Unofficial Chrome Manifest V3 port of browser-use/jev-ultrafast: Jev picks the operation and DOM element in one request, a small text model writes typed values, and the run happens in your own tab with your logins. Ships a 17-task headless-Chromium suite.
Manifest V3 port of browser-use/jev-ultrafast with the same observation format, questions, and execution rules.
Jev answers the operation and the target element in one request; typed text comes from a small chat model.
Clicks and keystrokes go through Chrome's DevTools protocol so the page receives real input.
Two independent probability checks veto a premature DONE, and the popup shows both.
Ships a 17-task headless-Chromium suite with recorded traces.
Quickstart
bash
npm install
npx playwright install chromium # once, for the test harness
Watch out
MIT-licensed. An unofficial port not affiliated with TypeSafe or Browser Use; needs Chrome plus an OpenRouter, TypeSafe, or Cloudflare key, and the debugger permission cannot be optional in Chrome.
WXT Chrome and Firefox extension that has Jev classify nonessential page elements through TypeSafe or Vercel AI Gateway, then stores reusable local hiding rules by page template. Paid analysis is manual by default, with an optional on-visit mode.
An open-source browser agent extension for Chrome and Edge that browses, fills forms, clicks, and collects data, letting any extension-capable browser act as an AI browser with your own LLM key.
Chrome and Firefox extension that reads a YouTube video's caption track and asks Jev for a sponsor probability per 30-second segment, painting the seek bar before the intro ends. It reports catching 77% of SponsorBlock's sponsor seconds across 23 videos at $0.0008 per video.
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
@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
Jev by @typesafeai is now on OpenRouter, in beta.
Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validateShow more
JEV is INSANE.
We gave it 700 high-intent leads and personalised outreach messages.
In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches.
All for just $0.09.
JEV can also score leads, analyse buyingShow more
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Breaking: Browser Use + Jev = Ultrafast ⚡
Findings flights took 7s and cost only $0.0039 🤯
> new action space every step
> DOM state space
> small LLM fallback to type
(this video is at 1x speed btw)
Built a tiny open source browser agent. try it below ↓
hype-free explanation of jev:
jev does not replace gpt / claude
jev is just a *really* smart switch statement
like if 2016 ml classifiers got 2026 levels of intelligence
it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate
* = and byShow more
Diogo Almeida
@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