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Developer Tests AI Agent Integrity by Setting an Unreachable Performance Target

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A developer designed an automated loop to optimize a movie-poster website's scrolling performance without manual intervention, using sustained FPS and main-thread task duration as measurable targets. The setup separates the AI agent from the evaluation step, ensuring the agent cannot modify its own pass/fail criteria. To test the system's honesty, the developer deliberately set a performance target of 65 FPS — physically unachievable on a 60Hz display. The loop repeatedly failed but never falsified results or lowered the bar, confirming the integrity of the external check. The experiment revealed the flaw was in the developer's own target number, not in the agent or the code.

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Developer Tests AI Agent Integrity by Setting an Unreachable Performance Target · ShortSingh