JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
Updated 3 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 ARTLegalForecastBench provides an alpha-stage benchmark and standardized evaluation workflows for legal forecasting tasks. This resource serves as a framework for testing model performance in legal contexts, though users should independently verify the accuracy of the provided evaluation metrics.
EnglishTypeSafe AIThe APIError class provides a structured way to handle unsuccessful HTTP responses within the TypeSafe AI SDK. It captures status codes, response bodies, and headers, allowing developers to programmatically manage specific error types like authentication or rate limit issues.
JEVLAB ARTEnglishThis experiment explores using Jev to implement real-time model selection within AI agents. It demonstrates a workflow approach for dynamically routing tasks to specific models based on immediate requirements.
EnglishJEVLAB ARTThis resource provides a practical introduction to Jev, demonstrating its application through a Python-based ticket-triage example. It illustrates how the framework handles structured decision-making processes within automated workflows.
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x.comThis overview explores the core functionality of Jev and showcases a variety of projects currently being developed within its ecosystem. It highlights how developers are utilizing the framework to build diverse agentic applications.
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JEVLAB ARTThis library provides a TypeSafe structured-output interface for RubyLLM 2. It demonstrates how to integrate schema-constrained data generation within Ruby applications to improve reliability when interacting with large language models.
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JEVLAB ARTThis tool uses Jev to evaluate markdown files against custom rule sets. It identifies content quality violations and generates scores, allowing automated agents to perform necessary corrections based on the provided feedback.
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JEVLAB ARTThis project demonstrates an automated approach to categorizing text-based documents. It utilizes the TypeSafe System One model to facilitate efficient classification workflows, aiming to provide a cost-effective solution for managing document-heavy data structures.
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JEVLAB NEWSXiaomi has launched the MiMo-V2.6 Pro and Flash models, featuring native multimodal capabilities and significant performance gains. According to Choi, these models lead open-weight rankings on the Artificial Analysis Intelligence Index while offering competitive pricing and extensive research resources.
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AI Builder ClubThe jev-browser tool provides agents with web navigation capabilities. It demonstrates how an agent can automatically access websites and execute click actions by interpreting visual screen content to complete assigned tasks.
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JEVLAB ARTDGUI-HyperMem is a self-hosted hybrid memory MCP server deployed on Cloudflare Workers. It utilizes a JEV reasoning layer and a HuggingFace-based training flywheel to manage memory, demonstrating an experimental approach to integrating persistent data structures with automated reasoning workflows.
EnglishJEVLAB ARTThis 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.
EnglishTypeSafe AIThis resource clarifies that Jev is a System One model for structured decision-making rather than a text-generating LLM. It teaches developers how to integrate Jev alongside coding agents for tasks like classification, scoring, and routing.
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JEVLAB ARTThis single-file implementation provides input moderation capabilities for Mastra agents integrated with TypeSafe Jev. It demonstrates a streamlined approach to filtering agent interactions to ensure safer and more controlled AI communication flows.
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JEVLAB ARTSkillbox is a self-hosted library designed for organizing personal skills. The project includes an optional feature that integrates Jev recommendations to suggest relevant learning paths based on the user's existing skill set.
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JEVLAB ARTThis tool functions as a dynamic teleprompter for speakers. It tracks talking points in real-time, utilizing Jev Score questions to verify that each required topic has been adequately covered during a presentation.
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JEVLAB ARTThis project provides a streamlined moderation system for Mastra agents. It demonstrates how to handle input processing within a single file to maintain agent safety and content standards during automated interactions.
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JEVLAB ARTThis project demonstrates a camera-only autonomous drone simulation within the MuJoCo environment. It features a TypeSafe Jev judgment model integrated into the control loop, which the creator reports operates at a frequency of 2.5Hz.
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JEVLAB ARTThis study from Boring Tools Kit examines SEO audit pricing. It demonstrates how Jev triage can be used to prioritize technical fixes and identify content gaps based on calibrated probability metrics for improved search performance.
EnglishThis experiment evaluates Jev's performance in solving pathfinding tasks by comparing its output against traditional A* algorithm results. It serves as a practical demonstration of how Jev handles grid-based navigation problems in a controlled environment.
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JEVLAB ARTThis project demonstrates an implementation of MacOS automation controlled by Jev. It serves as an experimental setup for using TypeSafe System One as a decision-making engine to navigate and interact with desktop computer environments.
EnglishTypeSafe 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.
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JEVLAB ARTThis 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.
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JEVLAB ARTThis project demonstrates an experimental implementation of a RISC-V CPU architecture using Jev. It serves as a technical exploration of how Jev can be adapted to simulate low-level hardware instruction sets and processor logic.
