JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida introduces Jev, a structured decision model from TypeSafe. This resource provides an overview of the model's core approach, practical examples, and performance metrics as reported by the author.
TypeSafe AI@typesafeaiOFFICIALTypeSafe officially launches its research lab and introduces Jev to the developer community. This announcement features a launch film by Diogo Almeida and provides foundational context for the project's mission and future direction.
TypeSafe AI@typesafeaiOFFICIALTypeSafe has removed the waitlist for Jev, allowing public access to the platform. Developers can use the official console to integrate and test typed decision-making capabilities within their own software applications.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe highlights Jev’s typed-output approach, where applications provide state and questions to receive structured probabilities, choices, or scores. The announcement also details the integration of the Venice API for developers.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
AI-assisted summaries and translations. Check original sources for context and performance claims.
A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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EnglishThis Rust SDK provides an interface for interacting with TypeSafe System One. It is designed to prioritize low-latency operations for developers building systems that require strict type safety within the Jev ecosystem.
JEVLAB ARTEnglishThis project provides a Rust implementation of the system-one-adapter, designed to facilitate LLM-backed evaluations. It serves as a technical port for developers looking to integrate system_one evaluation methodologies within a memory-safe Rust environment.
JEVLAB ARTEnglishjev-seo is a Rust-based CLI suite and MCP server designed for agent-first SEO and GEO tasks. It utilizes the TypeSafe Jev System One and DuckDuckGo to provide search-driven insights as an alternative to traditional commercial SEO platforms.
JEVLAB ARTEnglishThis resource demonstrates the integration of Jev into security workflows. The creator claims that Jev improves pipeline efficiency, reporting a fivefold reduction in costs and faster processing speeds while maintaining higher accuracy compared to smaller models.
JEVLAB ARTEnglishThis guide outlines the core architecture of Jev AI, specifically detailing three distinct categories of micro-decisions. It serves as an educational resource for understanding how the system processes granular operational choices to facilitate automated decision-making workflows.
EnglishThis project demonstrates the integration of TypeSafe Jev with Mobile MCP to facilitate structured control loops on Android devices. It provides a framework for developers to implement responsive agent-based interactions within mobile environments.
JEVLAB ARTEnglishThis resource demonstrates the use of Jev for real-time coaching support. It highlights how the tool assists users in identifying and correcting errors or inconsistencies during writing sessions to improve overall quality.
JEVLAB ARTEnglishspendbrake provides a mechanism for managing AI agent expenditures. It demonstrates how to implement budget controls by enabling users to continue, downgrade, or stop agent operations using TypeSafe Jev.
JEVLAB ARTEnglishA small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output.
JEVLAB ARTEnglishThis project integrates three Jev-powered agents into a first-person shooter environment. It demonstrates multi-agent coordination within a real-time combat setting, showcasing how Jev models can function as autonomous players in competitive gaming scenarios.
JEVLAB ARTEnglishThis research project presents an English–Icelandic dictionary application. It demonstrates the use of Jev to rerank search results, aiming to improve the accuracy and relevance of the dictionary entries provided to users.
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生ビールThis project demonstrates a local Jev model configuration designed for task processing. The creator suggests this approach may offer potential improvements in execution speed compared to cloud-based alternatives for specific local workflows.
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Ilias IsmThis project demonstrates migrating hard-coded logic into Jev to optimize AI processing workflows. The creator claims this transition improves efficiency and reduces operational costs for tools like aiseotracker and linkdr.
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x.comA community guide outlining 10 steps to implement Jev for faster decision-making in AI agent systems.
JEVLAB ARTEnglishThis collection features interactive board games where gameplay mechanics and strategic decisions are powered by Jev. It serves as a practical demonstration of integrating automated decision-making logic into traditional tabletop gaming formats.
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fatwang2A free open-source search tool powered by Jev and a search API for plain language queries.
JEVLAB ARTEnglishThis experiment demonstrates Jev selecting legal moves during a chess match. The creator compares its performance against established reasoning models to evaluate decision-making capabilities within the constraints of the game.
JEVLAB ARTEnglishLeonardo Bissoli demonstrates how Jev facilitates structured AI decision-making. The presentation covers the integration of confidence scores, operational boundaries, and practical examples for implementing these decision frameworks within software applications.
PortuguêsJevals provides a local testing environment designed for evaluating Jev requests. The project demonstrates how users can refine and improve their output quality by applying specific primitive operations within a controlled development workflow.
