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.
semdecide provides a framework for typed semantic decision-making within Unix pipelines and CI environments. The tool utilizes TypeSafe AI Jev to integrate structured logic into command-line workflows, aiming to improve reliability in automated processing tasks.
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EnglishSnake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in code.
JEVLAB ARTEnglishThis repository provides a supervised Mint client designed to interface with the TypeSafe AI System One API. It serves as a practical implementation for developers looking to integrate TypeSafe AI functionality into their Mint-based projects.
JEVLAB ARTEnglishTypeSafe AI has introduced a machine-learning model designed for autonomous gameplay. This demonstration showcases the agent navigating and playing the classic game Doom to illustrate its decision-making capabilities in complex environments.
JEVLAB ARTEnglishThis project demonstrates the integration of Jev for browser automation tasks. It provides a framework for agents to perform web navigation and execute decision-making processes based on the provided Jev logic.
JEVLAB ARTEnglishThis tool provides a dependency-free CLI and Codex skill for Jev. It demonstrates a method for sending local state to Jev for batched typed judgments while keeping the original state private during the response process.
JEVLAB ARTEnglishTypeSafe の Jev を TypeScript SDK で使ってみる最初の 1 歩.
JEVLAB ARTEnglishThis project evaluates Jev for converting free-text player intent into structured server actions. The creator reports a 96% agreement rate and a 317 ms median latency for these automated mappings within a tabletop gaming context.
JEVLAB ARTEnglishThis command-line interface provides a direct way to interact with the Jev AI model. It demonstrates how developers can integrate Jev capabilities into terminal-based workflows for streamlined model access and execution.
JEVLAB ARTEnglishThis project provides an adversarial reviewer and a typesafe_ask utility designed for the omp coding agent. It demonstrates an approach to integrating TypeSafe AI principles into automated coding workflows to improve reliability and security during development tasks.
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x.comThis resource outlines a ten-step framework for integrating Jev into AI agent development workflows. It focuses on architectural strategies intended to improve operational cost efficiency when building and deploying autonomous agent systems.
JEVLAB ARTEnglishOpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
JEVLAB ARTEnglishBuild versioned judgment functions on TypeSafe's Jev once, then call the same published version from your backend over HTTP and from coding agents over MCP. The vendor key stays on your machine.
JEVLAB ARTEnglishUnofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.
JEVLAB ARTEnglishVal Town demo where 16 typed judgments update live as you type.
JEVLAB ARTEnglishThis repository provides a plugin designed to integrate Claude Code functionality with the jev ecosystem. It serves as a utility for developers looking to extend their agentic workflows using specific Claude-based code automation tools within the jev environment.
JEVLAB ARTEnglishThis plugin integrates TypeSafe Jev System One decision tools into the Hermes Agent framework. It provides specific functions for checking, routing, scoring, and evaluating agent decisions to improve operational logic and reliability within the system.
JEVLAB ARTEnglishThis repository provides a framework for implementing bounded, TypeSafe Jev workflows specifically designed for coding agents. It demonstrates how to structure agentic processes to maintain reliability and safety within automated software development tasks.
JEVLAB ARTEnglishThis developer project utilizes Jev to analyze and score sales call recordings. It demonstrates a practical application for automated performance evaluation within professional communication workflows.
JEVLAB ARTEnglishThis project features a guide-directed agent for World of Warcraft. The creator claims the system is designed to optimize and reduce in-game expenses as the agent continues to operate over extended periods of time.
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Milind SoniTipTour is an open-source AI-driven pointer assistant for macOS. It demonstrates how to integrate Jev or Gemini Live to enable cursor control through local processing, offering users a hands-free navigation experience on their desktop environment.
JEVLAB ARTEnglishChallenge the Jev's intelligence in Rubik Cube puzzles.
JEVLAB ARTEnglishThis 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 ARTEnglishWhat your last session knew, scored against what this one is doing. MCP server: a per-project ledger written as things happen, recalled per task with TypeSafe's Jev evaluation model via Vercel AI Gateway.
