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jev-measured

WallerChen/jev-measured

Measured cost, latency, accuracy of Jev and 12 decision models.

Evaluation & Benchmarking0.88Runner-up: Calibration & ResearchQuestionnaire
Automated README summary

Automatically summarized from the README on 11 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A reproducible benchmark measuring cost, latency, accuracy and raw output of TypeSafe's Jev decision model and twelve other decision models across realistic use cases, for developers evaluating decision APIs.

How it uses Jev

Jev is called via POST /api/alpha/decisions with a state and typed questions (Choice, Score, Noul); it returns calibrated probabilities. The benchmark measures cost, latency, and accuracy of these decisions, and documents response shapes like Score returning probability-weighted rubric indices and Noul lacking a confidence field.

Primitives:choicescorenoul

Technique worth stealing

Measure network floor before quoting latency; use structured output for fair model comparison.

Try it

Run python3 -m bench.headtohead --repeats 5 with your own 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 projectnot found in the excerpt0.33
  • Shows a System One patternnot found in the excerpt0.12
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersunclear0.44
  • Is a runnable toolnot found in the excerpt0.08
  • Top-10 learning shortlist signalnot found in the excerpt0.30
  • Is a replica of the modelnot found in the excerpt0.02
  • Solves a common problem (0–2)score on a 0–2 scale1.17 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.33Shows a System One pattern0.12Describes handling uncertainty0.06Reports measured numbers0.44Is a runnable tool0.08Top-10 learning shortlist signal0.30Is a replica of the model0.0200.51Solves a common problem (0–2)1.17 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Check-up0.60Inspection0.5100.51

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 11 Oct 2026.