EnglishTypeSafe AIThis documentation defines the Question type alias within the TypeSafe AI SDK. It demonstrates how the library categorizes input queries into specific structures including NoulQuestion, ScoreQuestion, and ChoiceQuestion types to facilitate structured data handling.
JEVLAB ARTEnglishThis community project investigates how Jev can be utilized to evaluate the progress of AI agents. It explores methods for assessing performance beyond standard trace data to provide deeper insights into agent behavior.
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x.comThis community post provides a high-level introduction to Jev. It serves as a conceptual starting point for understanding the platform without delving into specific technical implementation details or performance metrics.
JEVLAB ARTThis experiment explores using Jev to interpret spoken commands in real-time. It demonstrates a method for triggering specific tool actions before the user finishes their sentence, aiming to reduce latency in voice-based agent interactions.
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Aditya SinghThis project demonstrates a voice-controlled interface for Fusion 360. It uses Jev to distinguish between actionable commands and casual conversation, aiming to streamline CAD workflows through natural language input.
EnglishThis experiment compares Jev against manual regex for processing 544 public data-protection resolutions. The creator reports a 98.2% agreement rate between the two methods, highlighting the potential for cost-effective automated document analysis.
JEVLAB ARTEnglishThis project demonstrates Jev attempting to defeat the Pokémon League in Pokémon Gold. It showcases the use of basic control inputs to navigate the game environment and progress through competitive battles.
EnglishTypeSafe 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 ARTEnglishJEVLAB ARTThis project provides a TypeScript-based browser agent for ego lite. It demonstrates an approach to Jev-indexed actions and TypeSafe decision-making through a persistent CLI, operating without the need for Chrome or Playwright dependencies.
EnglishThis demonstration explores Jev navigating 3D environments within Resident Evil. It examines the model's capacity to process spatial objectives and manage combat scenarios during active gameplay sessions.
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JEVLAB ARTThis project provides a coding agent extension built upon the TypeSafe AI System One API. It demonstrates how to integrate Jev-based infrastructure into development workflows to facilitate automated coding tasks and agentic interactions.
EnglishJEVLAB ARTThis project explores the feasibility of running Jev-based workflows using local large language models. It provides a framework for users to experiment with private, offline implementations of Jev architectures on their own hardware.
EnglishJEVLAB ARTThis project demonstrates an agent architecture where Hermes plans and Jev selects bounded actions to play Minecraft. It reproduces a successful Ender Dragon speedrun, showing that harness-side validity checks and specialized controllers outperform general LLMs in efficiency and cost.
JEVLAB ARTroverlab is a 3D planetary rover simulation environment. It serves as a sandbox for developers to experiment with autonomous decision-making processes using TypeSafe AI frameworks within a virtual extraterrestrial terrain.
EnglishJEVLAB ARTThis example demonstrates integrating Jev as a prompt guardrail within the agentgateway proxy. It showcases how developers can implement automated request filtering alongside built-in tracing and cost tracking features for LLM interactions.
EnglishThis project demonstrates an automated agent designed to identify and filter low-quality content as users scroll through their feeds. It aims to improve digital consumption by providing real-time classification of incoming information streams.
EnglishJEVLAB ARTThis project demonstrates an F1 racing simulation where Jev acts as the driver by selecting racing lines and pedal inputs. It uses a hybrid approach where code handles physics execution while Jev learns optimal cornering speeds over multiple laps.
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JEVLAB ARTThis project provides a Jev-based SDK and CLI for browser automation. It demonstrates integration with Playwright to enable deterministic assertions and persistent browser operations within an MCP server architecture.
EnglishJEVLAB ARTThis tool provides a comparative testing environment where Laya and Jev models compete in Snake and fighting games. It demonstrates how different AI models handle real-time decision-making tasks under identical conditions and performance constraints.
JEVLAB ARTJev AI is a System One model designed for software integration, providing typed, calibrated decisions like choices, scores, or probabilities. It aims to replace prose-based LLM outputs with structured data to enable direct, error-free programmatic decision-making.
JEVLAB ARTThis repository provides a framework for evaluating typed decision models. It focuses on measuring calibration, selective risk, and latency to support reproducible benchmarking of Jev-based systems.
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AnshuThis experiment explores pixel-level image generation by utilizing parallel decision-making processes. It demonstrates a novel approach to constructing digital visuals through iterative, granular choices rather than traditional rendering methods.
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JEVLAB ARTjev-seo is a Rust-based CLI suite and MCP server designed for agent-first SEO and GEO tasks. It utilizes the TypeSafe Jev System One and DuckDuckGo to provide search-driven insights as an alternative to traditional commercial SEO platforms.
EnglishJEVLAB ARTThis 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.
