Wprowadzenie do Jev
Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
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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.
Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
Oświadczenie o oficjalnym uruchomieniu TypeSafe przedstawia laboratorium i kieruje programistów do Jev. Zawiera film prezentacyjny Diogo Almeidy i oryginalne wstępne wprowadzenie.
TypeSafe ogłasza publiczny dostęp do Jev bez listy oczekiwania. Oficjalny konsolę jest punktem wyjścia do testowania typowanych decyzji w własnych aplikacjach.
TypeSafe 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.
Start with the Launch Post. Explore four official signals.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
A stock evaluation tool using Jev for fast market analysis.
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Moved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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A real-time tool to analyze and categorize tweets for viral potential.
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A community post describing control of a simulated fly.
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
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A community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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Jev poprawia wydajność pipeline zabezpieczeń, oferując 5-krotny spadek kosztów i szybsze przetwarzanie przy zachowaniu wyższej dokładności niż mniejsze modele.
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A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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Framework for running end-to-end tests with agents using Jev.
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Oficjalny zamiennik TypeSafeClient do pracy z API OpenAI, Anthropic i kompatybilnych modeli LLM do porównywania Jev z modelami czatowymi.
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Integracja 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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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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Jev plays Puyo Puyo. A community post describing an experiment where Jev makes decisions in a game by evaluating board states and strategies.
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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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A plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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A drone navigation experiment where Jev makes real-time decisions to avoid obstacles in an asteroid field.
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Steve Krouse's playable 16-judgment demo and video.
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A 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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A small agent using Jev compaction to manage searchable memory efficiently.
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Jev rapidly analyzed news articles to suggest relevant stories for brands at a low cost.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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A deterministic model routing system for coding agents with a skill for Codex.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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Context curator for Pi agent using Jev technology.
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Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
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A community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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Jev integrates with Cal.com to quickly find team scheduling overlaps.
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An experimental game where Jev AI generates multiple timelines to keep Mario alive through decision branching.
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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
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A logic interpreter uses plain English to enable Jev to perform reasoning tasks it cannot handle alone.
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An open-source model for form-filling tasks with low latency.
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Creates a dynamic audience of 100 simulated personalities that respond individually to user input using Jev.
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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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A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
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Proof of concept MCP for Typesafe's new Jev AI model.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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A tool for monitoring Reddit threads to gather data cited by AI, offering free analysis of 4000 threads via email, Discord, or Slack.
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A community experiment demonstrating Jev's capability to function as a computer by emulating a 6502 processor.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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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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A community post about humor management on a social platform.
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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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Kuratorzowany, źródłowy spis projektów opartych na Jev, modelu System One TypeSafe AI do podejmowania decyzji typu zdefiniowany.
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A developer created an instant calorie tracking app using Jev for quick responses.
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Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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A React app that estimates an age range based on a Korean name, described as a developer tool.
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Everyday Stocks Status with Jev.
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A community post about improving a Slack agent's speed using Jev for faster skill and tool classification.
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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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Jev predicts upcoming shell commands by analyzing historical command data.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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Robot z dwiema ramionami sterowany przez Jev do podejmowania decyzji, z odwrotną kinematyką i fizyką obsługowaną przez kod dla efektywnego działania.
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A GitHub Action using Jev for automated PR triage and classification.
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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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A community post describing a system that matches one candidate to 400 companies with a confidence score in 12 seconds.
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A playful tool using Jev to provide random answers to questions.
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An experiment exploring Jev's ability to solve pathfinding problems compared to traditional algorithms like A*.
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Jev converts websites into native mobile apps by deciding the optimal build process and handling app store submissions.
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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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