JEVLAB ARTEnglishCanny provides a mechanism to prevent AI coding agents from prematurely declaring tasks complete. It utilizes deterministic hooks and an append-only ledger to ensure evidence-based verification of work, operating with zero runtime dependencies.
JEVLAB ARTEnglishPractical, tested recipes for TypeSafe's Jev decision model on OpenRouter: support triage, database indexing, file organizing, tagging, taxonomies, dedupe, PII detection, extraction, search re-ranking and a browser agent.
JEVLAB ARTEnglishThis project demonstrates the integration of TypeSafe Jev as a decision-making layer for a coding agent. It explores how structured, quiet reasoning can be applied to automate software development tasks within the pi agent framework.
JEVLAB ARTEnglishJev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents.
JEVLAB ARTEnglishCrowdcheck is a tool designed to evaluate social media posts by simulating feedback from 10,000 synthetic personas. It aims to help users gauge potential audience reactions and refine content before publication.
JEVLAB ARTEnglishThis community-driven platform offers over 100 interactive AI use cases, games, and logic challenges. It features a mobile-friendly interface that allows users to edit prompts and perform A/B comparisons to evaluate different model outputs.
JEVLAB ARTEnglishThis tool utilizes Jev evaluation capabilities to rank Pi agent skills for specific tasks. It demonstrates a method for optimizing agent performance by matching specialized capabilities to user requirements through systematic assessment.
JEVLAB ARTEnglishThis resource introduces the TypeSafe Jev system, a new class of decision-only models. It provides a technical roundup covering the API, evaluation frameworks, adapter implementation, and skill integration for developers working with these specialized architectures.
JEVLAB ARTEnglishA tool for verifying generated code against specified requirements.
JEVLAB ARTEnglishA developer project for agents and browsers, where Jev selects actions within Codex Computer Use.
JEVLAB ARTEnglishThis command-line interface tool by Vercel Labs enables developers to interact with AI models directly in the terminal. It demonstrates how to integrate Jev as an evaluation model for automated performance testing and quality assessment tasks.
JEVLAB ARTEnglishThis experiment demonstrates a Gomoku match between two Jev instances. It provides source code and timing logs to illustrate how Jev agents interact and process game state during competitive play.
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日本語This resource demonstrates a skill router for MCP that enables Jev to select relevant skills directly. It aims to improve efficiency by replacing lengthy agent search processes with targeted skill identification.
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 tool utilizes typeful Jev and zero-sync architecture to facilitate the retrieval and synchronization of large repositories. It is designed to assist developers in streamlining the issue triage process through automated data handling.
JEVLAB ARTEnglishThis repository provides a Ruby client library designed to interface with decision models, specifically targeting Typesafe Jev. It serves as a practical tool for developers looking to integrate structured decision-making logic directly into their Ruby applications.
JEVLAB ARTEnglishThis repository provides a public demonstration of Jev and TypeSafe AI integration. It serves as a practical example for developers looking to implement preflight validation workflows within the Jev ecosystem.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI reference guide demonstrates standardized methods for extracting temporal data from unstructured text. It provides essential patterns for developers to implement reliable date parsing within their AI-driven applications.
JEVLAB ARTEnglishThis project demonstrates the integration of Jev to power non-player characters within a virtual representation of River Oaks, Houston. It serves as a technical experiment for implementing autonomous agent behaviors in a simulated game environment.
JEVLAB ARTEnglishJev4Mellea provides a functional adapter designed to integrate Jev with the Mellea framework. This tool facilitates interoperability between the two systems, allowing developers to bridge their respective workflows and data structures within a unified technical environment.
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 ARTEnglishThis repository demonstrates a Jev-style calibrated decision model built on the Qwen3.5-0.8B architecture. It explores the implementation of Choice, Score, and Noul decision frameworks within a compact language model environment.
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x.comA guide for installing Jev skills, highlighting its potential to replace traditional LLM usage.
JEVLAB ARTEnglishThis Chrome extension integrates Jev to analyze X posts for tone and sentiment. It allows users to perform a vibe-check on their draft content before publishing to ensure the message aligns with their intended communication style.
