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.
1,262 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
A tool that analyzes WeChat threads for emotion, intent, and reply quality.
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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 ARTEnglishAugustus provides a framework for building judgment-assisted systems using TypeSafe Jev. It demonstrates how to apply decision theory, reranking, and routing through composition algebra and validation gates to improve agentic decision-making processes.
JEVLAB ARTEnglishThis resource showcases an implementation of computer use built on Jev. The creator claims significant performance improvements over Opus 5, noting increased speed and cost-efficiency, while highlighting the system's ability to generalize across different operating systems.
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Mau BaronThis demonstration shows Jev autonomously controlling multiple characters within a video game environment. The creator showcases the system's ability to execute rapid, real-time decision-making during competitive gameplay scenarios.
EnglishA developer project integrating Home Assistant with Jev for processing user input without an LLM.
JEVLAB ARTEnglishThis project demonstrates a text generation system built on Jev. It utilizes a classifier within an autoregressive loop to produce output one character at a time, showcasing a granular approach to language modeling.
JEVLAB ARTEnglishIndependent walkthrough separating TypeSafe's published claims from public evidence.
JEVLAB ARTEnglishThis project demonstrates a method for querying local LLMs on Apple Silicon to receive calibrated probabilities rather than raw text. It aims to provide structured output directly, bypassing the need for traditional text generation or subsequent parsing steps.
JEVLAB ARTEnglishSemIf explores the implementation of semantic conditional logic using open-source models. The project demonstrates how to execute these operations locally on consumer-grade hardware like an NVIDIA 3090 GPU.
JEVLAB ARTEnglishTypeSafe AIThis official reference guide outlines the foundational concepts for developing applications using TypeSafe. It provides developers with the necessary framework and architectural patterns required to integrate TypeSafe systems into their existing software workflows effectively.
JEVLAB ARTEnglishotto is an open-source agent for macOS and Windows that enables native computer interaction. It utilizes TypeSafe Jev, local OCR, and selective planning to perform tasks directly on the user desktop environment.
JEVLAB ARTEnglishRiver shooter game in Python, inspired by Atari's River Raid, played by a TypeSafe AI pilot.
JEVLAB ARTEnglishA macOS tool for identifying safe ports to stop, developed as a GitHub project.
JEVLAB ARTEnglishJev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
JEVLAB ARTEnglishOpen-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
JEVLAB ARTEnglishA tool for automated risk review of pull requests using Jev.
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Joao BortottiJev controls live 3D character expressions with real-time decision-making.
EnglishJev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
JEVLAB ARTEnglishThis demonstration compares Jev and LLM outputs side-by-side using affectus and Vercel AI Gateway. It allows users to observe differences in emotional fluctuation metrics and response latency for identical input statements within a single interface.
JEVLAB ARTEnglishThis project demonstrates a Jev browser agent built in Go that interacts with a live Chrome instance. It provides a framework for automating web-based tasks by bridging the Go runtime with browser automation capabilities.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI guide demonstrates systematic methods for verifying the accuracy of citations generated by LLMs. It provides essential workflows to ensure that referenced sources are authentic and correctly attributed within AI-assisted research tasks.
JEVLAB ARTEnglishThis tool integrates Jev-powered ranking into zsh shell history. It demonstrates how to provide Fish-style autosuggestions by leveraging TypeSafe AI to prioritize command history based on user context and relevance.
JEVLAB ARTEnglishThis community-developed Java client provides an unofficial interface for the TypeSafe System One API. It demonstrates how developers can integrate TypeSafe services into Java-based applications using a structured client library approach.
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 ARTEnglishA community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
JEVLAB ARTEnglishThis tool utilizes Jev to analyze user session replays for identifying software defects. It demonstrates an automated workflow designed to generate bug fix pull requests, aiming to streamline the debugging process for development teams.
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Marek SotakA tool that monitors user interactions and intervenes only when it detects confusion or difficulty, using Jev to determine appropriate responses.
EnglishIf you're experimenting with jev it will be easier from here.
JEVLAB ARTEnglishOne sentence becomes six room settings. Jev chooses, the app renders.
JEVLAB ARTEnglishThis project implements a Jev-based model router utilizing the Vercel AI Gateway. It demonstrates a technical approach to managing and routing requests between different AI models within a type-safe architecture, providing a structured framework for developers building modular AI applications.
JEVLAB ARTEnglishWikipedia link races with direct Jev ranking and a live terminal display.
JEVLAB ARTEnglishThis integration demonstrates how Jev connects with Cal.com to identify available time slots across team calendars. It aims to streamline the meeting coordination process by automating the search for scheduling overlaps.
JEVLAB ARTEnglishThis project provides six hook gates for Claude Code designed to identify rule violations, out-of-scope edits, and incomplete requests. It demonstrates a validation workflow where Jev evaluates agent outputs against a fixed checklist and specific evidence.
JEVLAB ARTEnglishThis desktop application integrates Jev to provide real-time, structured writing judgments. It demonstrates how the Jev framework can be applied to create Grammarly-style feedback tools for improved text composition and editing workflows.
JEVLAB ARTEnglishThis research project compares Jev, Gemini 3.8 Flash, and GPT-5.6 Luna regarding their performance in structured annotation of TJSP legal sentences. It evaluates the quality, processing time, and operational costs associated with each model.
JEVLAB ARTEnglishUnofficial TypeSafe Jev showcase — System One decisions, not chat.
JEVLAB ARTEnglishReproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
JEVLAB ARTEnglishThis repository provides a curated, source-backed directory of projects developed using Jev. It serves as a reference for developers exploring TypeSafe AI's System One model, which is designed to facilitate typed decision-making processes in various software applications.
