jevbooks

← All projects

jeb

wnoronha/jeb

CLI for TypeSafe AI's Jev decision API, built for scripts and agents.

Agent Decisions0.85Runner-up: Infra / SDKs / IntegrationsQuestionnaire
Automated README summary

Automatically summarized from the README on 21 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Rust CLI that sends a state and typed questions to TypeSafe AI's System One (Jev) API and prints calibrated decisions as JSON, for scripts, shell pipelines, and agent tool calls needing fast decisions without a full LLM workflow.

How it uses Jev

The user supplies a state plus questions (choice, noul, score) via stdin, JSON argument, file, or CLI flags. jeb sends them to the Jev model and returns per-question probabilities; with -d it prints only the top decision per question.

Primitives:choicescorenoul

Technique worth stealing

Wrap a non-generative decision model behind a CLI so scripts and agents get typed, calibrated answers instead of free text.

Try it

cargo install --path . ; export TYPESAFE_API_KEY=... ; jeb --state "..." --noul "q:..."

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 material0.77
  • Shows a System One patternnot found in the excerpt0.13
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.20
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.77Shows a System One pattern0.13Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.98Top-10 learning shortlist signal0.20Is a replica of the model0.0300.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.95Blind review0.2000.51

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 21 Oct 2026.