JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
Updated 4 JEVLAB NEWS posts
What’s new
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 ARTAI-assisted summaries and translations. Check original sources for context and performance claims.
JEVLAB ARTThis 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.
EnglishTypeSafe AITypeSafe 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.
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JEVLAB ARTThis project demonstrates a live support-call scoring system using TypeSafe AI and Effect. It showcases a full-stack implementation with SQLite, React, Vite, and Turborepo to manage automated transcript evaluation workflows.
EnglishThis 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.
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Nick KhamiThis demonstration explores using inference engineering and scoring endpoints to guide open source models toward Jev-style decision-making. The creator showcases a workflow for implementing these behavioral adjustments within the model architecture.
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JEVLAB ARTThis 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.
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JEVLAB ARTThis repository provides a curated collection of Jev resources and executable examples. It serves as a reference for developers looking to implement typed AI decision-making processes within their own projects.
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JEVLAB ARTThis project demonstrates a reversible context pruning technique for Pi using TypeSafe Jev. It aims to maintain relevant session history while managing memory usage without permanently discarding data.
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JEVLAB ARTThis tool enables automated testing by interpreting Gherkin feature files directly through Jev. It eliminates the need for manual step definitions by using TypeSafe AI to resolve steps and executing them via Playwright.
EnglishJEVLAB ARTJevRouter provides a lightweight framework for managing model, tool, and subagent interactions. This project demonstrates a routing architecture designed to streamline task delegation within Jev-based systems, offering a structured approach to modular agent orchestration.
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JEVLAB ARTThis web-based game demonstrates an automated agent playing Tetris. It selects piece rotations and column placements based on calculated metrics including hole counts, total stack height, and surface bumpiness to optimize board state.
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JEVLAB ARTThis community-developed .NET client provides a typed interface for TypeSafe AI services. It mirrors the functionality of the official JavaScript SDK, enabling developers to implement structured question and answer workflows within their .NET applications.
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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 ARTEnglishJEVLAB ARTJevTest provides a framework for bounded exploratory browser testing using Jev. It enables developers to implement deterministic assertions and generate replayable evidence to support automated quality assurance workflows within web environments.
EnglishTypeSafe AIThis interface defines the structure for returning evaluation scores in TypeSafe AI. It provides a standardized format for expected scores, associated rubrics, confidence levels, and probability distributions for specific criteria.
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JEVLAB ARTThis project demonstrates the rapid response capabilities of Jev when executing browser-based tasks. The developer reports that the agent makes operational decisions in approximately 100 milliseconds during standard testing scenarios.
EnglishThis project integrates Jev into application interfaces to provide smart autofill functionality. It demonstrates how automated suggestions can be implemented to streamline user data entry processes and improve overall interaction efficiency within digital forms.
EnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTThis collection provides practical, tested recipes for implementing the Jev decision model via OpenRouter. It demonstrates workflows for tasks including PII detection, database indexing, file organization, and browser agent automation.
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JEVLAB ARTThis project demonstrates browser automation using Jev as a decision-making model. It provides a framework for integrating TypeSafe AI logic into web navigation tasks, allowing for structured interaction with browser environments.
EnglishJEVLAB ARTThis repository provides a Jev-powered permission gate for the OMP TypeSafe System One. It demonstrates a model-judged approach to access control, allowing developers to integrate automated classification logic directly into their system's security workflows.
EnglishThis resource demonstrates Jev's functional capabilities within browser automation environments. It provides a practical look at how the system handles specific support tasks and navigation workflows, offering a baseline for evaluating its performance in real-world web interaction scenarios.
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x.comThis guide provides instructions for installing Jev skills. It explores the potential for these specialized modules to serve as an alternative to conventional large language model workflows by streamlining task execution within the Jev ecosystem.
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JEVLAB ARTThis unofficial Go SDK provides an interface for the TypeSafe AI System One API. The creator claims it maintains functional parity with official JavaScript and Python SDKs, though it is not affiliated with TypeSafe AI.
EnglishThis project demonstrates real-time control of a robot arm within the MuJoCo simulation environment. It utilizes a two-step decision process to manage both high-level actions and specific movement trajectories for the robotic manipulator.
