Developer builds yocho.ai to separate AI news facts from hypotheses

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A developer is building yocho.ai, an AI industry intelligence platform designed to keep four distinct layers of information separate: events, entities, relationships, and hypotheses. The system aims to prevent AI-generated interpretations from being mistaken for verified facts, allowing each layer to be updated independently as new evidence emerges. Using a structured flow from source to hypothesis, the platform treats predictions as provisional rather than conclusions. The builder is documenting design decisions and implementation lessons in a public founder build log on yocho.ai. The next planned step is enabling users to compare hypotheses directly against the sources and relationships that support them.

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