Пост запуска Jev
Диогу Алмейда представляет Jev, структурированную модель принятия решений TypeSafe. Посмотрите фильм о запуске и изучите оригинальный тред для подхода модели, примеров и отчетов автора о производительности.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Лучшее о Jev: реальные проекты, практические руководства и идеи со всего интернета.
Диогу Алмейда представляет Jev, структурированную модель принятия решений TypeSafe. Посмотрите фильм о запуске и изучите оригинальный тред для подхода модели, примеров и отчетов автора о производительности.
Официальное объявление запуска TypeSafe знакомит с лабораторией и направляет разработчиков к Jev. Включает фильм о запуске Диогу Алмейды и оригинальное введение.
TypeSafe объявляет о публичном доступе к Jev без списка ожидания. Официальный консоль — это отправная точка для тестирования типизированных решений в собственном приложении.
TypeSafe подчеркивает подход Jev с типизированным выводом: приложения предоставляют состояние и вопросы, затем действуют на основе вероятностей, выборов или оценок. Связанное объявление также касается интеграции API Venice.
Start with the Launch Post. Explore four official signals.
1 198 материалов
AI-assisted summaries and translations. Check original sources for context and performance claims.
A developer project featuring a small Jev-like model running on a MacBook, collected for the tools shelf.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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A command-line interface for Jev that provides answers and exit codes based on input questions.
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A tool for instant field mapping between templates and data sources, simplifying data alignment with one-click functionality.
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Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy.
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Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz.
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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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Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena.
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Framework for running end-to-end tests with agents using Jev.
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Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
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A tool for calibrating Jev's confidence thresholds, presented as an open-source solution.
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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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Jev Gamecast: replay-first React app that asks Jev typed questions about live sports data.
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Video comparison against a structured-output LLM baseline.
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A Jev-compatible public API using an open model for fast parallel processing.
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Jev enables fast search of physical library indexes.
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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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Jev offers versatile use cases, with a community post suggesting potential for rapid SaaS growth.
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Type-safe model router. Jev (System One) banks each request to a typed catalog route.
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Find, design, and evaluate TypeSafe Jev decision loops.
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Browser extension that classifies an article's framing, type, topic, and loaded language with Jev.
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Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems.
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2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model.
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Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model).
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Local Instagram, TikTok, and LinkedIn research where Jev chooses bounded socai browser operations and streams captured evidence into cited reports.
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Cost-aware LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.
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A 4-minute video explaining what Jev is and its limitations.
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Screens an AI agent's tool calls before they run and tool results before the agent reads them. An MCP proxy plus a hooks adapter for a client's built-in tools.
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Latency-first Rust SDK for TypeSafe System One.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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Claude Code Stop hook that blocks an unverified done: reads the transcript for evidence, asks Jev once, fails open on everything else.
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A developer project using Jev to play Pokémon Red by typing each turn.
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A developer created an instant calorie tracking app using Jev for quick responses.
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A project exploring pixel-level image generation through parallel decision-making processes.
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A predictive app launcher using Jev to interpret user intent and enhance app discovery.
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Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev.
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LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.
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X client with Jev smart rules that filter the timeline by usefulness, type, and topic.
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A research project auditing Jev's performance with the Spanish language.
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A 26-sheet construction plan set was classified in 2.9 seconds using Jev with an LLM pipeline, costing $0.0052 and matching GPT-4.1 and GPT-6 Astra performance.
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Командная строка для модели Jev TypeSafe AI. Отвечает на вопросы с да/нет, выбором и критериями, возвращая вероятности. Используется в оболочках и CI.
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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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Jev-assisted file retrieval and request caching for faster Pi workflows.
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Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.
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A 3D planetary rover sandbox for experimenting with autonomous decisions using TypeSafe AI.
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Autonomous Jev pull-request review with typed decisions, calibrated approval gates, and trusted-owner escalation.
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Work-in-progress PR reviewer with plain-English Jev rules.
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Официальная замена TypeSafeClient, работающая с API OpenAI, Anthropic и совместимых МОП, для сравнения Jev с чат-моделями.
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A game where Jev makes decisions to keep a city on a whale alive, integrated with GPT-6 Astra and H3 Max.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Интеграция SuperX с Jev позволяет быстро оценивать посты, анализируя 61 вопрос на пост за менее секунды с высокой точностью прогнозирования вирусного потенциала.
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Bounded TypeSafe Jev workflows for coding agents.
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A community post explaining Jev's role in improving agent efficiency and cost-effectiveness.
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Zero-shot English goals on a sim Franka. Jev chains hardcoded primitives.
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A developer project for automatic context clearing in Pi without losing conversation history.
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Official TypeSafe reference: Choice.
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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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Zod validates the shape, Jev validates the meaning: semantic checks on request bodies become calibrated probabilities you threshold in code.
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Official TypeSafe reference: Guardrails for LLMs.
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Swift SDK for TypeSafe AI.
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Runnable Jev examples through OpenRouter for immediate implementation.
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Chrome extension that asks Jev whether the page you are on is selling something or reporting first-hand experience, and marks Google results with verdicts it already has or snippet-only estimates, leaving low-confidence ones undecided.
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TrustGate — indie media T&S gate via TypeSafe Jev.
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Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning).
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Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
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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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TypeSafe AI (Jev) adversarial reviewer and typesafe_ask tool for the omp coding agent.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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Semantic MCP firewall powered by Jev — screens every tool call, tool result, and tool description with calibrated System One verification. 94% block recall, 0 false positives, ~$0.00002/check.
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Helper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review.
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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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