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.
This 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.
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Hamed ValigholizadehThis tool demonstrates Jev's capability to analyze and rank exam questions based on their probability of appearing in future assessments. The creator claims the system processes these predictions within 80 seconds, though independent verification of its accuracy remains pending.
EnglishThis 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 repository provides a collection of Shadcn-style reusable components and interface blocks designed for TypeSafe AI integration. It demonstrates how to implement consistent UI patterns for AI-driven applications using established design standards.
JEVLAB ARTEnglishThis project demonstrates integrating LlamaIndex reranking and routing with TypeSafe Jev. It explores using typed scores and choices to manage decision-making processes, aiming to provide a more cost-effective alternative to traditional LLM-as-judge evaluation methods.
JEVLAB ARTEnglishJev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents.
JEVLAB ARTEnglishThis Rust library provides an unofficial asynchronous client for interacting with the TypeSafe System One API. It demonstrates how to implement type-safe communication patterns when integrating with the platform's backend services.
JEVLAB ARTEnglishOpenvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド.
JEVLAB ARTEnglishCompare GPT generated language with JEV structured Noul decisions on the same input.
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.
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jaffaThis tool utilizes a dataset of 12.8 million viral videos to assist users in drafting social media scripts. The creator claims the generated content is data-backed, though the effectiveness of these scripts remains subject to individual user application.
EnglishThis project demonstrates a discriminative Monte Carlo Tree Search implementation. It utilizes TypeSafe Jev System One primitives integrated with Gemini to facilitate structured decision-making processes within an agentic framework.
JEVLAB ARTEnglishJev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
JEVLAB ARTEnglishblink is a tool that utilizes Jev technology to facilitate efficient codebase searching. It demonstrates how developers can integrate semantic search capabilities directly into their local development workflows for improved navigation.
JEVLAB ARTEnglishThis tool provides full-duplex voice control for macOS by integrating OpenAI Realtime with native Accessibility features and Jev. It demonstrates a method for hands-free system interaction through real-time speech processing.
JEVLAB ARTEnglishThis repository provides a collection of experiments using openjev, an open-source runner designed for Jev-style option-logit processing. It demonstrates how to implement and test these specific inference techniques when running local language models.
JEVLAB ARTEnglishHigh-speed recursive AI Elo tournament engine powered by Jev and Swiss matchmaking.
JEVLAB ARTEnglishThis repository provides a Ruby client library designed for interacting with the typesafe.ai platform. It serves as a programmatic interface for developers to integrate Jev-related services directly into their Ruby-based applications.
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 ARTEnglishswitchloom is a deterministic model routing system designed for coding agents. It demonstrates a specialized mechanism for managing model selection, specifically highlighting capabilities related to Codex integration for automated programming tasks.
JEVLAB ARTEnglishThis repository serves as a curated directory of Jev-based projects. It provides a standardized GitHub workflow designed to facilitate the review and integration of Jev-only development tools within the ecosystem.
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Malek Ould-OulhadjJev assists a Mac app by selecting relevant support articles from built-in documentation.
JEVLAB ARTEnglishThis demonstration shows Jev playing Connect Four within the OmarchyLinux environment. It highlights the integration of real-time decision-making loops alongside structured state management for game logic execution.
JEVLAB ARTEnglishThis repository provides a curated collection of public projects, integrations, and community discussions centered on Jev. It serves as a central directory for developers exploring TypeSafe AI's System One model for implementing typed decision-making architectures.
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MovezAnalyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
EnglishJev Social demonstrates an automated research tool that performs bounded browser operations on social media platforms. It captures evidence from Instagram, TikTok, and LinkedIn to generate cited reports based on the retrieved data.
JEVLAB ARTEnglishThis project demonstrates an autonomous web browsing agent that integrates Jev for decision-making with Vercel's agent-browser for execution. It includes a benchmark to evaluate the system's performance in navigating and interacting with live websites.
JEVLAB ARTEnglishjevmail is an open-source tool that uses Jev to categorize Gmail messages into specific folders like Needs reply or Spam. The creator claims it processes 1,000 emails per minute locally while maintaining read-only access to your inbox.
