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Decisions as code on System One models: typed questions, thresholds with hysteresis, nested decisions, journal, calibration
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Dependency-free TypeScript SDK that turns Jev Noul, Choice and Score answers into named decisions: enter/exit thresholds with hysteresis, nested decision trees settled in one call, a JSONL journal, threshold replay without inference and Brier calibration.
User repository on GitHub
Decisions as code on System One models: typed questions, thresholds with hysteresis, nested decisions, journal, calibration
Repo stats from the GitHub API, cached Oct 2026.
A hunch is a probability with a policy attached. huncho makes that a first-class object in TypeScript: ask typed questions of a decision model, apply thresholds that do not flap, nest decisions, journal every one, replay a policy change without inference, and calibrate against what actually happened.
Quoted from the project's README. Read the full README.
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MIT license. Version 0.6.0 predates 1.0 and the repo had 1 star at verification; the PyPI port is announced as next but not yet shipped.
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