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.
Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model.
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EnglishTypeSafe AIThis pattern demonstrates a method for routing requests based on model confidence scores. It teaches how to implement conditional logic to ensure higher quality outputs by directing tasks to appropriate processing paths.
JEVLAB ARTEnglishThis project provides a framework for intelligent model routing, incorporating caching mechanisms and failover strategies. It demonstrates a technical approach to managing request distribution across multiple Jev-based model endpoints to improve system reliability and efficiency.
JEVLAB ARTEnglishThis command-line interface tool demonstrates an automated routing system for Jev. It accepts user tasks and subscription lists to determine which specific model or agent is best suited to process the request based on the provided input parameters.
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Matthew BermanA focus group experiment using Jev to make scroll or stop decisions on ads.
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Pierre-Eliott LallemantThis resource demonstrates how Jev evaluates outreach communications to detect specific intent signals. It aims to help users identify patterns that correlate with successful demo bookings to refine their overall campaign performance.
EnglishThis tool automates GitHub pull request labeling by applying Jev-based typed decisions. It categorizes changes based on conceptual scope rather than traditional line counts to provide more meaningful context for code reviews.
JEVLAB ARTEnglishThis 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 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 ARTEnglishHugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
JEVLAB ARTEnglishA tool for instant field mapping between templates and data sources, simplifying data alignment with one-click functionality.
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gokaygokayThis simulation game tasks players with managing a city built upon a whale. It demonstrates a decision-making framework integrated with GPT-6 Astra and H3 Max to maintain the survival of the settlement.
English弈瞬：双 Jev 五子棋九宫格输入实验台，逐手查看模型决策，支持真实对局回放与实时对战。
JEVLAB ARTEnglishharnessjudge provides a framework for evaluating agentic workflows using TypeSafe Jev. It demonstrates how to systematically categorize agent steps as successful, requiring retries, needing escalation, or stopping execution based on defined operational logic.
JEVLAB ARTEnglishProbably: live BTC, ETH, and XRP prices with a shared TypeSafe buy-or-wait demonstration. No trades placed.
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 Next.js application serves as a sandbox for testing the Jev model, specifically the System One architecture. It provides a practical interface for developers to experiment with model outputs and explore TypeSafe AI integration capabilities.
JEVLAB ARTEnglishjevmod provides a framework for automated content moderation by applying category-specific probability thresholds. This tool allows developers to implement customizable filtering logic to manage and classify digital content effectively.
JEVLAB ARTEnglishTool for systematic reviewers to extract information from research articles efficiently.
JEVLAB ARTEnglishHollow Creek features village NPCs that evaluate the player every tick to determine their actions and emotional state. This experiment demonstrates a reactive, non-dialogue-based interaction system where characters continuously process environmental inputs to shape their behavior.
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kitze 🛠️ tinkerer.clubJev Calc is a notebook-style interface that integrates Jev processing to handle complex mathematical operations. This tool demonstrates how natural language inputs can be parsed and computed within a structured document environment.
EnglishTypesafe's jev as a "fuzzy linter". give your code an ocular patdown.
JEVLAB ARTEnglishjev-align provides a framework for verifying the alignment of LLM responses and agent plans. This resource demonstrates how to use Jev to calibrate and validate model outputs against defined safety or operational constraints.
JEVLAB ARTEnglishTypeSafe AITypeSafe 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.
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Marc KöhlbruggeThis tool demonstrates a method for organizing work-in-progress tasks by analyzing their semantic intent rather than relying on simple keyword matching. It provides a way to categorize development items based on their actual meaning.
EnglishTypeSafe AIThis resource serves as the official portal for TypeSafe AI. It provides a company overview, access to product information, and a registration mechanism for their waitlist to learn about upcoming developments.
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 ARTEnglishOpen replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
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RanjanAskJev is a community project that enables hands-free web navigation. It demonstrates a workflow where Jev manages browser interactions while Claude handles conversational tasks, allowing users to control web browsing through voice or text commands.
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Raihan KhanA tool that analyzes public PR links to determine if they are safe to merge or need review, using Jev's capabilities.
EnglishThis repository provides tools designed to assist JEV in generating natural language outputs. It serves as a practical implementation for developers looking to integrate communication capabilities into their JEV-based projects.
JEVLAB ARTEnglishThis workbench integrates MuJoCo robotics simulations with MiniCPM5-2B and Jev model APIs. It demonstrates a framework for testing embodied decision-making agents within a physics-based environment, facilitating research into how models interact with simulated physical hardware.
JEVLAB ARTEnglishThis project demonstrates an agent designed for automated Pokémon shiny hunting. It utilizes autonomous game resets and visual checks to streamline the process of encountering rare variants within the game environment.
JEVLAB ARTEnglishThis guide demonstrates integrating Jev into an agentic coding workflow. The creator claims this setup achieves high cost efficiency for automated development tasks compared to standard agentic loops.
Englishtiershift is a routing tool that directs LLM requests to the most cost-effective model based on user-defined YAML policies. It utilizes TypeSafe Jev to manage routing decisions and supports integration via TypeScript and Python.
