AI agents that argue with each other to improve decisions
SMRTR summary
HATS is a multi-agent AI system where six specialized agents — each representing a different thinking style, like risk analysis, creativity, or fact-checking — actively debate and challenge each other to improve decisions. Unlike standard AI tools that give a single answer, HATS simulates real team dynamics by forcing structured disagreement. It includes animated 3D avatars with voice, a self-managing Kanban board, and supports multiple AI providers.
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