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.
Cyber-Breach: The Jev Protocol - A tactical cyberpunk arena combat game powered by TypeSafe AI Jev System One decision model.
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EnglishSkill for Hermes, and other agents, to ask typesafe's jev.
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Everton CarneiroThis tool assists developers in optimizing App Store visibility by analyzing competitor keyword strategies. It utilizes Jev to filter and identify relevant search terms, helping users refine their metadata for better discoverability within the marketplace.
EnglishTypeSafe 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 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.
JEVLAB ARTEnglishA GitHub project showcases Jev's performance in a chess benchmark, achieving perfect gameplay with minimal cost.
JEVLAB ARTEnglishThis repository provides a collection of Jev-powered tools for Hermes agents. It demonstrates implementations for model routing, memory management, data compaction, skill selection, and automated computer or browser interaction capabilities.
JEVLAB ARTEnglishJev was integrated with Claude Code to address context compaction challenges in agent workflows, showing promising results.
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Kevin GrajedaClassifier that assesses prompt difficulty in real-time, enabling fast mode for simple prompts to enhance user interaction.
EnglishThis Swift 6.4 SDK provides a type-safe client for TypeSafe AI, mirroring the Python SDK 0.7.0 API. It enables structured, schema-based interactions with AI models using Swift macros for typed questions and responses.
JEVLAB ARTCartShield utilizes TypeSafe Jev to assist small and medium-sized businesses in managing checkout fraud. This tool provides a structured approach for evaluating transaction risks and automating disposition processes within e-commerce environments.
JEVLAB ARTEnglishThis command-line interface tool enables users to perform calibrated judgments like ranking, rating, and triaging directly from the shell. It demonstrates an agent-ergonomic approach to interacting with TypeSafe Jev workflows for streamlined data processing.
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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.
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x.comA community post explaining Jev as an AI for decision-making, faster and cheaper than frontier LLMs.
JEVLAB ARTEnglishThis demonstration showcases the integration of Jev with the OpenCode browser CLI. It illustrates how automated agents can perform web navigation tasks, highlighting the potential for streamlined browser-based workflows through this specific technical implementation.
JEVLAB ARTEnglishIf you're experimenting with jev it will be easier from here.
JEVLAB ARTEnglishThis tool functions as a logic interpreter that utilizes plain English to assist Jev in executing complex reasoning tasks. It demonstrates a method for extending model capabilities through structured natural language processing for logical operations.
JEVLAB ARTEnglishThis repository provides a reproducible benchmark for TypeSafe AI's Jev, evaluating its performance on agent tool-call risk classification. It specifically tests accuracy, latency, and the reliability of confidence scores across clear, ambiguous, and adversarial task scenarios.
JEVLAB ARTEnglishTypeSafe AIThis documentation defines the WithResponse interface for TypeSafe AI, which structures parsed data alongside its associated HTTP response and request ID. It provides developers with a standardized way to access response metadata and body content within the SDK.
JEVLAB ARTEnglishIdiomatic Java SDK for TypeSafe AI Jev System One decision engine.
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HassanThis project demonstrates the use of Jev to classify over 1,000 AI research papers. It serves as a practical example of automating academic document organization to improve efficiency and reduce processing costs.
EnglishReproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
JEVLAB ARTEnglishThis project demonstrates an integration where Jev is utilized to play Pokémon Red. It showcases a turn-based interaction model where the AI processes inputs to navigate the game environment and execute specific commands during gameplay sessions.
JEVLAB ARTEnglishThis command-line tool integrates with the TypeSafe AI Jev model to perform structured analysis on text. It supports yes/no, multiple-choice, and rubric-based queries, returning calibrated probabilities for use in shell scripts, CI pipelines, and AI agent workflows.
JEVLAB ARTEnglishAn idiomatic Zig client for the TypeSafe AI API.
JEVLAB ARTEnglishThis video guide explores the core capabilities of Jev, demonstrating how it handles browser automation, data classification, and code review tasks without relying on traditional large language models.
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iagolastA community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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EspañolThis project demonstrates a method for OMP agents to reduce context usage. The creator claims that utilizing Jev-based compaction can decrease memory requirements by 30-55 percent during operation.
JEVLAB ARTEnglishThis podcast segment explores the conceptual link between Jevons paradox and the funding model behind TypeSafe AI. It provides an overview of how these economic principles relate to the development and sustainability of modern artificial intelligence projects.
EnglishPre-install security gate for npm lifecycle scripts using TypeSafe System One.
JEVLAB ARTEnglishTypeSafe AIThis resource documents the core data structures for the TypeSafe AI Python SDK. It defines JSONValue and JSONContent type aliases to standardize how JSON-compatible data and nested mappings are handled within the library.
