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.
A FIELD GUIDE TO JEV / VOL. 01
Le meilleur de Jev : projets concrets, guides pratiques et idées du web.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
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 useVoir le projet ↗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 everyoneVoir le projet ↗Four official signals. A fresh starting point on each visit.
35 ressources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Classificateur qui évalue en temps réel la difficulté des prompts, permettant un mode rapide pour les prompts simples afin d'améliorer l'interaction utilisateur.
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Démonstration montrant comment Jev sélectionne les modèles d'IA les plus adaptés pour les tâches de génération vidéo et d'image sur Higgsfield.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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A project using Jev for skill routing in an agent system, based on community development.
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Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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A real-time computer assistant using Jev and local Whisper to process voice input, classify actions, and interact with the screen through a Swift app for accessibility.
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SuperX intégré à Jev permet une notation rapide de posts, analysant 61 questions par post en moins d'une seconde avec une haute précision de prédiction de potentiel viral.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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Jev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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Classifies tax documents using an LLM pipeline for efficient processing.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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An ad blocker extension using AI for real-time classification and removal of ads.
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Matched-precision comparison against a private fine-tuned classifier.
x.comInternal classifier field noteVoir le projet ↗Source-linked curation
Jev is a System One model on OpenRouter that provides decisions with probabilities.
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Jev demonstrated over 5x faster performance than other models in testing.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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A 26-sheet construction plan set was classified in 2.9 seconds using Jev with an LLM pipeline, costing $0.0052 and matching GPT-4.1 and GPT-6 Astra performance.
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A demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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Jev enables flexible, type-safe classification as a fundamental programming primitive.
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A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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Near-real-time scoring of TikTok and Instagram hooks against about 100 personas.
x.comHook panel A/B testerVoir le projet ↗Source-linked curation
Jev enables Grok Bot to control real Chrome for faster, automated tasks instead of slow look-and-click methods.
x.comJev driving real Chrome from Grok BotVoir le projet ↗Source-linked curation
Jev offers structured decision-making for security workflows with high speed.
x.comJev for security engineeringVoir le projet ↗Source-linked curation