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.
A 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.
1198 materiałów
AI-assisted summaries and translations. Check original sources for context and performance claims.
A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
JEVLAB ARTSource-linked curation
A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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An agent project that enforces policies by judging Claude Code tool calls.
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A mahjong coach that uses Jev to suggest tiles to discard in Japanese.
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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 describing adaptive in-app support using Jev to provide real-time assistance based on user struggles.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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A developer project for the agents shelf featuring a local MCP gateway with Jev tool discovery and a dashboard.
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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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A community project enabling hands-free web navigation by having Jev handle browser actions while Claude manages conversation.
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Jev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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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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Jev-assisted file retrieval and request caching for faster Pi workflows.
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A tool built on Jev that identifies programming languages, colors code, and checks lint rules.
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Jev controls both hands and fingers to play piano in real-time based on visual input.
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Jev AI plays Tetris at high speed, completing 357 pieces and 134 lines in 2 minutes. Demonstrates rapid decision-making capabilities.
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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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Voice command integration for the Autumn billing dashboard to streamline tasks.
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Jev play Tetris in real-time against other AI models.
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Jev semantically formats spreadsheets instantly, with suggestions for integration into other platforms.
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Daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill.
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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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Retriever AI evaluates Jev's performance on real browser tasks, identifying strengths and areas for improvement in integration with larger models.

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A demonstration where Jev was given $10,000 to trade.
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Everyday Stocks Status with Jev.
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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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Jev assists a Mac app by selecting relevant support articles from built-in documentation.
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A Go client for the TypeSafe API, aimed at developer tools and applications.
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A developer project where Jev assists in browsing by selecting actions, with an LLM planning and citing sources.
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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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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Runnable Jev examples through OpenRouter for immediate implementation.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems.
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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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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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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A project exploring pixel-level image generation through parallel decision-making processes.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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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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A developer project offering 110 interactive use cases, games, and scenarios with editable prompts.
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A tool that processes trading signals to generate intelligent decisions, enhancing system responsiveness.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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A developer project featuring a small Jev-like model running on a MacBook, collected for the tools shelf.
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A user creates music by giving real-time voice commands to Jev.
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A developer project for agent-native routing that selects models based on task complexity.
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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.
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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.
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Utilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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Jev identifies and manages marketing messages in Android notifications without content deletion.
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A community post describing control of a simulated fly.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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A gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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Steve Krouse's playable 16-judgment demo and video.
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An experiment using Jev to interpret voice commands and trigger tool actions before the user finishes speaking.
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A playful tool using Jev to provide random answers to questions.
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Testing Jev's performance in automating Android end-to-end tests, showing faster results compared to other tools.
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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 post about a virtual town where Jev makes all decisions, managing 120 people and various local structures.
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A macOS tool for identifying safe ports to stop, developed as a GitHub project.
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A community reference describing real-time generation of game levels for game development.
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A community tool allowing Jev to make decisions through command-line interactions for agent systems.
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A tool that analyzes public PR links to determine if they are safe to merge or need review, using Jev's capabilities.
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A community post describing a game where Jev routes trains to stations in real time without a solver.
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An experiment using Jev to enhance search functionality with intent recognition for improved user experience.
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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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