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jev-decision-lab

ito-system/jev-decision-lab

A live demo of Jev, the AI that judges instead of writing.

Automated README summary

Automatically summarized from the README on 6 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A web app for internal study sessions where engineers, QA, and designers experience TypeSafe AI's Jev. It shows one State producing typed judgments and probabilities across three tabs: inquiry triage, QA semantic check, and UX/VoC analysis.

How it uses Jev

Each tab sends one State (e.g. { inquiry: "..." }) with several named questions in a single systemOne call. Jev returns typed answers: choice, noul (YES probability), and score, each with probabilities and confidence. The app displays these values; thresholds and routing are left to code.

Primitives:choicescorenoul

Technique worth stealing

Send multiple typed questions in one systemOne call to get parallel judgments with probabilities from a single state.

Try it

npm install, set TYPESAFE_API_KEY in .env.local, then npm run dev (LIVE) or npm run dev:mock (MOCK).

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 material0.96
  • Shows a System One patternnot found in the excerpt0.30
  • Describes handling uncertaintynot found in the excerpt0.09
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.95
  • Top-10 learning shortlist signalnot found in the excerpt0.37
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale0.03 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.96Shows a System One pattern0.30Describes handling uncertainty0.09Reports measured numbers0.06Is a runnable tool0.95Top-10 learning shortlist signal0.37Is a replica of the model0.0400.51Solves a common problem (0–2)0.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.99Fail open, fail closed0.73Viewfinder0.2700.51

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 6 Oct 2026.