What it is
A multimodal UI where users draw on a tldraw canvas by speaking commands while pointing a webcam-tracked finger. It supports English and Ukrainian, and uses Jev to interpret spoken instructions into canvas actions.
How it uses Jev
On every partial or final transcript, Jev answers eight typed questions: is_command, complete, action, shape, color, target, where, size, and text_span. Probabilities are thresholded in code to decide whether and how to create, move, delete, recolor, resize, duplicate, clear, undo, or redo shapes.
Primitives:choicescorenoul
Technique worth stealing
Capture pointing words at speech time with a 3s finger trail and read back 300ms earlier to align words with positions.
Try it
git clone, cp .env.example .env, add OpenRouter key, npm install, npm run dev, open localhost.
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 patternyes0.97
- Handles uncertaintyno0.13
- Measuredunclear0.60
- Runnableyes0.75
- Worth recommendingyes0.70
- Model replicano0.03
- Problem scopescore on a 0–2 scale0.09
- About Jevyes0.99
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.