A FIELD GUIDE TO JEV / VOL. 01
Das Beste von Jev: echte Projekte, praktische Anleitungen und Ideen aus dem Netz.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida stellt Jev vor, das strukturierte Entscheidungsmodell von TypeSafe. Schauen Sie sich den Launch-Film an und erkunden Sie den ursprünglichen Thread für den Ansatz des Modells, Beispiele und die vom Autor gemeldeten Leistungen.
TypeSafe AI@typesafeaiOFFICIALDie offizielle Launch-Ankündigung von TypeSafe stellt das Labor vor und verweist Entwickler auf Jev. Sie enthält Diogos Almeidas Launch-Film und die ursprüngliche Einführung.
TypeSafe AI@typesafeaiOFFICIALTypeSafe kündigt die öffentliche Zugänglichkeit von Jev ohne Warteliste an. Die offizielle Konsole ist der Ausgangspunkt, um typisierte Entscheidungen in Ihrer eigenen Anwendung zu testen.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe betont den typisierten Ausgabeansatz von Jev: Anwendungen geben Zustand und Fragen an, dann handeln sie auf Wahrscheinlichkeiten, Auswahl oder Bewertungen. Der verknüpfte Ankündigungstext behandelt auch die Venice API-Integration.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
1.198 Ressourcen
AI-assisted summaries and translations. Check original sources for context and performance claims.
Testing Jev's performance in automating Android end-to-end tests, showing faster results compared to other tools.
JEVLAB ART
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DuncanEphraim Duncan's demo where Jev decides which model should serve a request.
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A community experiment demonstrating Jev's capability to function as a computer by emulating a 6502 processor.
JEVLAB ARTEnglishSource-linked curation
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
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Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.
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A community post about humor management on a social platform.
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An agent project that enforces policies by judging Claude Code tool calls.
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100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One.
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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.
PortuguêsSource-linked curation
x.comA collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
简体中文Source-linked curation
Proof of concept MCP for Typesafe's new Jev AI model.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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Everyday Stocks Status with Jev.
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A playful tool using Jev to provide random answers to questions.
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A community post describing adaptive in-app support using Jev to provide real-time assistance based on user struggles.
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Chandramouly KandacharJev controls both hands and fingers to play piano in real-time based on visual input.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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A developer project using Jev to play Pokémon Red by typing each turn.
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Higgsfield AIA process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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A project where Jev attempts to defeat the Pokémon League in Pokémon Gold, using basic controls to navigate and win.
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Nader DabitJev powers a predictive launcher that anticipates user intent based on typing patterns.
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Fayaz AhmedAn image classifier using OCR and Jev processes 900 images in 40 seconds.
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HassanJev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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x.comA community post providing a tutorial on Jev, including demos for browser control and AI memory.
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Tutorial covers API setup and building prototypes with Jev and LLMs.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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A practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.
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Sim AudienceA community post describes an A/B test using Jev to analyze 4,000 demographic profiles, demonstrating its speed in processing and evaluating content.
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MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code.
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Pokémon FireRed Elite Four run. A community post describing an experiment where Jev successfully completed a game with low-cost resources.
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Eugene CheahOpen-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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Jev successfully played and won a match in the game Clash Royale.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.
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Jev is used to identify and flag low-quality text generated by Opus.
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AteeqA log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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A community post discussing a system where Jev acts as a quality gate for drafts, though it faced issues with communication.
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EthanJev identifies and manages marketing messages in Android notifications without content deletion.
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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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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
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Write Cucumber tests with just the .feature file. No step definitions — Jev (TypeSafe AI) resolves each Gherkin step and Playwright runs it.
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Paul WeiJev model demonstrates fast decision-making in a strategy game. Achieves high-speed gameplay with minimal visual feedback.
简体中文Source-linked curation
Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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生ビールA local Jev model for processing tasks with potential for improved speed.
日本語Source-linked curation
A method for expressing emotions through sound-based communication.
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Zahle KhanA community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
EnglishSource-linked curation
Computer-Nutzung für etwa 0,0002 Dollar pro Schritt: Bildschirm scannen, nächste Aktion mit TypeSafe klassifizieren, klicken. macOS.
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A community post exploring Jev's role in improv judging, presented as a creative experiment.
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jaffaA content marketing tool that analyzes 12.8M viral videos to generate data-backed social media scripts.
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Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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Mike TaylorA tool using Jev to efficiently evaluate content by producing probabilities instead of text, faster and cheaper than traditional models.
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CuaAn open-source model for form-filling tasks with low latency.
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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
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Riley BrownA real-time tool to analyze and categorize tweets for viral potential.
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Jev demonstrates potential for innovative UX/UI design through language model integration.
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Jev enables fast search of physical library indexes.
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Peter WangX timeline labeler. A community post describing a Chrome extension that categorizes X posts into types like engagement bait or promo.
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A fire evacuation simulation where each person makes Jev-style decisions.
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A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
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Andy GaoA project using Jev to enable fast voice-controlled interactions with a Mac computer.
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A tool that provides quick actions based on clipboard content, specifically for macOS.
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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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x.comExplains Jev's advantages over older LLMs in decision-making and building.
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KaiA community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
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Jev selects legal moves in a game of chess, compared to reasoning models.
JEVLAB ARTEnglishSource-linked curation
NickTest report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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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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ZachiAn ad blocker extension using AI for real-time classification and removal of ads.
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OpenRouterJev demonstrated over 5x faster performance than other models in testing.
JEVLAB ARTEnglishSource-linked curation
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4 HIGHLIGHTS
Tools & apps
Source-linked curation
Agents & browsers
Markets & experiments
Creative & growth
Games & real time
Decisions & routing
Research & data
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