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Eugene CheahSimple Jev is an open-source library designed to convert Hugging Face models into Jev-style endpoints. This tool aims to improve accessibility by simplifying the integration process for developers looking to deploy machine learning models within the Jev ecosystem.
EnglishWindows Codex Skill：通过 npx 或 Git 安装，安全配置 save-token-jev 的 PreCompact/SessionStart Hooks，并提供信任、原生压缩与旧内容隔离验证。
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 ARTEnglishThis 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 ARTEnglishTypeSafe AIThis reference documentation defines the LOG_LEVELS variable within the TypeSafe AI JavaScript SDK. It provides a read-only array of supported log levels, organized by verbosity to assist developers in configuring system output and debugging behavior.
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 ARTEnglishTypeSafe AIThis documentation defines the ScoreCriteria type alias for the TypeSafe AI SDK. It specifies a structure requiring at least two entries, allowing developers to map descriptions to numerical scores while supporting null values for undescribed scores.
JEVLAB ARTEnglishTypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer.
JEVLAB ARTEnglishA Chrome extension that organizes bookmarks using user-defined rules for categorization.
JEVLAB ARTEnglishThis local proxy utilizes TypeSafe Jev to dynamically route subagent requests to specific Claude models and effort levels. It is designed to manage specialized tasks independently while preserving the state of your primary chat session.
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vogelA system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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.
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 ARTEnglishJev4Mellea 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.
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.
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Higgsfield AIA process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
EnglishThis project demonstrates a voice-controlled interface for Figma powered by Jev. It serves as an experimental proof-of-concept for integrating low-cost AI automation into professional design workflows.
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Tony DinhThis Chrome extension utilizes Jev to identify and automatically bypass sponsor segments within YouTube videos. It demonstrates a practical application of real-time content analysis to streamline the viewing experience for users.
EnglishThis research deck explores the integration of Jev and System One models. It provides a structured overview of theoretical frameworks and conceptual applications, serving as an ongoing educational resource for those studying advanced AI architecture and decision-making processes.
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 ARTEnglishThis project presents a cooperative platform shooter where a TypeSafe Jev agent acts as a teammate. It demonstrates an experimental integration of autonomous AI agents within a fast-paced gaming environment to facilitate collaborative player-AI gameplay dynamics.
JEVLAB ARTEnglishThis experiment demonstrates Jev successfully navigating the Elite Four in Pokémon FireRed. The creator reports that the agent completed the challenge using low-cost computational resources, showcasing its ability to handle complex game mechanics.
JEVLAB ARTEnglishInterlock demonstrates a security framework using Jev as a sensor to gate access to agent tools. This project explores methods for enhancing operational control and functional safety within autonomous agent environments.
JEVLAB ARTEnglishTypeSafe AIThis documentation defines the InternalServerError class within the TypeSafe AI JavaScript SDK. It details how the class handles HTTP 5xx server errors by inheriting from the base APIError class and providing access to response status, headers, and body content.
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 ARTEnglishJev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
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生ビールThis project demonstrates a local Jev model configuration designed for task processing. The creator suggests this approach may offer potential improvements in execution speed compared to cloud-based alternatives for specific local workflows.
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Milind SA system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
EnglishMilind SoniTipTour is an open-source AI-driven pointer assistant for macOS. It demonstrates how to integrate Jev or Gemini Live to enable cursor control through local processing, offering users a hands-free navigation experience on their desktop environment.
JEVLAB ARTEnglishA research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
JEVLAB ARTEnglishA community post confirming Jev's capability to generate text, responding to a claim that it cannot.
JEVLAB ARTEnglishThis 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 ARTEnglishThis 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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Joao BortottiJev controls live 3D character expressions with real-time decision-making.
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.
JEVLAB ARTEnglishA tool developed using Jev to create a voice builder for Youform, noted for its speed.
JEVLAB ARTEnglishOne sentence becomes six room settings. Jev chooses, the app renders.
JEVLAB ARTEnglishdocs.typesafe.aiThis resource outlines the technical specifications, pricing, and API usage for the Jev 1.13 model. It explains how to utilize the state-based architecture for domain-specific tasks without fine-tuning.
JEVLAB ART⚡ Sub-100ms cognitive reflexes for autonomous coding agents. Powered by TypeSafe AI's Jev & get-fable.
JEVLAB ARTEnglishJev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
JEVLAB ARTEnglishA browser-native Doom agent experiment with structured spatial state, composable AI controls, live decision telemetry, and a Chocolate Doom WebAssembly runtime.
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4 HIGHLIGHTS
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Decisions & routing
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