JEVLAB ARTEnglishSelf-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
JEVLAB ARTEnglishThis browser-based tool allows users to build System One API requests by composing state with Noul, Choice, and Score inputs. It provides a local mock mode and a live mode for direct API interaction while generating Python SDK code.
JEVLAB ARTEnglishThis repository provides a structured evaluation of Jev 1.13 reward models across eight distinct benchmark tracks. It features an interactive report and a comparative table documenting current performance metrics relative to other state-of-the-art models.
JEVLAB ARTEnglishThis project features a real-time flight simulation game where Jev's decision-making capabilities manage the aircraft. It demonstrates how autonomous logic can be integrated into interactive gaming environments to handle navigation and flight control tasks.
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Milind SThis project demonstrates the use of Jev as a central decision engine to coordinate multiple autonomous bot agents. It explores how structured logic can manage complex multi-agent workflows for task execution.
EnglishThis pre-alpha PostgreSQL extension facilitates categorical classification within the TypeSafe AI framework. It provides a database-level interface for Jev-based data processing, aiming to integrate structured classification logic directly into SQL workflows for improved data handling.
JEVLAB ARTEnglishA console project where Jev dynamically selects the design system at runtime for tools and apps.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI reference guide explains the re-ranking process for improving information retrieval accuracy. It demonstrates how to refine search results by re-evaluating candidate documents to ensure the most relevant content is prioritized for the end user.
JEVLAB ARTEnglishThis community-developed Go SDK provides an interface for the TypeSafe System One API. It features typed support for Choice, Score, and Noul questions, while incorporating built-in mechanisms for request retries, context management, and structured error handling.
JEVLAB ARTEnglishVisual-Jev is a research project that explores decision-making processes based on direct image analysis. The creator demonstrates a system designed to interpret visual content without relying on text-based descriptions, focusing on automated visual reasoning capabilities.
JEVLAB ARTEnglishInstinct demonstrates a Jev-based approach to interface selection. It allows users to describe a use case in natural language, which the system then maps to a pre-existing UI component from a fixed catalog instead of generating new code.
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Eric ZhangThis project provides a Jev-compatible public API leveraging open models. It demonstrates an approach to achieving fast parallel processing for Jev-based workflows using the sglang framework.
EnglishThis 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 ARTEnglishUXRay is a screen overlay tool designed to detect and highlight manipulative interface patterns. This project demonstrates how automated visual analysis can help users identify dark patterns in web design to improve digital transparency.
JEVLAB ARTEnglishTypeSafe AIThis official TypeSafe AI reference explains the mechanics of function calling. It demonstrates how to integrate external tools and structured data processing into LLM workflows to improve task execution and enable dynamic interaction with external systems.
JEVLAB ARTEnglishTypeSafe AIThis official TypeSafe reference document outlines the framework for evaluating model confidence. It explains how developers can measure and interpret uncertainty metrics to improve the reliability and safety of AI-driven decision-making processes in production environments.
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SachinA community post exploring Jev's behavior in a game of Catan, where multiple Jevs struggle with negotiation.
EnglishThis tool provides recommendations for installed skills within the TypeSafe Jev environment. It features a Python CLI, a Codex skill integration, and bilingual documentation to assist users in managing their skill sets effectively.
JEVLAB ARTEnglishThis project provides a routing mechanism for Jev tasks by evaluating model tier, required tools, skill level, and effort. It demonstrates a structured approach to task distribution within automated workflows.
JEVLAB ARTEnglishTypeSafe's Jev plays Atari Pong. One typed Choice question per frame, no coordinates sent to the model.
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TianyuCodingsNanoJev is a compact implementation of the Jev architecture designed to produce full probability distributions within a single forward pass. This tool demonstrates an approach to optimizing model output efficiency for specific computational tasks.
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简体中文Feedback on your paper in seconds.
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 ARTEnglishThis project demonstrates the application of TypeSafe Jev noul judgment primitives to analyze the collusion.wiki corpus. It explores authorship classification by comparing human and agent-generated content using Qwen3.8-Flash-Next models in head-to-head and local configurations.
JEVLAB ARTEnglishailerix is a type-safe model router designed for Jev systems. It demonstrates a method for banking incoming requests into a structured, typed catalog route to improve system reliability.
JEVLAB ARTEnglishThis proof-of-concept demonstrates using TypeSafe Jev to automate Hermes Agent command approvals. The creator claims improved efficiency metrics compared to standard methods based on tests conducted across 153 real-world command scenarios.
JEVLAB ARTEnglishThis project demonstrates evidence-driven frontend quality assurance using Jev Ultrafast and Browser Harness. It provides a synthetic todo application to showcase how these tools can be integrated for automated testing workflows.
JEVLAB ARTEnglishThis tool functions as a compiler for natural language, allowing users to input text to receive linguistic diagnostics. It provides an experimental interface for analyzing human communication patterns through a structured, code-like processing framework.
JEVLAB ARTEnglishPre-commit hook: one Jev call judges whether your commit message matches the staged diff, plus debug leftovers, unmentioned work, and a credential check.
JEVLAB ARTEnglishjev-hub serves as a curated directory aggregating long-form articles and demonstration videos regarding Jev, the TypeSafe AI System 1 model. It provides a centralized resource for exploring community-led discussions and visual examples of the framework in action.
JEVLAB ARTEnglishJevNoiseGate filters unwanted notifications and SMS on Android. Rather than matching keywords, an LLM decides what's noise — and only what it explicitly flags is blocked. Verification codes are matched on-device and never uploaded; anything uncertain passes through.
JEVLAB ARTEnglishThis X client integrates Jev smart rules to organize your timeline. It demonstrates how automated filtering can categorize posts by topic, type, and perceived usefulness to help users manage information flow more effectively.
JEVLAB ARTEnglishDoes a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured.
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4 HIGHLIGHTS
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