Breaking: Browser Use + Jev = Ultrafast Findings flights
Built a browser agent where Jev picks actions from the DOM state space each step, booking flights in 7 seconds for $0.0039.
The original post
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 ↓
From the same thread
- @SUOHA_AI — Browser Use 接上 JEV 这速度太他妈吓人了吧?? 过去大家看 GPT、Claude 操控浏览器,体验其实并不好,因为真的太慢了,中间还经常卡死... 因为让大模型写一堆长篇大论去操作网页,本质上就是杀鸡用牛刀 在网页上点按钮,本质上就是一个离散的多选题,根本不需要 AI 会写诗 JEV 拿到 DOM 结构,以做分类题的速度毫秒级选出该点的元素,只有在需要打字输入时才偶尔回退给小模型
- @AYi_AInotes — 喵的,开源社区有点过于凶猛了!!! 拥有 4.5 万星的 Browser Use 创始人 Gregor Zunic 刚刚发了段实测视频, 直接把整个浏览器自动化(Browser Agent)行业的桌子给掀飞了: 查一次真实的航班机票,从打开网页、输入筛选到返回结果, 全程只花了 7 秒钟!单次成本只要 0.0039 美元(折合人民币不到 3 分钱)!
- @NFT_Chen — 🤯难以置信!Jev × Browser Use把浏览器速度打到变态快! 实测案例:给一句目标「苏黎世→伦敦,9月20日单程经济舱」,Agent 自己打开 Google Flights,切单程、填城市、选日期、点搜索。全程 1 倍速,含打字和页面加载。 亮眼表现: 🔹7.1 秒出结果 🔹成本仅 $0.0039 🔹协议调用 1092 → 101,砍 91% 🔹中位耗时再降 25% 🔹决策约
- @jurlycat — Jev is what happens when you stop forcing AI to talk. It’s the first public “System One” model from TypeSafe AI, built for fast decisions inside software—not conversations. You give it: •
- @opc0de3 — two days ago a guy shipped a model that cannot write text. yesterday someone plugged it into a browser and searched flights for four tenths of a cent $0.0039 per task. seven seconds. and the video is
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under agents & workflows, browser & computer use, video, animation & media. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post