Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist

John Lindquist, creator of egghead.io and founder of mega.dev, demonstrated 8 real use cases for Jev, the TypeSafe AI decision model he calls the fastest and cheapest model he has used, on the How I AI podcast. The demos include a real-time voice to-do app, millisecond data deduplication with confidence scores, plain-English-to-function routing, a multi-level app router, a chess match against a low-reasoning LLM with speed and cost benchmarks, a Wikipedia "path to philosophy" route mapper, multi-agent coordination with collision avoidance, and a real-time presentation coach. Lindquist also covered where Jev falls short and when developers should still reach for a full generative model.

John Lindquist created egghead.io, a developer education platform used by hundreds of thousands of working engineers. These days he’s building mega.dev, a hands-on program specifically for developers who want to do real work with AI agents, not just prototype them. Listen or watch on YouTube https://youtu.be/dAIIaepNhQM , Spotify https://open.spotify.com/episode/7y3ZneX90vWwdfBOdFXGwv , or Apple Podcasts https://podcasts.apple.com/us/podcast/jev-8-real-use-cases-for-the-fastest-cheapest-model/id1809663079?i=1000792403834 What you’ll learn: 1. Why Jev is a decision engine, not a chatbot, and what that distinction actually changes about how you build 2. How John built a real-time voice to-do app that classifies and executes commands with no visible pause 3. The data deduplication pattern that merges messy records in milliseconds using confidence scores 4. Why Jev works best as a router, and how a single text input can navigate users deep into an app 5. What a chess match between Jev and a low-reasoning LLM reveals about speed, cost, and when to use which 6. The multi-step classification pattern John reaches for when one Jev pass isn’t enough 7. Where Jev falls short, and when you should still reach for a full generative model Brought to you by: Vanta https://www.vanta.com/howiai —Automate compliance and simplify security In this episode, we cover: 00:00 https://www.youtube.com/watch?v=dAIIaepNhQM John Lindquist returns for Jev week 04:32 https://www.youtube.com/watch?v=dAIIaepNhQM&t=272s What Jev actually outputs 06:15 https://www.youtube.com/watch?v=dAIIaepNhQM&t=375s Demo: real-time voice to-do app 08:17 https://www.youtube.com/watch?v=dAIIaepNhQM&t=497s How sequential Jev calls chain together 10:38 https://www.youtube.com/watch?v=dAIIaepNhQM&t=638s Demo: plain English to function name grocery cart 11:50 https://www.youtube.com/watch?v=dAIIaepNhQM&t=710s Demo: data deduplication and record merging 13:45 https://www.youtube.com/watch?v=dAIIaepNhQM&t=825s Confidence scores and multi-model validation 15:06 https://www.youtube.com/watch?v=dAIIaepNhQM&t=906s Demo: Jev as a multi-level app router 18:23 https://www.youtube.com/watch?v=dAIIaepNhQM&t=1103s Architecting around Jev 19:35 https://www.youtube.com/watch?v=dAIIaepNhQM&t=1175s Demo: Jev vs. traditional LLM at chess speed and cost benchmarks 24:29 https://www.youtube.com/watch?v=dAIIaepNhQM&t=1469s DOM interactions as a decision set, not an infinite canvas 28:21 https://www.youtube.com/watch?v=dAIIaepNhQM&t=1701s&pp=0gcJCWMAwfN6Pr3D Demo: Wikipedia “path to philosophy” route mapper 30:28 https://www.youtube.com/watch?v=dAIIaepNhQM&t=1828s Demo: multi-agent coordination and collision avoidance 33:36 https://www.youtube.com/watch?v=dAIIaepNhQM&t=2016s&pp=0gcJCWMAwfN6Pr3D Demo: real-time presentation coach 36:56 https://www.youtube.com/watch?v=dAIIaepNhQM&t=2216s Quick recap 39:54 https://www.youtube.com/watch?v=dAIIaepNhQM&t=2394s Lightning round and final thoughts Tools referenced: • Jev TypeSafe AI decision model : https://typesafe.ai/blog/introducing-system-one-models-and-jev https://typesafe.ai/blog/introducing-system-one-models-and-jev • Vercel AI Gateway: https://vercel.com/docs/ai-gateway https://vercel.com/docs/ai-gateway • OpenRouter: https://openrouter.ai https://openrouter.ai • Opus 5.5 mentioned in context of iterative demo building : https://www.anthropic.com/claude-opus-5-5 https://www.anthropic.com/claude-opus-5-5 Where to find John Lindquist: LinkedIn: linkedin.com/in/john-lindquist-84230766 http://linkedin.com/in/john-lindquist-84230766 X: https://x.com/johnlindquist https://x.com/johnlindquist Mega.dev: https://mega.dev/ https://mega.dev/ Egghead.io: https://egghead.io/ https://egghead.io/ Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ https://www.chatprd.ai/ Website: https://clairevo.com/ https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ https://www.linkedin.com/in/clairevo/ Production and marketing by https://penname.co/ https://penname.co/ . For inquiries about sponsoring the podcast, email \ email protected\ https://www.lennysnewsletter.com/cdn-cgi/l/email-protection .