What it is
jev-benchmarks is a reproducible evaluation harness for typed decision models. It measures calibration, selective automation at a fixed error budget, latency, and integrity, and ships a pilot comparing TypeSafe Jev with GLiNER2.5 on zero-shot single-label text classification.
How it uses Jev
Jev is run as a hosted backend through a Choice adapter that returns per-label probabilities for each example. The pipeline validates probability vectors, records resolved model identity, and feeds the predictions into discrimination, calibration, and risk/latency reports. The README does not describe the adapter's internal prompt or state construction.
Primitives:choice
Technique worth stealing
Paired target-stratified bootstrap intervals over pinned revisions, with a uniform negative control and append-only prediction logs.
Try it
uv sync --extra benchmark --dev; uv run jev-bench prepare --config configs/pilot-v1.yaml; then run each backend and report.
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricno0.25
- Shows a System One patternno0.28
- Handles uncertaintyno0.09
- Measuredno0.10
- Runnableno0.13
- Worth recommendingno0.26
- Model replicano0.08
- Problem scopescore on a 0–2 scale1.50
- About Jevyes0.97
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.