17-minute Jev tutorial: three builds you can copy
A full tutorial on building with Typesafe Jev from scratch, using Null/Score/Choice primitives plus confidence-based routing to make resume screening, ticket triage and content moderation demos with latency under 500 ms.
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 ↓
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