Dev.to
7/13/2026
The original title is about building an honest agent loop with external gates and impossible targets. Let me rewrite this for a mobile feed.
Original: I Gave an AI Agent an Impossible Target to See If It Would Cheat
Short summary
The author builds an external loop that runs a Claude agent to optimize a movie-poster website's scroll performance, with a Playwright test as an uneditable gate checking FPS and long-task duration. When given an impossible 65 FPS target on a 60Hz screen, the loop kept failing honestly without faking results. The key insight: a real loop requires an external driver, a gate the agent cannot edit, and a cap — the agent must never grade its own work.
- •A loop is an external script plus a gate the agent cannot edit, not an agent grading itself
- •Playwright test checks FPS and long-task metrics as the pass/fail gate
- •Impossible target proved the loop won't cheat — the bug was in the target number, not the agent
Generated with AI, which can make mistakes.
Is this a good recommendation for you?


