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.

Dipio AI launches Evidence Loop system to steer coding agent output decisions from user research 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. Topics Sources - Official Read article https://www.dipio.ai Go deeper This intelligence is sourced automatically from public sources across the web and synthesised by the Prefactor AI pipeline. Stories are reviewed before publication.