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.
TypeSafe AIThis TypeSafe reference guide explores the self-consistency of nouls within AI models. It provides technical documentation on maintaining logical coherence and structural integrity when processing these specific data types in automated workflows.
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EnglishShady Town is a social-deduction party game designed for living room play. This project demonstrates how a TypeSafe Jev can act as an automated moderator to facilitate gameplay and manage interactions between participants.
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 ARTEnglishThis Python prototype demonstrates an agent playing NES Super Mario Bros. by interpreting structured RAM data. It utilizes Jev to process game state information and determine appropriate movement and jumping actions for the character.
JEVLAB ARTEnglishThis project provides an interactive TypeScript CLI that utilizes Jev for typed routing and decision-making. It demonstrates the implementation of validated formal trees to structure and execute code-based agentic workflows.
JEVLAB ARTEnglishThis project demonstrates the use of TypeSafe Jev to automate CVSS scoring. It provides a structured approach to parsing vulnerability descriptions and generating standardized severity scores based on the provided input data.
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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.
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日本語Browser game: try to beat Jev at spotting a spam message.
JEVLAB ARTEnglishA directory of Jev-related demos with categorization and submission options.
JEVLAB ARTEnglishTurn any open model into a classifier/jev endpoint.
JEVLAB ARTEnglishThis project demonstrates an emoji autocomplete tool built with TypeSafe AI Jev. It showcases real-time input processing within a TanStack Start application hosted on Whop, highlighting the integration of Jev for responsive text-based suggestions.
JEVLAB ARTEnglishThis is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
JEVLAB ARTEnglishExperimental Hermes plugin: Jev-assisted model routing plans with budget and capability constraints. API access pending.
JEVLAB ARTEnglishjselect provides a utility for filtering source-linked evidence while adhering to specific token constraints. It utilizes Jev Noul relevance judgments and local diversity-aware selection methods to prioritize relevant information for AI processing.
JEVLAB ARTEnglishThis project demonstrates a chess engine integration using TypeSafe AI System One. It provides move evaluation, game classification, and simulated persona-based opponents for interactive play.
JEVLAB ARTEnglishThis resource provides an unofficial Elixir SDK for interacting with the TypeSafe AI API. It demonstrates how developers can integrate TypeSafe AI services into Elixir applications using a dedicated client library for structured communication.
JEVLAB ARTEnglishThis project demonstrates semantic tool routing and typed System One decision-making for the Pi coding agent. It utilizes TypeSafe Jev to structure agentic workflows and improve the reliability of automated coding tasks.
JEVLAB ARTEnglishClaude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM.
JEVLAB ARTEnglishTypeSafe AIThis official TypeSafe AI resource provides a foundational reference for Noul. It serves as a primary guide for understanding the core concepts and implementation details of this specific primitive within the TypeSafe ecosystem.
JEVLAB ARTEnglishJev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.
JEVLAB ARTEnglishCheck whether each cited paper supports the sentence citing it. Claude proves the quote, TypeSafe's Jev scores it, a human decides.
JEVLAB ARTEnglishThis tool implements a Claude Code stop hook designed to verify task completion. It analyzes transcripts for evidence and consults Jev to validate results, defaulting to an open state if verification is inconclusive.
JEVLAB ARTEnglishThis project demonstrates an AI-driven civilization simulation where TypeSafe Jev manages decision-making through typed, probabilistic, and auditable processes. It integrates with various LLMs via OpenAI-compatible APIs to handle high-level planning within the game environment.
JEVLAB ARTEnglishA verified, community-maintained catalog of 485 open-source projects built with Jev.
JEVLAB ARTEnglishFlue agent routing with TypeSafe Jev through Cloudflare AI Gateway.
JEVLAB ARTEnglishThis repository provides a curated collection of tools, integrations, and experimental projects utilizing Jev. It serves as a central directory for developers exploring TypeSafe AI's System One model for typed decision-making workflows.
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 ARTEnglishThis project provides a collection of interactive graphical modules including routing, a Tetris implementation, swarm simulations, and a gauntlet challenge. It serves as a practical demonstration of Jev-based application development and game logic implementation.
