The Jev launch post
Diogo 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.
A FIELD GUIDE TO JEV / VOL. 01
To, co najlepsze w Jev: prawdziwe projekty, praktyczne poradniki i pomysły z sieci.
Diogo 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 announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneZobacz projekt ↗TypeSafe 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.
x.comAnswers your code can useZobacz projekt ↗TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Four official signals. A fresh starting point on each visit.
94 materiałów
AI-assisted summaries and translations. Check original sources for context and performance claims.
Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships.
github.comjexp/neo4jevZobacz projekt ↗Source-linked curation
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
github.comhr98w/jev-visualZobacz projekt ↗Source-linked curation
LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.
github.comWiktorB2004/llama-index-jevZobacz projekt ↗Source-linked curation
PulseLane — clinic triage decisions via TypeSafe Jev.
github.comndolinschi/pulselaneZobacz projekt ↗Source-linked curation
Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.
github.comhamakyo/jev-starterZobacz projekt ↗Source-linked curation
jev-router (skill). A developer project using Jev to select appropriate models for prompts in coding tasks.
github.comheyman333/jev-routerZobacz projekt ↗Source-linked curation
Matched-precision comparison against a private fine-tuned classifier.
x.comInternal classifier field noteZobacz projekt ↗Source-linked curation
ACME live support-call scoring demo with TypeSafe AI, Effect, SQLite, React, Vite, and Turborepo.
github.combrandonbryant12/transcript-scorecardZobacz projekt ↗Source-linked curation
TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking.
github.commarkfive-proto/typesafe-vs-deepseekZobacz projekt ↗Source-linked curation
JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
github.comCharlyhno-eng/jev-document-classificationZobacz projekt ↗Source-linked curation
Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
github.comreachjalil/jevlogsZobacz projekt ↗Source-linked curation
An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring.
github.comMintzs/jevifyZobacz projekt ↗Source-linked curation
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
github.comFirasSX914/JanusZobacz projekt ↗Source-linked curation
Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
github.comilyamk/jev-gmail-ai-spam-filter-and-labelingZobacz projekt ↗Source-linked curation
Fast CVSS scoring from vulnerability descriptions using Typesafe Jev.
github.comRed5d/jev-cvssZobacz projekt ↗Source-linked curation
A developer project for model routing with caching and failover.
github.comwin4r/pi-jev-routerZobacz projekt ↗Source-linked curation
Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
github.comlarguesa/jev-searchZobacz projekt ↗Source-linked curation
Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
github.comWizhill05/typesafe-image-diffusionZobacz projekt ↗Source-linked curation
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%).
agentjournal.devOne judge call vs twelve dimension scoresZobacz projekt ↗Source-linked curation
Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven.
github.comparth-kp/jev-mail-classifierZobacz projekt ↗Source-linked curation
A developer project for lead scoring in Clay using Jev.
github.compromptgtm-shared/clay-jev-people-rankerZobacz projekt ↗Source-linked curation
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.
github.comFoadsf/jev-for-engineersZobacz projekt ↗Source-linked curation