What it is
A visual classification demo that selects doodle and flower labels from image pixels using typed Choice questions, with a drawing playground and public evaluation artifacts. For developers exploring Jev-like decision engines.
How it uses Jev
Jev-style adapter maps options to letters, reads answer-letter scores from DiffusionGemma's last active denoising step, and maps them back to labels. Each question is a separate model request; SGLang can batch. Scores compare options, not calibrated probabilities.
Primitives:choicescorenoul
Technique worth stealing
Map options to letters, read answer-letter scores from the last active denoising step, and map back to labels.
Try it
Open http://localhost:8000/#doodle after launching with scripts/launch_diffusiongemma.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-centricyes0.89
- Shows a System One patternunclear0.42
- Handles uncertaintyno0.06
- Measuredno0.16
- Runnableyes0.90
- Worth recommendingno0.30
- Model replicayes0.91
- Problem scopescore on a 0–2 scale0.00
- About Jevyes0.62
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 23 Sept 2026.