# A leveled map of 149 GenAI tools — sorted by concept depth, not hype > Source: > Published: 2026-08-20 19:13:52+00:00 Most "AI tools" lists are a wall of 500 links sorted by… nothing. A beginner and a distributed-systems engineer open the same undifferentiated pile and both bounce off it. So I built a different kind of map: **149 GenAI tools sorted by concept depth** — not by how *hard* a tool is, but by how much you need to *understand* to use it well. The trick: **ease of use ≠ concept depth.** ChatGPT is trivial to use, so it's Level 0. FlashAttention is Level 4 — not hard to install, but you need to understand attention and GPU memory to know why it matters. On the map, every tool has exactly two links — 📖 one thing to **read** (a hand-picked, approachable guide) and 🐙 the **code** (repo or homepage). No taxonomy, no noise. Each entry looks like this: Ollama— run open models locally · 📖a beginner's tutorial· 🐙the repo Sorting by depth turns a directory into a *path*: look at your rung, see 10–25 tools instead of 500, pick one — and the reading and the code are right there. It's a searchable single-page app: no signup, no tracking, open source (CC0). 👉 **Browse the map:** [https://maneesh-kumar-thakur.github.io/self-serve-learnings-4-all/](https://maneesh-kumar-thakur.github.io/self-serve-learnings-4-all/) ⭐ **Repo:** [https://github.com/maneesh-kumar-thakur/self-serve-learnings-4-all](https://github.com/maneesh-kumar-thakur/self-serve-learnings-4-all) Feel free to share feedback or if you are looking for help/content on specific topics