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[ARTICLE · art-137711] src=news.ycombinator.com ↗ pub= topic=ai-agents verified=true sentiment=· neutral

Show HN: Making agent decisions better and traceable

Mubit launched as an agent decision attribution and calibration platform that tracks and adjusts AI agent decisions per user at scale, according to its founder's Show HN post. The platform lets operators view an agent's decisions per user, calibrate them at the runtime and context layer, and adapt them at the model layer, which the founder described as a "decision model farm for all your power customers." The post links to mubit.ai and docs.mubit.ai and had drawn 1 point and 0 comments on Hacker News.

by read1 min views1 publishedSep 23, 2026

Hey all,

I'm building Mubit to help agents make better decisions.

Mubit is an agent decision attribution and calibration platform per user at scale.

Each user's interaction affects the way agents make decisions and they usually get cluttered over time. Mubit helps you see the decisions an agent made (per user), calibrate it (run time / context layer), and adapt it (model layer but think Jev like decision model farm for all your power customers).

Our website is at [https://mubit.ai](https://mubit.ai) and docs at [https://docs.mubit.ai](https://docs.mubit.ai)

Comments URL: [https://news.ycombinator.com/item?id=49810838](https://news.ycombinator.com/item?id=49810838)

Points: 1

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