The post argues that mastering Jev is crucial for saving tokens and mass-producing automated AI employees.
Jevをいかに使いこなすかが今後トークン節約や自動化をするAI社員を大量量産する上で、 めちゃくちゃ重要。
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.
