A FIELD GUIDE TO JEV / VOL. 01
Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida memperkenalkan Jev, model keputusan terstruktur dari TypeSafe. Tonton film peluncuran dan eksplorasi thread asli untuk pendekatan model, contoh, dan kinerja yang dilaporkan penulis.
TypeSafe AI@typesafeaiOFFICIALPengumuman peluncuran resmi TypeSafe memperkenalkan laboratorium dan mengarahkan pengembang ke Jev. Termasuk film peluncuran Diogo Almeida dan pengantar asli.
TypeSafe AI@typesafeaiOFFICIALTypeSafe mengumumkan akses publik ke Jev tanpa daftar tunggu. Konsol resmi adalah titik awal untuk mencoba keputusan bertipe dalam aplikasi Anda sendiri.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe menyoroti pendekatan Jev untuk output bertipe: aplikasi menyediakan state dan pertanyaan, lalu bertindak berdasarkan probabilitas, pilihan, atau skor. Pengumuman terkait juga mencakup integrasi API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
49 sumber
AI-assisted summaries and translations. Check original sources for context and performance claims.
GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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Runnable Jev examples through OpenRouter for immediate implementation.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.
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PulseLane — clinic triage decisions via TypeSafe Jev.
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A developer project for lead scoring in Clay using Jev.
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Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
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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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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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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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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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Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
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LaneBreak — support ticket priority+routing via TypeSafe Jev.
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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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TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking.
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Comment-moderation playground: paste a comment, Jev decides what to do with it.
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Turn any open model into a classifier/jev endpoint.
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A GitHub project for a Pareto-optimal OpenRouter router for Pi, decided by Jev.
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A GitHub Action using Jev for automated PR triage and classification.
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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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Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.
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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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Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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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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A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.
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Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena.
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Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
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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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Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
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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 developer project integrating Home Assistant with Jev for processing user input without an LLM.
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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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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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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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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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An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
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A developer project for model routing with caching and failover.
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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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ACME live support-call scoring demo with TypeSafe AI, Effect, SQLite, React, Vite, and Turborepo.
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Fast CVSS scoring from vulnerability descriptions using Typesafe Jev.
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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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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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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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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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LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.
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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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4 HIGHLIGHTS
Decisions & routing
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