Jev 作为 agent 决策层：拦截-路由-执行-校验工作流
作者把 Jev 放在 agent 与各模型之间做决策层，负责检查工具调用、评估风险、路由到合适模型并校验输出，执行层可换 Opus/GPT/Gemini。
I still don't understand why everyone is NOT putting Jev in their AI agent stack most agents don't need another LLM deciding what to do. they need a proper decision layer. I compiled the complete Jev workflow: intercept → route → execute → verify Jev checks the tool call, evaluates the risk, routes it to the right model, then verifies the output before it reaches the user. and you can run the execution layer with whatever model fits the task; Opus, Sonnet, Haiku, GPT, Gemini, or other supported LLMs. the whole point is having Jev sit between your agent and the models, making the workflow more controlled and reliable. i broke down the entire system in my JEV MASTERCLASS article below 👇
这条是引用着另一条写的：x.com/mikenevermiss/status/2104436761032057204