Jev 内部实测：模型路由、子代理通信、社交数据分类
作者用一天后列出四个真实用例：任务难度路由、编排器与子代理通信、社交内容信号分类、邮件分流，结论是确定性结果加智能流程的场景最适合 Jev。
After playing around with it for a day, Jev is good and clearly differentiated enough to stand on its own legs. Here are a couple of the usecases we've found internally: 1. Model router, classifies tasks into easy, medium, and hard and routes requests from our internal agent platform to the right agents. 2. Orchestrator <> Subagent communicator. Alongside Jev being very good at classifying tasks, it's also very good at communicating information that previously would have been communicated between subagents and an orchestrator that can now be done through Jev at a fraction of the price (not having to waste precious tool calling or tokens when deep in a run). 3. Classifying social data for us. We built our own internal classifier that ranks content across a variety of different accounts and platforms into signals that we think would be useful for our traders and Jev was able to step into the classifier role for us very seamlessly. 4. Triaging emails and other messages in a much cheaper and cleaner way. I already do this with Muse's agent but Jev long term just makes a lot of sense here. The best way to think about Jev is to use it where the outcome is deterministic, but the workflow requires some form of intelligence (like model routing or classifying social data). Happy hacking.