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CommunityCookbooks & Demos3 starsVerified 2026-09-22

jev-canvas

A tldraw canvas controlled by voice and a webcam-tracked fingertip: every partial transcript triggers one Jev request through OpenRouter's Decisions API that decides the action, shape, colour, and place.

Category
Cookbooks & Demos
Published by
Community
Author
gaborishka
Added
2026-09-22
Tagscommunityjavascriptbrowserdemoopenrouter

Highlights

  • Commands work in English and Ukrainian, switching the recogniser between en-US and uk-UA; it understands one language at a time.
  • Actions cover create, move, delete, recolor, resize, duplicate, clear, and undo/redo, with 12 shape types and the 13 tldraw colours.
  • Speech not addressed to the canvas is ignored: 'what do you want for lunch' scores is_command around 2% and nothing happens.
  • With no camera or microphone, hovering the mouse, pressing /, and typing a command takes exactly the same path as a finished spoken sentence.
  • Pinching a shape and moving your hand drags it directly with no model call, and two commands in one breath both work.

Quickstart

bash
git clone https://github.com/gaborishka/jev-canvas.git
cd jev-canvas
cp .env.example .env   # paste your key after OPENROUTER_API_KEY=
npm install
npm run dev   # open http://127.0.0.1:5183

Watch out

MIT-licensed; needs Chrome or Edge for the Web Speech API, a webcam for pointing, Node 22.12+, and an OpenRouter key with alpha Decisions API access, which rate-limits bursts with HTTP 429.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

LLM-as-a-judge, sped up

Jev has spoken. It picked which model is AGI. 20–200x faster. 40–400x cheaper. This could make things like LLM-as-a-judge insanely fast and nearly free. (I tried a bunch of prompts and still didn’t burn through $0.10.)

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Instant compaction with Jev

A Claude session from 1M to 86K tokens

This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be  Show more

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tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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Vercel's fx safety reviewer, 18x faster

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

Pranit
Pranit
Vercel
@fazxes

We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice

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Jev lands on OpenRouter

700 leads scored for $0.09