What it is
JevForge is an end-to-end toolkit for synthesizing decision data, training calibrated candidate scorers, evaluating them, and serving Jev-compatible inference for interactive web decisions. It is for researchers and developers building structured decision models.
How it uses Jev
JevForge serves a Jev-compatible API that accepts a state and typed questions (choice, noul, score). It expands each question into K candidate rows, scores each with a two-layer GELU scorer, and normalizes the K logits to return a probability distribution over candidates.
Primitives:choicenoulscore
Technique worth stealing
Pool the final valid token, apply a shared two-layer GELU scorer to each candidate, and normalize only the K logits per question.
Try it
bash scripts/run_mac_demo.sh
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-centricyes0.90
- Shows a System One patternunclear0.50
- Handles uncertaintyno0.06
- Measuredno0.23
- Runnableyes0.72
- Worth recommendingunclear0.59
- Model replicayes0.95
- Problem scopescore on a 0–2 scale1.01
- About Jevyes0.97
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.