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Recent activityA FIELD GUIDE TO JEV / VOL. 01
To, co najlepsze w Jev: prawdziwe projekty, praktyczne poradniki i pomysły z sieci.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
TypeSafe AI@typesafeaiOFFICIALOświadczenie o oficjalnym uruchomieniu TypeSafe przedstawia laboratorium i kieruje programistów do Jev. Zawiera film prezentacyjny Diogo Almeidy i oryginalne wstępne wprowadzenie.
TypeSafe AI@typesafeaiOFFICIALTypeSafe ogłasza publiczny dostęp do Jev bez listy oczekiwania. Oficjalny konsolę jest punktem wyjścia do testowania typowanych decyzji w własnych aplikacjach.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe wyróżnia podejście Jev do wyjściowych typów: aplikacje dostarczają stan i pytania, a następnie działają na prawdopodobieństwach, wyborach lub ocenach. Powiązane oświadczenie obejmuje integrację API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
94 materiałów
AI-assisted summaries and translations. Check original sources for context and performance claims.
Higgsfield AI 🧩Demonstracja, w której Jev wybiera najbardziej odpowiednie modele AI do zadań generowania wideo i obrazów na Higgsfield.
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Kevin GrajedaKlasyfikator oceniający trudność promptu w czasie rzeczywistym, umożliwiający szybki tryb dla prostych promptów w celu poprawy interakcji użytkownika.
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Justine MooreJev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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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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OpenRouterJev demonstrated over 5x faster performance than other models in testing.
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Classifies tax documents using an LLM pipeline for efficient processing.
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x.comJev enables flexible, type-safe classification as a fundamental programming primitive.
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iagolastA community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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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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Nikunj KothariA task using Jev to score 3,000 kids' snacks with multiple criteria in 28 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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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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Jiaqi GuA project using Jev for skill routing in an agent system, based on community development.
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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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vogelA system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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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 GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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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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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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ZachiAn ad blocker extension using AI for real-time classification and removal of ads.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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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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Near-real-time scoring of TikTok and Instagram hooks against about 100 personas.
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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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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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Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
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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 guide on using Jev to route between models and block risky tool calls.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
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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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Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
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x.comJev is a System One model on OpenRouter that provides decisions with probabilities.
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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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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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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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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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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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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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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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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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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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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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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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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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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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Riley BrownJev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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A developer project for lead scoring in Clay using Jev.
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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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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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Rob HallamIntegracja SuperX z Jev umożliwia szybką ocenę postów, analizując 61 pytań na post w mniej niż sekundę z wysoką dokładnością przewidywania potencjału wiralnego.
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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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Fast CVSS scoring from vulnerability descriptions using Typesafe Jev.
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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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Runnable Jev examples through OpenRouter for immediate implementation.
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A GitHub Action using Jev for automated PR triage and classification.
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Jev is demonstrated as a classification model with practical examples.
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An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
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Fayaz AhmedAn image classifier using OCR and Jev processes 900 images in 40 seconds.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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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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PulseLane — clinic triage decisions via TypeSafe Jev.
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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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Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
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Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
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A GitHub project for a Pareto-optimal OpenRouter router for Pi, decided by Jev.
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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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Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
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Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
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A LangChain package with TypeSafeClassifier for integrating Jev into applications.
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Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena.
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4 HIGHLIGHTS
TŁUMACZENIE
4 clicks / 7d
Decisions & routing
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