JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
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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.
This project demonstrates the application of Jev to manage the movement of a simulated fly within a digital environment. It serves as an experimental showcase for behavioral control mechanisms in synthetic agents.
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JEVLAB ARTLLM2Jev enables the adaptation of local language models into Jev-compatible decision engines. It demonstrates a method for generating structured Choice, Score, and Noul outputs by utilizing prefill-only binary inference techniques.
EnglishThis project demonstrates the integration of Jev to manage driving decisions within a racing game interface. It highlights an experimental approach to using autonomous logic for real-time control inputs in a simulated gaming environment.
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JEVLAB ARTThis 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.
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JEVLAB ARTtoolgate provides a security layer for agent tool and MCP calls. It enables developers to implement allow, deny, or human-in-the-loop approval workflows using TypeSafe Jev to manage external tool access.
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JEVLAB ARTThis repository provides a framework for discovering, designing, and evaluating TypeSafe Jev decision loops. It serves as a research-oriented utility for developers aiming to structure and validate automated decision-making processes within the Jev ecosystem.
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JEVLAB ARTThis Rust SDK provides both asynchronous and blocking interfaces for interacting with the TypeSafe AI System One API. It serves as a tool for developers to integrate TypeSafe AI functionality directly into their Rust-based applications.
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JEVLAB ARTThis project implements a 3D chess game utilizing TypeSafe AI. It allows users to observe AI versus AI matches or participate in games with multiple difficulty levels, demonstrating the integration of Jev-based logic into a spatial gaming environment.
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JEVLAB ARTTypeSafeAI is a .NET SDK for the TypeSafe AI System One. It provides an ergonomic, typed API that supports NativeAOT, batching, and integration with Microsoft.Extensions.AI for routing and evaluation.
EnglishTypeSafe AIThis TypeSafe AI reference guide explains the self-consistency method for improving model output reliability. It demonstrates how to evaluate multiple reasoning paths to select the most consistent response when addressing complex logical tasks.
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JEVLAB ARTThis experiment demonstrates a Jev-style typed-decision interface using a frozen Qwen3-4B model. It teaches how to extract option letter logits directly instead of relying on standard JSON generation for decision-making tasks.
EnglishJEVLAB ARTThis 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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JEVLAB NEWSMeta has unveiled Petal, a new subsea cable system connecting the US and France with a capacity of 1 petabit per second. This infrastructure project highlights the growing importance of global network connectivity for supporting large-scale AI data centers.
JEVLAB ARTsiftr provides a CLI and MCP server for AI coding agents to perform semantic search and file selection. The project aims to improve agent efficiency by facilitating focused code reads and list picking within a two-second timeframe.
EnglishThis project demonstrates a multi-agent simulation featuring 500 autonomous entities operating within a 3D space. The creator claims the system maintains real-time performance, though these metrics have not been independently verified by JEVLAB.
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JEVLAB ARTThis unofficial Java SDK provides integration for TypeSafe Jev and Vercel AI Gateway. It demonstrates how to implement these services within Spring Boot applications using WebClient for network communication.
EnglishJEVLAB ARTThis project demonstrates an automated routing system for Pi that utilizes TypeSafe Jev via the Vercel AI Gateway. It provides a framework for managing model requests and traffic distribution within the Jev ecosystem.
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x.comThis resource outlines six specific use cases for Jev, including fact-checking, ranking, citation verification, and agent failure analysis. It demonstrates how the tool can be applied to structured information processing and systematic quality control tasks.
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Mormon NegroThis project demonstrates an autonomous agent utilizing headless Chromium to navigate web content. The creator showcases the tool by efficiently traversing and interacting with various Wikipedia links.
EspañolJEVLAB ARTThis repository provides a Ruby client library designed to interface with decision models, specifically targeting Typesafe Jev. It serves as a practical tool for developers looking to integrate structured decision-making logic directly into their Ruby applications.
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JEVLAB ARTThis project implements an MCP server designed to optimize token consumption for coding agents. It demonstrates a routing approach intended to streamline data processing, though users should evaluate its efficiency in their specific development workflows.
EnglishJEVLAB ARTThis Go SDK provides an interface for the TypeSafe AI API. It enables developers to send typed queries to the service and receive structured probability distributions as output, facilitating integration within Go-based applications.
EnglishJEVLAB ARTtiershift 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.
EnglishJEVLAB NEWSHermes Agent has reintroduced support for Claude subscriptions by utilizing the official Claude Code CLI. This update follows previous restrictions imposed by Anthropic on third-party agent access to subscription features.
