- Ignition: first start: 0/5
- Chassis: car + fuel: 0/4
- Lift and diagnostics: 0/3
- Fuel system: model gateway: 0/5
- Navigator: task route: 0/5
- Glovebox: context and memory: 0/4 — now
- 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: Glovebox: context and memory
Picture that session where Claude's answer was completely off — or it "forgot" a detail you'd already given.
Don't frame this as a system failure — picture it as a colleague back from holiday who remembers nothing of the project. No agreements, no context, no sense of why things are the way they are. Present, willing to work — but starting from a blank slate.
Run that session in your head: what exactly went on holiday along with their understanding? What would you need to explain to that colleague first?
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.