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Dipio AI launches Evidence Loop system to steer coding agent output decisions from user research

Dipio AI, created by LSE PhD candidate Julian, launched the Evidence Loop system to funnel user research directly into coding agents, reducing the time from weeks to minutes before agents ship implementation. The system combines AI interviews, behavioral science diagnosis, and spec-driven development to close the gap between implementation capability and product specification.

read1 min views1 publishedAug 11, 2026
Dipio AI launches Evidence Loop system to steer coding agent output decisions from user research
Image: Getreadyforagents (auto-discovered)

According to Dipio's website, LSE PhD candidate Julian released Dipio AI to close the gap between implementation capability and product specification. The Evidence Loop system uses AI interviews, behavioral science diagnosis, and spec-driven development to funnel user research directly to coding agents, collapsing time from weeks to minutes before agents ship implementation.

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