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JEVLAB ARTThis console project demonstrates a mechanism where Jev dynamically selects design systems at runtime for various applications. It provides a framework for adaptive interface styling within Jev-based tool environments.
EnglishJEVLAB ARTThis project provides a framework for voice-controlled automation on macOS. It demonstrates a method for executing system tasks through spoken commands without relying on vision-based AI models.
EnglishJEVLAB ARTThis project features a simulated town populated by 100 AI NPCs. It demonstrates a system where Jev determines individual agent actions while the environment generates a collective narrative.
EnglishThis project demonstrates an AI-driven hedge fund architecture using Jev. The creator claims the system facilitates rapid and cost-effective trading decision-making processes for automated financial markets.
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Hamilton UlmerThis DuckDB extension enables row-level classification for CSV, Parquet, and database tables using Jev. The creator reports a processing speed of approximately 10 seconds per 1,000 rows during their initial testing.
JEVLAB ARTEnglishThis demonstration showcases a robotic arm utilizing Jev for real-time object manipulation. The creator reports that the system integrates visual input to execute decision-making processes at a rate of two cycles per second for ball retrieval.
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JEVLAB ARTBouncer is an agentic tool designed to enforce security policies by evaluating and judging tool calls made by Claude Code. It provides a mechanism for monitoring and restricting automated actions within the development environment.
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AckermanThis demonstration showcases Jev processing 700 live advertisements within 40 seconds. The creator claims this workflow provides rapid marketing insights at a low cost, illustrating the potential for high-speed automated content evaluation in digital advertising environments.
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JEVLAB ARTThis project implements a Jev-style System One decision model using a Gemma 3 270M architecture. It demonstrates a method for achieving calibrated, rapid decision-making in a single forward pass without performing traditional text generation.
EnglishJEVLAB ARTThis project integrates Jev and get-fable to facilitate rapid cognitive processing for autonomous coding agents. The creator claims the implementation achieves sub-100ms response times for agentic tasks, though these performance metrics remain unverified by independent testing.
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JEVLAB ARTThis resource provides a drop-in replacement for TypeSafeClient that integrates with OpenAI, Anthropic, and other compatible LLM APIs. It enables developers to perform comparative evaluations between Jev and various chat-based language models.
EnglishJEVLAB ARTThis guide explores implementing non-conversational AI agents using Jev. It provides practical instructions for utilizing Python and JavaScript SDKs, raw HTTP requests, and agent skill configurations for developers.
EnglishTypeSafe AIThis resource provides reproducible recipes for common AI workflows, including parallel questioning, reranking, and guardrails. It demonstrates practical implementation patterns for citation checks, data extraction, and hierarchical classification to help developers build more robust and structured AI applications.
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Jarrod Wattsjev-trader demonstrates an automated trading bot that utilizes Jev to analyze asset price feeds. The project showcases how the model makes buy and sell decisions and executes real-world financial transactions based on its internal logic.
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JEVLAB ARTThis Scala 3 client for the System One API provides an effect-agnostic interface compatible with various sttp backends. It enables developers to integrate Jev services using their preferred effect systems while ensuring type-safe handling of question values.
EnglishJEVLAB ARTThis 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.
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JEVLAB ARTThis WXT browser extension utilizes Jev to automate the removal of website clutter. It demonstrates a method for applying reusable template rules to clean up page layouts for a more focused browsing experience.
EnglishJEVLAB ARTThis repository provides a plugin suite for the DeepSeek Harness framework. It demonstrates the integration of the Jev System One decision model to facilitate automated reasoning and decision-making processes within the existing harness environment.
EnglishJEVLAB ARTThis resource introduces the typesafe-ai provider for the Vercel AI SDK. It demonstrates how to utilize the experimental_evaluate function while incorporating jev-latest as an evaluation model for testing AI outputs within a development environment.
EnglishJEVLAB ARTThis research project investigates the practical utility of Jev confidence scores during task execution. It provides a framework for developers to assess how these metrics correlate with model performance in real-world scenarios.
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JEVLAB ARTjevocks provides a streamlined interface for monitoring daily stock market status using Jev technology. This project demonstrates how to integrate real-time financial data feeds into a Jev-based application architecture for simplified market tracking.
EnglishTypeSafe AIThis reference guide outlines the Composite scoring pattern for AI systems. It explains how to aggregate multiple evaluation metrics into a unified score to improve decision-making accuracy and model reliability.
JEVLAB ARTEnglishJEVLAB ARTThis 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.
