In Grok Bot Marketplace, roles such as PM, engineer, and designer are introduced. Jev serves as a layer that converts unstructured data into typed probabilistic judgments to support decisions like 'who to assign next'.
@tou_shi_ngo 要約できました👉 https://lilys.ai/digest/11657954?s=1… - Grok Bot Marketplaceで、PM・エンジニア・デザイナーなどの役割を導入。 - 課題は「次に誰へ任せるか」「続行か停止か」などの判断部分。 - Jevは、非構造データを型付きの確率的判断に変える層として使う。
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.
