A FIELD GUIDE TO JEV / VOL. 01

小小判断。
无限可能。

汇集 Jev 的真实项目、实用指南和来自全网的创意。

1,198项资源16种语言
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
TypeSafe AI@typesafeaiOFFICIAL

Answers your code can use

TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.

x.comAnswers your code can use查看项目 ↗

Four official signals. A fresh starting point on each visit.

10 项资源

AI-assisted summaries and translations. Check original sources for context and performance claims.

精选官方
Diogo Almeida

The Jev launch post

Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.

VIDEO
快速入门English

Source-linked curation

Kai

jev-job-hunter

A community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.

VIDEO
快速入门English

Source-linked curation

0xCodila

A usage router for Grok Bot

A setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.

VIDEO
快速入门English

Source-linked curation

精选官方
TypeSafe AI

TypeSafe steps out of stealth

TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.

VIDEO
快速入门English

Source-linked curation

x.com

LLMs vs. Jev, clearly explained

Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.

VIDEO
快速入门English

Source-linked curation