What it is
An autonomous trading pipeline for Polymarket US, built to study what a System One model is good for inside a real decision system. Research code, not advice; shadow-first, paused, with findings in docs/FINDINGS.md.
How it uses Jev
In the slow lane, Jev triages ~10,000 markets before any LLM spend, answering Noul vetoes, Score tractability, and Choice type questions on a five-field state; code branches on the probabilities. In the fast lane, one Jev request reads a headline against an LLM-written brief to judge direction and magnitude.
Primitives:choicescorenoul
Technique worth stealing
Ask all needed judgments in one Jev call; keep deterministic checks in code; pin the model id and parse strictly.
Try it
python fastlane.py --tags nfl --start-window 6 --minutes 240
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-centricyes0.91
- Shows a System One patternyes0.79
- Handles uncertaintyno0.08
- Measuredno0.10
- Runnableno0.29
- Worth recommendingno0.38
- Model replicano0.04
- Problem scopescore on a 0–2 scale0.72
- About Jevyes0.98
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 23 Sept 2026.