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awesome-jev

Awesome-llms-labs/awesome-jev

Curated resources for Jev, a decision-only System One model.

Automated README summary

Automatically summarized from the README on 30 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An awesome list for Jev, TypeSafe AI's decision-only model that returns typed decisions with calibrated probabilities instead of text. For developers building production software that needs intelligence software can consume directly.

How it uses Jev

Jev evaluates a state (text or JSON) plus a map of typed questions (Choice, Score, Noul) in one parallel pass. It returns typed values with probabilities and confidence. Your code branches on the answer and uses confidence to decide whether to act or escalate.

Primitives:choicescorenoul

Technique worth stealing

Use confidence as a separate axis from the answer: answer tells what, confidence tells whether to act.

Try it

Run examples with offline --demo mock mode, no key needed. Or use curl with TYPESAFE_API_KEY.

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 material0.90
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.09
  • Is a runnable toolnot found in the excerpt0.38
  • Top-10 learning shortlist signalnot found in the excerpt0.35
  • Is a replica of the modelnot found in the excerpt0.07
  • Solves a common problem (0–2)score on a 0–2 scale1.10 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.95Shows a System One pattern0.90Describes handling uncertainty0.06Reports measured numbers0.09Is a runnable tool0.38Top-10 learning shortlist signal0.35Is a replica of the model0.0700.51Solves a common problem (0–2)1.10 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.99Check-up0.72Inspection0.3000.51

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 30 Sept 2026.