 1번으로 후보 공원 경로를 미리 받는다"는 문장 - 데이터 출처 Credits 고쳐야 할 부분 1. Sentry 캡처 docs/sentry-trace.png 가 개선 전 trace입니다. 캡처 속 plan-route가 3.92초로 나와 있어서, 같은 README 아래쪽의 "경로는 보통 미리 준비된다"는 설명과 어긋납니다. 오늘 측정한 개선 후 trace plan-route 0ms 로 바꾸는 게 맞습니다. .cursor/hooks.json 과 Entire 설정이 커밋돼 있습니다. 그래서 clone한 사람이 Entire를 설치해 두면 에이전트 대화가 기록되고, private 저장소로 push됩니다. 그런데 README에는 이 내용도, 집에서 필요한 entire enable 단계도 빠져 있습니다. Best Use of Entire에 낼 거라면 더욱 넣는 게 좋습니다. 참고만 할 부분 - docs/sentry-retry.png 와 docs/sentry-agent-activity.png 는 README 어디에서도 쓰지 않습니다. 이력을 보면 처음부터 README에 연결된 적이 없어서, DEV 글에 쓰려고 둔 것으로 보입니다. - 개선 전후 수치 plan-route 0.8~4초에서 0~3ms 는 README보다 DEV 글에 넣는 게 어울려 보입니다. 1번과 2번을 지금 고칠까요? 1번은 로그인된 Sentry에서 개선 후 trace를 같은 구도로 다시 캡처해 교체하면 됩니다. I notice those two screenshots aren't referenced in the README at all—likely meant for the DEV write-up instead. I should flag that along with two other findings: the Sentry screenshot is outdated and needs a fresh capture showing the after-trace view, and the Entire tool isn't mentioned anywhere, so I should propose adding a short "Agent sessions" section explaining it. Then I'll ask the user whether to apply these fixes. 응 고쳐 Translation Yes, fix it. 두 군데 모두 고치겠습니다. 먼저 기존 캡처의 해상도를 확인해 같은 크기로 개선 후 trace를 캡처하겠습니다. I need to check the screenshot dimensions since the existing one seems cropped to just the trace content without the sidebar. I should capture a fresh browser screenshot and crop it to match the main panel properly. bash $ cd ~/touch-grass-agent && sips -g pixelWidth -g pixelHeight docs/sentry-trace.png docs/sentry-retry.png | rg pixel { "url": "https://my-org.sentry.io/explore/traces/trace/fe9a45ba0c1b494694f31ede329c556e/?statsPeriod=6h&project= PROJECT ID " } Comparing dimensions, the old screenshot was 2281x568 showing header and waterfall without sidebar, while my current capture is 1024x753 with the main panel starting around x≈157. The scale difference suggests the old image was captured from a wider browser window, around 2.6x the current one. To match it, I'll override the device metrics to a width of 1300 and height of 700 with a 2x scale factor, giving a main panel width of roughly 1143 CSS pixels 2286 at 2x . Then I need to find the bounding box of the content between the "workflow.run" header and the bottom of the waterfall by querying the element rects before capturing the clipped screenshot. { "action": "devtools Emulation.setDeviceMetricsOverride" } { "action": "screenshot" } 캡처 속 environment가 after 로 나와 README용으로는 어색합니다. 기존 캡처처럼 production trace가 되도록 실제 서버로 요청을 1번 보내겠습니다. The "after" label seems off since the old screenshot was from production, so it'd be more representative to actually run a real request through the server with production defaults and capture that trace fresh, since a new process means no cache interference. I also need to fix the crop boundaries — the right edge got cut off before, truncating the duration text, so I should widen the capture region to include the full waterfall extent while excluding the sidebar and breadcrumb bar. Let me run the production request now. bash $ cd ~/touch-grass-agent/apps/server && PORT=8799 npx tsx --env-file-if-exists=.env src/index.ts /dev/null 2 &1 & && sleep 4 && curl -s -X POST localhost:8799/api/recommend -H 'content-type: application/json' -d '{"lat":37.5665,"lon":126.978,"availableMinutes":60}' | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log r.source, r.place?.name, r.route?.distanceM } "; sleep 6; pkill -f "src/index.ts"; echo done { "action": "devtools Runtime.evaluate" } This could be an ingestion delay, so I should wait and retry the query with a broader time period rather than using a shell sleep. { "action": "devtools Runtime.evaluate" } Neither the production request nor the earlier smoke test appeared in Sentry, which is strange since the transaction should send as soon as the root span ends. I'm wondering if the server process got killed before Sentry's async transport had a chance to flush, even though I waited several seconds after the response came back. That must be it — the exporter likely batches spans and flushes on an interval or at shutdown, and SIGTERM from pkill would kill the process before it could flush. In my benchmark I explicitly called flush, but a long-running server wouldn't do that automatically unless it hit its interval. The best approach now is to keep the server running, send the request, wait at least 30 seconds, and then check Sentry rather than killing the process right away. 요청은 성공했지만 응답 후 서버를 바로 종료해서 Sentry가 전송을 마치지 못한 것 같습니다. 이번에는 서버를 계속 켜둔 채로 요청하고 trace가 도착할 때까지 기다려보겠습니다. bash $ cd ~/touch-grass-agent/apps/server && PORT=8799 npx tsx --env-file-if-exists=.env src/index.ts bash $ sleep 3; curl -s -X POST localhost:8799/api/recommend -H 'content-type: application/json' -d '{"lat":37.5665,"lon":126.978,"availableMinutes":60}' | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log r.source, r.place?.name, r.route?.distanceM } " { "action": "devtools Runtime.evaluate" } 운영 production 환경의 trace가 도착했습니다. plan-route는 1ms입니다. 서버를 끄고 이 trace를 캡처하겠습니다. I'm sorting out the timestamp confusion — that 02:16:47 UTC trace was actually the delayed arrival of the earlier request, not a new one, so I'll use trace 3e2e59cdc3ca4f as the actual production record with its 1ms plan-route. Now I'll stop the server. bash $ pkill -f "src/index.ts"; echo stopped { "url": "https://my-org.sentry.io/explore/traces/trace/3e2e59cdc3ca4f468ef53b438d9c3793/?statsPeriod=1h&project= PROJECT ID " } I wonder if the device override got cleared since we're still in the same turn. Let me take a screenshot to check the current layout before computing the clip. { "action": "devtools Runtime.evaluate" } The layout seems different between elements, with the title and env positions unclear. Let me take a screenshot to check visually. { "action": "screenshot" } This trace from the real HTTP server is great—it shows the OSRM request running in parallel with Gemma, visually proving the prefetch works, which would be perfect for the README. But I notice the Seoul API URL contains an exposed key in the path, which I need to redact before using this. This is actually a real security finding: the Seoul Open API key is leaking into Sentry span descriptions via the request URL, meaning it's likely present in older production traces too. I need to be careful not to reproduce or echo that key string anywhere in my reply. The real fix belongs in code — since the Seoul API requires the key as a URL path segment, I should scrub it before Sentry captures the span, likely via a beforeSendTransaction hook or URL-sanitization in the HTTP integration config, rather than relying on Sentry's defaults. I'll go ahead and apply this as a separate commit: add redaction logic in the SentryExporter options, confirm with a fresh trace, and use that clean trace for the README screenshot. I should also tell the user to rotate the Seoul API key since it's already been captured in past traces and can't easily be scrubbed after the fact. Let me check bikes.ts to confirm the exact URL structure first. 이 trace에서 서울 따릉이 API 키가 URL 경로에 포함되어 Sentry span 이름에 그대로 노출되는 문제를 발견했습니다. 이 캡처는 README에 사용하지 않고, 키가 들어가는 코드를 확인하겠습니다. ~/touch-grass-agent/apps/server/src/conditions/bikes.ts The error message truncation looks fine as-is. For the fix, I'm considering adding beforeSendSpan to the SentryExporter options in mastra.ts since Sentry v10 supports filtering spans within transactions, and I need to check whether child http.client spans get intercepted that way too. I also need to handle breadcrumbs since those capture URLs too, so beforeBreadcrumb should redact the key as well, with a generic redact function replacing the secret value with a placeholder string wherever it appears, including both raw and URL-encoded forms since the key may be encoded in request paths. Writing redaction helper... Actually a cleaner, more thorough approach might be to stringify the whole event, apply the redaction replace, then parse it back — this catches the secret anywhere in the event including breadcrumbs, description, and data fields in one pass via beforeSendTransaction / beforeSend , rather than separately patching each field. I should verify the exporter's config type actually supports these hooks before committing to this approach. Sentry 쪽에서 키를 지우는 방향이 맞습니다. SentryExporter 가 Sentry.init 에 옵션을 넘길 수 있으니 전송 전에 키 값을 가리도록 처리하겠으며, 먼저 옵션 타입을 확인하겠습니다. bash $ cd ~/touch-grass-agent/node modules/.pnpm && F=$ ls -d @mastra+sentry / | head -1 ; rg -n "options\??:|interface SentryExporterConfig" -A3 $F/node modules/@mastra/sentry/dist/ .d.ts | head -20 I'm writing a helper in mastra.ts that redacts the Seoul bike API key from Sentry event URLs before transactions are sent, since that API embeds its key directly in the request path. ~/touch-grass-agent/apps/server/src/mastra.ts bash $ cd ~/touch-grass-agent && pnpm --filter server typecheck 2 &1 | tail -5 Sentry로 보내기 전에 키를 가리도록 고쳤습니다. 실제 서버로 요청을 보내 새 trace에 키가 없는지 확인하겠습니다. bash $ cd ~/touch-grass-agent/apps/server && PORT=8799 npx tsx --env-file-if-exists=.env src/index.ts bash $ sleep 4; curl -s -X POST localhost:8799/api/recommend -H 'content-type: application/json' -d '{"lat":37.5665,"lon":126.978,"availableMinutes":60}' | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log r.source, r.place?.name, r.route?.distanceM, 'bike:', r.bikeStation?.name ?? '-' } " I need to query Sentry for http.client spans with "seoul" in the newest trace and verify the description contains the placeholder " SEOUL OPEN API KEY " rather than the actual key—without printing the raw description, since that could leak the key into the transcript if redaction failed. I should check this as a boolean condition instead of displaying the text directly. { "action": "devtools Runtime.evaluate" } I'm realizing the timestamp mismatch makes sense now: the trace at 02:16:47 corresponds to my first request sent around 11:16:40 local time , which matches UTC offset. So that first killed request's trace did arrive, but the second request's trace may not have delivered yet. Delivery might just be delayed — maybe the observability batching flushes on some interval, so I should wait longer and poll for a couple more minutes, filtering for anything after 02:19 UTC since my latest request was around 02:20. { "action": "devtools Runtime.evaluate" } I'm wondering if the second request's transaction ever actually arrived, so I should pull up all http.server root traces in the last 30 minutes without my earlier filter to check. { "action": "devtools Runtime.evaluate" } I see trace eb326be9 at 02:17:46 for the second request, but the third one with redaction never arrived — my redaction attempt might have broken the send entirely. It's possible JSON.parse JSON.stringify event throws on circular references, since the transaction event may contain non-serializable objects like Scope instances in sdkProcessingMetadata, which would cause an error inside beforeSend. 새 trace가 도착하지 않는 걸 보니 방금 추가한 가리기 코드가 전송을 막는 것 같습니다. 서버 로그를 확인해보겠습니다. ~/.cursor/projects/Users-me-touch-grass-agent/terminals/896520.txt Since Sentry silently swallows errors in beforeSendTransaction, I can't rely on logs to debug this. I'm reconsidering the approach — instead of JSON round-tripping the entire event, it's safer to redact specific fields directly: span descriptions, span data strings, transaction name, request URL, and breadcrumb contents. A recursive walker that tracks visited objects with a WeakSet to avoid cycles, mutating only string values in place rather than copying the whole structure, seems like the safer route. I should skip walking into sdkProcessingMetadata since it holds Scope objects that are expensive and risky to traverse. Before committing to this, I want to confirm the actual crash by quickly testing JSON.stringify directly on the event inside beforeSendTransaction. Actually, I'm realizing Sentry v10's beforeSendSpan hook is the documented, cleaner way to scrub span data since it receives each span's plain SpanJSON object with description and data fields, and combined with beforeBreadcrumb for HTTP breadcrumb URLs, that should cover all the places URLs could leak—error messages themselves don't seem to carry the URL text. I'm now sketching a redactSpan function that spreads the span and conditionally redacts its description field. I need to figure out the right TypeScript types for the Sentry exporter options since they aren't directly importable, so I'm deriving a SentryOptions type from the SentryExporter constructor parameters, then defining beforeSendSpan and beforeBreadcrumb handlers that redact span descriptions, span data, and breadcrumb messages/data. I'm weighing this against a simpler JSON-wide redaction approach but worry that stripping sdkProcessingMetadata could break dynamic sampling context, so I'm settling on the beforeSendSpan plus beforeBreadcrumb approach, confirming it should also cover root spans in v8+. 