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Chris AdcockThis project demonstrates how Jev allows Grok Bot to directly control the Chrome browser. It aims to replace manual clicking with automated task execution, potentially increasing efficiency for browser-based workflows as claimed by the creator.
JEVLAB ARTEnglishThis project provides a semantic code search and diff auditing tool for AI coding assistants like Antigravity, Cursor, and Claude Code. It utilizes TypeSafe System One to help developers verify code changes and improve search efficiency within their development workflows.
JEVLAB ARTEnglishTypeSafe AIOfficial TypeSafe reference: Knowledge graph entity alignment.
JEVLAB ARTEnglishThis project implements an MCP server designed to optimize token consumption for coding agents. It demonstrates a routing approach intended to streamline data processing, though users should evaluate its efficiency in their specific development workflows.
JEVLAB ARTEnglishThis repository provides a Go client library for interacting with the TypeSafe API. It is designed to assist developers in integrating TypeSafe functionality directly into their Go-based applications and tooling workflows.
JEVLAB ARTEnglishA resource explaining Jev Engineering methodology for AI agent development.
JEVLAB ARTEnglishA 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
JEVLAB ARTEnglishThis repository provides a curated collection of official resources and community-driven projects focused on TypeSafe, System One models, and Jev. It serves as a centralized directory for developers seeking to explore the ecosystem and integrate these technologies into their workflows.
JEVLAB ARTEnglishThis Python package utilizes typesafe.ai to evaluate code comments based on specific heuristics. It demonstrates an automated approach to assessing documentation quality within a codebase by applying structured analysis to developer-written comments.
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Sarvagya KulshreshthaThis project demonstrates an automated recruitment tool designed to evaluate candidate profiles against hundreds of companies. The creator claims the system generates compatibility confidence scores for 400 organizations within a twelve-second processing window.
EnglishThis project demonstrates the application of Jev to predict human move patterns in a game of rock-paper-scissors. The creator claims the system identifies behavioral trends to anticipate player choices during competitive play.
JEVLAB ARTEnglishThis GitHub Action automates issue triage by applying labels like spam or duplicate based on user-defined confidence thresholds. It demonstrates a conditional approach to repository management, ensuring labels are only assigned when specific criteria are met.
JEVLAB ARTEnglishrh-guard provides a reward-hack detection mechanism for coding agents. It utilizes structural denies and a TypeSafe Jev System One sidecar to monitor hooks within Claude Code and Cursor, aiming to identify potential reward-hacking behaviors during automated development tasks.
JEVLAB ARTEnglishjev-shield is a semantic MCP firewall utilizing Jev for verification. The creator claims it screens tool interactions with high recall and low latency, aiming to provide a secure layer for monitoring tool calls, results, and descriptions within agentic workflows.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI guide demonstrates how to implement classification tasks by leveraging confidence scores. It explains the methodology for evaluating model output reliability to improve decision-making accuracy in automated classification workflows.
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Ian NuttallThis project demonstrates the integration of Jev on Cloudflare Workers to enhance search functionality and content tagging for keep.md. It highlights a practical implementation of serverless architecture to improve data organization and retrieval efficiency within a markdown-based environment.
JEVLAB ARTEnglishThe first general-purpose System One agent for Jev.
JEVLAB ARTEnglishjevchat is a research-oriented chatbot project designed to process and respond to user-typed inquiries. This repository serves as a functional demonstration of conversational interaction patterns within a broader collection of experimental language processing tools.
JEVLAB ARTEnglishThis project presents a cooperative platform shooter where a TypeSafe Jev agent acts as a teammate. It demonstrates an experimental integration of autonomous AI agents within a fast-paced gaming environment to facilitate collaborative player-AI gameplay dynamics.
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appcypherThis experimental game demonstrates how Jev AI can generate multiple branching timelines to prevent character death. The project explores real-time decision-making processes within a classic gaming framework to maintain continuous gameplay.
EnglishThis repository provides a framework for discovering, designing, and evaluating TypeSafe Jev decision loops. It serves as a research-oriented utility for developers aiming to structure and validate automated decision-making processes within the Jev ecosystem.
JEVLAB ARTEnglishCode quality and test coverage for coding agents: Jev scores each source file so the agent knows what to fix first.
JEVLAB ARTEnglishA developer project for automatic context clearing in Pi without losing conversation history.
