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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Le meilleur de Jev : projets concrets, guides pratiques et idées du web.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida présente Jev, le modèle de décision structuré de TypeSafe. Regardez le film de lancement et explorez le fil original pour découvrir l'approche du modèle, des exemples et les performances rapportées par l'auteur.
TypeSafe AI@typesafeaiOFFICIALL'annonce officielle du lancement de TypeSafe présente le laboratoire et oriente les développeurs vers Jev. Elle inclut le film de lancement de Diogo Almeida et son introduction originale.
TypeSafe AI@typesafeaiOFFICIALTypeSafe annonce l'accès public à Jev sans liste d'attente. La console officielle est le point de départ pour tester les décisions typées dans votre propre application.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe met en avant l'approche de sortie typée de Jev : les applications fournissent l'état et les questions, puis agissent sur les probabilités, les choix ou les scores. L'annonce liée couvre également l'intégration de l'API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
94 ressources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Higgsfield AI 🧩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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Kevin GrajedaClassificateur 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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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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A guide on using Jev to route between models and block risky tool calls.
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Marc KöhlbruggeA 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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A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.
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Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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x.comJev is a System One model on OpenRouter that provides decisions with probabilities.
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Nikunj KothariA task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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Runnable Jev examples through OpenRouter for immediate implementation.
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YumA community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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Nick KhamiA 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 community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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Justine MooreJev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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ZachiAn ad blocker extension using AI for real-time classification and removal of ads.
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Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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Jiaqi GuA project using Jev for skill routing in an agent system, based on community development.
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A developer project for model routing with caching and failover.
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1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
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A developer project integrating Home Assistant with Jev for processing user input without an LLM.
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An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring.
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Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships.
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MovezAnalyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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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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Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
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SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded.
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Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
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Trinay HariA 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 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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Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.
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A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.
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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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jev-router (skill). A developer project using Jev to select appropriate models for prompts in coding tasks.
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A GitHub project for a Pareto-optimal OpenRouter router for Pi, decided by Jev.
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Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.
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Riley BrownJev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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Classifies tax documents using an LLM pipeline for efficient processing.
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HassanA project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
JEVLAB ARTEnglishSource-linked curation
x.comJev offers structured decision-making for security workflows with high speed.
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Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies.
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Near-real-time scoring of TikTok and Instagram hooks against about 100 personas.
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Chris AdcockJev enables Grok Bot to control real Chrome for faster, automated tasks instead of slow look-and-click methods.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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iagolastA community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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EspañolSource-linked curation
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
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Fayaz AhmedAn image classifier using OCR and Jev processes 900 images in 40 seconds.
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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 is demonstrated as a classification model with practical examples.
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Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
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Rob HallamSuperX 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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LaneBreak — support ticket priority+routing via TypeSafe Jev.
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OpenRouterJev demonstrated over 5x faster performance than other models in testing.
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Comment-moderation playground: paste a comment, Jev decides what to do with it.
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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 LangChain package with TypeSafeClassifier for integrating Jev into applications.
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SabrinaA demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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vogelA system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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Matched-precision comparison against a private fine-tuned classifier.
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Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
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GitHub Action for issue triage that abstains: label, spam, needs-info and duplicate in one call, each applied only above a threshold you set, and nothing at all below it.
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A developer project exploring decisions using a classifier as a next-token predictor.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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A GitHub Action using Jev for automated PR triage and classification.
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Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.
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Autonomous System-One Triage Engine & Benchmark powered by TypeSafe AI (Jev). 75ms inference, $0 output tokens, and RLCD epistemic safety gates.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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x.comJev enables flexible, type-safe classification as a fundamental programming primitive.
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JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
JEVLAB ARTEnglishSource-linked curation
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4 HIGHLIGHTS
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Decisions & routing
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