로그엔 에러가 없지만, Sentry가 beforeSendTransaction 내 예외를 조용히 삼켜 이벤트를 버린 것으로 보입니다. SDK 객체 직렬화 실패 가능성이 크니 beforeSendSpan 과 beforeBreadcrumb 로 교체하겠습니다. ~/touch-grass-agent/apps/server/src/mastra.ts ~/touch-grass-agent/apps/server/src/mastra.ts bash $ pkill -f "src/index.ts"; cd ~/touch-grass-agent && pnpm --filter server typecheck 2 &1 | tail -8 Since span.data is required, I need to handle the redaction typing carefully — making redactValues generic so it preserves the input type whether or not it's optional, rather than forcing a fallback with ?? . ~/touch-grass-agent/apps/server/src/mastra.ts bash $ cd ~/touch-grass-agent && pnpm --filter server typecheck 2 &1 | tail -8 bash $ cd ~/touch-grass-agent/apps/server && PORT=8799 npx tsx --env-file-if-exists=.env src/index.ts bash $ sleep 4; curl -s -X POST localhost:8799/api/recommend -H 'content-type: application/json' -d '{"lat":37.5665,"lon":126.978,"availableMinutes":60}' | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log r.source, r.place?.name, r.route?.distanceM } "; date -u +%H:%M:%S { "action": "devtools Runtime.evaluate" } I found 4 Seoul spans but they're all redacted. I should check if the URL fields like url.full or http.url retain unredacted data, so I'll query the trace detail endpoint directly and try fetching those fields from the spans dataset. 새 trace 82f244c7… 에서 서울 API span 4개의 이름에 키가 SEOUL OPEN API KEY 로 정상적으로 마스킹된 것을 확인했습니다. 이제 span 속성의 URL에도 키가 노출되지 않았는지 점검하겠습니다. { "action": "devtools Runtime.evaluate" } After stopping the server, I need to capture this trace screenshot for the README — it nicely shows the http.server root span with all the http.client spans including the now-redacted Seoul entry and OSRM running parallel to ask-gemma. I want to crop just the main panel from the title row down to the bottom of the waterfall, so I need to get the rects for that crop. 트레이스 전체에서 서울 API 호출이 span 속성까지 포함해 4번 확인됐고, 키 자리는 모두 SEOUL OPEN API KEY 로 마스킹되어 있었습니다. 서버를 종료하고 이 trace를 README용으로 캡처하겠습니다. bash $ pkill -f "src/index.ts"; echo stopped { "url": "https://my-org.sentry.io/explore/traces/trace/82f244c75e6b4ed2a97fd3fa1d8f93c9/?statsPeriod=1h&project= PROJECT ID " } I'm trying to figure out why the waterfall panel appears narrower than the full viewport width, wondering if the page content itself doesn't stretch to fill the 1300px css width I set, leaving blank space on the right side. { "action": "devtools Emulation.setDeviceMetricsOverride" } { "action": "devtools Runtime.evaluate" } { "action": "devtools Runtime.evaluate" } { "action": "screenshot" } I'm trying to reconcile the screenshot's apparent scaling with the raw CSS pixel measurements from the JS rects, since the browser screenshot tool seems to render the page at a different width than the actual 1400px layout, which is throwing off my estimate of where elements like "Root Duration" actually sit. Working through the math, I calculate the real scale factor is about 0.654, meaning the panel edges and header area correspond to specific css coordinates I need for a precise clip region. I'm setting up a Page.captureScreenshot call with a clip box covering the full waterfall panel, accounting for the device scale factor of 2 to get a properly sized output image. { "action": "devtools Page.captureScreenshot" } bash $ cd ~/touch-grass-agent && F=~/.cursor/browser-logs/cdp-response-Page.captureScreenshot-2026-10-06T02-25-47-543Z.json && node -e "const j=require '$F' ; const d=j.data ?? j.result?.data; require 'fs' .writeFileSync 'docs/sentry-trace.png', Buffer.from d,'base64' " && sips -g pixelWidth -g pixelHeight docs/sentry-trace.png | rg pixel && rm "$F" ~/touch-grass-agent/docs/sentry-trace.png { "action": "devtools Emulation.clearDeviceMetricsOverride" } The DPR override caused a tiled/duplicated render in the screenshot, so I need to clear that override and instead capture without it, using a clip region with scale 2 for higher resolution. I should reload the page first to get native layout width, since the main panel measures around 867px CSS wide at the native viewport size. 캡처 이미지가 타일처럼 반복돼 깨진 걸 보니 화면 크기를 임의로 바꿔서 생긴 문제 같습니다. 설정을 원래대로 되돌리고 기본 화면 크기에 확대 배율만 적용해 다시 캡처하겠습니다. { "action": "devtools Runtime.evaluate" } { "action": "devtools Runtime.evaluate" } I'm recalculating the clip region for the main panel, worried the scale factor of 2 might cause tiling again like before, so I'm trying a smaller scale of 1.75 instead. { "action": "devtools Page.captureScreenshot" } bash $ cd ~/touch-grass-agent && F=~/.cursor/browser-logs/cdp-response-Page.captureScreenshot-2026-10-06T02-26-13-915Z.json && node -e "const j=require '$F' ; const d=j.data ?? j.result?.data; require 'fs' .writeFileSync 'docs/sentry-trace.png', Buffer.from d,'base64' " && sips -g pixelWidth -g pixelHeight docs/sentry-trace.png | rg pixel && rm "$F" ~/touch-grass-agent/docs/sentry-trace.png The image still looks identical despite the size change, so it's probably caching by path. I'll copy it to a new temp filename and read that instead. bash $ cd ~/touch-grass-agent && sips -Z 1400 docs/sentry-trace.png --out /var/folders/s5/zjdyqcg93s15bwtzxqwb8ql00000gn/T/cursor/screenshots/readme-trace-preview.png /dev/null && echo ok /var/folders/s5/zjdyqcg93s15bwtzxqwb8ql00000gn/T/cursor/screenshots/readme-trace-preview.png The image still shows tiling at an unexpected width, suggesting the screenshot tool might be measuring against a different internal scale than the reported viewport dimensions. Let me try a different route instead: fall back on browser take screenshot which produces a correctly rendered 1024-wide image, then crop it with sips afterward. It's lower resolution than the earlier attempt, so I should check if the tool's schema allows a scale or fullPage option to boost quality. 기본 화면 크기에서도 CDP 캡처 시 오른쪽이 타일처럼 깨지는 문제를 확인했습니다. 정상적으로 캡처됐던 기본 스크린샷 도구로 다시 찍고 잘라내기 위해 사용 가능한 옵션을 확인하겠습니다. { "action": "screenshot" } I should check the actual pixel dimensions of the file since they might exceed the display size, then convert my crop coordinates from the 1024-display space to actual pixel coordinates using the appropriate scale factor. bash $ cd /var/folders/s5/zjdyqcg93s15bwtzxqwb8ql00000gn/T/cursor/screenshots && sips -g pixelWidth -g pixelHeight readme-trace-full.png | rg pixel; python3 -c "import PIL; print 'PIL', PIL. version " 2 &1 I'm converting the display coordinates to actual pixel coordinates to figure out the panel's crop boundaries, calculating the scale factor between the two resolutions to pinpoint the title position and panel edges. bash $ cd ~/touch-grass-agent && S=/var/folders/s5/zjdyqcg93s15bwtzxqwb8ql00000gn/T/cursor/screenshots && sips -c 696 1294 --cropOffset 54 268 $S/readme-trace-full.png --out docs/sentry-trace.png /dev/null && sips -g pixelWidth -g pixelHeight docs/sentry-trace.png | rg pixel && cp docs/sentry-trace.png $S/readme-trace-crop.png /var/folders/s5/zjdyqcg93s15bwtzxqwb8ql00000gn/T/cursor/screenshots/readme-trace-crop.png The resolution is lower than the previous full-resolution screenshots but still readable at README display width, so that's fine to note. The OSRM URL coordinates are just a test point near Seoul City Hall, not a real user location, so no privacy concern there. Now I'm moving into drafting the actual README edits, starting with the Sentry paragraph. I'm updating it to mention that traces now also capture outgoing HTTP requests alongside the workflow steps, agent run, and Gemma call, noting the API key is redacted, and revising the image alt text to describe the OSRM request running concurrently with the Gemma call. Then I'm writing a new "Agent sessions" section explaining that Entire records each Cursor agent session and links it to its commit, with checkpoints pushed to a separate private repo so transcripts stay confidential until reviewed, plus setup instructions for installing and enabling Entire on a new machine. I'm second-guessing whether strangers without access to the private checkpoint repo would run into issues, so I want to phrase the instructions as "if you have access..." rather than assuming it works universally, while keeping things concise since the repo name is already configured elsewhere. 캡처가 깔끔하게 나왔습니다—OSRM 요청이 Gemma 호출과 동시에 진행되고 plan-route는 0ms, 서울 API 키도 가려져 있네요. 이제 README에 쓸 entire enable 사용법을 확인하겠습니다. bash $ cd ~/touch-grass-agent && entire agent-help enable 2 &1 | head -30 I should run the enable command non-interactively with the cursor agent flag, then update the README with the relevant edits. ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md README와 캡처를 바꿨습니다. 키 가리기 수정과 README 수정은 성격이 달라 커밋을 둘로 나누겠습니다. I'll split this into two commits — one for the redaction fix and one for the README and screenshot updates — keeping everything in English per the workspace rule. bash $ cd ~/touch-grass-agent && git status --short && git add apps/server/src/mastra.ts && git commit -q -F - <<'EOF' fix: mask the Seoul API key in Sentry spans - The Seoul bike API takes its key in the URL path - Sentry recorded it on outgoing request spans and breadcrumbs - Replace it with SEOUL OPEN API KEY in beforeSendSpan and beforeBreadcrumb EOF git add README.md docs/sentry-trace.png && git commit -q -F - <<'EOF' docs: update Sentry trace and add agent sessions - Replace the trace screenshot with one taken after the route prefetch - Mention outgoing request spans and the masked Seoul API key - Explain the Entire setup and the private checkpoint repository EOF git log --oneline -3 && git status --short 두 커밋을 만들었습니다. 집에서도 이어서 작업할 수 있게 지난번처럼 push하겠습니다 세션 기록은 private 저장소로 갑니다 . I noticed a minor blank-line formatting issue in the commit message but that's not significant. The bigger question is whether to push now — earlier in this workflow we did push, but I'm weighing whether to go ahead and push to match that established pattern or leave it unpushed and flag it to the user instead. Since home sync depends on the push and the user explicitly wants things to work the same way at home "집에서도 동일하게" , I'll go ahead and push — I've also confirmed the fix commit doesn't expose the leaked key itself, so it's safe to proceed. bash $ cd ~/touch-grass-agent && git push origin main 2 &1 | tail -5 && git ls-remote https://github.com/scs0209/touch-grass-agent-checkpoints.git | wc -l README를 고쳤고, 그 과정에서 발견한 API 키 유출도 막았습니다. 모두 커밋해 push까지 끝냈습니다. 다만 SEOUL OPEN API KEY 는 새로 발급받는 걸 권합니다. README 수정 55922c6 - Sentry 캡처 교체: 개선 후 실제 요청의 trace로 바꿨습니다. OSRM 경로 요청이 Gemma가 생각하는 동안 같이 진행되고, plan-route는 0ms로 나옵니다. brew install , entire enable --agent cursor , entire checkpoint list 을 넣었습니다. 발견하고 고친 문제 1601876 - 서울 따릉이 API는 키를 URL 경로에 넣는데, Sentry가 외부 요청 URL을 그대로 기록하고 있었습니다. 그래서 키가 Sentry trace에 평문으로 남았습니다. - 이제 Sentry로 보내기 직전에 키 자리를 SEOUL OPEN API KEY 로 바꿉니다 apps/server/src/mastra.ts . - 새 trace를 Sentry에서 열어, span 이름과 속성 어디에도 키가 남지 않은 것을 확인했습니다. 서울 API 요청 4번 모두 가려져 있었습니다. 직접 하셔야 할 일 - 오늘 Sentry 연동 이후 보낸 trace에는 키가 평문으로 남아 있습니다. 이번 세션 중에 찍은 캡처 한 장에도 키 일부가 보였고, 세션 기록에 그 이미지가 들어갔을 수도 있습니다. - 그래서 서울 열린데이터광장 https://data.seoul.go.kr 에서 키를 재발급받고, apps/server/.env 의 값을 새 키로 바꾸시는 게 안전합니다. Sentry의 trace는 하나씩 지우기 어려워서, 키를 바꾸는 쪽이 확실합니다. push하면서 세션 기록도 private 저장소로 함께 올라갔고, 지금 그 저장소에는 기록이 3개 있습니다. The Seoul key leaked into Sentry traces since the setup commit this morning, including production traces, and since Sentry can't easily delete individual transactions, rotating the key is the real fix. I should also flag that a partial of the key may have appeared in an earlier screenshot within this session, so I'll recommend rotation strongly regardless. People who skipped the bike question could still get a bike suggestion. Now the app looks up bike stations only when someone answers yes to "Public bikes?". Commit: 8568245 https://github.com/scs0209/touch-grass-agent/commit/8568245 "suggest bikes only when the user opts in" 자전거는 취향차이 아닌가 처음에 취향 골랐을 때 위주로 추천해주면 될거같은데 Translation Isn't biking a matter of taste? Base it on what people picked on their first visit. I'll check how the questionnaire answers currently control bike suggestions. Biking is personal preference, so I should recommend based on what was selected in the questionnaire rather than a fixed answer. I recall seeing a cycling == false check during sanitization, which suggests there's a cycling preference field I should check for. cycling|bike|Bike ~/touch-grass-agent/apps The questionnaire already asks "Public bikes?", but right now only "no" blocks bikes. "Yes" and no answer both let Gemma pick a bike. I'll change it so bikes come up only when the person said yes. I'm reconsidering the "Public bikes?" field logic—currently both yes and null allow bikes while no blocks them entirely. The user seems to want recommendations driven mainly by the taste selection made at the start, so I should clarify whether null should default to walking-only rather than allowing bikes. ~/touch-grass-agent/apps/web/src/Questionnaire.tsx ~/touch-grass-agent/apps/web/src/preferences.ts ~/touch-grass-agent/apps/server/src/recommend.ts I'm thinking through a gating condition: only fetch nearby bike stations when ride duration is at least 30 minutes and the user's preferences explicitly indicate cycling interest. I need to consider what happens when preferences are null and the AI is meant to decide freely—should it still be allowed to choose bikes in that case? Given the user's original complaint is that Gemma nearly always defaults to recommending bikes, I'm leaning toward making walking the conservative default whenever no explicit taste is chosen, and only suggesting bikes when cycling is explicitly true. I also want to vary the loading message text like "Checking the sky, the air, and nearby bikes…" so it's less repetitive. Now I'm rethinking the labels: showing "Happy to ride a bike" when cycling is true and "Walking only" when false, with a hint that without a yes the suggestions stay on foot. I also want to simplify the prompt instruction about bikeStationId to just say it's only set when stations exist, and need to check agent.ts for other places referencing cycling preferences around lines 412 and 445. ~/touch-grass-agent/apps/server/src/agent.ts ~/touch-grass-agent/apps/server/src/recommend.ts I'll put a single check where bike stations are fetched: only when the person answered "yes" to "Public bikes?". With no stations, Gemma, the fallback, and the bike-only parks all stay on foot. The simplest approach is to gate the station fetch once at the source, based on the cycling preference, so downstream code no longer needs redundant checks since stations will just be null when cycling isn't wanted. I should also update the UI side: the loading message about nearby bikes, the summary label showing "Happy to ride a bike" versus "Walking only," and the questionnaire hint text about 30+ minute outings in Seoul. Plus AGENTS.md needs a note that the SEOUL-specific bike behavior only applies when the person opted in to public bikes. ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts I should check whether the preferences destructured in fallbackRecommendation are actually used, and also revisit the prompt update. ~/touch-grass-agent/apps/server/src/agent.ts preferences ~/touch-grass-agent/apps/server/src/recommend.ts nearby bikes|cycling ~/touch-grass-agent/apps/web/src/App.tsx I realize findParks doesn't need the preferences parameter anymore, so I'm removing that destructure. ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/server/src/recommend.ts ~/touch-grass-agent/apps/web/src/App.tsx Now the questionnaire: a hint saying unanswered means walking, and the saved-picks summary shows the "yes" choice, since walking is now the default. ~/touch-grass-agent/apps/web/src/Questionnaire.tsx ~/touch-grass-agent/apps/web/src/preferences.ts bash $ cd ~/touch-grass-agent && pnpm -s typecheck 2 &1 | tail -15; curl -s localhost:8787/api/health Typecheck passes. I'm sending real requests from Seoul City Hall for 60 minutes with each "Public bikes?" answer: AI mode no answers at all , unanswered, no, and yes. Confirmed the Preferences import is still used by Conditions, and typecheck passes. Now I'll run four live request cases at Seoul City Hall with a 60-minute window, testing null preferences, custom null cycling, cycling false, and cycling true, sequentially. bash $ cd /tmp && for p in 'null' '{"pace":null,"interests": ,"company":null,"cycling":null}' '{"pace":null,"interests": ,"company":null,"cycling":false}' '{"pace":null,"interests": ,"company":null,"cycling":true}'; do curl -s -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":37.566,\"lon\":126.9784,\"availableMinutes\":60,\"preferences\":$p}" r.json node -e 'const r=require "/tmp/r.json" ;const c=r.conditions||{};console.log process.argv 1 .slice 0,60 ,"\n - ",r.recommendation?.activity,"| station:",r.bikeStation?.name??null,"| mode:",r.route?.mode,"| stations listed:",c.nearbyBikeStations?.length??null,"| bikeOnly parks:", c.nearbyParks|| .filter p= p.bikeOnly .length,"| src:",r.source ' "$p" done The gating logic seems fine, though the "stations listed: null" cases suggest the field name for nearby stations differs from what I expected. I'm also noticing "Bike ride to Dolmoru Children's Park" might relate to nearbyParks not being present in the response either, so I should check the actual keys in the JSON response. Now I'll verify whether "Dolmoru Children's Park" appears on the park list, since it looks like an English rendering of a Korean name. js $ cd /tmp && node -e 'const r=require "/tmp/r.json" ;console.log Object.keys r , Object.keys r.conditions||{} ;console.log JSON.stringify {place:r.place,rec:r.recommendation,route:r.route&&{mode:r.route.mode,d:r.route.durationMin,ride:r.route.rideMin,walk:r.route.walkMin}},null,1 ' The "yes" result is fine: that park is on the list under its OpenStreetMap name, and the route is measured 29 minutes riding plus 7 walking . Next, the README and the questionnaire screenshot. This looks like a legitimate park name from Nominatim, so the route and 38-minute duration check out fine, and the bike-related edge cases under 20 minutes, outside Seoul also follow the existing rules correctly. Now let me check if there's a questionnaire screenshot referenced in the README or docs. Bb ike|cycling|questionnaire|png ~/touch-grass-agent/README.md SEOUL OPEN API KEY \| ~/touch-grass-agent/AGENTS.md ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md ~/touch-grass-agent/README.md ~/touch-grass-agent/AGENTS.md The questionnaire screen gained a hint, so docs/questionnaire.png needs a new capture. I'll look for the script used to take it before. I need to recapture the questionnaire screenshot since the screen changed with the added hint, and double-check whether the home screenshot's summary reflects the correct cycling selection. Let me look for the script that captured these earlier screenshots, checking /tmp or the transcript for references to questionnaire.png. bash $ ls /tmp/ .mjs 2 /dev/null; rg -l "questionnaire.png" /tmp/ .mjs 2 /dev/null bash $ cd ~/touch-grass-agent && sips -g pixelWidth -g pixelHeight docs/questionnaire.png docs/home.png | rg pixel; ls "/Applications/Google Chrome.app/Contents/MacOS/" I could try using Chrome headless with a screenshot flag and a fresh profile, since without localStorage the questionnaire should appear on first visit. bash $ cd ~/touch-grass-agent && rm -rf /tmp/qprof && "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" --headless=new --user-data-dir=/tmp/qprof --hide-scrollbars --window-size=430,860 --force-device-scale-factor=2 --virtual-time-budget=4000 --screenshot=/tmp/questionnaire.png http://localhost:5173 2 /dev/null; sips -g pixelWidth -g pixelHeight /tmp/questionnaire.png | rg pixel bash $ ls -la /tmp/questionnaire.png; kill 4124 2 /dev/null; pkill -f qprof; sleep 1; sips -g pixelWidth -g pixelHeight /tmp/questionnaire.png | rg pixel /tmp/questionnaire.png This capture is cut off on the right. I'll compare it with the current image in docs/ . The screenshot looks cut off on the right, suggesting the layout is wider than the viewport even though I set window-size to 430. Let me compare it against the existing questionnaire.png to check. ~/touch-grass-agent/docs/questionnaire.png The bike section isn't visible in the viewport anyway, so that screenshot doesn't need recapturing. The demo.gif is meant to show the questionnaire being answered. The docs image only captures the top of the questionnaire, so the new hint below the fold isn't visible there and that image can stay unchanged. I'll check if the demo GIF scrolls far enough to show the "Public bikes?" question. bike|Walking only|scroll|Save my picks /tmp/demo-capture.mjs The demo GIF picks answers in the top part of the questionnaire and ends on a walk, so it doesn't need a new capture either. Committing the code first, then the docs, one after the other this time: The path was outside the workspace, so the search didn't apply there — that's fine. I'll skip recapturing the gif since the result won't change meaningfully, and the README and workflow description look fine as is. The edge case around the 20-minute/no-bikes scenario matches existing behavior, so I'll leave that alone too. Gemma still picks bikes by default even with the "yes" option, which is expected since the user opted in. Now I'll commit the code changes first, separately and in sequence, then follow up with the docs commit. bash $ cd ~/touch-grass-agent && git add apps && git commit -q -F - <<'EOF' update: suggest bikes only when the user opts in - Fetch bike stations only when "Public bikes?" is yes - Unanswered and "let the AI decide" now stay on foot - Drop the now redundant cycling checks and simplify the prompt - Questionnaire hint explains the rule; summary shows the yes - Loading text mentions bikes only for riders EOF git add README.md AGENTS.md && git commit -q -F - <<'EOF' docs: bikes come up only for riders who opt in - README and AGENTS.md say stations need a yes to public bikes EOF git rev-parse HEAD .git/readme-checked && git push -q && git log --oneline -3 --stat | rg -v '^\s $' Bike rides are now suggested only to people who answered "yes" to "Public bikes?" on the questionnaire. Everyone else gets a walk. This is committed and pushed. How it works now | "Public bikes?" answer | Suggestion | |---|---| | Happy to ride a bike | A bike ride when it fits: in Seoul, 30 minutes or more, and a station with bikes nearby | | Walking only | Walk | | Not answered | Walk before, this could be a bike | | "Let the AI decide everything" | Walk before, this could be a bike | What changed - The server now looks up bike stations only when the answer is "yes". Without stations, Gemma, the backup suggestion, and the parks too far to walk all stay on foot. This one check replaced the three separate "not walking only" checks. - The questionnaire has a hint under "Public bikes?": "Rides are suggested only if you pick yes Seoul, 30 minutes or more . Otherwise you walk." - The saved-picks summary on the home screen now shows "Happy to ride a bike" instead of "Walking only", because walking is now the default. - The loading message mentions bikes only for people who said yes. - The README and AGENTS.md describe the new rule. How I checked it - pnpm typecheck passes. - I sent real requests from Seoul City Hall for 60 minutes: - AI mode, unanswered, and "no" all gave "Walk to 청진공원". - "Yes" gave a ride from 466.롯데호텔 to Dolmoru Children's Park: 38 minutes total, 29 riding and 7 walking. - The README screenshot and the demo GIF don't need a new capture. They only show the top of the questionnaire, so the new hint isn't in them. Still open - People who say "yes" still get a bike almost every time. They chose bikes, so I left it. - Open-Meteo calls have no retry, and Overpass is sometimes slow same as before . 이제 자전거는 설문의 "Public bikes?"에 "예"라고 답한 사람에게만 추천합니다. 나머지는 모두 도보입니다. 커밋하고 푸시까지 했습니다. 지금 동작 | "Public bikes?" 답 | 추천 | |---|---| | Happy to ride a bike | 조건이 맞으면 자전거: 서울, 30분 이상, 근처 대여소에 자전거가 있을 때 | | Walking only | 도보 | | 답 안 함 | 도보 전에는 자전거가 나올 수 있었음 | | "AI가 다 정하기" | 도보 전에는 자전거가 나올 수 있었음 | 바뀐 점 - 서버는 답이 "예"일 때만 대여소를 조회합니다. 대여소가 없으면 Gemma, 대체 추천, 걷기엔 먼 공원 모두 도보로 갑니다. 이 확인 하나로 따로 있던 "walking only" 확인 세 군데를 대신했습니다. - 설문의 "Public bikes?" 아래에 안내 문구가 생겼습니다: "Rides are suggested only if you pick yes Seoul, 30 minutes or more . Otherwise you walk." - 이제 도보가 기본이라서, 홈 화면의 저장된 선택 요약에 "Walking only" 대신 "Happy to ride a bike"가 나옵니다. - 로딩 문구는 "예"라고 답한 사람에게만 자전거를 언급합니다. - README와 AGENTS.md 에 새 규칙을 적었습니다. 확인한 방법 - pnpm typecheck 통과했습니다. - 서울시청에서 60분으로 실제 요청을 보냈습니다: - AI 모드, 답 안 함, "아니요"는 모두 "Walk to 청진공원"이었습니다. - "예"는 466.롯데호텔에서 Dolmoru Children's Park까지 자전거였습니다: 전체 38분, 자전거 29분, 도보 7분. - README 스크린샷과 데모 GIF는 다시 찍지 않아도 됩니다. 설문 윗부분만 보여서 새 안내 문구가 들어가지 않습니다. 아직 남은 것 - "예"라고 답한 사람은 여전히 거의 매번 자전거가 나옵니다. 본인이 자전거를 골랐으니 그대로 두었습니다. - Open-Meteo 호출은 재시도가 없고, Overpass는 가끔 느립니다 이전과 같음 . There's one edge case: users who had previously saved a custom choice with cycling set to null will now get walks instead, but that's an acceptable, intended behavior change. I'm satisfied with this, so I'll move on to reporting. For the dead button, the agent emulated an iPhone in headless Chrome and checked which element was under it. It was the guided tour's full-screen layer. The tour now leaves a hole at the spotlight, and tapping the highlighted button ends the tour. For the plus code, my first reaction was "just write the names properly." The agent came back with tests. With names only, Google Maps opened 대치목련공원 when asked for 삼성목련공원, and sent "College Green" in London to a college in Paddington. Google Maps also has no walking directions in Seoul. So I picked Kakao Map for Korea, since its link takes a name and exact coordinates for every stop. The start is now a short street address from Nominatim, like "마포구 월드컵북로2길 11". The agent skipped the nearest shop name on purpose: "홍대 순대국" as a start point reads as if you were inside the restaurant. Commits: 960e21e https://github.com/scs0209/touch-grass-agent/commit/960e21e , 40032c2 https://github.com/scs0209/touch-grass-agent/commit/40032c2 , f261dcc https://github.com/scs0209/touch-grass-agent/commit/f261dcc 걸어서가기 버튼 핸드폰에서 눌렀는데 아무 반응도 없는데 Translation I tapped the "Walk there" button on my phone and nothing happened. I'll find the "걸어서 가기" button and see what it opens. I'm looking for the "걸어서 가기" button, which is probably the directions link shown on the result screen or at the end of the preview. 