19 岁学生用 Jev 做决策层，两天卖出 8350 美元系统
一个学生把 agent 拆成「LLM 写、Jev 决策、代码执行」三层，用 Jev 做路由、排序与纠错，替代逐次 LLM 调用，速度更快成本更低。
a broke 19 y.o. student used Jev Engineering to build this system and sold it for $8,350 in 2 days his AI agent uses Jev as a decision layer, allowing it to route tasks, rank results, detect mistakes, and decide what the system should do next in milliseconds. the student built the first version from his dorm room while studying full-time. at first, he used an LLM for almost every decision, which made the agent slow and expensive. then he discovered Jev Engineering. instead of asking an LLM to explain every decision, he separated the system into three layers: the LLM writes, Jev decides, and code acts. the result was dramatically faster and cheaper. I found the architecture he used to build it and one part is surprisingly simple. stay tuned if you want to see how the whole system works. what would you build with Jev Engineering?
这条是引用着另一条写的：「长文：如何搭好 Jev 驱动的 agent 技术栈」