EnglishThis community post examines how Jev handles ethical decision-making scenarios. It compares different approaches to classic trolley dilemmas to demonstrate the model's logic and reasoning patterns in complex moral situations.
EnglishJEVLAB ARTThis project demonstrates the integration of TypeSafe Jev as a decision-making layer for a coding agent. It explores how structured, quiet reasoning can be applied to automate software development tasks within the pi agent framework.
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JEVLAB ARTThis 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.
EnglishJEVLAB ARTThis MCP server enables agents to perform browser tasks through a single tool call rather than multiple turns. It utilizes reference-based element tables and code-checked assertions to automate interactions with Chrome via the Chrome DevTools Protocol.
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JEVLAB ARTThis project provides a local Model Context Protocol server designed to execute pre-configured Jev question packs. It demonstrates how to integrate Jev-based workflows into local development environments using standard protocol interfaces.
EnglishThis project explores using Jev as an automated quality gate for draft content. The author reports challenges regarding system communication and integration, highlighting the practical difficulties of implementing AI-driven editorial oversight in a writing workflow.
EnglishThis tool automates code quality by running fourteen distinct checks on pull requests. It aims to identify potential security vulnerabilities like hardcoded secrets and problematic SQL patterns during the development workflow.
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Chris TateThis experiment explores combining JSON rendering with Jev to create generative user interfaces. It demonstrates a method for the rapid, real-time rendering of UI components and design systems based on structured data inputs.
EnglishJEVLAB ARTThis repository provides automated crawlers built with Unix-style primitives for system analysis. It demonstrates a modular approach to bug-hunting by utilizing lightweight, composable tools to perform systematic data collection and vulnerability discovery across target environments.
EnglishJEVLAB ARTThis tool utilizes TypeSafe Jev, React, and FastAPI to provide automated diagnostics for CVs. It demonstrates a workflow for evaluating resume content against specific job requirements to improve alignment.
EnglishThis 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.
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JEVLAB ARTThis tool utilizes the Jev model to perform multi-axis writing quality assessments. It provides distinct, named evaluations for specific text attributes, offering a verdict and confidence score for each individual check performed on the input content.
EnglishJEVLAB ARTJevPromptCoach 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.
EnglishThis Brave browser extension analyzes social media posts to identify logical fallacies in real time. It marks content with a green flag when it detects well-reasoned arguments, aiming to assist users in evaluating the quality of online discourse.
JEVLAB ARTEnglishJEVLAB ARTThis tool demonstrates TypeSafe Jev models by analyzing emotional subtext in real-time. It compares Jev's probabilistic classification against standard LLMs, showing how Jev provides structured confidence scores for sentiment analysis while offering potential efficiency gains in latency and cost for specific decision-making tasks.
EnglishJEVLAB ARTThis project serves as a comment moderation playground where users can input text to observe how Jev evaluates and categorizes content. It demonstrates a practical application for automated decision-making in community management workflows.
EnglishTypeSafe AIThis official TypeSafe AI reference explains techniques for structure recovery. It demonstrates how to reliably parse and format unstructured model outputs into consistent, machine-readable data structures for downstream application integration.
JEVLAB ARTEnglishThis video explores the integration of Jev with Astra. It demonstrates practical workflows and provides a comparative analysis of their decision-making capabilities, while presenting the creator's own benchmarks regarding performance and operational costs.
EnglishTypeSafe 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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Matthew BermanThis experiment demonstrates using Jev to simulate thirty distinct personas for evaluating advertising content. It explores how automated agents can make scroll or stop decisions on hundreds of ads to analyze engagement patterns.
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Andy GaoThis project demonstrates a voice-controlled interface for macOS using Jev. It aims to facilitate rapid computer interaction through spoken commands, showcasing a practical application of agentic workflows for desktop navigation and task execution.
EnglishThis project demonstrates an automated system designed to analyze news articles and suggest relevant content for brands. The creator claims the tool provides an efficient and cost-effective method for identifying media opportunities.
EnglishJEVLAB ARTThis experimental project demonstrates a TypeSafe Jev agent playing the original Civilization II within a browser environment. It features a full-game harness that provides live action probabilities for the agent's decision-making process during gameplay.
EnglishJEVLAB ARTs1s 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.
EnglishJEVLAB ARTThis project demonstrates an asynchronous LangGraph workflow designed to categorize inbound emails. It utilizes typed Jev choices to route communications automatically to either invoice or general processing handlers.
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4 HIGHLIGHTS
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