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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
TypeSafe AI@typesafeaiOFFICIALTypeSafe'ın resmi lansman duyurusu, laboratuvarı tanıtır ve geliştiricileri Jev'e yönlendirir. Diogo Almeida'nın lansman filmi ve orijinal girişimi içerir.
TypeSafe AI@typesafeaiOFFICIALTypeSafe, Jev'e açık erişimi duyurdu. Resmi konsol, uygulamanızda türden kararlar denemek için başlangıç noktasıdır.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe, Jev'in türden çıktı yaklaşımını vurgular: uygulamalar durum ve sorular sağlar, ardından olasılıklar, seçimler veya puanlara göre hareket eder. Bağlantılı duyuruda Venice API entegrasyonu da yer alır.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Higgsfield AI 🧩Higgsfield'da video ve resim üretimi görevleri için en uygun AI modellerini seçmeyi gösteren bir demo.
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Kevin GrajedaGerçek zamanlı olarak istek zorluğunu sınıflandıran sınıflandırıcı, kullanıcı etkileşimini artırmak için basit istekler için hızlı mod sağlar.
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Riley BrownJev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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A guide on using Jev to route between models and block risky tool calls.
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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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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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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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vogelA system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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SabrinaA demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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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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x.comJev enables flexible, type-safe classification as a fundamental programming primitive.
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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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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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OpenRouterJev demonstrated over 5x faster performance than other models in testing.
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x.comJev is a System One model on OpenRouter that provides decisions with probabilities.
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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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iagolastA community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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Justine MooreJev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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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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Nikunj KothariA task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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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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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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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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TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking.
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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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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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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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jev-router (skill). A developer project using Jev to select appropriate models for prompts in coding tasks.
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Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
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ACME live support-call scoring demo with TypeSafe AI, Effect, SQLite, React, Vite, and Turborepo.
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One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%).
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Jev is demonstrated as a classification model with practical examples.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.
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Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.
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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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Rob HallamJev ile entegre edilen SuperX, 61 soruyu bir gecede altı saniyede analiz ederek yüksek viral potansiyel tahmin doğruluğu sağlar.
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Matched-precision comparison against a private fine-tuned classifier.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
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A developer project exploring decisions using a classifier as a next-token predictor.
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Runnable Jev examples through OpenRouter for immediate implementation.
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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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Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
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Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
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Fayaz AhmedAn image classifier using OCR and Jev processes 900 images in 40 seconds.
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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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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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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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1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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Fast CVSS scoring from vulnerability descriptions using Typesafe Jev.
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PulseLane — clinic triage decisions via TypeSafe Jev.
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Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
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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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Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
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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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ZachiAn ad blocker extension using AI for real-time classification and removal of ads.
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Classifies tax documents using an LLM pipeline for efficient processing.
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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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Chris AdcockJev enables Grok Bot to control real Chrome for faster, automated tasks instead of slow look-and-click methods.
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Short practical intro with a Python ticket-triage example.
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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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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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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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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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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 Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.
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4 HIGHLIGHTS
ÇEVİRİ
4 clicks / 7d
Decisions & routing
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