JEVLAB ARTEnglishCost-optimized OpenRouter model router using TypeSafe's Jev, with a live full-catalog scorer instead of a hardcoded model list.
JEVLAB ARTEnglishThis tool enables Claude Code to select appropriate installed skills for a session. It utilizes Jev for decision-making processes and integrates with skills.sh to facilitate the discovery of available capabilities.
JEVLAB ARTEnglishTypeSafe AIThis official TypeSafe reference outlines the SDE cascade methodology. It demonstrates how to structure multi-stage AI workflows to improve output reliability and logical consistency during complex software development tasks.
JEVLAB ARTEnglishThis essay explores the conceptual utility of Jev, a language model designed to operate without generating text. It examines how non-generative architectures might function within AI workflows and the potential implications for specialized data processing tasks.
JEVLAB ARTEnglishThis experimental project demonstrates a multi-horizon signal generator for Bitcoin. It utilizes TypeSafe Jev probabilities alongside real-time Binance market data to explore potential price trend indicators within a technical analysis framework.
JEVLAB ARTEnglishThis project demonstrates a small model trained to select from dynamic text options using single-pass probability assignment. It includes experimental implementations for Doom, chess, and Wikispeedia to showcase the model's decision-making capabilities in varied environments.
JEVLAB ARTEnglishThis project demonstrates an implementation of MacOS automation controlled by Jev. It serves as an experimental setup for using TypeSafe System One as a decision-making engine to navigate and interact with desktop computer environments.
JEVLAB ARTEnglishThis project provides an open-source decision server compatible with Jev architecture. It utilizes DiffusionGemma to demonstrate a System One processing approach for automated decision-making tasks within a modular framework.
JEVLAB ARTEnglishBrowser extension that reads the YouTube caption track and paints a per-segment sponsor probability on the seek bar before the intro ends, with no crowd database.
JEVLAB ARTEnglishThis repository provides an unofficial Go SDK designed to facilitate integration with the TypeSafe AI Jev API. It serves as a developer tool for implementing Jev-based functionality within Go applications.
JEVLAB ARTEnglishVisual Jev lab for multiple games and emulator platforms.
JEVLAB ARTEnglishThis repository documents an experiment evaluating the Jev decision model as a cost-effective LLM router. It provides benchmarks comparing routing performance against established metrics on the RouterArena platform to assess efficiency in model selection tasks.
JEVLAB ARTEnglishA research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
JEVLAB ARTEnglishLaneBreak — support ticket priority+routing via TypeSafe Jev.
JEVLAB ARTEnglishThis MCP server integrates TypeSafe Jev into Claude Code, providing structured tools for classification, scoring, and batch processing. It demonstrates how to expose calibrated judgment capabilities as standardized functions for automated agent workflows.
JEVLAB ARTEnglishThis repository provides a public demonstration of Jev and TypeSafe AI integration for X. It serves as an experimental tool for developers to explore how these frameworks interact within a social media context.
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.
JEVLAB ARTEnglishTypeSafe structured-output provider for RubyLLM 2.
JEVLAB ARTEnglishJackalope is a desktop GUI for agentic coding that coordinates tasks across local agents. It utilizes Jev to select the optimal agent for specific assignments while providing automated code review checks and relevant project context.
JEVLAB ARTEnglishThis Claude Code plugin integrates Jev to score review findings, debugging hypotheses, and design options. It aims to provide calibrated probability assessments rather than subjective opinions during the development process.
JEVLAB ARTEnglishpg-jev is a PostgreSQL extension that enables natural language querying of database tables. It integrates Jev technology to allow users to interact with their relational data using plain English prompts.
JEVLAB ARTEnglishThis modification for Claude Code integrates the Jev model to assist with agent decision-making. It demonstrates how to dynamically rank installed skills based on specific prompts and provides automated responses to internal agent queries when confidence thresholds are met.
JEVLAB ARTEnglishThis work-in-progress tool automates pull request reviews by applying plain-English Jev rules. It aims to streamline code quality checks by providing automated feedback based on defined project standards.
