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TypeSafe System One / Jev: Judgments + Probabilities, Not Chat Inference Desk
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Everything you need to know about JEV | AI & LLM tutorial Kristiyan Stoyanov
JevMade field notes / Video guide
Jev入門 話題の判断専用AI、Jevの組み込みを試してみました
Makoto Taniguchi demonstrates TypeSafe AI's Jev, explaining its structured probability output, testing criteria and states in the playground, and implementing an inquiry categorization web application.
Original by ともすた | たにぐち まこと Getting started Beginner 16 min 14 sec Published 21 September 2026
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What you’ll find in the video
Jev takes structured inputs and returns probability scores rather than natural language text, simplifying programmatic parsing. Playground prompts can be refined using explicit criteria and dynamic state variables to guide Boolean or categorical determinations. Applications can call the TypeSafe REST API with choice fields to classify customer service inquiries into predefined categories.
Worth knowing The author received early waitlist access and notes the demonstration is a preliminary exploration rather than an exhaustive production evaluation.
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16:14
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Jev入門 話題の判断専用AI、Jevの組み込みを試してみました
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