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jev-cookbook

datawhalechina/jev-cookbook · Homepage

Chinese Jev tutorial: notebooks, recipes, and a knowledge base.

Classification & Routing0.46Runner-up: Agent DecisionsCheck-up
Automated README summary

Automatically summarized from the README on 8 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Chinese-language open-source tutorial and knowledge base for developers, engineers, and students with basic Python skills who want to learn TypeSafe AI's System One judgment model, Jev, through runnable Jupyter Notebooks.

How it uses Jev

The README does not specify which concrete decisions Jev makes in code, on what state, or how results are consumed. It states Jev takes a state and typed questions (Choice / Score / Noul) and returns structured answers with probabilities and confidence, not text generation.

Primitives:choicescorenoul

Technique worth stealing

Ask one atomic question at a time; combine results in code rather than in a prompt.

Try it

Clone the repo, enter main/, run ./setup_env.sh, then open the chapter notebooks.

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 material0.62
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolnot found in the excerpt0.12
  • Top-10 learning shortlist signalFound in material0.78
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.30 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.95Shows a System One pattern0.62Describes handling uncertainty0.06Reports measured numbers0.06Is a runnable tool0.12Top-10 learning shortlist signal0.78Is a replica of the model0.0800.51Solves a common problem (0–2)1.30 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.86Scorecard0.62Funnel0.41Inspection0.23Questionnaire0.2000.51

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 8 Oct 2026.