JEVLAB ARTEnglishTypeSafe AIThis official documentation provides a comprehensive technical reference for the TypeSafe AI Python SDK. It outlines available classes, methods, and parameters designed to assist developers in integrating TypeSafe functionality into their applications.
JEVLAB ARTEnglishFast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.
JEVLAB ARTEnglishThis tool integrates Zod with Jev to perform semantic validation on request bodies. It enables developers to convert meaning-based checks into calibrated probabilities, allowing for threshold-based logic within application code.
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x.comLists six specific tasks where Jev is used for fact-checking, ranking, text finding, citation checking, note grouping, and agent failure analysis.
JEVLAB ARTEnglishdecisionbridge provides a Jev-inspired interface for LLMs, enabling explicit decision-making through scoring, calibration, and review thresholds. This project demonstrates a structured approach to managing model outputs by requiring verifiable choice parameters before final execution.
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DuncanThis demo by Ephraim Duncan showcases a routing system built with Jev. It illustrates how the framework can be used to dynamically determine which AI model should process a specific incoming request.
Englishjevmlx enables parallel constrained decision-making for MLX models running on Apple Silicon. This tool facilitates the generation of typed, schema-valid JSON outputs within a single forward pass, streamlining structured data extraction from local machine learning models.
JEVLAB ARTEnglishThis tool functions as a mahjong assistant that utilizes Jev to provide tile discard suggestions. It is designed to help players improve their decision-making process during games by offering strategic guidance in Japanese.
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 ARTEnglishSingle-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry.
JEVLAB ARTEnglishThis project integrates Jev into the DeepSeek Harness framework. It demonstrates how developers can utilize Jev for automated judgment tasks within existing evaluation pipelines to streamline model assessment workflows.
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IzzuddinUses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
EnglishClassifies tax documents using an LLM pipeline for efficient processing.
JEVLAB ARTEnglishThis project explores the utility of Jev as an automated evaluation framework. It demonstrates a methodology for using Jev to assess model outputs, providing a structured approach for researchers to implement comparative analysis within their own workflows.
JEVLAB ARTEnglishChallenge the Jev's intelligence in Rubik Cube puzzles.
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TypeSafe AIThis TypeSafe AI guide demonstrates techniques for categorizing retrieved passages within RAG pipelines. It teaches developers how to implement classification logic to improve the relevance and accuracy of information retrieval systems.
JEVLAB ARTEnglishThis repository provides a reproducible evaluation harness for Jev Ultrafast research browsers. It includes a suite runner, quality-controlled test cases, and a report generator designed to assist developers in assessing research-oriented agent performance.
JEVLAB ARTEnglishGrep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる.
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 ARTEnglishJev as an LLM prompt guardrail inside the agentgateway proxy, with tracing and cost tracking.
JEVLAB ARTEnglishThis Node.js library utilizes TypeSafe AI Jev to detect profanity and toxic language. It is designed to identify obfuscated text, including leetspeak and character spacing, across several Indian languages like Hindi, Bengali, and Telugu.
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nader dabitJev's effectiveness in performing intent-based search within Gmail.
EnglishThis article explores the Jev framework, focusing on how System One models facilitate automated AI decision-making processes. It examines the architectural shift away from traditional chatbot interfaces toward direct, logic-based execution models for autonomous tasks.
JEVLAB ARTEnglishBenchmarks and a playground for TypeSafe's Jev (System One) model: chess, and who-is-the-player-talking-to for speech-to-text game NPCs.
JEVLAB ARTEnglishThis demonstration showcases Jev performing automated classification, priority assessment, spam detection, and reply prediction tasks. The creator reports testing these capabilities across a dataset of 1,000 emails to evaluate the system's functional performance in managing inbox workflows.
EnglishThis 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.
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 SDK enables PHP developers to integrate Jev into their applications. It facilitates sending text and typed queries while retrieving structured answers with confidence scores, supporting PSR-18 clients and various Laravel versions.
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 ARTEnglishACME live support-call scoring demo with TypeSafe AI, Effect, SQLite, React, Vite, and Turborepo.
JEVLAB ARTEnglishClaude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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 ARTEnglishJevinik is a stock evaluation tool that utilizes Jev to facilitate rapid market analysis. The project demonstrates how automated processing can be applied to financial data to assist users in evaluating market trends and research.
JEVLAB ARTEnglishThis demonstration explores Jev navigating 3D environments within Resident Evil. It examines the model's capacity to process spatial objectives and manage combat scenarios during active gameplay sessions.
JEVLAB ARTEnglishThis developer project demonstrates a voice control implementation for macOS. It utilizes Jev as a secondary fallback mechanism for processing commands when primary voice recognition inputs require additional support.
JEVLAB ARTEnglishVibecheck explores methods for managing humor and tone within social platform interactions. This project demonstrates how automated systems can be applied to community moderation and content curation to maintain specific engagement standards.
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4 HIGHLIGHTS
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Decisions & routing
Creative & growth
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