Show HN: Making agent decisions better and traceable

Category: ai-ml

Tags: agent, ai, decision-making, calibration, attribution

Score: 4.7/10 (Innovation: 5, Technical: 4, Documentation: 4, Utility: 5)

Mubit is an agent decision attribution and calibration platform that helps track and improve how AI agents make decisions on a per-user basis. It aims to provide visibility into agent reasoning and allow runtime calibration and model adaptation, targeting power users at scale.

Target audience: AI engineers, data scientists, and backend developers working with AI agents

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