Jev 工程入门：用 Choice/Score/Noul 替代解析聊天回复
介绍 TypeSafe AI 的决策模型 Jev：用 Choice、Score、Noul 三类锁定答案的短问题返回结构化值，以客服退款分单为例说明后端不必再解析自然语言回复。
This is Fuc*king insane HERE IS EVERYTHING YOU SHOULD KNOW ABOUT JEV ENGINEERING Regular AI writes essays. Jev writes answers your code can use. That is the whole idea. What it is Jev is a decision model from TypeSafe AI. People call the method Jev engineering. You give it a piece of text. Then you ask short questions with locked answers. It does not write a paragraph. It picks from your list and sends back values. Three kinds of questions. Choice. Which team. Billing, tech, or sales. Score. How bad is this, on a scale you set. Noul. Yes or no. Is it urgent. Why it is getting popular. Apps do not need a 24 word apology. They need a switch. Route this ticket. Refund or not. Wake a human or wait. ChatGPT gives you a sentence. Then your code has to guess the meaning. That is slow, messy, and easy to break. Jev skips the sentence. One call. Structured values. Probabilities included. Cheap. Fast. Nothing outside your list can come back. Who built it. TypeSafe AI. The reel and the graphic are from Krishna Chaitanya. He is walking engineers through why backends should stop parsing chat replies. One real use. The picture you are looking at. A customer writes in. Charged twice. Refund me now. A regular model writes a 24 word reply. Friendly. Correct. Useless to code. Now you have to dig team, refund, and urgent out of a paragraph. Jev takes the same message and answers three questions from your list. Team. Billing. Refund. Yes. Urgent. Yes. Three values. Your app uses them instantly. No parser. No guesswork. That is Jev engineering. Not a smarter chatbot. A filter that decides, so the expensive model only talks when a human actually needs words.
这条是引用着另一条写的：「一篇上手 Jev 的完整构建指南：代码、架构与图」