A FIELD GUIDE TO JEV / VOL. 01
Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.
TypeSafe 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.
x.comAnswers your code can useLihat proyek ↗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.
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 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 everyoneLihat proyek ↗Four official signals. A fresh starting point on each visit.
94 sumber
AI-assisted summaries and translations. Check original sources for context and performance claims.
Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
github.comreachjalil/jevlogsLihat proyek ↗Source-linked curation
Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
github.comlarguesa/jev-searchLihat proyek ↗Source-linked curation
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.
Source-linked curation
A setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.
YouTube · Lihat proyekSource-linked curation
Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
Source-linked curation
1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
news.ycombinator.comHacker News launch threadLihat proyek ↗Source-linked curation
Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
github.comandrelandgraf/safer-with-jevLihat proyek ↗Source-linked curation
Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
github.comdevanshbatham/commit-minerLihat proyek ↗Source-linked curation
Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
github.com0xArx/jevegisLihat proyek ↗Source-linked curation
A developer project exploring decisions using a classifier as a next-token predictor.
github.comerik-dunteman/ChatJevLihat proyek ↗Source-linked curation
A LangChain package with TypeSafeClassifier for integrating Jev into applications.
pypi.orglangchain-typesafeLihat proyek ↗Source-linked curation
Matched-precision comparison against a private fine-tuned classifier.
x.comInternal classifier field noteLihat proyek ↗Source-linked curation
Comment-moderation playground: paste a comment, Jev decides what to do with it.
github.comNorbertBodziony/guard-jevLihat proyek ↗Source-linked curation
Chris AdcockJev enables Grok Bot to control real Chrome for faster, automated tasks instead of slow look-and-click methods.
x.comJev driving real Chrome from Grok BotLihat proyek ↗Source-linked curation
jev-router (skill). A developer project using Jev to select appropriate models for prompts in coding tasks.
github.comheyman333/jev-routerLihat proyek ↗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-starterLihat proyek ↗Source-linked curation
A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.
github.comGhrezaKh74/JevTicktRouterLihat proyek ↗Source-linked curation
Near-real-time scoring of TikTok and Instagram hooks against about 100 personas.
x.comHook panel A/B testerLihat proyek ↗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-deepseekLihat proyek ↗Source-linked curation
Autonomous System-One Triage Engine & Benchmark powered by TypeSafe AI (Jev). 75ms inference, $0 output tokens, and RLCD epistemic safety gates.
github.comsysadarsh/zerosweepLihat proyek ↗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-classificationLihat proyek ↗Source-linked curation
Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions.
github.comFirasSX914/JanusLihat proyek ↗Source-linked curation
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Source-linked curation
