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.
A FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
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.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneVer proyecto ↗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 useVer proyecto ↗TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Four official signals. A fresh starting point on each visit.
10 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
Actualizaciones de producto y investigación.
x.com@typesafeai on XVer proyecto ↗Source-linked curation
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.
Source-linked curation
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Source-linked curation
A setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
Source-linked curation
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneVer proyecto ↗Source-linked curation
A community guide outlining 10 steps to implement Jev for faster decision-making in AI agent systems.
Source-linked curation
Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
Source-linked curation
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 useVer proyecto ↗Source-linked curation
A community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
Source-linked curation
Jev assists a Mac app by selecting relevant support articles from built-in documentation.
Source-linked curation