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.
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Recent activityA 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.
Zod validates the shape, Jev validates the meaning: semantic checks on request bodies become calibrated probabilities you threshold in code.
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Grok skill: Jev as a judgment sensor in a builder-agent loop (priors × probabilities → next act).
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Snake controlled by parallel Jev assessments, with one API call per game tick.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
JEVLAB ARTSource-linked curation
Grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.
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Jev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
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Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
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Small dependency-free CLI for TypeSafe Jev.
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Short practical intro with a Python ticket-triage example.
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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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Input moderation for Mastra agents on TypeSafe Jev — one file.
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A self-hosted skills library with optional Jev recommendations.
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A graphical developer project featuring routing, Tetris, swarms, and a gauntlet for gaming purposes.
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Official TypeSafe reference: Line-by-line search.
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Low-latency audio censorship POC using Jev typed decisions and ffmpeg.
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Desktop writing app using Jev for fast structured writing judgments.
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A developer project for automatic context clearing in Pi without losing conversation history.
JEVLAB ARTSource-linked curation
A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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Jev is integrated into tools like Noul and Score for MCP applications.
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A collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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I tortured Jev into being a RISC-V CPU.
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Automates email categorization of 63,045 emails in under 3 minutes at low cost.
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Trading bot with the all new TypeSafe AI's first system one model named as Jev.
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Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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PulseLane — clinic triage decisions via TypeSafe Jev.
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Uses typeful jev, zero sync to pull and sync large repositories for issue triage.
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A small, extensible decision-to-action harness for TypeSafe Jev.
JEVLAB ARTSource-linked curation
Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex).
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A polished OpenAI + TypeSafe Jev terminal interface for answers with transparent decision reports.
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Val Town demo where 16 typed judgments update live as you type.
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Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data.
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Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev.
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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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Using Jev on Cloudflare Workers to improve search and content tagging efficiency on keep.md.
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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
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Benchmarks Jev against other evaluation models in games with explicit states, legal actions, and measurable outcomes.
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Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。
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Software Factory Foreman: an agent supervisor that uses Jev decisions to keep coding agents on task.
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Community Rails integration on the typesafe-sdk gem: configuration, persisted usage and cost telemetry, and opt-in confidence policies.
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Pre-commit hook: one Jev call judges whether your commit message matches the staged diff, plus debug leftovers, unmentioned work, and a credential check.
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Pick the best AI model and reasoning effort for any task in ~1s. Plugin for Claude Code, Claude Desktop and Codex, powered by TypeSafe's Jev decision model and live OpenRouter pricing. Balance intelligence, speed and cost, or choose your priority.
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Active-learning CLI that uses human labels and GEPA to improve Jev decision definitions.
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Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.
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Pagina principale dell'azienda, lista di attesa e panoramica dei prodotti.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
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A LangChain package with TypeSafeClassifier for integrating Jev into applications.
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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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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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Official TypeSafe reference: Client SDKs.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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Unofficial go sdk for typesafe ai.
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Jev generates piano music by selecting notes and chords based on input sequences.
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A game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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Integrates Jev into apps for smart autofill features improving user experience.
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Unofficial Java SDK for TypeSafe Jev and Vercel AI Gateway, with Spring Boot and WebClient support.
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Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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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.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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A resource explaining Jev Engineering methodology for AI agent development.
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Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.
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TypeScript CLI that finds code, docs, logs, and text by natural-language conditions using Jev Noul judgments, with probability thresholds, source lines, and cached results.
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End-to-end Jev-style structured-decision stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, preliminary RLCD, local serving, and interactive replay.
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