Build the agent yourself.
Interactive lessons for the age of autonomy
The course
You learn what a model actually computes, run one on hardware you own, and then open it up — down to the vector that chooses each word.
8 modules · ~30–40 min each Agent DesignOne written instruction commits a model to your purpose; one file defines a whole team — with memory, live data, and code it can be trusted to write.
9 modules · ~35–45 min each Agent ObservabilityGrade a change over real cases, calibrate the judges that grade them, record every turn, and let the deploy step refuse a regression.
1 module · ~50 min eachTooling
We build open-source instruments alongside the writing, starting with melchizedek, a multi-model, multi-agent orchestration framework — and almost every module of the course studies a living specimen from it.
- The framework is open source; clone it and every lesson's team runs on your machine
- Each module hands you its specimen's verbatim agent definition as a download
- The hands-on track opens on open weights — no account, no meter, no data leaving your desk
the Tutor's first turn — a live local run, compressed
$ npm run syndicate:tutor
Syndicate: Tutor · Orchestrator: Tutor (ollama/qwen3:8b)
you ▸ The stoa was a covered walkway in Greek architecture… — Teach me the key idea in this material.
Tutor ▸ The material connects two things: the physical structure of the Stoa (a covered walkway) and the philosophical school of Stoicism.
What do you think the significance of the Stoa Poikile's location might have been in Zeno's teachings?
module 1.02 replays the full turn, law by law