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.
1,263 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
This single-file implementation provides input moderation capabilities for Mastra agents integrated with TypeSafe Jev. It demonstrates a streamlined approach to filtering agent interactions to ensure safer and more controlled AI communication flows.
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EnglishTyped decisions with TypeSafe's Jev, the first System One model.
JEVLAB ARTEnglishThis project demonstrates fine-grained robot control using Jev. It provides physics-based previews and configurable tasks within the LIBERO framework to help users experiment with robotic manipulation and simulation environments.
JEVLAB ARTEnglishPractical guide: playground, Python and JS SDKs, raw HTTP, and the agent skill.
JEVLAB ARTEnglishThis project demonstrates zero-shot English language goal execution on a simulated Franka robotic arm. It utilizes Jev to chain together hardcoded primitives to perform specific manipulation tasks based on natural language instructions.
JEVLAB ARTEnglishA visual TypeSafe demo where Jev chooses verified Tetris placements.
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.
JEVLAB ARTEnglishThis project evaluates the calibration of Jev using 900 rule-generated support tickets and public benchmarks. It provides an independent analysis of model miscalibration through ECE metrics and temperature refitting, offering a reproducible framework for testing model reliability.
JEVLAB ARTEnglishThis tool converts AGENTS.md preference files into a Jev-powered linter. It demonstrates a method for automating the validation of agent configurations by leveraging Jev architecture to enforce defined behavioral standards during the development process.
JEVLAB ARTEnglishvon is an open-source System One decision model designed as a local, non-autoregressive alternative to TypeSafe Jev. The creator claims the model achieves sub-15ms inference speeds for decision-making tasks.
JEVLAB ARTEnglishTypeSafe AITypeSafe 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 ARTEnglishTyped decisions from a System One model. An uncertain answer is a different type from a confident one — and the compiler makes you handle it.
JEVLAB ARTEnglishThis project compares Jev against Gemini 3.8 Flash by labeling 1,000 app reviews. The creator claims the Jev implementation achieves significantly faster processing speeds and lower costs compared to the Gemini model in this specific task.
JEVLAB ARTEnglishThis repository provides a community-driven collection of over 110 AI use cases, games, and logic challenges. It features a mobile-friendly interface that allows users to edit prompts and perform A/B comparisons between different model outputs.
JEVLAB ARTEnglishThis browser-based playground provides an interface for interacting with Jev, the decision model developed by TypeSafe AI. It utilizes the Vercel AI Gateway to facilitate direct experimentation with the model's decision-making capabilities within a web environment.
JEVLAB ARTEnglishTypeSafe AIThis official reference documentation details advanced structural primitives for TypeSafe AI. It provides technical guidance on organizing complex data architectures to ensure consistency and reliability within AI-driven development workflows.
JEVLAB ARTEnglishMinecraft mod where Jev tries to finish the game from scratch without a scripted route.
JEVLAB ARTEnglishJev-compatible System 开源Jev.
JEVLAB ARTEnglishComment-moderation playground: paste a comment, Jev decides what to do with it.
JEVLAB ARTEnglishThis project demonstrates an implementation of web browser automation utilizing the Jev model. It provides a framework for agents to interact with web interfaces, showcasing how Jev can be applied to navigate and perform tasks within a browser environment.
JEVLAB ARTEnglishThis Chrome extension integrates the Jev model to assist with Gmail management. It demonstrates automated email triage by assigning categories, priority levels, and estimated spam or reply probabilities to incoming messages within the user interface.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI reference guide explains the self-consistency method for improving model output reliability. It demonstrates how to evaluate multiple reasoning paths to select the most consistent response when addressing complex logical tasks.
JEVLAB ARTEnglishHigh-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).
JEVLAB ARTEnglishAsync LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.
JEVLAB ARTEnglishThrow 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.
JEVLAB ARTEnglishThis tool integrates Chrome DevTools with MCP to enable automated browser navigation. It demonstrates a workflow where an agent identifies a target location and executes a specific DevTools command to perform tasks.
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x.comA collection of GitHub repositories highlighting practical and developmental Jev projects, including browser agents and trading bots.
