A FIELD GUIDE TO JEV / VOL. 01
Le meilleur de Jev : projets concrets, guides pratiques et idées du web.
TypeSafe AI@typesafeaiOFFICIALTypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo 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 AI@typesafeaiOFFICIALTypeSafe 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 everyoneVoir le projet ↗TypeSafe AI@typesafeaiOFFICIALTypeSafe 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 useVoir le projet ↗Four official signals. A fresh starting point on each visit.
10 ressources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Mises à jour sur les produits et la recherche.
x.com@typesafeai sur XVoir le projet ↗Source-linked curation
TypeSafe AITypeSafe’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
KaiA community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
Source-linked curation
Malek Ould-OulhadjJev assists a Mac app by selecting relevant support articles from built-in documentation.
Source-linked curation
TypeSafe AITypeSafe 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 everyoneVoir le projet ↗Source-linked curation
x.comA community guide outlining 10 steps to implement Jev for faster decision-making in AI agent systems.
Source-linked curation
x.comJev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
Source-linked curation
0xCodilaA 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
Diogo AlmeidaDiogo 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 AITypeSafe 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 useVoir le projet ↗Source-linked curation
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