17 分钟 Jev 入门教程：三个可抄的构建
从零搭 Typesafe Jev 的完整教程，用 Null/Score/Choice 原语加置信度路由，做简历筛选、工单分派、内容审核三个 demo，延迟压到 500ms 内。
AI engineer(full Jev AI guide for beginners): "Two years of waiting on token generation for answers that were always going to be yes or no. Then he swapped text output for typed output and the whole workflow dropped under 500ms. 99% of people still ask an LLM to write a paragraph when they needed a decision. The 1% run a decision engine: typed primitives, a confidence score, and anything uncertain flagged straight to a human. That's not a prompting gap. That's an architecture gap, and it takes one evening to close." Question → Primitives (Null, Score, Choice) → Confidence Score → Route → Ship or Flag A complete Jev AI tutorial for beginners - what Jev is, how to set up Typesafe Jev from scratch, and three builds you can copy: • 00:00 - why traditional LLM text generation slows workflows • 01:31 - Jev vs Claude & GPT: fast decision engines explained • 02:10 - early access: joining the waitlist on http://Typesafe.ai • 04:21 - the primitives: Null, Score and Choice • 06:49 - Build 1: automated resume screening and candidate rating • 09:24 - Build 2: support ticket triage and department routing • 12:06 - Build 3: content moderation and policy violation assessment • 16:08 - sub-500ms latency: replacing token generation with typed output • 16:35 - when to choose Jev vs Claude or GPT Set up → Test → Build → Route This 17-minute walkthrough beats most $1000 courses on building AI apps. Watch it today, then ship your first Jev workflow tonight ↓
这条是引用着另一条写的：x.com/asteri_eth/status/2104901781725598103