JEVLAB ARTEnglishThis command-line tool utilizes Jev to identify potential AI-generated low-quality content within user interfaces, copy, and agent instructions. It provides semantic taste checks to help developers maintain quality standards before deploying their projects.
JEVLAB ARTEnglishThis project provides a Neon Function proxy designed for the Neon AI Gateway. It demonstrates how to implement TypeSafe Jev routing to manage AI service requests within a structured and reliable development environment.
JEVLAB ARTEnglishThis demonstration showcases how Jev can track and respond to user sentiment over time. It utilizes structured state management to maintain a persistent mood profile based on the tone of ongoing interactions.
JEVLAB ARTEnglishDemos to test the effectiveness of TypeSafe's "Jev" System One Model.
JEVLAB ARTEnglishThis project provides a coding agent extension built upon the TypeSafe AI System One API. It demonstrates how to integrate Jev-based infrastructure into development workflows to facilitate automated coding tasks and agentic interactions.
JEVLAB ARTEnglishCommunity Go SDK for TypeSafe AI Jev / System One.
JEVLAB ARTEnglishA show-and-tell capability study for Jev, TypeSafe's System One decision model.
JEVLAB ARTEnglishThis tool integrates TypeSafe AI Jev to provide automated semantic checks for Git workflows. It demonstrates a method for executing sub-second pre-commit and pre-push validation gates to maintain code quality.
JEVLAB ARTEnglishJev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
JEVLAB ARTEnglishPrompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev.
JEVLAB ARTEnglishThis unofficial Java SDK provides integration for TypeSafe Jev and Vercel AI Gateway. It demonstrates how to implement these services within Spring Boot applications using WebClient for network communication.
JEVLAB ARTEnglishThis project demonstrates an agentic browser runtime that utilizes TypeSafe Jev for decision-making processes. It showcases how the Jev model integrates with the Aside runtime to manage choice, scoring, and noul operations within a web environment.
JEVLAB ARTEnglishCommunity Rails integration on the typesafe-sdk gem: configuration, persisted usage and cost telemetry, and opt-in confidence policies.
JEVLAB ARTEnglish1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
JEVLAB ARTEnglishTypeSafe Jev playground — custom Choice/Score/Noul builder with live distributions.
JEVLAB ARTEnglishThis project demonstrates an autonomous agent designed to interact with PlayStation 2 hardware. It utilizes the TypeSafe Jev System One to process real-time visual telemetry, providing a heads-up display for monitoring the agent's performance during gameplay.
JEVLAB ARTEnglishJanus demonstrates a calibration and confidence-based routing system for decision-making tasks. The project reports an 80.2% accuracy rate on the Banking77 dataset, with the author claiming a specific cost efficiency of $0.103 per 500 decisions.
JEVLAB ARTEnglishThis project provides a local computer-use interface tailored for Codex and Waku environments. It demonstrates a streamlined workflow for developers seeking to integrate automated task execution directly within their local machine setups.
JEVLAB ARTEnglishThis integration connects Home Assistant with TypeSafe Jev. It allows users to query household data and receive probabilities, choices, or scores as distinct entities within their smart home dashboard.
JEVLAB ARTEnglishThis project explores the feasibility of running Jev-based workflows using local large language models. It provides a framework for users to experiment with private, offline implementations of Jev architectures on their own hardware.
JEVLAB ARTEnglishThis tool provides real-time tone analysis for Bluesky posts and drafts. It demonstrates an integration with the TypeSafe Jev API to automatically label the emotional sentiment of text content before publication.
JEVLAB ARTEnglishThis curated repository serves as a comprehensive Chinese-language directory for Jev and TypeSafe System One resources. It aggregates official documentation, SDKs, popular applications, agent tools, and open-source projects to assist developers in navigating the ecosystem.
JEVLAB ARTEnglishThis project integrates Jev into Noul and Score frameworks to support MCP applications. It demonstrates how developers can implement type-safe structures within agentic workflows to improve reliability when building modular AI-driven systems.
JEVLAB ARTEnglishJEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
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4 HIGHLIGHTS
18
Decisions & routing
Games & real time
Tools & apps
Agents & browsers
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Research & data
Creative & growth
Devices & robotics