What it is
A Chinese patent skill suite for R&D teams and patent engineers: mining patent points, scoring fact completeness, judging legal patent type, and generating disclosure/application documents, OA replies and Obsidian patent maps.
How it uses Jev
patent_intake_gate.py runs a Jev System-1 gate on the raw technical brief. Jev returns a factual completeness score and a patent category (invention/utility model/design). If completeness < 1.5 the script exits with code 2 and emits a missing-fact question list; if >= 1.5 it passes to System-2 LLM drafting.
Primitives:scorechoice
Technique worth stealing
Use a fast typed gate to reject under-specified inputs before spending slow LLM drafting compute.
Try it
pip install -r requirements.txt; export OPENROUTER_API_KEY; python3 examples/demo_jev_intake_comparison.py
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-centricyes0.88
- Shows a System One patternyes0.69
- Handles uncertaintyno0.15
- Measuredno0.23
- Runnableyes0.68
- Worth recommendingno0.34
- Model replicano0.15
- Problem scopescore on a 0–2 scale1.04
- About Jevyes0.93
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.