jev-calibrate

Name: jev-calibrate
Availability: InStock
Author: smkrv

Jev is the typed-decision model from TypeSafe: it takes a `state` and a set of questions (`noul`, `choice`, `score`) and returns probabilities instead of text. How well a question works depends on its

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Last updated: September 23, 2026

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git clone https://github.com/smkrv/jev-calibrate.git

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jev-calibrate

Jev is the typed-decision model from TypeSafe: it takes a

state

and a set of questions (

noul

choice

score

) and returns probabilities instead of text. How well a question works depends on its wording, on your data and on the threshold you cut at, and none of the three can be read off a single good-looking answer.

Where Jev makes the decision

Jev returns a structured decision for the local program; consult the source for the exact decision policy.

Why it matters

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Claims & evidence

Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: smkrv/jev-calibrate — 31 stars, MIT. Listed by Awesome Jev.

jev-calibrate

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Quick Start

Install Command

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jev-calibrate

Where Jev makes the decision

Why it matters

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About Jev

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