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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.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
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’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
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.
JEVLAB ARTTypeSafe 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.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
20 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Jev processes 1,000 emails for category, priority, spam, and reply predictions.
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A user tested the new Jev model and shared insights about its significance for System One models.
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A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.
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Retriever AI evaluates Jev's performance on real browser tasks, identifying strengths and areas for improvement in integration with larger models.
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A resource discussing a new model type that outperforms LLMs in specific areas, collected for the tools shelf.
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Fazt presenta las decisiones estructuradas de Jev con ejemplos de Snake y clasificación de solicitudes de soporte.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.
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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.
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A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.
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Jev enables users to create various applications using its architecture, as explained in a YouTube guide.
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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.
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A setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.
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A livestream analyzing Jev's architecture for JSON-predicting models.
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Jev processes natural language with structured outputs and confidence levels, but it is not a traditional large language model.
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A guide explaining three types of micro decisions used by Jev AI.
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Tutorial covers API setup and building prototypes with Jev and LLMs.
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Jev is HERE. How to use it. A resource explaining how to access Jev through the Vercel AI Gateway and its potential business applications.
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Jev is demonstrated as a classification model with practical examples.
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A YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.
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4 HIGHLIGHTS
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Decisions & routing
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