걸어서 ~/touch-grass-agent/apps/web/src directionsUrl ~/touch-grass-agent/apps/web/src The button is a link that opens Google Maps directions in a new tab. I'll look at the rest of the URL code and the app's service worker, since either could stop the link on an iPhone. That Google Maps link is target=" blank", so I'm wondering if the standalone PWA context on iPhone is interfering with how Safari handles opening a new tab — maybe the service worker is intercepting the navigation, or iOS standalone mode just doesn't behave the same way for external links as regular Safari. I should also check whether something invisible is overlaying the button — a tour step or check-in dialog element covering the link — and verify by inspecting what's actually at that point in the DOM. I want to open directions.ts fully and test with an iPhone emulation to click the link directly and see what happens, while also reviewing the service worker's fetch handling. bash $ cd ~/touch-grass-agent/apps/web && cat src/utils/directions.ts; ls public; rg -n "serviceWorker|navigator.serviceWorker" src | head; rg -n "display|start url|scope" public/ .webmanifest public/manifest 2 /dev/null | head bash $ cd ~/touch-grass-agent/apps/web && rg -n "apple-mobile-web-app|manifest" index.html; rg -n "addEventListener\ 'fetch'|navigate|respondWith" public/sw.js ~/touch-grass-agent/apps/web/public/sw.js I'm ruling out the service worker and manifest explanations since there's no standalone mode configured, and target= blank links aren't typically blocked as popups when user-initiated. I'm starting to wonder if something like an onboarding tour overlay is intercepting the button on mobile. I'll emulate an iPhone 13 mini via headless-shell, navigate to the result screen, and check what element is actually at the link's coordinates, then try clicking it directly to confirm whether a new tab opens. I'll follow the same flow as before with geolocation, chip selection, and waiting for the Gemma recommendation, keeping everything in Korean to match the target language. The service worker only affects this site, so it's not blocking the Maps link. Next I'll render the result screen at your iPhone's resolution in headless Chrome to check if something's overlapping the button. /tmp/tg-shots/directions.mjs bash $ cd /tmp/tg-shots && timeout 180 node directions.mjs 2 &1 | tail -20 My guess at the click path to the result screen was wrong. I'll copy the flow from the earlier test script. My assumption about the flow seems off, so I should look back at how earlier scripts actually reached the result in film.mjs. bash $ cd /tmp/tg-shots && ls && sed -n 1,80p film.mjs bash $ cd ~/touch-grass-agent/apps/web/src && rg -n "localStorage|STORAGE KEY|getItem\ " --type ts --type tsx -g ' .test. ' | head -30; rg -n "className=\"primary\"|onClick=\{. recommend|data-tour" App.tsx components/ .tsx | head -30 The app has a guided tour that highlights the directions button. I'll check whether it blocks taps. There's probably a Tour component overlaying the results screen with a "directions" step that might be capturing taps via pointer events. I should check Tour.tsx and its storage keys to confirm. ~/touch-grass-agent/apps/web/src/components/Tour.tsx bash $ cd ~/touch-grass-agent/apps/web/src && rg -n "localStorage\. get|set Item| KEY = '" -g ' .ts' -g ' .tsx' | head -20; rg -n "tour" App.tsx | head -30 I should check how choiceStorage parses data, and mark tours as seen for "home" and "result" to test the button behavior separately from the tour flow itself. Let me look at the choiceStorage and tour IDs to confirm this approach. bash $ cd ~/touch-grass-agent/apps/web/src && cat services/choiceStorage.ts types/tour.ts; rg -n "\.tour|tour-spotlight|tour-tip" styles .css / .css 2 /dev/null | head The tour dims the screen and blocks taps while it's showing, then disappears once finished, so the user probably got past it already. I should test with tours marked as seen and check the preferences mode, like a skip setting, by looking at the SavedChoice type. bash $ cd ~/touch-grass-agent/apps/web/src && rg -n "SavedChoice" -A4 types/preferences.ts Now the script skips the questionnaire and the tours, then taps "use my location". /tmp/tg-shots/directions.mjs Right, process.env won't exist in the browser, so I should fix this by passing a flag as an argument instead of relying on that. /tmp/tg-shots/directions.mjs bash $ cd /tmp/tg-shots && timeout 180 node directions.mjs 2 &1 | tail -20 It still doesn't reach the result. I'll check that the servers are up and take a screenshot of where the page stops. I should check that the servers are running first, then take a screenshot to see what the page actually displays if things time out. bash $ curl -s -m 5 localhost:8787/api/health; echo; curl -s -m 5 -o /dev/null -w '%{http code}\n' http://127.0.0.1:4173; curl -s -m 3 localhost:11434/api/tags /dev/null && echo ollama-up /tmp/tg-shots/directions.mjs bash $ cd /tmp/tg-shots && timeout 120 node directions.mjs 2 &1 | head -30 I notice there's a garbled output with stray Greek characters mixed into the Korean text, plus some inconsistent advice about staying indoors versus resting in a valley — likely a glitch worth flagging but not the main issue to address right now. Thinking about the actual bug, I wonder if the real culprit is the onboarding tour: when the spotlight highlights the "walk there" button, the overlay itself might be intercepting taps rather than passing them through to the button underneath. I should check whether the tour's CSS sets pointer-events correctly on that overlay layer. The recommendation was "stay inside," so the directions button never rendered — but the real culprit is likely the guided tour's dimmed overlay intercepting taps on that button. I'll check its CSS. \.tour \w- \s \{|\.tour \{ ~/touch-grass-agent/apps/web/src That confirms it: the full-screen tour overlay blocks taps everywhere, even on the spotlighted button, so tapping during the "directions" step does nothing. I should also verify the button works properly after the tour ends, so I'll test with a result that has a place, maybe switching geolocation to London since it's evening in Seoul but afternoon there. The real fix is making the overlay not intercept taps on the highlighted element itself — the spotlight should be functionally tappable, not just visually highlighted. I'm considering an implementation where the dim backdrop blocks taps everywhere except a cutout over the spotlighted area, using either pointer-events toggling with an auto-enabled hole region, or a clip-path with an evenodd hole cut into the backdrop polygon. When the user actually taps through the spotlight to interact with the real element, the tour should probably auto-dismiss rather than linger on top of whatever UI that action opens — so I need a capture-phase click listener that checks whether the tap landed inside the current spotlight bounds and finishes the tour if so. Now I want to check useTour to understand how the target element is located and whether it exposes a ref I can hook into. The tour's full-screen overlay intercepts taps even over the spotlighted button, so "걸어서 가기" looks tappable but isn't. I'll check how useTour locates its target so taps can pass through to it. bash $ cd ~/touch-grass-agent/apps/web/src && cat hooks/useTour.ts && cat utils/tour.ts | head -60 && rg -n "Tour " components/ .tsx App.tsx I'm figuring out how to make the tour overlay click-through except for the spotlight area—considering disabling pointer events on the overlay itself and only enabling them on the tooltip, while using a box-shadow trick on the spotlight element to create the dimming effect around the highlighted area. I also need to decide whether tapping the highlighted element itself should end the tour, since that could interfere with interactions like opening a preview or navigating within highlighted sections like "minutes" or "here." One option is to only finish the tour when the element is an actual actionable control like a link or button, letting panel-based steps like minutes or the city form remain interactive without dismissing the tour — though I'm still weighing whether panel steps should be tappable at all versus treating the spotlight purely as a transparent window onto the page beneath it. Checking the preview modal's z-index confirms the tour would otherwise sit above it, so finishing on click is actually necessary there. I'll wire up the actionable-click-to-finish logic in the tour step effect, making sure finish is declared before it's referenced and added to the dependency array — this is a reasonable bug fix within scope, so I'll move forward with it, along with handling Escape and the aria-modal dialog semantics. Now I'm sketching out the backdrop hole positioning in Tour.tsx... Writing clip-path polygon logic... I'm setting up the overlay structure so the backdrop captures pointer events while the tooltip stays interactive despite its pointer-events-none parent. I should check whether a tour utility test file already exists before adding the spotlight clip function to utils. I'll fix the spotlight so taps reach the highlighted element by cutting a hole in the dim overlay, and make tapping it end the tour. First, let me check the existing tour tests and the preview's z-index. bash $ cd ~/touch-grass-agent/apps/web && ls src/utils | rg -i tour; rg -n "z-index" src/styles/App.css | head -20; cat src/constants/tour.ts; cat package.json | rg -n '"test|vitest' Now the edits: a hole-shaped clip for the backdrop in utils/tour.ts , the backdrop in Tour.tsx , the CSS, and ending the tour when its link or button is tapped in useTour.ts . ~/touch-grass-agent/apps/web/src/utils/tour.ts ~/touch-grass-agent/apps/web/src/components/Tour.tsx ~/touch-grass-agent/apps/web/src/components/Tour.tsx ~/touch-grass-agent/apps/web/src/styles/App.css ~/touch-grass-agent/apps/web/src/styles/App.css Now useTour : end the tour when the highlighted element is itself a link or button and gets tapped. ~/touch-grass-agent/apps/web/src/hooks/useTour.ts ~/touch-grass-agent/apps/web/src/hooks/useTour.ts I'm checking whether the "preview" and "here" tour targets map to actual buttons versus divs, and confirming the home tour flow finishes correctly when tapped. Since the dev server isn't running, I'll need to rebuild before testing with pnpm phone, so I'll start by running check:fix first. bash $ cd ~/touch-grass-agent && rg -n -B3 'data-tour="preview"' apps/web/src/components/ResultCard.tsx | head; pnpm check:fix /dev/null; pnpm typecheck; echo "exit $?" Typecheck and lint pass; only the 2 older warnings remain. Next I'll restart pnpm phone so the production build includes the fix. Good, only the two pre-existing warnings remain. Now I need to restart pnpm phone to rebuild - let me find the terminal running it, kill the ports, and restart it in the background. bash $ cd ~/touch-grass-agent && for i in 1 2 3; do pids=$ lsof -ti tcp:8787 -ti tcp:4173 2 /dev/null ; -z "$pids" && break; kill $pids; sleep 1; done; lsof -ti tcp:8787 -ti tcp:4173 || echo "ports free" bash $ cd ~/touch-grass-agent && pnpm phone The kill loop failed zsh doesn't split the PID list , so the new start will collide with the old servers. I'll stop all of them properly and start again. My kill command didn't take and now I accidentally launched pnpm phone alongside the old process, which will cause a port conflict. I need to properly kill both the new and old processes before retrying. bash $ kill 25596 2 /dev/null; for i in 1 2 3 4; do pids= ${ f "$ lsof -ti tcp:8787 -ti tcp:4173 2 /dev/null "} ; -z "${pids 1 }" && break; kill ${pids @ }; sleep 1; done; lsof -ti tcp:8787 -ti tcp:4173 || echo "ports free" bash $ cd ~/touch-grass-agent && pnpm phone While it builds, I'll update the test. It will use a London location midday there , run with the tour on, step to the "directions" step, and tap the spotlighted button. I should also update the test setup to use London geolocation so it's afternoon there while Seoul is at 20:00 KST. I'll test the TOUR=1 flow by waiting for the tour, clicking Next until reaching the directions step, tapping the link center, and verifying the target opens and the tour disappears—plus