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jevkit

tegersdorfer-collab/jevkit

Decision kernel for TypeSafe Jev: typed questions, bands, state building, composition.

Automated README summary

Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jevkit is a Python library for developers using TypeSafe Jev. It prepares state, composes typed questions, maps answers to act/confirm/escalate bands, and recalibrates bands from real outcomes, keeping application code in control.

How it uses Jev

Jev answers typed questions (Noul, Choice, Score) with calibrated probabilities. jevkit fans out questions over a shared state, then maps each answer's confidence to a band (act/confirm/escalate) via band() and DEFAULT_BANDS. Code uses bands, extracted choices, and resolved calls to decide actions, confirmations, or escalations.

Primitives:choicescorenoul

Technique worth stealing

Map calibrated probabilities to three confidence bands (act/confirm/escalate) instead of a single threshold, and recalibrate bands from logged outcomes.

Try it

pip install "jevkit @ git+https://github.com/tegersdorfer-collab/jevkit.git@v0.2.2"; set OPENROUTER_API_KEY or TYPESAFE_API_KEY; run the 60-second tour.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.92
  • Shows a System One patternFound in material0.92
  • Describes handling uncertaintynot found in the excerpt0.30
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.71
  • Top-10 learning shortlist signalunclear0.52
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.06 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.92Shows a System One pattern0.92Describes handling uncertainty0.30Reports measured numbers0.05Is a runnable tool0.71Top-10 learning shortlist signal0.52Is a replica of the model0.0400.51Solves a common problem (0–2)1.06 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Traffic light0.98Flight recorder0.97Check-up0.96Scorecard0.95Fail open, fail closed0.92Viewfinder0.78Inspection0.69Menu0.63Prefetch0.60Funnel0.48Grey zone0.44Blind review0.2400.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 17 Oct 2026.