The post notes most AI agents still send every task to Claude Code, while Jev routes easy work to cheaper workers, saves expensive reasoning for what matters, and makes the whole system faster—showing how to build agents that scale.
INSANE how most AI agents still send every task to Claude Code. Jev routes the easy work to cheaper workers, saves the expensive reasoning for what actually matters, and makes the whole system literally faster. This is how you build agents that scale. Follow @cyrilxbt for more
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.
