Developer Uses LaunchDarkly to Auto-Tune AI Email Replies to Pass Human Detection

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A developer built a reply-drafting AI agent using Claude (claude-haiku) and optimized it to produce human-sounding prose without manual prompt tweaking. The workflow uses LaunchDarkly's agent optimization feature to automatically generate and test prompt variations, keeping only those that perform best. Scoring is handled by GPTZero, an AI-content detector, wired in reverse so the optimizer actively minimizes the probability that a reply reads as AI-generated. The developer chose GPTZero over an LLM-as-judge approach because language models are considered unreliable at evaluating their own output's human-likeness. Each optimization iteration costs roughly $0.002, making a full run affordable, and the method is designed to extend beyond email to any use case requiring external content scoring.

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