Picture two teams. The first spends a week choosing a model and tweaking training settings. The second spends a week going through its examples: removing duplicates, fixing mixed-up answers, adding rare cases.
Both trained a model on the same hardware.
Whose model do you think will handle the real task better?
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.