What it is
A community-run research lab for TypeSafe's Jev (System One model). It curates official resources, SDKs, and real-world use cases, and provides reproducible benchmarks of Noul, Choice, and Score primitives, confidence gating, fan-out latency, and agent control.
How it uses Jev
Jev turns natural-language state into typed decisions: Noul for yes/no, Choice for selecting an option, and Score for ordered ratings. The lab benchmarks these primitives, measures fan-out latency and confidence-gated escalation, and compares Jev against a deterministic keyword baseline for support routing.
Primitives:choicescorenoul
Technique worth stealing
Gate on the API's confidence, not only the largest answer probability; treat probabilities near 0.5 as uncertainty.
Try it
cp .env.example .env; python3 -m unittest discover -s tests; python3 scripts/evaluate_support.py --run-name support-routing-v1
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-centricyes0.93
- Shows a System One patternyes0.79
- Handles uncertaintyno0.10
- Measuredno0.10
- Runnableno0.11
- Worth recommendingunclear0.53
- Model replicano0.05
- Problem scopescore on a 0–2 scale1.00
- About Jevyes0.98
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 21 Sept 2026.