Browser tasks for about a tenth of a cent each.
Kyle Jeong connected Jev to Stagehand on a remote browser and reported about $0.001 per task. Jev picks the action and Stagehand performs it. He later put it behind Stagehand’s Act, Extract and Observe primitives, as a decision layer rather than an autonomous agent: which element to click, which field to fill, which text to extract.
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 ↓
# Jev: AI Decisions as a Typed Function Call What I learned using TypeSafe's Jev for code review, and why its more surprising uses are browser control and generative UI.…
ResourceAgents & browsers
Chrome extension that labels every post you scroll past on X with six typed questions per post, and counts what it costs in the corner.
GitHubAgents & browsers
Chrome extension that scores draft posts and reply context before posting; optional media descriptions come from a separate vision model.
GitHubAgents & browsers
we built blazing fast computer/browser use with Jev + @Stagehanddev. this task cost $0.001 and executed at near instant speed (in a remote browser btw) the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then Stagehand Show more
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
