Jev typed decisions: an independent guide to choices, scores and calibration

I have put together an independent Jev guide on Coachix for developers evaluating TypeSafe AI’s typed-decision model.

The guide covers Choice, Score and Noul outputs, calibration, benchmark methodology, and the limits to check before using a model for bounded decisions. It separates official claims from published independent evaluations and links to the underlying documentation and papers.

For an agent workflow, the practical question is whether a step needs open-ended text or a decision over a defined set of options. The guide focuses on that distinction and on how to read the evaluation evidence without assuming a benchmark result transfers to your own workflow.

https://coachix.dev/llm/jev/?utm_source=v2ex&utm_medium=referral&utm_campaign=jev-guide

This is a Coachix reference guide, not an official TypeSafe product or a hosted inference endpoint.