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jev-canvas

gaborishka/jev-canvas

Voice and finger drawing on tldraw canvas with Jev decisions.

Agent Decisions0.67Runner-up: Classification & RoutingQuestionnaireTraffic light
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

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.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.93
  • Shows a System One patternFound in material0.97
  • Describes handling uncertaintynot found in the excerpt0.13
  • Reports measured numbersunclear0.60
  • Is a runnable toolFound in material0.75
  • Top-10 learning shortlist signalFound in material0.70
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale0.09 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.93Shows a System One pattern0.97Describes handling uncertainty0.13Reports measured numbers0.60Is a runnable tool0.75Top-10 learning shortlist signal0.70Is a replica of the model0.0300.51Solves a common problem (0–2)0.09 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Traffic light0.93Menu0.62Inspection0.49Ghostwriter0.44Question bank0.41Funnel0.30Prefetch0.29Fail open, fail closed0.29Scorecard0.25Check-up0.2100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.