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日本語This project demonstrates a Typesafe.ai System One model designed to navigate Neo4j graph databases. It utilizes a classifier to analyze neighboring relationships, providing a structured approach for Jev-based graph traversal and decision-making processes.
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x.comThis proposal explores the implementation of custom Jev-style models designed to streamline agent workflows. The author suggests that these specialized models could potentially lower computational expenses during complex decision-making tasks within automated agent systems.
JEVLAB ARTEnglishThis resource introduces the typesafe-ai provider for the Vercel AI SDK. It demonstrates how to utilize the experimental_evaluate function while incorporating jev-latest as an evaluation model for testing AI outputs within a development environment.
JEVLAB ARTEnglishJev-Trades is a trading bot implementation that utilizes the Jev system one model from TypeSafe AI. This project serves as a demonstration of integrating early-stage Jev model logic into automated market trading workflows.
JEVLAB ARTEnglishAn educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
JEVLAB ARTEnglishThis official TypeScript and JavaScript client provides developers with inferred answer types for Jev integrations. It demonstrates how to implement type-safe communication patterns within web applications using a standardized SDK approach.
JEVLAB ARTEnglishThis tool demonstrates a method for verbatim Jev-scored context reduction within omp environments. It provides an interface for managing data flow across TypeSafe or OpenRouter platforms to optimize context usage for AI agents.
JEVLAB ARTEnglishFUn little experiment with Typesafe AI Jev Model playing chess against stockfish :).
JEVLAB ARTEnglishTypeSafe AIThis official reference guide outlines the implementation steps for the TypeSafe AI Python SDK. It provides developers with the necessary instructions to integrate and utilize the library within their local environments for structured AI interactions.
JEVLAB ARTEnglishThis position paper introduces the Deferred Crispification principle and the BSF-S1 architecture. It argues for integrating Hidden-Markov and fuzzy primitives into Jev and System-One decision models to improve TypeSafe AI framework capabilities.
JEVLAB ARTEnglishJev trades 15-minute and 1-hour BTC, ETH, and SOL markets on Kalshi.
JEVLAB ARTEnglishThis repository provides Jev judgments for Agent Zero, incorporating typed tools and probability cards. It demonstrates a framework for enhancing agent reliability through structured type-safe interactions and probabilistic decision-making processes.
JEVLAB ARTEnglishThis project demonstrates a method for verbatim context compaction using TypeSafe Jev decision-making. It provides an experimental approach to optimizing data processing within Jev-based agent architectures.
JEVLAB ARTEnglishJevLint provides configurable semantic linting for codebases using Jev. The tool demonstrates file-level NOUL judgments and includes a plugin designed to manage magic strings, offering a structured approach to maintaining code quality through semantic analysis.
JEVLAB ARTEnglishTypeSafe AIThis official documentation provides the reference for the TypeSafe AI JavaScript SDK. It outlines the necessary methods and integration patterns for developers to implement TypeSafe functionality within their JavaScript-based applications.
JEVLAB ARTEnglishA simple Spring Boot 4 starter for TypeSafe Jev using Spring MVC and RestClient.
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.
JEVLAB ARTEnglishThis research project investigates how the Jev architecture handles Spanish language processing. It serves as an experimental audit to evaluate linguistic performance and character handling within the Jev framework.
JEVLAB ARTEnglishThis project demonstrates an autonomous drone navigation system using Jev. It showcases the capability to pilot a drone between two points in a simulated urban environment while actively avoiding obstacles during the flight path.
JEVLAB ARTEnglishThis 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 ARTEnglishThis project integrates Stockfish engine analysis with Jev-based decision logic to provide real-time strategic guidance for chess players. It demonstrates a method for combining traditional chess engines with modern AI judgment systems.
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 ARTEnglishThis repository provides TypeScript-based experiments and evaluations for the Jev model. It serves as a technical resource for developers to analyze model performance and latency through structured benchmarks and testing frameworks.
JEVLAB ARTEnglishCheshi is a macOS workspace integrating Jev-powered conversation memory with OpenAI Codex. It enables users to manage AI agents, navigate codebases via CodeGraph, and synchronize workflows across Git, Ghostty terminals, and Apple Notes within a unified environment.
