The post shows how the Jev model enables a browser agent to find flights in 7 seconds for $0.0039, emphasizing Jev choosing the next click instead of generating long text.
THIS BROWSER AGENT FOUND FLIGHTS IN 7 SECONDS FOR $0.0039 not because the writer got smarter. because Jev picked the next click instead of another LLM essay. writer stays on the writer side. gate stays on the gate side. if your loop still lets the agent say "done", you are
Gregor Zunic showcases an open-source browser agent combining Browser Use and Jev, finding flights in 7 seconds for $0.0039, using a new action space per step, DOM state space, and small LLM fallback for typing.
Scott Williams predicts custom Jev-style models (parallel constrained decoding) will make existing company agent systems more token efficient, creating millionaires.
The user praises the JEV model for its extremely fast reproduction of each movement and command, believing bots will become smarter as a result.
