Pick a depth. Each prompt opens in your AI pre-loaded with the lesson. Click a row to preview the prompt.
The toy stops being useful when you've extracted everything it can teach. The signal isn't 'I added all the features' — it's 'the next improvement requires a real environment'. At that point the toy has served its purpose; you graduate to production scaffolding (audits, formal verification, mainnet deployment) but you do not extend the toy further. Extending the toy beyond its useful range is one of the most common ways protocol projects die before reaching ship.
Concrete signals it's time to graduate: (1) the next failure mode you want to find requires mainnet conditions you can't simulate; (2) the toy is more complex than the real protocol's first commit; (3) the next change is incremental rather than mechanism-level. When any of these fires, archive the toy and start the real implementation in a fresh repo with real audits and a real deployment plan.