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.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
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’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
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.
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.
Start with the Launch Post. Explore four official signals.
10 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Product and research updates.
Source-linked curation
A community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
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A community guide outlining 10 steps to implement Jev for faster decision-making in AI agent systems.
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
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
Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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
Jev assists a Mac app by selecting relevant support articles from built-in documentation.
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.
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.
Source-linked curation