JEVLAB ARTEnglishjev-mode optimizes repetitive decision-making tasks by utilizing a typed-judgment model. The creator reports significant reductions in token usage and input workload compared to standard coding agents, while claiming improved accuracy in classification and routing operations.
JEVLAB ARTEnglishThis project features a simulated town populated by 100 AI NPCs. It demonstrates a system where Jev determines individual agent actions while the environment generates a collective narrative.
JEVLAB ARTEnglishDiffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
JEVLAB ARTEnglishTypeSafe AIThis official TypeSafe AI reference guide demonstrates how to implement line-by-line semantic search functionality. It provides developers with the necessary patterns to perform precise text retrieval within structured datasets.
JEVLAB ARTEnglishFork of OpenPoke where the yes/no decisions go to Jev instead of Claude Sonnet, with a same-inputs A/B against the replaced LLM decision and a 43,776-request adversarial run on the injection gate.
JEVLAB ARTEnglishThis repository provides a testing environment to benchmark Jev against alternative evaluation models. It focuses on game scenarios featuring explicit states, defined legal actions, and quantifiable outcomes to assess comparative performance.
JEVLAB ARTEnglishThis repository provides a foundational framework for the Jev programming language. It serves as a technical resource for developers interested in exploring the syntax and core implementation details of this specific language project.
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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 demonstrates the application of the Typesafe AI Jev model to automate gameplay in the classic Chrome T-Rex runner. It serves as a practical experiment in integrating AI agents with browser-based game environments.
JEVLAB ARTEnglishJev Gamecast is a React-based application designed for sports enthusiasts. It demonstrates a replay-first architecture that allows users to query live sports data using Jev-typed questions to retrieve specific game insights and historical match information.
JEVLAB ARTEnglishTypeSafe AIThis official TypeSafe AI resource provides a foundational overview of machine learning concepts. It serves as an introductory guide for understanding core principles and terminology within the TypeSafe ecosystem for those beginning their exploration of artificial intelligence.
JEVLAB ARTEnglishThis open-source Chrome extension utilizes Jev to filter out AI-generated prose and advertisements from web pages. It demonstrates a practical application for users seeking to manage content quality while browsing.
JEVLAB ARTEnglishThis repository provides an unofficial Go client library designed to interface with the TypeSafe System One API. It serves as a foundational tool for developers looking to integrate the Jev model into their Go-based applications.
JEVLAB ARTEnglishThis project evaluates Jev performance for fuzzy address matching using the Japan Post KEN_ALL dataset. It demonstrates how Jev, integrated via AI SDKs, handles address normalization and verification tasks against official postal records.
JEVLAB ARTEnglishA small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
JEVLAB ARTEnglishTypeSafe AIThis official resource provides a collection of reference demonstrations for TypeSafe AI. It serves as a central index for users to explore practical implementations and verified examples of the platform's core capabilities and architectural patterns.
JEVLAB ARTEnglishAutomated database migration safety reviewer powered by TypeSafe AI (Jev System One model).
JEVLAB ARTEnglishThis Rust SDK provides both asynchronous and blocking interfaces for interacting with the TypeSafe AI System One API. It serves as a tool for developers to integrate TypeSafe AI functionality directly into their Rust-based applications.
JEVLAB ARTEnglishThis research deck explores the integration of Jev and System One models. It provides a structured overview of theoretical frameworks and conceptual applications, serving as an ongoing educational resource for those studying advanced AI architecture and decision-making processes.
JEVLAB ARTEnglishThis repository provides eight minimal examples demonstrating the application of TypeSafe's Jev model to mechanical and electrical engineering tasks. It illustrates practical use cases including CAD routing, FEM result triage, and BOM alignment without external dependencies.
JEVLAB ARTEnglishThis command-line tool facilitates active learning by integrating human feedback with GEPA. It demonstrates a workflow for refining Jev decision definitions through iterative labeling and alignment processes.
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4 HIGHLIGHTS
3
Decisions & routing
Tools & apps
Devices & robotics
Start here
Games & real time
Research & data
Agents & browsers
Markets & experiments