EnglishThis video guide demonstrates how to utilize the Jev architecture to construct various software applications. It provides a practical overview of the development workflow and capabilities available within the Jev ecosystem for creators.
EnglishJEVLAB ARTlimpet provides a stop hook designed to prevent coding agents from terminating tasks prematurely. It utilizes plain-language rules evaluated by Jev to maintain process continuity.
EnglishJEVLAB ARTThis 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.
EnglishThis demonstration showcases a user generating musical beats through real-time voice commands directed at Jev. It illustrates an experimental interface for audio production that relies on natural language input to manipulate and arrange sound elements.
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Marc KöhlbruggeThis tool demonstrates a method for organizing work-in-progress tasks by analyzing their semantic intent rather than relying on simple keyword matching. It provides a way to categorize development items based on their actual meaning.
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JEVLAB ARTThis project demonstrates an interactive game where Jev improvises piano music based on user input. It serves as an experimental interface for exploring how Jev processes and responds to musical prompts through a structured question-and-answer framework.
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JEVLAB ARTThis 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.
EnglishJEVLAB ARTpi-warden provides guardrails for Pi agents using pi-typesafe to steer behavior. It identifies off-task tool calls, detects infinite loops, and flags unverified completion claims to improve agent reliability without interrupting the user experience.
EnglishJEVLAB ARTThis repository provides a testing environment to benchmark Jev against alternative evaluation models. It focuses on game scenarios featuring explicit states, defined legal actions, and quantifiable outcomes to assess comparative performance.
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Raihan KhanDiffJury is a utility that evaluates public pull requests to assess their safety for merging. The creator claims the tool utilizes Jev capabilities to automate code review processes and identify potential issues before integration.
EnglishJEVLAB ARTdecisionbridge provides a Jev-inspired interface for LLMs, enabling explicit decision-making through scoring, calibration, and review thresholds. This project demonstrates a structured approach to managing model outputs by requiring verifiable choice parameters before final execution.
EnglishJEVLAB ARTThis repository provides a benchmark for comparing Jev and OpenAI on extracting smoking history from 1,000 synthetic medical notes. It evaluates accuracy, cost, and latency using a shared candidate-selection pipeline rather than unconstrained generative extraction.
Ira BodnarThis project utilizes automated data analysis to streamline search engine and geographic optimization tasks. The creator claims this approach reduces operational costs by 90% compared to traditional methods, though these performance figures remain unverified by independent testing.
EnglishJEVLAB ARTThis Ruby library provides a client for the Jev model API. It enables developers to perform parallel queries using truth-based, choice-based, and rubric-based scoring methods to structure AI-driven decision-making in their applications.
EnglishJEVLAB ARTCrowdcheck is a tool designed to evaluate social media posts by simulating feedback from 10,000 synthetic personas. It aims to help users gauge potential audience reactions and refine content before publication.
EnglishJEVLAB ARTThis repository provides a public demonstration of Jev and TypeSafe AI integration. It illustrates how to implement decision-making logic for application processes using these frameworks, serving as a practical reference for developers exploring automated evaluation workflows.
EnglishJEVLAB ARTThis command-line tool utilizes Jev to identify potential AI-generated low-quality content within user interfaces, copy, and agent instructions. It provides semantic taste checks to help developers maintain quality standards before deploying their projects.
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SaeedThis tool demonstrates a Jev-based implementation for syntax highlighting. It showcases automated programming language identification, color-coded text rendering, and integrated linting rules for code analysis.
EnglishJEVLAB ARTThis 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.
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kenoThis resource demonstrates how Jev can be utilized to analyze competitor advertising materials. It highlights a workflow for processing ad data to generate curated creative shortlists for marketing strategy development.
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x.comThis video presentation outlines the functional advantages of Jev compared to traditional LLMs. It specifically highlights how the architecture supports improved decision-making processes and structural building tasks in AI-driven development workflows.
EnglishJEVLAB ARTThis Node.js library utilizes TypeSafe AI Jev to detect profanity and toxic language. It is designed to identify obfuscated text, including leetspeak and character spacing, across several Indian languages like Hindi, Bengali, and Telugu.
EnglishTypeSafe AIThis official TypeSafe AI resource provides a foundational reference for Noul. It serves as a primary guide for understanding the core concepts and implementation details of this specific primitive within the TypeSafe ecosystem.
JEVLAB ARTEnglishJEVLAB ARTThis project evaluates Jev performance for fuzzy address matching using the Japan Post KEN_ALL dataset. It demonstrates how Jev, integrated via AI SDKs, handles address normalization and verification tasks against official postal records.
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4 HIGHLIGHTS
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Agents & browsers
Decisions & routing
Tools & apps
Research & data
Devices & robotics
Creative & growth
Games & real time