EnglishJEVLAB ARTThis repository provides a curated index of real-world Jev use cases, including patterns, benchmarks, and reported results. It serves as a reference for developers exploring the practical application of TypeSafe AI System One architectures.
EnglishJEVLAB ARTThis 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.
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JEVLAB ARTThis project demonstrates a workflow for lead scoring within the Clay platform using Jev. It provides a structured approach for developers to automate the ranking of potential contacts based on defined criteria.
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JEVLAB ARTjevcal provides a framework for calibrating and thresholding TypeSafe Jev decision models. It demonstrates methods for drift-checking these models against an LLM teacher to improve reliability without relying on manual confidence threshold guessing.
EnglishJEVLAB ARTSemIf 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.
EnglishJEVLAB ARTJev4Mellea provides a functional adapter designed to integrate Jev with the Mellea framework. This tool facilitates interoperability between the two systems, allowing developers to bridge their respective workflows and data structures within a unified technical environment.
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JEVLAB ARTThis project demonstrates an automated email management system using Jev. It provides a configuration-driven approach to classify, tag, move, and flag incoming messages, showcasing how TypeSafe AI models can be applied to streamline personal inbox organization workflows.
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JEVLAB ARTThis tool utilizes Jev to score collapsed log batches, mapping results to specific triage actions like suppress, watch, review, notify, or page. It provides a structured approach to log management without executing any code.
EnglishJEVLAB ARTThis repository provides a template for implementing policy-driven decision workflows using Jev. It demonstrates patterns for confidence routing, fallback mechanisms, and RAG integration within TypeScript applications to improve reliability.
EnglishJEVLAB ARTRoboJEV is a developer project demonstrating a two-stage Jev control system for a robotic arm within the MuJoCo simulation environment. It serves as an experimental implementation for testing hardware-focused control logic.
EnglishThis community project demonstrates the potential of Jev to function as a computing environment by emulating a 6502 processor. It serves as an experimental proof-of-concept for running legacy hardware architectures within the Jev framework.
EnglishJEVLAB ARTJevArena demonstrates a competitive environment where two Jev agents engage in browser-based click games. This project explores the integration of Browser Use and TypeSafe Jev frameworks to facilitate autonomous agent interaction within web interfaces.
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JEVLAB ARTThis project provides a browser-based coding agent utilizing an MCP server and CLI. The creator claims the TypeSafe Jev integration enables faster decision-making cycles compared to standard browser-use implementations.
EnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTThis tool implements per-turn model and reasoning routing for Codex using Jev. It demonstrates a system that dynamically selects the appropriate model, thinking depth, and speed mode for each individual interaction turn.
EnglishThis video demonstrates a competitive match between Jev and OpenJev within a first-person shooter environment. It serves as a visual comparison of their respective decision-making behaviors during active combat scenarios rather than a formal performance benchmark.
EnglishJEVLAB ARTThis project implements a TypeSafe System One decision board where JEV evaluates and selects stream concepts for live MVP development. It demonstrates a structured approach to automated decision-making for content planning and project prioritization.
EnglishJEVLAB ARTThis command-line interface tool by Vercel Labs enables developers to interact with AI models directly in the terminal. It demonstrates how to integrate Jev as an evaluation model for automated performance testing and quality assessment tasks.
EnglishJEVLAB ARTThis repository serves as a curated directory for research papers, open-source reproductions, and independent evaluations concerning System One models and Jev technology. It provides a structured overview of the current landscape for developers and researchers.
EnglishJEVLAB ARTThis project demonstrates voice-controlled Windows automation using OpenAI Realtime and local Whisper models. It integrates Jev with UI Automation and Playwright to enable natural language interaction for managing desktop applications on Windows 10 and 11 systems.
EnglishThis project demonstrates an application designed for rapid calorie tracking. The developer utilizes Jev to facilitate quick response times, aiming to streamline the user experience for logging nutritional intake through an automated interface.
EnglishJEVLAB ARTjev-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.
EnglishJEVLAB ARTThis 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.
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x.comThis guide outlines a ten-step process for constructing an agent brain using Jev. The author claims this approach optimizes for high-speed performance, providing a structured workflow for developers looking to build responsive autonomous systems.