JEVLAB ARTEnglishThis community experiment compares the performance of Jev against GLM 5.3 in a chess game. The creator claims the test highlights differences in processing speed and cost efficiency between the two models.
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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 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.
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TamirJevForm demonstrates an adaptive approach to form design. The tool generates dynamic form fields that adjust based on the semantic meaning of user input, moving away from traditional, rigid if-then conditional logic structures.
EnglishThis 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 ARTEnglishJevPromptCoach is a Claude Code plugin that evaluates your coding agent prompts. It tracks your prompting habits over time using the TypeSafe Jev model, aiming to provide feedback on your interaction quality without introducing additional latency.
JEVLAB ARTEnglishScala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple.
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 ARTEnglishTypeSafe AIThis official documentation defines the concept of state within the TypeSafe AI framework. It explains how state management functions as a core component for maintaining consistency and context across complex AI interactions and system workflows.
JEVLAB ARTEnglishThis tool utilizes Jev to evaluate startup concepts. Users submit their business ideas, and the system provides feedback by suggesting whether to kill, fix, or ship the project based on its analysis.
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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 ARTEnglishjev-scout is an open-source tool designed to explore repositories and crates. It utilizes the TypeSafe AI Jev System One scoring framework to provide information while aiming to minimize hallucinations during the discovery process.
JEVLAB ARTEnglishA community reference exploring how Jev perceives toxic content, with limited detailed analysis.
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 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 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.
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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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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 project provides a staged code-review workflow integrated with a local dashboard. It demonstrates how to utilize TypeSafe Jev to manage and visualize automated review processes directly within a developer's local environment.
JEVLAB ARTEnglishUnofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.
JEVLAB ARTEnglishTypeSafe AIOfficial TypeSafe reference: API reference.
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 ARTEnglishJev plays Tetris by making real-time decisions to move blocks.
JEVLAB ARTEnglishThis tool utilizes Jev to identify and flag low-quality text generated by Opus. It serves as an automated editorial assistant designed to help users filter out repetitive or unoriginal AI-generated content from their workflows.
JEVLAB ARTEnglishThis video demonstrates how Jev enables structured decision-making in AI applications. It showcases practical examples including a Snake game implementation and automated support request classification to illustrate the framework's capabilities.
EspañolTypeSafe 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 open-source platform provides a Bring-Your-Own-Key arena for evaluating Jev and other AI models. It allows users to compare output quality, operational costs, and latency metrics while identifying potential model failures.
JEVLAB ARTEnglishVideo comparison against a structured-output LLM baseline.
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Farouq AldoriA tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
EnglishThis tool functions as a Magic 8 Ball for pull requests, providing one of twenty classic responses. The creator claims the agent selects answers based on real PR signals within approximately 200 milliseconds.
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.
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Vincent Wang-MaścianicaThis community project explores the development of a Jev-like architecture. It demonstrates a methodology for training models by utilizing a reverse-engineered version of the original system architecture.
JEVLAB ARTEnglishThis project provides a personal assistant agent built on Vercel's eve. It utilizes 100 mocked tools to compare the efficiency of Jev versus standard LLM tool selection processes by measuring the number of steps required for task completion.
JEVLAB ARTEnglishTypeSafe の Jev を TypeScript SDK で使ってみる最初の 1 歩.
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 ARTEnglishs1s is a search tool designed to help developers navigate and trace codebases. It utilizes TypeSafe judgments and repository evidence to assist in understanding complex project structures and relationships.
JEVLAB ARTEnglishThis community experiment showcases Jev interacting with the platformer game Geometry Dash. It demonstrates the model's ability to process visual gameplay input and execute corresponding control commands within a real-time gaming environment.
JEVLAB ARTEnglishLocal bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
JEVLAB ARTEnglishThis tool integrates WordPress with the Jev System One model. It enables the platform to generate structured decision outputs, specifically choices, scores, and null values, facilitating automated content logic within a WordPress environment.
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Rob HallamJev filters social media posts to reduce negative content exposure by categorizing them.
EnglishThis 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 ARTEnglishINSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.
JEVLAB ARTEnglishUse Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.
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4 HIGHLIGHTS
2
Decisions & routing
Tools & apps
Research & data
Start here
Agents & browsers
Games & real time
Creative & growth