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jev-lab

moguone/jev-lab

Unofficial small apps for testing TypeSafe AI's Jev System One model.

Evaluation & Benchmarking0.76Runner-up: Calibration & ResearchScorecard
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

An unofficial personal repository of independent small apps under apps/ that run and evaluate TypeSafe AI's Jev System One model, each app exploring a different verification theme. Not affiliated with TypeSafe AI.

How it uses Jev

In maze-runner, Jev adjudicates the chase game's movement direction, comparing Choice batch vs Noul+Score fan-out, latency, and confidence fallback. In twenty-questions, Noul probabilities are used as likelihoods in Bayesian updates to guess an animal, with Score interpreting free answers.

Primitives:choicescorenoul

Technique worth stealing

Using Noul probabilities as likelihoods in Bayesian composition, and comparing against rounding probabilities to 0/1.

Try it

Copy .env.example to .env with TYPESAFE_API_KEY, then follow each app's README to start.

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 material0.95
  • Shows a System One patternFound in material0.93
  • Describes handling uncertaintynot found in the excerpt0.16
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolunclear0.55
  • Top-10 learning shortlist signalunclear0.54
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.37 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.95Shows a System One pattern0.93Describes handling uncertainty0.16Reports measured numbers0.05Is a runnable tool0.55Top-10 learning shortlist signal0.54Is a replica of the model0.0300.51Solves a common problem (0–2)0.37 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.74Check-up0.24Questionnaire0.2100.51

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.