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CuaCUA-S1-FORMS is an open-source model designed for automated form-filling tasks. The project emphasizes low-latency performance, aiming to streamline data entry processes through specialized machine learning capabilities for structured input fields.
JEVLAB ARTEnglishJEVLAB ARTThis repository provides a reproducible benchmark comparing Jev and Claude Haiku 4.5 across 2,000 phishing emails. It evaluates performance metrics including accuracy, calibration, latency, and cost to assess model effectiveness in detecting malicious communications.
EnglishJEVLAB ARTThis project provides a side-by-side comparison of TypeSafe and DeepSeek-flash. It evaluates performance metrics including speed, token usage, cost, and accuracy across tasks like invoice extraction, email classification, and reranking.
EnglishJEVLAB ARTThis tool acts as a security guard for coding agents by using Jev to evaluate tool calls, outputs, and replies. It helps detect prompt injections, scrub secrets, and enforce task pinning to ensure safer agent interactions across multiple platforms.
EnglishThis project showcases a virtual town simulation where Jev autonomously manages 120 residents and local infrastructure. The creator demonstrates how automated decision-making systems can govern complex community interactions within a digital environment.
EnglishThis 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.
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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 ARTEnglishJEVLAB ARTThis Swift SDK provides a type-safe interface for interacting with Jev. It includes support for asynchronous operations, request batching, and automatic retries via Swift Package Manager.
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JEVLAB ARTThis 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.
EnglishTypeSafe 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 ARTEnglishJEVLAB ARTThis Noul-based web tool provides binary yes, no, or maybe responses to user inquiries. It demonstrates a simple interface that optionally incorporates web search functionality to assist in generating its answers.
EnglishJEVLAB ARTThis project features a Python-based river shooter game inspired by Atari's River Raid. It demonstrates an implementation where a TypeSafe AI pilot manages gameplay, providing a practical example of integrating automated agents into classic arcade-style game environments.
EnglishJEVLAB ARTThis project explores diffusion-style pixel art generation using a classifier. It demonstrates a method involving 256 parallel per-pixel Jev questions followed by refinement passes to construct images, showcasing an experimental approach to structured image synthesis.
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Milind SThis project demonstrates a Jev-based system designed to interact with computer interfaces by utilizing local CoreML models and OCR. It explores an alternative to visual screenshot-based navigation for automated agent tasks.
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JEVLAB ARTThis resource outlines how Jev is integrated into Cloudflare infrastructure. It demonstrates the application of Jev for automated decision-making tasks, specifically focusing on support routing and risk management workflows within the platform.
EnglishThis tool evaluates current Tetris board states to determine optimal block placements. The creator demonstrates the system identifying moves in under half a second, showcasing automated decision-making for gameplay optimization.
EnglishThis resource demonstrates how to utilize Jev to generate Clay workflows rapidly. It highlights the potential for accelerated development cycles when integrating these tools for automated workflow creation.
EnglishJEVLAB ARTThis project demonstrates Jev playing the classic game Minesweeper. It serves as an experiment to showcase how the model manages real-time, turn-based decision-making processes within a structured grid environment.
EnglishJEVLAB ARTJev Room is a web-based tool that transforms a single descriptive sentence into six distinct interior room visualizations. The application uses Jev to interpret user input and generate corresponding spatial designs for creative inspiration.
EnglishJEVLAB ARTThis 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.
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JEVLAB ARTThis project demonstrates a voice-controlled web browser using Jev to interpret user intent. It integrates with Playwright to execute navigation commands, aiming for low-latency interaction by processing spoken input to trigger browser actions in real time.
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JEVLAB ARTThis repository provides a curated collection of official resources and community-driven projects focused on TypeSafe, System One models, and Jev. It serves as a centralized directory for developers seeking to explore the ecosystem and integrate these technologies into their workflows.
EnglishJEVLAB ARTThis tool enables developers to process JSON Schema definitions through the TypeSafe Jev API. It demonstrates a workflow for generating structured JSON outputs directly from defined schemas, facilitating automated data formatting within Jev-integrated environments.
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4 HIGHLIGHTS
2
Research & data
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Decisions & routing
Tools & apps
Agents & browsers
Games & real time
Devices & robotics