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awesome-jev-prompts

vicfei/awesome-jev-prompts

Question patterns, anti-patterns, and calibration notes for typed decision models.

Automated README summary

Automatically summarized from the README on 4 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A curated library of question patterns, anti-patterns, and calibration notes for Jev and other System One-compatible engines, aimed at developers designing typed decisions. It covers 63 entries across 10 categories, plus a linter and engine cookbook.

How it uses Jev

The README does not describe a specific runtime use of Jev; it is a reference library of question templates for Choice, Score, and Noul decisions, with threshold and wiring guidance. The quick-start example shows a client sending state and typed questions to the system_one endpoint and reading back choice, probabilities, noul, and score.

Primitives:choicescorenoul

Technique worth stealing

Question design as the portable prompt engineering of typed decisions: split decisions into atomic judgments and let code own composition, thresholds, and side effects.

Try it

Install typesafe-sdk and call client.system_one with state and Choice/Noul/Score questions, as in the quick 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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 projectunclear0.47
  • Shows a System One patternnot found in the excerpt0.17
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.03
  • Is a runnable toolnot found in the excerpt0.23
  • Top-10 learning shortlist signalFound in material0.64
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.06 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.47Shows a System One pattern0.17Describes handling uncertainty0.04Reports measured numbers0.03Is a runnable tool0.23Top-10 learning shortlist signal0.64Is a replica of the model0.0400.51Solves a common problem (0–2)1.06 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Funnel0.94Check-up0.73Ghostwriter0.67Inspection0.24Flight recorder0.23Scorecard0.2100.51

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 4 Nov 2026.