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.
A 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 user tested the new Jev model and shared insights about its significance for System One models.

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A tool using Jev to efficiently evaluate content by producing probabilities instead of text, faster and cheaper than traditional models.
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CLI that uses Jev to catch AI slop in UI, copy, and agent instructions before ship (probabilities on semantic taste checks).
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An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.
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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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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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Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
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Probably: live BTC, ETH, and XRP prices with a shared TypeSafe buy-or-wait demonstration. No trades placed.
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Filter command output for coding agents using a task description.
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Video comparison against a structured-output LLM baseline.
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A developer project involving three Claude Code hooks that query Jev for specific information.
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Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, so a model can make narrow semantic judgments while your code and your users keep control of thresholds, weights, and actions.
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Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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A local Jev model for processing tasks with potential for improved speed.
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A community post shares a tech talk by Jev's founder, highlighting its speed, cost-effectiveness, and lack of hallucination.
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Racing UI wired to Jev driving decisions.
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Hand the browser work off: an MCP server where a decision model drives the page for your agent, so a flow costs one tool call instead of a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay. Speaks CDP to your Chrome.
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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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Screens 360 resumes in 24.2 seconds with low cost and automated scoring.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.

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An integration with jev by typesafe.ai in Rust.
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Jev offers structured decision-making for security workflows with high speed.
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An MLP trained on Qwen 4B that functions similarly to Jev, offering a typesafe alternative.
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Turn any open model into a classifier/jev endpoint.
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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Reward-hack radar for coding agents: structural denies + TypeSafe Jev System One sidecar for Claude Code & Cursor hooks.
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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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Официальный клиент TypeScript/JavaScript с выводом типов ответов. npm install @typesafe-ai/sdk.
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Integrates Jev into apps for smart autofill features improving user experience.
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Fast JEV compaction extension for pi.
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Playable board games driven by Jev decisions.
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A macOS app that automatically organizes downloaded files using rules.
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Utilizing Jev, the RLCD-type model provided by TypeSafe AI, to independently and cheaply judge agentic coding sessions.
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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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A sandbox where a TypeSafe System One model presses the controls of a small creature. Code runs the world.
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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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Shady Town: social-deduction party game for the living room TV, moderated by TypeSafe Jev.
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Jev (TypeSafe) 性能評価プロジェクト — 日本郵便 KEN_ALL をマスタに、AI SDK 経由の Jev が住所のあいまい一致にどこまで使えるかを検証.
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USER + JEV: P(DOOM) PROTOCOL — co-op platform shooter where TypeSafe Jev plays alongside you.
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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 GitHub project showcases Jev's performance in a chess benchmark, achieving perfect gameplay with minimal cost.
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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Effect-agnostic Scala 3 client for the System One API that runs on any sttp backend (Future, cats-effect, ZIO, Monix, or blocking) with answers typed by question value.
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Put your code comments on trial. Powered by Jev.
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AI life-and-civilization simulation: TypeSafe Jev makes every decision (typed, probabilistic, auditable); LLMs plan — OpenAI-compatible APIs, local models (Ollama, LM Studio), Claude Code, Codex.
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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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A PostgreSQL extension enabling natural language queries across databases.
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A real-time flight simulation game controlled by Jev's decision-making capabilities.
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A livestream analyzing Jev's architecture for JSON-predicting models.

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Using Jev on Cloudflare Workers to improve search and content tagging efficiency on keep.md.
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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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Community Rails integration on the typesafe-sdk gem: configuration, persisted usage and cost telemetry, and opt-in confidence policies.
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Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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Jev reviews pull requests with 14 automated checks, detecting issues like hardcoded secrets and SQL patterns.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.
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Audit your git diff against YAML coding-standards packs using TypeSafe's Jev model, from a CLI or your AI agent's command/skill.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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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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Does Jev predict stock returns from news? It reads the news well; there is no tradeable alpha. Three arms separate reading from recall.
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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion.
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Per-call GPT model routing for Codex: Jev chooses model and effort, a local Responses proxy keeps the tool loop intact, then independent verification and Router Compass check whether the task still passed.
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A chat bot using Jev without a large language model, providing instant responses by integrating web search, Wikipedia, weather, and other tools.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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An evaluation of typesafe AI chess. As it turns out, the AI isn't doing really well even though chess is not a particularly open-ended game. Still, it's only a prototype and this probably wasn't optimzied for games.
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Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.
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