The author sees Jev as a perfect use case for skills and tool calling, offloading decisions to Jev so the main agent doesn't need to load all descriptions into context.
Skills and tool calling seems like a perfect user case for Jev. Offload those decisions to Jev and we no longer need to load all of the descriptions into the context of our main agent.
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.
