An "Evidence Loop" for steering the agents what to build

Show HN: An "Evidence Loop" for steering the agents what to build

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Fellow builders, my name is Julian - I'm a PhD candidate in Behavioural Science at LSE, where I focus on Human-AI Alignment (specifically the field of Machine Psychology), and we built Dipio AI around a problem I think is becoming more important as coding agents get better: implementation is getting dramatically cheaper, but knowing what is worth building isn't.Dipio applies behavioral science methodologies to AI-led user research, turning evidence from user conversations and behavior into agent-native specs (e.g., spec-kit, etc.). Your coding harness can access them directly through Dipio MCP, or through the platform as an evidence-backed, ready-to-implement feature specs.I wrote more about

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Website: www.dipio.ai