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jev-study

wjdjdakf17/jev-study

Study notes and TypeScript mockups for Jev, the TypeSafe AI System One model.

Classification & Routing0.57Runner-up: Calibration & ResearchFunnelCheck-up
Automated README summary

Automatically summarized from the README on 1 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A personal study repository for Jev, TypeSafe AI's System One model. It contains Korean study notes and TypeScript code that models Jev's typed decisions, confidence-gated routing, and calibration measurement for learners.

How it uses Jev

The repository does not call the real Jev API. Instead, it models Jev's concepts in TypeScript: src/types.ts defines Choice/Score/Noul questions and decisions, src/client.ts provides a deterministic mock DecisionClient, and src/workflow.ts shows confidence-gated routing where probabilities are consumed by if-statements.

Primitives:choicescorenoul

Technique worth stealing

Confidence-gated routing: use calibrated probabilities in if-statements to escalate low-confidence decisions to human review.

Try it

git clone https://github.com/wjdjdakf17/jev-study && cd jev-study && npm install && npm test && npm run example

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 material0.92
  • Describes handling uncertaintynot found in the excerpt0.26
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolnot found in the excerpt0.12
  • Top-10 learning shortlist signalunclear0.40
  • Is a replica of the modelFound in material0.77
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.95Shows a System One pattern0.92Describes handling uncertainty0.26Reports measured numbers0.08Is a runnable tool0.12Top-10 learning shortlist signal0.40Is a replica of the model0.7700.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.89Check-up0.77Grey zone0.57Questionnaire0.40Inspection0.37Scorecard0.2100.51

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 1 Oct 2026.