What it is
A Python library that answers one question about each item in a large pile of text — tickets, reviews, logs, model completions — by packing many items into each Jev request. For queues, not single requests.
How it uses Jev
It sends packed requests to Jev, asking a typed question per item (e.g. "Does this message need a human to act on it today?"). Jev returns calibrated probabilities; the library exposes them as answers with a .yes flag and .item, used to filter or route rows in code.
Primitives:choice
Technique worth stealing
Pack up to 32 items per request so one unit of a request-counted rate limit covers many judgements.
Try it
python demo.py (no key needed); pip install "jev-ultralightspeed[fast]"
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-centricyes0.85
- Shows a System One patternyes0.80
- Handles uncertaintyno0.05
- Measuredyes0.62
- Runnableyes0.82
- Worth recommendingno0.39
- Model replicano0.09
- Problem scopescore on a 0–2 scale1.98
- About Jevyes0.96
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 21 Sept 2026.