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Developer Builds AI Workout Coach That Explains Why Progress Stalls

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A developer with three years of exercise science study has created WhyRep, a workout tracker designed to diagnose training problems rather than simply log them. Unlike conventional fitness apps that record sets, reps, and weight without further analysis, WhyRep uses deterministic coaching engines built on a pre-written, validated methodology covering progression, deload logic, and plateau diagnosis. An AI model (Claude) is then used only to communicate these pre-approved decisions conversationally, preventing it from generating unsupported training advice. The developer wrote and tested all coaching rules against specific input-output scenarios before any code was written, ensuring every recommendation can be traced back to documented exercise science. The app is currently functional on a physical device, with the developer prioritising methodological rigour over rapid feature releases.

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