The demo applies Jev to a live Bluesky feed, detecting emotions in posts and matching an avatar to each user.
Jev demo: A live Bluesky feed with real-time emotion detection and avatars matched to each user’s profile. #jev
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.
