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jev-code

FrancoisChastel/jev-code

Typed classifier tools for coding agents, backed by Jev.

Agent Decisions0.63Runner-up: Classification & RoutingTraffic light
Automated README summary

Automatically summarized from the README on 8 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jev-code exposes Jev, TypeSafe's System One decision model, as five tools for Claude Code, Codex, Pi, and OpenCode, plus a skill and CLI, so agents can classify, check, score, and rank items with calibrated probabilities.

How it uses Jev

Agents send raw evidence and typed questions (classes, yes/no checks, ordered scales, candidate rankings) to Jev, which returns labels, probabilities, margins, and auto/review decisions computed from overridable thresholds. The agent branches on those decisions instead of eyeballing or burning frontier-model calls.

Primitives:choicescorenoul

Technique worth stealing

Batch every item into one request and let calibrated probabilities plus thresholds drive auto vs. review branching.

Try it

npx -y @french-castle/jev-code@latest setup, then doctor --live

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 material0.79
  • Shows a System One patternFound in material0.62
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.20
  • Is a runnable toolFound in material0.89
  • Top-10 learning shortlist signalnot found in the excerpt0.35
  • Is a replica of the modelnot found in the excerpt0.10
  • Solves a common problem (0–2)score on a 0–2 scale1.88 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.79Shows a System One pattern0.62Describes handling uncertainty0.07Reports measured numbers0.20Is a runnable tool0.89Top-10 learning shortlist signal0.35Is a replica of the model0.1000.51Solves a common problem (0–2)1.88 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.86Questionnaire0.65Menu0.49Grey zone0.48Funnel0.35Ghostwriter0.3000.51

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 8 Oct 2026.