Il post di lancio di Jev
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
A FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
L'annuncio ufficiale di lancio di TypeSafe introduce il laboratorio e indica agli sviluppatori di Jev. Include il filmato di lancio di Diogo Almeida e l'introduzione originale.
TypeSafe annuncia l'accesso pubblico a Jev senza lista d'attesa. La console ufficiale è il punto di partenza per provare le decisioni tipizzate nelle proprie applicazioni.
TypeSafe evidenzia l'approccio di output tipizzato di Jev: le applicazioni forniscono stato e domande, quindi agiscono su probabilità, scelte o punteggi. L'annuncio collegato copre anche l'integrazione dell'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 practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.
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Jev is HERE. How to use it. A resource explaining how to access Jev through the Vercel AI Gateway and its potential business applications.

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A tool that finds local makers using Jev, claiming high accuracy.
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An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
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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 YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.

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TypeSafe structured-output provider for RubyLLM 2.
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Jev vs Jev gomoku with source and timing logs.
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A developer project for lead scoring in Clay using Jev.
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A playful tool using Jev to provide random answers to questions.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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Unofficial go SDK for typesafe AI, with typed answers, retries, and context support.
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A developer project involving three Claude Code hooks that query Jev for specific information.
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TypeSafe Jev playground — custom Choice/Score/Noul builder with live distributions.
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Abilità dell'agente ufficiale per Claude Code, Codex e agenti compatibili: primitive, modelli e come strutturare le valutazioni.
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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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Personal-assistant agent built on Vercel's eve with 100 mocked tools, measuring how many steps it takes when Jev picks the tool versus the LLM.
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Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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Everyday Stocks Status with Jev.
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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Jev (TypeSafe) model router on the Vercel AI Gateway.
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A tool that uses Jev to quickly decide on GitHub PR approvals by analyzing CI, diff size, and reviews in 200 ms.
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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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A research project evaluating the practical value of Jev's confidence scores for task execution.
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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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A system that quickly captures user interface flows on demand, enabled by Jev's fast processing capabilities.
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A tool that identifies App Store keywords by analyzing competitors and using Jev to filter relevant terms.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev.
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A collection of GitHub repositories highlighting practical and developmental Jev projects, including browser agents and trading bots.
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Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word.
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An experimental programming language for constructing Jev-based queries, aimed at developers.
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Jev enables fast search of physical library indexes.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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Antivirus scanner and real-time defense sentinel: extracts structural features from executables, scripts, and documents (entropy, hashes, strings, PE imports) and has Jev judge whether each is malicious.
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Official TypeSafe reference: Skill suggestion.
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Experimental: live X draft viral scorer powered by TypeSafe Jev.
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Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic.
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JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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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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Browser use using Typesafe's Jev model.
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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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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Head-to-head test at validating local event listings, with cost and latency.
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A setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
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Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit.
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A Kotlin DSL and client for TypeSafe's Jev model.
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Official TypeSafe reference: State.
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A guide on integrating Jev with LiteLLM for simplified model calls through an existing proxy.
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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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Playjev uses Jev for browser automation with decision-making capabilities.
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A flexible and configurable CLI model router using TypeSafe Jev.
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A community tool that filters work-in-progress todos based on semantic meaning, not just keywords.
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Papers, open reproductions and independent evaluations behind System One models and Jev.
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Typesafe AI SDK in Elixir using Req.
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Tutorial covers API setup and building prototypes with Jev and LLMs.

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A command-line interface for Jev that provides answers and exit codes based on input questions.
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Typesafe/Jev public X demo.
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CartShield — SMB checkout fraud disposition via TypeSafe Jev.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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Utilizes Jev for quick coaching support and detecting and fixing slop during sessions.
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A demonstration where Jev was given $10,000 to trade.
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An idiomatic Elixir client for the TypeSafe AI API.
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Jev adapter to Mellea.
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Train a small model that chooses among a changing list of text options, one probability per option in a single pass. Includes Doom, chess, and Wikispeedia demos.
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Jev tags X posts in real time with labels like 'breaking,' 'golden nugget,' or 'slop'.
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NPCs of River Oaks Houston, Texas using Jev to power NPCs.
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