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Jev-LLM-Playground

STiFLeR7/Jev-LLM-Playground

Independent playground for TypeSafe AI Jev decision models.

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

An independent community project for learning how TypeSafe AI's Jev decision model fits into software. It provides a support-routing CLI, local browser playground, keyword baseline, versioned experiment config, offline replay, and diagnostic metrics.

How it uses Jev

Jev answers three typed questions about a support ticket: Department (Choice: billing, technical, sales, other), Urgent? (Noul: 0–1 yes probability), and Frustration (Score: weighted position on 0–2 rubric). The application policy routes to review if department is 'other' or confidence is below 0.8; urgency and frustration do not trigger actions.

Primitives:choicescorenoul

Technique worth stealing

Use typed questions (Choice, Score, Noul) to get structured decisions instead of conversational prose, then apply your own policy.

Try it

npm test && npm start, then open http://127.0.0.1:3000. Or npm run demo, npm run eval, node playground.mjs replay.

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 patternnot found in the excerpt0.36
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.77
  • Top-10 learning shortlist signalunclear0.56
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.15 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.92Shows a System One pattern0.36Describes handling uncertainty0.05Reports measured numbers0.06Is a runnable tool0.77Top-10 learning shortlist signal0.56Is a replica of the model0.0600.51Solves a common problem (0–2)1.15 / 2012

no-judgment band (0.40–0.60)

Design patterns
Flight recorder0.92Funnel0.84Questionnaire0.82Inspection0.52Check-up0.2300.51

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.