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AI education

From a model to your own agent

Tokens, sampling, memory, senses, then the agent loop. You build each layer before you trust a library.

10 parts · ~47 h

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Lessons

  1. 00Course: from a model to your own agent — index
  2. 01Local models from the ground up — a hands-on course
  3. 02Part 2 — Model internals: feel what happens underneath
  4. 03Part 3 — Control: how to force a local model to obey
  5. 04Part 4 — Memory: RAG and context engineering from scratch
  6. 05Part 5 — Multimodality: an agent that sees, hears and speaks
  7. 06Part 6 — The Agent Loop from Scratch
  8. 07Part 7 — Sandbox, Security and Monitoring
  9. 08Part 8 — Offline optimization: make it fast on your own hardware
  10. 09Part 9 — The open-source tool landscape
  11. 10Part 10 — Hybrid: local model + Claude API