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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.
94 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Higgsfield AI 🧩Demo showing Jev selecting the most suitable AI models for video and image generation tasks on Higgsfield.
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Kevin GrajedaClassifier that assesses prompt difficulty in real-time, enabling fast mode for simple prompts to enhance user interaction.
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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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x.comJev enables flexible, type-safe classification as a fundamental programming primitive.
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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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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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Runnable Jev examples through OpenRouter for immediate implementation.
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Hamilton UlmerDuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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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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Nikunj KothariA task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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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 setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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Jiaqi GuA project using Jev for skill routing in an agent system, based on community development.
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Fayaz AhmedAn image classifier using OCR and Jev processes 900 images in 40 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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x.comJev is a System One model on OpenRouter that provides decisions with probabilities.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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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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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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A GitHub Action using Jev for automated PR triage and classification.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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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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Turn any open model into a classifier/jev endpoint.
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1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
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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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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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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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Jev is demonstrated as a classification model with practical examples.
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Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.
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TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking.
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A developer project for lead scoring in Clay using Jev.
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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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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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Comment-moderation playground: paste a comment, Jev decides what to do with it.
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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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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 community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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A guide on using Jev to route between models and block risky tool calls.
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iagolastA community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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SabrinaA demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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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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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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Rob HallamSuperX integrated with Jev enables rapid post scoring, analyzing 61 questions per post in under a second with high viral potential prediction accuracy.
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Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
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Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
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A developer project exploring decisions using a classifier as a next-token predictor.
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Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
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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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Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
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OpenRouterJev demonstrated over 5x faster performance than other models in testing.
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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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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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Helper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review.
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vogelA system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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ZachiAn ad blocker extension using AI for real-time classification and removal of ads.
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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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Short practical intro with a Python ticket-triage example.
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Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
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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 developer project for model routing with caching and failover.
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Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
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Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
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Justine MooreJev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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LaneBreak — support ticket priority+routing via TypeSafe Jev.
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A LangChain package with TypeSafeClassifier for integrating Jev into applications.
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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.
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4 HIGHLIGHTS
4 clicks / 7d
Decisions & routing
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