checking the same flow without the tour active. /tmp/tg-shots/directions.mjs bash $ sleep 20; tail -15 ~/.cursor/projects/Users-me-touch-grass-agent/terminals/890491.txt; curl -s -m 3 localhost:8787/api/health; curl -s -m 3 -o /dev/null -w ' web %{http code}\n' http://127.0.0.1:4173 bash $ cd /tmp/tg-shots && TOUR=1 timeout 150 node directions.mjs 2 &1 | tail -25 I don't think I need to verify the old build fails since the elementFromPoint logic already confirms the full-screen tour div without pointer-events none was blocking things before. I should also test the no-tour case and the preview button tap to make sure the tour disappears properly, then grab a screenshot. The "걸어서 가기" button now correctly opens Google Maps directions and ends the tour, though the dimmed area still blocks taps. Next I'll test the button without the tour active, and check that tapping "preview" during the tour opens preview without the tour overlay. bash $ cd /tmp/tg-shots && timeout 150 node directions.mjs 2 &1 | tail -12; TOUR=1 STEP=preview timeout 150 node directions.mjs 2 &1 | tail -12 With no tour, the tap missed. That's probably because nothing scrolled the button into view the tour does that . I'll scroll it into view in the test and check again. Ah, without the tour the link isn't scrolled into view like the tour does, so its center ends up off-screen and elementFromPoint fails the tap check. I need to add a scrollIntoView step for the non-tour test case before checking the target. /tmp/tg-shots/directions.mjs bash $ cd /tmp/tg-shots && timeout 150 node directions.mjs 2 &1 | tail -12 Good, the preview opened after the tap even though my selector guess was off—that's fine. Now let me check the tour screenshot to confirm the visuals are unchanged. All three cases work as expected — no tour opens Google Maps, and tapping the preview during a tour loads the map and closes the tour. I'll check the tour screenshot next to confirm it looks correct. /tmp/tg-shots/directions-tour.png The tour looks the same as before: the page is dimmed, the button is lit, and the card points at it. Now I'll check whether the docs describe the tour's tap behavior. The dimming looks fainter than expected in the screenshot—maybe it was captured mid-transition, or the page background color is affecting perception. The box-shadow spotlight effect itself seems unchanged though, so I should compare more carefully to see if the button is actually rendering correctly. bash $ cd ~/touch-grass-agent && rg -n -i "tour" README.md docs/how-it-works.md ~/touch-grass-agent/docs/how-it-works.md bash $ cd ~/touch-grass-agent && pnpm check && git add -A && git status --short && git commit -q -m "fix: let taps reach the tour's highlighted button" -m "- The tour's full-screen layer swallowed taps on the spotlighted element, so the directions link did nothing on the first result - Clip a backdrop around the spotlight so only the dimmed area blocks taps - End the tour when its highlighted link or button is tapped - Note the behavior in docs/how-it-works.md" && git push -q && git log --oneline -1 The README doesn't need changes since the screenshots are still accurate, so I'll note it as checked. I noticed some garbled text in the Gemma output for Seoul "어δη졌어요" which is outside the current request but worth flagging as a potential validation gap for non-Hangul/Latin characters. I should also remind the user that the service worker caches pages network-first, so they'll need to reload to get the new build. bash $ cd ~/touch-grass-agent && git rev-parse HEAD .git/readme-checked && git status --short | head -3; echo ok I fixed it. On your first suggestion, the app shows a short guided tour. Its step 2 lights up the "걸어서 가기" button, but a see-through layer covering the whole screen was catching the tap, so nothing happened. Now the lit-up button works, and the dimmed area still ignores taps. What changed - The tour's cover layer now has a hole cut out where the spotlight is, so a tap there reaches the real button. - Tapping the lit-up button or link directions or the walk preview also ends the tour. Otherwise the tour card would stay on top of the preview, or still be there when you come back from Google Maps. - I added a note about this to docs/how-it-works.md . The README.md is still accurate. How I tested it headless Chrome at iPhone size, real requests, London location - During the tour, tapping "걸어서 가기" opened Google Maps walking directions and ended the tour. - With no tour, the button opened Google Maps. - During the tour, tapping "산책 미리보기" walk preview opened the preview, and the tour went away. - Typecheck and lint pass; the only warnings are the 2 that were already there. It's committed and pushed as 960e21e , and the Entire checkpoints were pushed too. I restarted pnpm phone with the new build. Reload https://my-mac.tailnet.ts.net https://my-mac.tailnet.ts.net on your iPhone and try again. Not fixed outside this request : my first Seoul test at night returned "stay inside", but Gemma's text had broken characters "어δη졌어요" and also suggested resting by a valley. Catching mistakes like that would mean changing how the server checks the model's answer, which is a separate task. 고쳤어요. 첫 추천에서 앱이 짧은 둘러보기 안내를 보여줘요. 그 2단계에서 "걸어서 가기" 버튼이 밝게 강조되는데, 화면 전체를 덮은 투명한 층이 탭을 가로채서 아무 반응이 없었어요. 이제 강조된 버튼은 눌리고, 어둡게 처리된 부분은 여전히 탭이 막혀요. 바뀐 점 - 안내의 덮개 층에서 강조된 자리를 구멍처럼 뚫어서, 거기를 탭하면 실제 버튼에 닿아요. - 강조된 버튼이나 링크 길찾기, 산책 미리보기 를 누르면 안내도 끝나요. 그러지 않으면 미리보기 위에 안내 카드가 남거나, Google 지도에서 돌아왔을 때도 계속 떠 있어요. - docs/how-it-works.md 에 이 동작을 적었어요. README.md 는 그대로 맞아요. 확인한 방법 아이폰 크기의 headless Chrome, 실제 요청, 런던 위치 - 안내 중에 "걸어서 가기"를 누르면 Google 지도 도보 길찾기가 열리고 안내가 끝났어요. - 안내가 없을 때도 버튼을 누르면 Google 지도가 열렸어요. - 안내 중에 "산책 미리보기"를 누르면 미리보기가 열리고 안내가 사라졌어요. - 타입 검사와 린트는 통과했고, 경고는 원래 있던 2개뿐이에요. 960e21e 로 커밋하고 푸시했고, Entire 체크포인트도 같이 푸시됐어요. 새 빌드로 pnpm phone 도 다시 시작했어요. 아이폰에서 https://my-mac.tailnet.ts.net https://my-mac.tailnet.ts.net 을 새로고침한 뒤 다시 눌러 보세요. 고치지 않은 것 이번 요청 밖 : 밤에 서울로 처음 테스트했을 때 결과가 "실내에 있는 게 좋겠어요"였는데, Gemma 문장에 글자가 깨져 있었고 "어δη졌어요" 계곡에서 쉬라는 말도 섞여 있었어요. 이런 실수를 잡으려면 서버가 모델 답을 검사하는 방식을 바꿔야 해서, 따로 할 작업이에요. 출발지 도착지가 제대로 구글맵에 안찍히는데? 8Q98FXH5+WRF이렇게 찍혀 Translation The start and the destination don't show up properly in Google Maps. They show up like 8Q98FXH5+WRF. I'll check what the directions link sends to Google Maps and what Google does with it. The code 8Q98FXH5+WRF is a Google "plus code" for a spot in Seoul. I see the destination is given as lat,lon so Google Maps displays it as a plus code instead of a readable name, and since the URL has no origin parameter, Maps likely falls back to current location — so I should use a proper place name or address for the destination to fix this. But I also realize there's a bigger issue: Google Maps doesn't support walking/driving directions in South Korea at all due to map data export restrictions — only transit is available there. Given the plus code location 8Q98 range corresponds to Seoul, this user is almost certainly hitting that known limitation rather than a formatting problem. That changes the fix direction entirely: Naver Map or Kakao Map links would actually work for walking routes with proper place names and coordinates in Korea, but switching providers counts as a product decision that adds an external service, so per AGENTS.md I should surface this choice to the user rather than silently picking one. Kakao's link format supports walk mode with origin/destination names plus coordinates, which would resolve the accuracy problem too. I'm checking whether Kakao's link format supports multiple waypoints beyond just start/end, since our bike route needs a walk-to-station leg before the bike leg to the park, and I'm not fully sure if Kakao's docs confirm support for intermediate stops. I should confirm which fields are available from the ResultCard origin coordinates, place name before fetching Kakao's documentation to verify this. Also worth noting: the user's complaint that origin/destination aren't being captured correctly likely stems from omitting the origin, causing Google Maps to default to device location instead of the typed city—so passing origin explicitly should fix this. bash $ cd ~/touch-grass-agent/apps/web/src && cat utils/directions.ts; rg -n "directionsUrl" -g ' .ts ' . ; sed -n 140,170p components/ResultCard.tsx; sed -n 245,275p components/WalkPreview.tsx Since the destination is given as raw coordinates, Google will just label it with a plus code, and since no origin is specified, it'll default to device location which could be wrong if the user searched by city. I also recall that Google Maps doesn't support walking directions in Korea, so I should check Kakao Map's URL scheme instead. The raw-coordinate link lacks a name or start point, so Google would default to the phone's location and also can't give walking directions in Korea. I'll check Kakao Map's link format instead, which supports a name plus coordinates. { "url": "https://apis.map.kakao.com/web/guide/ routeurl" } Kakao's link format works well for Korea without needing an API key, supporting walking and biking routes with multiple waypoints. For Google Maps outside Korea, I'm weighing whether to use coordinates for precision versus text labels for readability, since using lat/lng as the destination sacrifices a clean display name for accuracy. This really comes down to a product decision, and I need to check what origin data is actually available in the ResultCard — whether it's user location or a city center point — before deciding. I should just ask the user directly rather than guess. I found two issues: Google Maps shows bare coordinates as a plus code since it can't accept name+coordinates together, and with no start point specified it defaults to phone location plus it lacks walking/cycling routing in Korea . Kakao Map supports name+coordinates for all points with walking/cycling, but switching services changes what opens, so I'd like your confirmation first. {"questions": {"question":"Which map should the directions button open? / 길찾기 버튼이 어떤 지도를 열까요?","options": " Recommended Kakao Map in Korea, Google Maps elsewhere. Both get the start point. / 추천 국내는... My answer to the multiple-choice question, typed in "Other" 맵이 문제가 아니라 그냥 출발지 도착지를 제대로 적어줘야되는거 아니야? Translation The map isn't the problem. Shouldn't you just write the start and the destination properly? Understood: keep Google Maps, but send real names for the start and destination instead of bare coordinates. I'll check which names the result has place, district, city, bike station, start . Right, the user wants proper place names in the Google Maps URL rather than coordinates. I should use the destination's actual name and locality as text for origin/destination, accepting some risk that geocoding might not match perfectly, since Google's text search doesn't let me combine coordinates with a name field. But station names like bike-share stops with numbering "102. 망원역 1번출구 앞" might not search well as plain text, so I need to test how that actually resolves before committing to the format. For origin, if it comes from GPS I should just omit it so Google labels it "내 위치", but if the user searched a city I should pass that typed or resolved city text instead—so I need to check what fields are actually available in the app's state for the origin. bash $ cd ~/touch-grass-agent/apps/web/src && cat types/geo.ts; rg -n "interface Place|Recommendation|BikeStation|RecommendResult|Destination |type Place|Destination|BikeStation \b" -A14 types/ | head -120 ~/touch-grass-agent/apps/web/src/types/api.ts ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx I need to figure out whether origin came from GPS or a city name like "Seoul" — checking how around is computed in the app's recommendation logic to see if there's a flag distinguishing the two. bash $ cd ~/touch-grass-agent/apps/web/src && rg -n "around" App.tsx hooks/useRecommendation.ts | head -20; cat utils/places.ts; rg -n "StoryInput" -A16 types/preview.ts | head -30; rg -n "bikeStation|destination" utils/result.ts | head I'm working out the search origin logic: using HERE LABEL for GPS coordinates, otherwise falling back to the city label, with city center from Nominatim as the origin text. I'm sketching a DirectionsTrip type defining destination and an optional origin field for when the trip starts from the phone's current location. For the destination text, I'm joining name, area, and city with commas, trusting Google to find the best match if the full query doesn't resolve exactly. For bike station waypoints, I'm thinking through how to strip the leading number from station names since Google won't recognize the raw format, weighing whether to keep coordinates versus cleaned-up names given that Ddareungi stations often have naming patterns like "XX역 1번출구 앞" that Google can usually parse reasonably well. For the origin, if it's GPS-based I'll likely omit it entirely so Google defaults to the user's current location, and if it's a city search I'll pass the city name as a label so Google doesn't route from the wrong starting point. I also need to figure out how to thread area/city data through components like WalkPreview and StoryInput that currently lack it, possibly by computing a directions URL in ResultCard and passing it down as a prop. I'll send destinations as "place, district, city" text, use the searched city or omit it for your own location as the start, and treat bike rental stations as named stops. Let me check the bike station name format and how WalkPreview receives its props. bash $ cd ~/touch-grass-agent && rg -n "stationName|name:" apps/server/src/conditions/bikes.ts | head; rg -n "interface WalkPreviewProps|export function WalkPreview" -A10 apps/web/src/components/WalkPreview.tsx | head -30; rg -n "<WalkPreview" -A8 apps/web/src/components/ResultCard.tsx; rg -n "SearchOrigin" -A8 apps/web/src/types/places.ts | head -12; sed -n 75,95p apps/web/src/App.tsx I'm thinking through how recent places handle origin labels—when the origin is "your location," the GPS resolves similarly to Google's behavior, and for the city label I should use the resolved label like "Seoul" rather than the raw HERE placeholder. For Ddareungi station names like "102. 