Jev lansman yazısı
Diogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
Diogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
TypeSafe'ın resmi lansman duyurusu, laboratuvarı tanıtır ve geliştiricileri Jev'e yönlendirir. Diogo Almeida'nın lansman filmi ve orijinal girişimi içerir.
TypeSafe, Jev'e açık erişimi duyurdu. Resmi konsol, uygulamanızda türden kararlar denemek için başlangıç noktasıdır.
TypeSafe, Jev'in türden çıktı yaklaşımını vurgular: uygulamalar durum ve sorular sağlar, ardından olasılıklar, seçimler veya puanlara göre hareket eder. Bağlantılı duyuruda Venice API entegrasyonu da yer alır.
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.
Jev is presented as a language generation tool in a community post, challenging perceptions about its capabilities.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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Context curator for Pi agent using Jev technology.
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Fazt presenta las decisiones estructuradas de Jev con ejemplos de Snake y clasificación de solicitudes de soporte.

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A command-line interface for Jev that provides answers and exit codes based on input questions.
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Jev tags X posts in real time with labels like 'breaking,' 'golden nugget,' or 'slop'.
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Everyday Stocks Status with Jev.
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An always-on assistant built with Jev that operates without a wake word, using probability to distinguish user intent.
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A real-time tool to analyze and categorize tweets for viral potential.
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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.
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Detects low-quality content in real-time as users scroll.
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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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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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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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Jev assists a Mac app by selecting relevant support articles from built-in documentation.
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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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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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Runnable Jev examples through OpenRouter for immediate implementation.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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An agent project that enforces policies by judging Claude Code tool calls.
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Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev.
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Trading bot with the all new TypeSafe AI's first system one model named as Jev.
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Integration of Jev into a game for fast and cost-effective performance.
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A Stop hook that stops your coding agent from stopping too early. Plain-language rules, judged by jev.
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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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A claude code plugin for jev.
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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.
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Agent makes rapid shopping decisions using Ego Lite and Jev. Completes 20 product evaluations in under 4 seconds.
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A research project auditing Jev's performance with the Spanish language.
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Small dependency-free CLI for TypeSafe Jev.
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Async Python client for TypeSafe Jev. Typed questions in, probabilities and choices out, no prose to parse.
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Typed System One layer for Rust (Choice/Score/Noul).
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Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.
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Describe your startup idea. Jev decides: kill it, fix it or ship it.
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TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring.
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Jev semantically formats spreadsheets instantly, with suggestions for integration into other platforms.
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Official TypeSafe reference: Score.
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Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history.
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JevArena — two Jev agents duel in click-only browser games (Browser Use + TypeSafe Jev).
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A community post describing an autonomous driving system using Jev to process real-time environmental data.
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Village NPCs that judge you each tick, deciding what to do and how they feel, instead of chatting.
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Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE).
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A creative project using Jev and other tools to generate digital art, specifically a painting of the Golden Gate Bridge.
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🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.
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A process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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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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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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A developer project using Jev to play Pokémon Red by typing each turn.
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Typesafe/Jev public X demo.
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Página do criador Leonardo Bissoli com seu vídeo, capítulos e referências sobre decisões estruturadas com Jev.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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A 4-minute video explaining what Jev is and its limitations.
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Playjev uses Jev for browser automation with decision-making capabilities.
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A developer project for model routing with caching and failover.
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TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer.
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A community post showcasing Jev's ability to rank exam questions by likelihood of appearing on real tests within 80 seconds.
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Snake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in code.
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Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counter.
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Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision.
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Browser automation with Jev (TypeSafe) as decision model.
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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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Community Go SDK for the TypeSafe System One API with typed Choice, Score, and Noul questions plus retries, contexts, and structured errors.
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A developer project for automatic context clearing in Pi without losing conversation history.
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Official TypeSafe reference: Re-ranking.
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Talk nicely or nastily over time; structured state tracks the mood.
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DGUI-HyperMem (DeckerGUI HyperMemory) - self-hosted hybrid memory MCP server on Cloudflare Workers with a JEV (Choice/Noul/Score) reasoning layer and a HuggingFace training-brain flywheel.
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