JEVLAB ARTEnglishThis experiment explores using Jev to implement real-time model selection within AI agents. It demonstrates a workflow approach for dynamically routing tasks to specific models based on immediate requirements.
JEVLAB ARTEnglishThis repository provides a public demonstration of Jev and TypeSafe AI integration. It illustrates how to implement decision-making logic for application processes using these frameworks, serving as a practical reference for developers exploring automated evaluation workflows.
JEVLAB ARTEnglishThis proof-of-concept demonstrates low-latency audio censorship by integrating Jev typed decisions with ffmpeg. It illustrates how structured decision-making can be applied to real-time media processing workflows.
JEVLAB ARTEnglishThis project demonstrates an automated email management system using Jev. It provides a configuration-driven approach to classify, tag, move, and flag incoming messages, showcasing how TypeSafe AI models can be applied to streamline personal inbox organization workflows.
JEVLAB ARTEnglishThis project features a non-autoregressive decision engine built on ModernBERT. It demonstrates the integration of calibrated uncertainty via RLCD and provides a WebGPU-based playground for auditing TypeSafe AI Jev benchmarks.
JEVLAB ARTEnglishThis repository evaluates TypeSafe System One primitives including Choice, Score, and Noul. It demonstrates how typed oracle structures can provide more reliable outputs compared to standard large language model calls for specific decision-making tasks.
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x.comThese technical notes detail the architecture of Jev, specifically focusing on its implementation of parallel processing and its ability to output probabilities without relying on traditional text generation methods.
JEVLAB ART日本語TypeSafe AIThis official reference document outlines the core principles of System One. It serves as a foundational guide for understanding the architectural framework and conceptual design patterns utilized within the TypeSafe AI ecosystem.
JEVLAB ARTEnglishReusable GitHub Action: agent fix loop gated by checks, an AI reviewer, and TypeSafe Jev.
JEVLAB ARTEnglishA tool that analyzes Tetris board positions and selects optimal placements in under half a second.
JEVLAB ARTEnglishA developer project for agents and browsers, where Jev selects actions within Codex Computer Use.
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Trinay HariA 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.
Englishtenbin provides an MCP server and agent skill for the TypeSafe AI System One API. It demonstrates how to decompose judgments into choice, score, and noul questions, perform linting, and calibrate thresholds using labeled data.
JEVLAB ARTEnglishThis project provides an open-source router that integrates Jev with LiteLLM to dynamically select appropriate language models. It demonstrates a method for implementing type-safe model routing within AI agent workflows.
JEVLAB ARTEnglishA Mac voice diary tool that uses Jev for sorting and integrates with Notion.
JEVLAB ARTEnglishJev picks rotation and column from holes, stack height, and bumpiness.
JEVLAB ARTEnglishRust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.
JEVLAB ARTEnglishA community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
JEVLAB ARTEnglishWXT browser extension: Jev-powered page clutter removal with reusable template rules.
JEVLAB ARTEnglishMinecraft mod where Jev tries to finish the game from scratch without a scripted route.
JEVLAB ARTEnglishThis tool demonstrates a method for detecting the end of voice-dialogue turns. It utilizes Jev scores processed immediately following speech input to determine when a user has finished speaking, facilitating more natural conversational flow in interactive avatar systems.
JEVLAB ARTEnglishOne AI trade decision every Monad block. Jev on Kuru MON-USDC.
JEVLAB ARTEnglishA moderation system for Mastra agents that processes inputs in a single file.
JEVLAB ARTEnglishPrompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev.
JEVLAB ARTEnglishTypeSafe'in Jev karar modeli gerçek bir online 2048 sitesinde oynuyor — hamle başına tek API çağrısı, tek anahtar.
JEVLAB ARTEnglishThis project provides runtime authorization and guardrails for AI-agent tool calls. It utilizes deterministic policies and TypeSafe Jev integration via OpenRouter to manage agent interactions securely.
JEVLAB ARTEnglishA community post explores Jev's decision-making in ethical scenarios, comparing different approaches.
JEVLAB ARTEnglishThis project demonstrates a semantic routing mechanism for the Hono web framework. It utilizes Jev to interpret and route incoming HTTP requests based on their underlying meaning rather than traditional path-based patterns.
JEVLAB ARTEnglishThis community project demonstrates the potential of Jev to function as a computing environment by emulating a 6502 processor. It serves as an experimental proof-of-concept for running legacy hardware architectures within the Jev framework.
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4 HIGHLIGHTS
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