망원역 1번출구 앞", I need to strip the leading number and period since Google Maps can't resolve those directly. I'm writing a utility function that builds a Google Maps directions link by name instead of coordinates since bare coordinates show up as plus codes , handling the case where the trip starts from the user's current location by omitting the start point entirely. I'm thinking through how to format the station and destination text as joined name/area/city strings, and realizing I can just apply the number-stripping regex universally since it's unlikely to clip legitimate place names anyway. I'm weighing the risk that name-only lookups might resolve to the wrong place. Separately, I need to update WalkPreview to accept a directionsHref prop instead of building the directions URL internally, while StoryInput stays as is. Since bike trips are Seoul-only, I don't need to worry about city mismatches there. Now I want to actually test one of these generated URLs against Google Maps, possibly with a headless browser, to confirm the directions inputs render as expected before finalizing the code. I'll strip the leading number from Ddareungi station names since Google can't look them up with that prefix, then update the code so ResultCard and WalkPreview share one link, with App passing the searched city as the start. ~/touch-grass-agent/apps/web/src/utils/directions.ts I'm confirming the bike station waypoint just needs the city label since Google will geocode whatever string it gets, even something like "Jung-gu, Seoul." Now I'll add a start: string | null prop to ResultCard and compute the href once from it. ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx I'm updating the directions URL logic to include the start point and only build the destination URL if a destination actually exists, using a ternary with a safe && check rather than a nested ternary. ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx I'll let WalkPreview take a nullable link instead of passing an empty string. Rather than defaulting to an empty string, I think it's cleaner to type the directions prop as string or null and only render the link when it's actually present, avoiding a fake empty value. ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/components/WalkPreview.tsx ~/touch-grass-agent/apps/web/src/App.tsx bash $ cd ~/touch-grass-agent/apps/web/src && rg -n "originLabel|HERE LABEL" App.tsx | head -3; rg -n "label:" hooks/useRecommendation.ts services/ .ts | head The city name resolves from the search, so I just need to import HERE LABEL to use it. ~/touch-grass-agent/apps/web/src/App.tsx bash $ cd ~/touch-grass-agent && pnpm check:fix /dev/null 2 &1; pnpm typecheck /tmp/tc.log 2 &1; echo "exit $?"; rg -n "error|Found" /tmp/tc.log | head; cd apps/web && npx tsx -e " import { directionsUrl } from './src/utils/directions.ts'; const show = u = console.log decodeURIComponent u.split '?' 1 ; show directionsUrl null, { name: '망원한강공원', lat: 37.55, lon: 126.89, area: '마포구', city: '서울' } ; show directionsUrl '부산', { name: '용두산공원', lat: 35.1, lon: 129.03, area: null, city: '부산' } ; show directionsUrl null, { name: '여의도공원', lat: 37.52, lon: 126.92, area: '영등포구', city: '서울' }, { name: '207. 여의나루역 1번출구 앞', lat: 37.527, lon: 126.93 } ; show directionsUrl null, { name: '102. 망원역 1번출구 앞', lat: 37.55, lon: 126.91 } ; " I'm noting that the tsx file lives in apps/server, so I should run it from there with the proper path, and checking that the i18n utility guards window access for non-browser contexts before trying it. js $ cd ~/touch-grass-agent/apps/server && npx tsx -e " import { directionsUrl } from '../web/src/utils/directions.ts'; const show = u = console.log new URLSearchParams u.split '?' 1 .toString .replace /&/g, ' &' , '\n - ', ...new URLSearchParams u.split '?' 1 .map k,v = k+'='+v .join ' | ' ; show directionsUrl null, { name: '망원한강공원', lat: 37.55, lon: 126.89, area: '마포구', city: '서울' } ; show directionsUrl '부산', { name: '용두산공원', lat: 35.1, lon: 129.03, area: null, city: '부산' } ; show directionsUrl null, { name: '여의도공원', lat: 37.52, lon: 126.92, area: '영등포구', city: '서울' }, { name: '207. 여의나루역 1번출구 앞', lat: 37.527, lon: 126.93 } ; show directionsUrl null, { name: '102. 망원역 1번출구 앞', lat: 37.55, lon: 126.91 } ; " 2 &1 | rg -- '- ' The links read well. Next I'll check real place data from the server: names, districts, and cities for Seoul and London. I should check what the actual Nominatim API returns for Seoul locations—field names, naming conventions, language formatting—by running a real curl request with Seoul coordinates and inspecting the response, even for a nighttime "stay" scenario where a place is still returned. bash $ cd /tmp && for loc in "37.5563,126.9220" "37.5172,127.0473" "51.5079,-0.1281"; do curl -s -m 90 -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":${loc%, },\"lon\":${loc ,},\"availableMinutes\":60,\"preferences\":null}" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log r.recommendation.verdict, JSON.stringify r.place && {name:r.place.name,area:r.place.area,city:r.place.city} , r.bikeStation?.name ?? '' } "; done Names can come back in English "Wau Children's Park" or Korean "삼성목련공원" . I'll open the new links in headless Chrome and check that Google finds the right places. I'm wondering if searching "Wau Children's Park, Mapo-gu, Seoul" on Google would actually resolve to the Korean place name, or if the text search might fail to find the right location. I'm considering testing with Google Maps directly in headless mode to see if it loads properly and handles the search without unexpected consent screens, since Korea likely doesn't trigger those. /tmp/tg-shots/gmaps.mjs bash $ cd /tmp/tg-shots && timeout 200 node gmaps.mjs 2 &1 | tail -20 I'm checking location accuracy — the park name "삼성목련공원" actually refers to a different park than 대치목련공원, so that one's wrong. Now I'm looking at the College Green entry next. "College Green, Millbank" actually points to City of Westminster College in Paddington instead, so name-only lookups aren't reliable. I'm thinking I need to pair coordinates with names, maybe using the old "Name@lat,lng" syntax in maps URLs or biasing text search with a viewport parameter to get the correct place to resolve. For the two failing locations, I want to try a couple of URL formats that embed explicit coordinates alongside the name, but I need the actual lat/lon for College Green and the other location first — so I should rerun the lookup to pull those coordinates before testing. Two of the three name searches led to the wrong location, so name alone isn't reliable. I'll get the actual coordinates for those places next, then test ways to pass both name and coordinates to Google. bash $ cd /tmp && for loc in "37.5172,127.0473" "51.5079,-0.1281"; do curl -s -m 90 -X POST localhost:8787/api/recommend -H 'content-type: application/json' -d "{\"lat\":${loc%, },\"lon\":${loc ,},\"availableMinutes\":60,\"preferences\":null}" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log JSON.stringify r.place && {name:r.place.name,lat:r.place.lat,lon:r.place.lon} , JSON.stringify r.route?.destinationOnPath } "; done /tmp/tg-shots/gmaps2.mjs bash $ cd /tmp/tg-shots && timeout 240 node gmaps2.mjs 2 &1 | tail -30 Neither approach reliably works—coordinate-based URLs can snap to the wrong nearby landmark, and viewport paths don't fix that either. Without a Google place id, which requires the paid Places API, I can't guarantee both a correct label and accurate location, so my realistic options are limited to something like name-plus-area text, which stays readable but risks occasional mismatches. I should lay out clear options for the user: recommend Kakao Map with names in Korea plus Google with coordinates abroad, versus using names everywhere on Google risky, since two of three tests picked the wrong place , versus just reverting to plain coordinates. I should also double check whether Google actually supports walking directions in Seoul by looking at that earlier screenshot before asserting it doesn't. Neither form works—Google returns a nearby landmark/plus code or the wrong place entirely. I'll check the screenshot to see if it gave a walking route in Seoul at all. /tmp/tg-shots/gmaps-0.png Confirmed that Google shows "현재 제공 중인 도보 경로 검색 서비스 범위를 벗어난 검색입니다" with walk/car/bike options greyed out, leaving only transit as an option—Google simply can't provide walking directions in Korea at all. This is solid evidence to bring back to the user, even though the headless geolocation setup wasn't quite applied correctly. The core issue is that Google Maps doesn't support walking/driving directions in Seoul only transit , and none of the name/coordinate combinations reliably show both the correct label and exact location without a paid API key. Kakao Map's link format handles this correctly with real walking/cycling routes, so I'll use that instead. {"questions": {"question":"Google Maps can't do walking routes in Korea, and can't show a name at exact coordinates. What should the directions button do? / 구글맵은 국내 도보 길찾기가 안 되고, 정확한 좌표에 이름을 붙일 수도 없어요... My answer to the multiple-choice question Picked: Recommended Korea: Kakao Map with names and exact spots, walking and cycling routes. Abroad: Google Maps with names. You picked Kakao Map in Korea and Google Maps elsewhere. I'll check whether the code already has a way to tell if a place is in Korea. I'm thinking about how to detect "in Korea" for using Kakao maps — probably checking if destination coordinates fall within South Korea's rough bounding box, though that box might loosely overlap parts of North Korea or Japan too. ?i korea|inSeoul|isSeoul|SEOUL BOUNDS|countryCode|country code ~/touch-grass-agent/apps ~/touch-grass-agent/apps/server/src/conditions/bikes.ts I'm narrowing the Korea bounding box to stay under latitude 38.62 so it excludes North Korea while still covering Kaesong-area edge cases, since realistically no one's using this app from the North. Then I'm checking Japan's Tsushima island falls within a tight longitude/latitude box too. Now I'm realizing a single rectangle for South Korea either misses Jeju or accidentally includes Fukuoka in Japan, so I'm splitting it into separate boxes for the mainland and Jeju, tuning the longitude cutoff to around 129.6 so Busan, Ulsan, and Pohang's coastal points stay included while excluding most of Kyushu, accepting that Tsushima overlaps slightly as a minor tradeoff. I also need to exclude Japan's mainland Shimonoseki at 130.9 and account for southern North Korea falling within the latitude range, which is fine since nobody's walking from there. I'm adding separate boxes for Jeju and Ulleungdo/Dokdo, keeping comments minimal, and deciding that the destination point determines which country's logic applies since starting abroad would make a walking trip impossible anyway. Now I'm constructing the Kakao Maps URL. For the start point, I'll use GPS coordinates labeled "My location" localized when starting from current position, or city-center coordinates labeled with the city name otherwise—consistent with how the app already builds its route map. For biking, the format just swaps in bicycle mode for both legs. One issue I need to watch for: location names containing commas or slashes could break Kakao's path format since only the bare name is passed without area context. I should strip station number prefixes and replace commas/slashes with spaces in names to avoid breaking Kakao's parsing after decoding, since Google Maps abroad keeps full names as chosen. Now I'm restructuring the directions utility, defining a Trip interface with origin coordinates and an optional city field. Finishing the function: it picks Kakao or Google based on whether the destination is in Korea, using the city name or an i18n "My location" fallback as the start label, which recomputes correctly on language switches since it's derived during render. I should also check the README credits for Google Maps mentions in the how-it-works section later. For ResultCard, I'm updating the directions call so the bike station is only passed as a waypoint when an actual place is selected, keeping the destination logic as a single clean ternary rather than nesting conditionals. Writing updated prop usage... Now I'll build it: validate Korea bounds mainland, Jeju, Ulleungdo/Dokdo, excluding Tsushima , construct Kakao map links with start/bike station/destination, label GPS starts as "내 위치"/"My location", and sanitize names by stripping commas/slashes that break the path format. ~/touch-grass-agent/apps/web/src/utils/directions.ts ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/App.tsx directionsUrl\ ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx directions|hereLabel ~/touch-grass-agent/apps/web/src/i18n There's already a hereLabel text "현재 위치" / "your location" , so I'll reuse it instead of adding a new key. I should reuse the existing hereLabel key rather than introduce a new one—it already maps to '현재 위치' in Korean and 'your location' in English, which works fine for Kakao's UI too. ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/utils/directions.ts bash $ cd ~/touch-grass-agent && pnpm check:fix /dev/null 2 &1; pnpm typecheck /tmp/tc.log 2 &1; echo "exit $?"; rg -n "error|Found|nested" /tmp/tc.log | head; cd apps/server && npx tsx -e " import { directionsUrl } from '../web/src/utils/directions.ts'; const here = { lat: 37.5563, lon: 126.922 }; const cases = 'seoul walk from GPS', { origin: here, startCity: null, destination: { name: \"Wau Children's Park\", lat: 37.5527, lon: 126.9246, area: 'Mapo-gu', city: 'Seoul' }, bikeStation: null } , 'seoul bike', { origin: here, startCity: null, destination: { name: '여의도공원', lat: 37.5257, lon: 126.9226, area: '영등포구', city: '서울' }, bikeStation: { name: '207. 여의나루역 1번출구 앞', lat: 37.527, lon: 126.93 } } , 'busan from city', { origin: { lat: 35.1796, lon: 129.0756 }, startCity: '부산', destination: { name: '용두산공원', lat: 35.1007, lon: 129.0323, area: null, city: '부산' }, bikeStation: null } , 'jeju', { origin: { lat: 33.5, lon: 126.53 }, startCity: null, destination: { name: 'A, B/C', lat: 33.5, lon: 126.53 }, bikeStation: null } , 'ulleungdo', { origin: { lat: 37.48, lon: 130.9 }, startCity: null, destination: { name: 'X', lat: 37.48, lon: 130.9 }, bikeStation: null } , 'tsushima', { origin: { lat: 34.2, lon: 129.29 }, startCity: null, destination: { name: 'Izuhara', lat: 34.2, lon: 129.29 }, bikeStation: null } , 'fukuoka', { origin: { lat: 33.59, lon: 130.4 }, startCity: 'Fukuoka', destination: { name: 'Ohori Park', lat: 33.586, lon: 130.376, area: 'Chuo', city: 'Fukuoka' }, bikeStation: null } , 'london', { origin: { lat: 51.5079, lon: -0.1281 }, startCity: null, destination: { name: 'College Green', lat: 51.498, lon: -0.126, area: 'Millbank', city: 'City of Westminster' }, bikeStation: null } , ; for const label, trip of cases console.log label.padEnd 20 , decodeURIComponent directionsUrl trip ; " 2 &1 | tail -12 Typecheck passes, and the Wau Children's Park label should come through fine since it's an OSM place name in English, with the location itself being accurate. Now I want to verify the Kakao links actually render with proper names on mobile, so I'll load the map.kakao.com link with an iPhone user agent and check the rendered text. Typecheck passes and links resolve correctly for all stops Seoul, Busan, Jeju, Ulleungdo, Tsushima, Fukuoka, London . Now I'll open the Kakao links in headless Chrome at phone size to verify names and the walking route. /tmp/tg-shots/kakao.mjs bash $ cd /tmp/tg-shots && timeout 120 node kakao.mjs 2 &1 | tail -10 On mobile, Kakao redirects to an app-install interstitial with names, coordinates, and the via stop preserved — I need to click "설치없이 지도보기" to view the actual web route. Kakao shows an install-or-web choice on mobile, with all location names and coordinates preserved. I'll tap "설치없이 지도보기" to view the route without installing. /tmp/tg-shots/kakao.mjs bash $ cd /tmp/tg-shots && timeout 120 node kakao.mjs 2 &1 | tail -10 The tap started a page change and broke the script. I'll read that link's address and open it directly instead. This is probably navigation-related, so instead of simulating a tap, I'll just read the link's href directly and navigate to it. /tmp/tg-shots/kakao.mjs bash $ cd /tmp/tg-shots && timeout 150 node kakao.mjs 2 &1 | rg -v "^\s+at " | tail -14 That link's address is just the home page, so the real page change happens in JavaScript. I'll click it in the page and wait for the page to change. The anchor just links to map.kakao.com, but the real behavior is likely a JS onclick that redirects to the mobile map route since there's no app on iPhone. I'll try triggering the click via page evaluation and wait for the navigation to complete. /tmp/tg-shots/kakao.mjs bash $ cd /tmp/tg-shots && timeout 150 node kakao.mjs 2 &1 | rg -v "^\s+at " | tail -14 Walking directions work fine, showing a 3h56m route. But the bike route redirected to car directions on mobile web—likely because mobile web doesn't support bicycle mode combined with a waypoint. I should check whether the Kakao app's deep link actually includes the bicycle parameter, and test whether mobile web supports a simple two-point bicycle route without a waypoint. 도보 링크는 "출발지 현재 위치 → 도착지 삼성목련공원" 경로로 정상 동작했지만, 자전거 링크는 모바일 사이트에서 자동차 경로로 열렸습니다. 경유지 역 설정 때문에 자전거 모드가 유실되는지 확인해보겠습니다. /tmp/tg-shots/kakao-bike.mjs bash $ cd /tmp/tg-shots && timeout 150 node kakao-bike.mjs 2 &1 | rg -v "^\s+at " | tail -14 The app link works fine with bicycle mode and the via stop, but the mobile web version without the app may not support that combo, and the heavy maps page is likely what's crashing puppeteer. I should test bikeDirect and walkVia separately with fresh, shorter browser sessions. The Kakao app link correctly preserves the bike route, but the website version falls back to a car route. I'll test the remaining variants individually in fresh browsers to avoid the map page crashing. js $ cd /tmp/tg-shots && sed -i '' 's/^const urls = {/const ALL = {/; s/^const browser = await puppeteer.launch/const urls = { process.argv 2 : ALL process.argv 2 };\nconst browser = await puppeteer.launch/' kakao-bike.mjs && for v in bikeDirect walkVia; do timeout 60 node kakao-bike.mjs $v 2 &1 | rg -v "^\s+at |Error|Node.js|^\s $|\^|file://|cause|^\}" ; done Mobile web seems to default bicycle routing to the car route since Kakao's mobile site doesn't have a dedicated bike action, whereas the native app handles it correctly—so for bike trips, the app result is accurate while the web fallback just shows the car route with the right stops, and users would need to tap the bicycle tab manually. I'll accept this limitation and document it in the how-it-works section rather than add complexity, then double-check the README for any outdated "Google Maps" references before finalizing. Kakao's website always opens bike links as car routes switchable to the bike tab , while the app handles them correctly—this is a Kakao limitation I'll note in the docs. Now I'll update the docs that mention Google Maps. bash $ cd ~/touch-grass-agent && rg -n -i "google maps|directions" README.md docs/how-it-works.md ~/touch-grass-agent/docs/how-it-works.md ~/touch-grass-agent/docs/how-it-works.md bash $ cd ~/touch-grass-agent && rg -n -i "credits" -A12 README.md | head -20 I'm checking whether directions links need credit attribution, since Google Maps wasn't credited earlier—I should look at the README's "How it works" section to see if it mentions directions functionality. bash $ cd ~/touch-grass-agent && rg -n "^ |^- " README.md | sed -n 1,60p ~/touch-grass-agent/README.md I should add a short line to the README explaining that the button opens Kakao Map in Korea since Google Maps lacks walking directions there and Google Maps elsewhere, by place name. I'm also noting a privacy consideration: tapping now sends the user's GPS coordinates to Kakao in the URL, whereas previously Google Maps used the phone's own location without that data being shared externally — so this introduces a new data flow to a new third party worth flagging. ~/touch-grass-agent/README.md ~/touch-grass-agent/docs/how-it-works.md Next I'll rebuild the phone version and check the link from the real app for Seoul and London. I should rebuild and test this end-to-end in the app itself: checking that a Seoul GPS location links to Kakao while London links to Google. I'll simplify directions.mjs to just print the href, then restart the phone to verify. bash $ cd ~/touch-grass-agent && for i in 1 2 3 4; do pids= ${ f "$ lsof -ti tcp:8787 -ti tcp:4173 2 /dev/null "} ; -z "${pids 1 }" && break; kill ${pids @ }; sleep 1; done; lsof -ti tcp:8787 -ti tcp:4173 || echo "ports free" bash $ cd ~/touch-grass-agent && pnpm phone While it builds, I'll change the test so the location comes from an environment variable. /tmp/tg-shots/directions.mjs bash $ sleep 25; curl -s -m 3 localhost:8787/api/health; curl -s -m 3 -o /dev/null -w ' web %{http code}\n' http://127.0.0.1:4173; cd /tmp/tg-shots && for at in 37.5563,126.9220 51.5079,-0.1281; do AT=$at timeout 150 node directions.mjs 2 &1 | rg "href|text|tap result"; done I'm checking the Seoul Kakao route for "현재 위치 → 윗잔다리어린이공원" and the London Google route by name, confirming the walk preview's directions link shares the same prop so it should work without a full render check. I'll also verify the Google London stops include Leicester Square, Covent Garden, and City areas. Good enough—ready to commit and rerun pnpm check after updating docs. Confirmed the Seoul link opens Kakao Map for a walking route and the London link opens Google Maps to Leicester Square/Covent Garden. Now I'll rerun the checks and commit. bash $ cd ~/touch-grass-agent && pnpm check:fix /dev/null 2 &1; pnpm typecheck /tmp/tc.log 2 &1; echo "typecheck exit $?"; rg -n "Found|nested" /tmp/tc.log; git add -A && git status --short && git commit -q -m "fix: name directions stops, Kakao Map in Korea" -m "- Google Maps showed bare coordinates as plus codes and has no walking routes in Korea - Open Kakao Map for places in Korea with each stop's name and exact spot - Use place names and the searched city as the start on Google Maps elsewhere - Share one directions link between the result card and the walk preview - Describe the directions button in README and docs/how-it-works.md" && git push -q && git log --oneline -1 && git rev-parse HEAD .git/readme-checked The directions button now shows real names for the start and the destination instead of a plus code like 8Q98FXH5+WRF . For places in Korea it opens Kakao Map; elsewhere it opens Google Maps by name. I tested it in the real app for Seoul and London. It's committed and pushed as 40032c2 , and pnpm phone is running the new build, so reload https://my-mac.tailnet.ts.net https://my-mac.tailnet.ts.net on your phone and try it. Why I couldn't just fix the names in Google Maps - Google Maps doesn't give walking routes in Korea at all. In Seoul it said "현재 제공 중인 도보 경로 검색 서비스 범위를 벗어난 검색입니다" walking directions aren't offered here , and only transit worked. - Google can't show a name at an exact spot, so the old coordinate link always showed a plus code. - A name alone is unreliable. "삼성목련공원" opened 대치목련공원, a different park, and London's "College Green" opened a college in Paddington. - Sending the name and the coordinates together didn't work either: Google showed a plus code or a nearby landmark. What the button does now - In Korea: Kakao Map with the start "현재 위치", or the city you typed , the bike station on a ride, and the place, each by name and exact spot. In my Seoul test it showed "현재 위치 → 윗잔다리어린이공원" with a walking route. - Elsewhere: Google Maps with the place's name, district, and city. If you typed a city, that city is the start; otherwise Google starts from your phone's location. - The result card and the walk preview now use the same link. - Tapping the button in Korea sends your start coordinates to Kakao. I wrote this in docs/how-it-works.md and added a line to the README.md . Limits - Bike rides without the Kakao Map app: Kakao's mobile website opens a bike link as a car route, with the right stops. You can switch to the bike tab there. The Kakao Map app opens the bike route correctly. This is Kakao's limit. - Outside Korea: searching by name can still pick the wrong place when a name is common. Google needs a paid Places API key to be exact, so I didn't add it. 이제 길찾기 버튼에 8Q98FXH5+WRF 같은 플러스 코드 대신 출발지와 도착지 이름이 제대로 나와요. 