- Ignition: first start: 0/5
- Chassis: car + fuel: 0/4
- Lift and diagnostics: 0/3 — now
- 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: Lift and diagnostics → Diagnostic port scanner
Your machine right now is base camp before the climb. Some gear is already in the pack; some isn't there yet.
Don't picture this as "installed software." Picture a mountaineer crouched at the tent, pulling out carabiners, rope, crampons — checking each item in silence: present / missing / needs replacing.
Run that image in your head: you're at the pack, lifting things out one by one. What's already there? What haven't you spotted yet? What might fail you mid-route?
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.