- Ignition: first start: 0/5
- Chassis: car + fuel: 0/4 — now
- Lift and diagnostics: 0/3
- Fuel system: model gateway: 0/5
- Navigator: task route: 0/5
- Glovebox: context and memory: 0/4
- Rain sensor and wipers: pipeline: 0/5
- Hitch and roof rack: MCP, Hooks, Skills: 0/6
- Convoy: subagents and orchestration: 0/6
- Road atlas: AI notebook: 0/5
- Dyno: engine tuning: 0/5
- Onboard computer: second brain: 0/5
You're building: Chassis: car + fuel
💡 This course is agent-agnostic. Concepts work with Claude Code, Codex, Hermes (the open-source agent the author uses in Telegram), and the open agents the author ran on the same tasks in an isolated sandbox: goose, OpenCode, Pi, nanobot, CheetahClaws, dsh (DeepSeek), and Unreal Agent. If you work from China or Russia, behind a censorship firewall (the Behind-Firewall stack), or want a sovereign stack on your own hardware (Sovereign) — module 03 ("Stack selection") shows 4 options.
- you build a working thing with your own hands (a bot, a landing page, an automation)
- you learn to write the task for the AI and hold the loop
- you choose a stack that fits you — paid or sovereign
- you walk the path from your first prompt to an agent
- promises of '100k in a week' or income flexing
- filler or rehashing the docs
- a magic 'do-it-for-me' button
- lock-in to a single vendor
No fluff, no hype — an honest exchange: you invest attention, the course gives you skill.
Picture the last time you asked something from AI — and got back something close, but not quite right.
Don't analyze it as a "bad prompt." Instead, picture yourself in a restaurant where the menu is half in a language you only partially know. You guess at words, point at a line, the waiter nods — and brings something adjacent to what you meant. No one's fault. Just an untranslated word sitting between you.
Run that moment in your head: where exactly did the untranslated word sit between your thought and the AI's answer? Catch it — hold it there.
Getting it wrong is fine: it is part of learning. Guessing first helps the answer stick later, and the answer itself comes after the explanation.
Copy your personal prompt and paste it into your agent's learn mode — it picks up your context and takes you forward.
Honestly: with AI it feels like you can do more than you can without it. After practice, check yourself without AI. (Bastani et al., PNAS 2025)
Explains the material using the course method.