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jev-readout

Arohtea/jev-readout · Homepage

Structured, probability-bearing judgments from Jev, with raw HTTP transparency.

Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A local web tool for developers evaluating TypeSafe AI's Jev model: paste a state, define typed questions, and see each answer with its full probability distribution plus the raw request/response bytes.

How it uses Jev

The Express backend calls the TypeSafe HTTP API directly with a state and a questions object. Jev returns per-question answers with probability distributions; the UI renders noul as a 0→1 probability with a 0.5 midpoint line, choice as selected option plus per-option probabilities, and score as a probability-weighted mean with tier distribution.

Primitives:choicescorenoul

Technique worth stealing

Skip the official SDK and call the HTTP API raw, so the UI shows exactly the bytes sent and received.

Try it

Node.js 20+; npm install, write TYPESAFE_API_KEY and PORT to .env.local, npm start, open localhost:5180.

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 material0.96
  • Shows a System One patternFound in material0.85
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalunclear0.60
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.96Shows a System One pattern0.85Describes handling uncertainty0.05Reports measured numbers0.05Is a runnable tool0.97Top-10 learning shortlist signal0.60Is a replica of the model0.0300.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Grey zone0.9600.51

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 20 Sept 2026.