The author recalls how Jev set a new direction for agentic design flows—letting agents learn the design flow instead of hand-building it—and wonders whether OpenRouter's 20+ decision models offer an easier path.
A while back, "Jev" set a new direction for agentic design flows the idea that an agent's design flow can be learned by the agent instead of hand-built. But now OpenRouter offers 20+ decision models as a provider. That makes me wonder: could this be a new, easier way for those
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.