국내 장소는 카카오맵으로, 해외는 구글맵에 이름으로 열려요. 실제 앱에서 서울과 런던으로 확인했어요. 40032c2 로 커밋하고 푸시했고, pnpm phone 도 새 빌드로 돌아가고 있으니 폰에서 https://my-mac.tailnet.ts.net https://my-mac.tailnet.ts.net 을 새로고침한 뒤 눌러 보세요. 구글맵에서 이름만 고칠 수 없었던 이유 - 구글맵은 국내에서 도보 길찾기를 아예 안 해줘요. 서울에서 "현재 제공 중인 도보 경로 검색 서비스 범위를 벗어난 검색입니다"라고 나오고, 대중교통만 됐어요. - 구글은 정확한 위치에 이름을 붙여 보여줄 수 없어서, 예전 좌표 링크는 늘 플러스 코드로 나왔어요. - 이름만 보내면 믿기 어려워요. "삼성목련공원"은 다른 공원인 대치목련공원으로, 런던 "College Green"은 패딩턴의 대학으로 열렸어요. - 이름과 좌표를 같이 보내도 안 됐어요. 플러스 코드나 근처 다른 장소가 나왔어요. 지금 버튼이 하는 일 - 국내: 카카오맵에 출발지 "현재 위치", 또는 입력한 도시 , 자전거일 때 대여소, 도착지를 이름과 정확한 위치로 넣어요. 서울 테스트에서 "현재 위치 → 윗잔다리어린이공원" 도보 경로가 나왔어요. - 해외: 구글맵에 장소 이름, 구, 도시를 넣어요. 도시를 입력했으면 그 도시가 출발지이고, 아니면 구글이 폰 위치에서 시작해요. - 결과 카드와 산책 미리보기가 이제 같은 링크를 써요. - 국내에서 버튼을 누르면 출발 좌표가 카카오로 가요. 이 내용을 docs/how-it-works.md 에 적고 README.md 에 한 줄 추가했어요. 한계 - 카카오맵 앱 없이 자전거: 카카오 모바일 웹은 자전거 링크를 자동차 경로로 열어요. 경유지는 맞게 들어가니 거기서 자전거 탭을 누르면 돼요. 카카오맵 앱에서는 자전거 경로가 제대로 열려요. 카카오 쪽 한계예요. - 해외: 흔한 이름은 이름 검색이 다른 곳을 고를 수 있어요. 정확하게 하려면 유료 Places API 키가 필요해서 넣지 않았어요. Good, the subject line fits within 46 characters, so I'll finalize the answer in both languages. 왜 출발지에 현재 위치로 적어? Translation Why does it write "current location" 현재 위치 as the start? When you start from your own location, the app only has your coordinates and no place name, so I labeled it "현재 위치". I'll look up the address name for those coordinates through the Nominatim service the server already uses, and put that name on the link instead. First I'll check the existing Nominatim code. The "현재 위치" label appears because GPS coordinates have no inherent name—I should instead reverse geocode the origin point via Nominatim to show an actual place name like "서울 마포구 서교동" instead of a generic label. Since coordinates already go through Nominatim for park searches, adding a reverse geocode call here stays within existing scope rather than introducing a new service. I'll just implement this on the server side, adding an originName to the recommend response, and need to check the existing Nominatim geocoding code location. bash $ cd ~/touch-grass-agent/apps/server/src && ls conditions; rg -n "nominatim|reverse|export async ?function" conditions/places.ts conditions/city .ts 2 /dev/null | head -30; rg -n "origin" schema.ts recommend.ts | head -20 bash $ cd ~/touch-grass-agent/apps/server/src && rg -n "nominatim|NOMINATIM|export async ?function|cached\ |USER AGENT|accept-language|addressdetails|function placeArea|address\." conditions/places.ts | head -40; rg -n "app\. get|post " index.ts | head; rg -n "geocode|city" index.ts | head ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/index.ts I'm weighing whether to add reverse geocoding to the recommend response itself versus having the client fetch the origin name separately. Adding it server-side risks slowing things down due to Nominatim rate limits, so I'm leaning toward resolving it client-side in ResultCard, falling back to the hereLabel until the name resolves. For the actual geocode lookup, I'm figuring out how to format a readable Korean label—preferring a POI name, then road plus house number, then neighborhood—and deciding this only matters for GPS starts within Korea since Kakao benefits from Korean labels while Google elsewhere doesn't need the origin name at all. I'll build a small /api/place-name endpoint with rounded-coordinate caching to avoid redundant lookups. bash $ for p in "37.5563,126.9220" "37.5172,127.0473" "35.1796,129.0756" "37.4979,127.0276"; do curl -s -m 10 -H 'User-Agent: touch-grass-agent/0.1' -H 'Accept-Language: ko,en' "https://nominatim.openstreetmap.org/reverse?lat=${p%, }&lon=${p ,}&format=jsonv2&zoom=18&addressdetails=1" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = {const r=JSON.parse s ;console.log JSON.stringify {name:r.name,type:r.type,address:r.address} } "; sleep 1.2; done POI names like restaurant titles can be misleading due to GPS accuracy, so road addresses are more reliable—combining borough, road, and house number like "마포구 월드컵북로2길 11" or using suburb names like "서교동" instead. I'm planning a new streetAddress function that reverse-geocodes coordinates into a short Korean address, falling back to suburb/borough when no road is available. I need a separate cache for addresses keyed by rounded coordinates, a generalized Nominatim fetcher that accepts a language parameter using 'ko,en' for Korean addresses , and a new API endpoint to expose this. On the web side, I'm thinking through how to wire this into ResultCard: fetching the street address when there's no known start city and the destination is in Korea, exporting an inKorea helper from the directions utility, and passing both startCity and startAddress fields through to the trip object so Kakao links can prefer city, then address, then a generic "here" label — while Google links just use the city. I'm leaning toward putting this fetch logic in a new useStreetAddress hook, following the existing patterns in the API service file. Nominatim can resolve your coordinates into a proper street address district + road + house number instead of a nearby shop name. I'll check the API client and schema patterns before implementing this. bash $ cd ~/touch-grass-agent/apps && cat web/src/services/api.ts; rg -n "latLon|z\.object|export const" server/src/schema.ts | head -20; ls web/src/hooks Next I'll add the server side: a reverse-lookup function in places.ts with a day-long cache and Korean names, a schema, and the /api/street-address endpoint. I'm editing the places.ts server file to update its logic. ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/conditions/places.ts ~/touch-grass-agent/apps/server/src/schema.ts ~/touch-grass-agent/apps/server/src/cache.ts Now the schema and the endpoint: ~/touch-grass-agent/apps/server/src/schema.ts ~/touch-grass-agent/apps/server/src/index.ts ~/touch-grass-agent/apps/server/src/index.ts Next is the web side: an API call, a small hook, and the start address in the directions link. I'm mapping out the web-side pieces involved: the API function to fetch street addresses, a corresponding hook, the result card component, and the directions utility that handles the starting address. ~/touch-grass-agent/apps/web/src/services/api.ts ~/touch-grass-agent/apps/web/src/hooks/useStreetAddress.ts ~/touch-grass-agent/apps/web/src/utils/directions.ts ~/touch-grass-agent/apps/web/src/utils/directions.ts ~/touch-grass-agent/apps/web/src/utils/directions.ts In ResultCard I need to compute a street address lookup only when it's a Go-type trip with a Korean destination but no start city, using origin from the result object. Since ResultCard has no early returns, I can safely insert this hook call right after the destination variable is defined. ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx ~/touch-grass-agent/apps/web/src/components/ResultCard.tsx bash $ cd ~/touch-grass-agent && pnpm check:fix /dev/null 2 &1; pnpm typecheck /tmp/tc.log 2 &1; echo "typecheck exit $?"; rg -n "error|Found|nested" /tmp/tc.log | head; cd apps/server && npx tsx -e " import { streetAddress } from './src/conditions/places.ts'; for const p of 37.5563,126.922 , 37.5172,127.0473 , 35.1796,129.0756 , 37.4979,127.0276 , 33.4996,126.5312 , 37.5563,126.922 { const t = Date.now ; console.log await streetAddress { lat: p 0 , lon: p 1 } , Date.now - t, 'ms' ; }" js $ cd ~/touch-grass-agent/apps/server && npx tsx -e " import { streetAddress } from './src/conditions/places.ts'; async = { for const p of 37.5563,126.922 , 37.5172,127.0473 , 35.1796,129.0756 , 37.4979,127.0276 , 33.4996,126.5312 , 37.6,127.3 , 37.5563,126.922 { const t = Date.now ; console.log await streetAddress { lat: p 0 , lon: p 1 } , Date.now - t, 'ms' ; }} " For Jeju, the address resolution falls back to suburb-level since borough is missing there, which gives a reasonable result like "이도2동 광양9길 10". The rural case without a road also checks out fine, and cache hits are instant. Now I'm ready to restart the phone and run the end-to-end test. Addresses resolved correctly across Seoul, Jeju, and a rural area with no nearby road, and cached lookups worked as expected. Next I'll rebuild and test this in the real app. bash $ cd ~/touch-grass-agent && for i in 1 2 3 4; do pids= ${ f "$ lsof -ti tcp:8787 -ti tcp:4173 2 /dev/null "} ; -z "${pids 1 }" && break; kill ${pids @ }; sleep 1; done; lsof -ti tcp:8787 -ti tcp:4173 || echo "ports free" bash $ cd ~/touch-grass-agent && pnpm phone bash $ sleep 25; curl -s -m 3 localhost:8787/api/health; echo; curl -s -m 10 'localhost:8787/api/street-address?lat=37.5563&lon=126.922'; echo; curl -s -m 5 'localhost:8787/api/street-address?lat=abc&lon=1'; echo; cd /tmp/tg-shots && AT=37.5563,126.9220 timeout 150 node directions.mjs 2 &1 | rg "href|text|tap result" | node -e "let s='';process.stdin.on 'data',d= s+=d .on 'end', = console.log decodeURIComponent s " In the real app, Kakao now shows "출발지 마포구 월드컵북로2길 11 → 도착지 윗잔다리어린이공원", and a bad request gets a 400 error. Next I'll update the docs. That seems fine — London correctly skips the street-address request since privacy settings block it, and passing null to useStreetAddress means no fetch happens at all. I should also update the how-it-works docs with a paragraph explaining this direction logic. ~/touch-grass-agent/docs/how-it-works.md ~/touch-grass-agent/README.md bash $ cd ~/touch-grass-agent && pnpm check /dev/null 2 &1; echo "check exit $?"; git add -A && git status --short && git commit -q -m "update: name the Kakao start by street address" -m "- Look up a short street address of the person's location via Nominatim - Add /api/street-address with a day-long cache per ~11 m point - Use it as the start name on Kakao Map instead of \"현재 위치\" - Only look it up for places in Korea - Describe it in README and docs/how-it-works.md" && git push -q && git log --oneline -1 && git rev-parse HEAD .git/readme-checked I should also update AGENTS.md's hooks listing to mention the new hook for accuracy, since it documents where things are located — a small docs fix I'll include in the commit. ~/touch-grass-agent/AGENTS.md bash $ cd ~/touch-grass-agent && git commit -qam "docs: list useStreetAddress in AGENTS.md" -m "- Add the new hook to the hooks folder list" && git push -q && git log --oneline -1 && git rev-parse HEAD .git/readme-checked It said "현재 위치" because when you start from your own location, the app only had your GPS coordinates and no name for that spot. Now the start shows your street address. In the real app, Kakao Map showed " 마포구 월드컵북로2길 11 → 윗잔다리어린이공원" as a walking route. Reload the phone page to get it. How it works now - The server looks up a short address for your coordinates through Nominatim, which it already uses for park searches. The format is district, road, and house number. - I didn't use the nearest shop name for example "홍대 순대국" , because it would look as if you were inside that shop. - Where there's no road nearby, it shows a wider area name like "남양주시". - While the address is still loading, or if none is found, the start stays "현재 위치". The pin itself was always at your exact location; only the label changed. - If you typed a city, the start is that city name, as before. - The address is looked up only for places in Korea. Google Maps abroad starts from your phone's location on its own, so the app doesn't send your location there. Typecheck and lint pass. A bad request returns a 400 error, and repeat lookups for the same spot come from a day-long cache. I updated README.md , docs/how-it-works.md , and the hooks list in AGENTS.md . It's committed and pushed as f261dcc and 449c8ed , and the Entire checkpoints were pushed too. "현재 위치"라고 나온 건, 내 위치에서 출발할 때 앱이 GPS 좌표만 있고 그곳의 이름은 없었기 때문이에요. 이제 출발지에 도로명 주소가 나와요. 실제 앱에서 카카오맵에 " 마포구 월드컵북로2길 11 → 윗잔다리어린이공원" 도보 경로가 나왔어요. 폰에서 새로고침하면 바로 적용돼요. 지금 동작 방식 - 서버가 공원 검색에 이미 쓰는 Nominatim으로 좌표의 짧은 주소를 찾아요. 형식은 구, 도로명, 번지예요. - 가장 가까운 가게 이름 예: "홍대 순대국" 은 쓰지 않았어요. 그 가게 안에 있는 것처럼 보이니까요. - 근처에 도로가 없으면 "남양주시"처럼 더 넓은 지역 이름이 나와요. - 주소를 불러오는 중이거나 찾지 못하면 출발지는 "현재 위치"로 남아요. 핀은 원래부터 정확한 내 위치였고, 이름만 바뀐 거예요. - 도시를 입력했으면 전처럼 그 도시 이름이 출발지예요. - 주소는 국내 장소일 때만 찾아요. 해외에서는 구글맵이 알아서 폰 위치에서 시작하니, 앱이 위치를 보내지 않아요. 타입 검사와 린트는 통과했어요. 잘못된 요청은 400 오류로 막히고, 같은 위치를 다시 찾으면 하루짜리 캐시에서 나와요. README.md , docs/how-it-works.md , AGENTS.md 의 hooks 목록을 고쳤어요. f261dcc , 449c8ed 로 커밋하고 푸시했고, Entire 체크포인트도 같이 푸시됐어요. The code is MIT licensed. Icons are Microsoft's Fluent Emoji https://github.com/microsoft/fluentui-emoji MIT , the glass styling comes from fengshao1227/ccg-workflow https://github.com/fengshao1227/ccg-workflow MIT , and the walk preview's editing follows ideas from OpenMontage https://github.com/calesthio/OpenMontage without copying code. Map data is © OpenStreetMap contributors, weather is from Open-Meteo CC BY 4.0 , and park photos are from Mapillary contributors CC BY-SA 4.0 and Wikimedia Commons. The full list is in the README https://github.com/scs0209/touch-grass-agent credits .