JEVLAB ARTEnglishThis project demonstrates a chatbot implementation utilizing typed Jev decisions. It explores the application of hierarchical speculative decoding techniques applied over System One probability distributions to manage conversational logic and decision-making processes.
JEVLAB ARTEnglishThis extension provides five pi tools that expose TypeSafe Jev judgments. It allows AI models to perform narrow semantic evaluations while ensuring developers retain full control over operational thresholds, weighting, and final system actions.
JEVLAB ARTEnglishThis package provides a TypeSafeClassifier to integrate Jev logic into LangChain workflows. It demonstrates a structured approach to managing decision-making processes within AI applications by leveraging type-safe patterns for improved reliability.
JEVLAB ARTEnglishINSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.
JEVLAB ARTEnglishThis tool implements a Claude Code stop hook designed to verify AI assistant assertions against session data. It utilizes Jev as a verification judge to ensure claims align with the actual information processed during the interaction.
JEVLAB ARTEnglishThis project provides a MoonBit client for Jev and demonstrates a gomoku match between two Jev instances. It includes timing logs to track the performance of the automated gameplay sessions.
JEVLAB ARTEnglishThis terminal interface integrates OpenAI with TypeSafe Jev to provide answers. It demonstrates a workflow that generates transparent decision reports, allowing users to review the reasoning process behind each output provided by the system.
JEVLAB ARTEnglishThis short video provides a concise overview of the Jev typed-decision loop. It demonstrates the fundamental mechanics of how the system processes decisions through its specific architectural framework.
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x.comThis post examines potential drawbacks of utilizing Jev for AI agent context compaction. It specifically questions the effectiveness of current methods for managing long-term agent history and state within the Jev framework.
JEVLAB ARTEnglishThis repository provides a framework for evaluating Jev model security. It demonstrates testing methodologies for prompt injection and vulnerable code detection, utilizing the jev-go library to conduct blind benchmarks on System One model performance.
JEVLAB ARTEnglishpi-jev is an extension suite designed to enhance Pi interactions using Jev. It demonstrates methods for selective context compaction and automated model routing to help manage information flow and optimize processing within the agent environment.
JEVLAB ARTEnglishTypeSafe AIThis official reference document outlines various practical applications for TypeSafe AI. It serves as a foundational guide to help users understand how to implement and integrate these systems within diverse operational environments and technical workflows.
JEVLAB ARTEnglishLive verdict page: feeds Jev the day’s Florida Man, odd-news, politics and world headlines and asks all three primitives whether AI should kill us all, refreshed every ten minutes.
JEVLAB ARTEnglishThis tool provides a Jev-augmented proxy for Playwright MCP, designed to enhance coding agents with page-state triage, prompt-injection shielding, and goal-based snapshot pruning. It functions as a drop-in wrapper to implement risky-action gating during automated browser interactions.
JEVLAB ARTEnglishPiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi.
JEVLAB ARTEnglishThis study from Boring Tools Kit examines SEO audit pricing. It demonstrates how Jev triage can be used to prioritize technical fixes and identify content gaps based on calibrated probability metrics for improved search performance.
JEVLAB ARTEnglish发明 RLHF 的人，这次做了个不会说话的模型：Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表.
JEVLAB ARTEnglishValidated enhancement pack for MiniMax Code CLI on arm64 DGX Spark + local GLM-5.3-EXL3: TUI scrollbar + context-meter patches, compaction repair for local vLLM, Jev Ultrafast + Playwright MCP browser integration, real usage ledger.
JEVLAB ARTEnglishA Chrome extension that covers distracting YouTube videos with Jev. Show anyway whenever you want.
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x.comThis community discussion explores the potential of Jev to function as a high-speed, cost-effective decision-making layer for AI agents. It proposes that integrating Jev could streamline agentic workflows by providing a lightweight control mechanism for complex task execution.
JEVLAB ARTEnglishThis experimental framework utilizes JEV to analyze structured market data for short-term stock price forecasting. It serves as a technical demonstration of applying JEV-based logic to financial trend prediction models.
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4 HIGHLIGHTS
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Games & real time
Tools & apps
Agents & browsers
Decisions & routing
Research & data
Markets & experiments
Creative & growth