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 tool demonstrates a recursive approach to managing Jev choices within a taxonomy. It enables users to navigate more than 255 options while maintaining compatibility with TypeSafe Jev's established choice limitations.
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EnglishThis project evaluates Jev as a monitoring and action-gating tool for detecting agent sabotage within the SHADE-Arena environment. It provides a comparative analysis of Jev against Gemini 2.5 Flash and Pro models for real-time security oversight.
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Niaz MorshedThis experimental plugin for coding agents utilizes Jev to deliver automated quality feedback during the development process. It demonstrates a local-first approach to improving code standards within agentic workflows.
EnglishJanus demonstrates a calibration and confidence-based routing system for decision-making tasks. The project reports an 80.2% accuracy rate on the Banking77 dataset, with the author claiming a specific cost efficiency of $0.103 per 500 decisions.
JEVLAB ARTEnglishThis experimental tool utilizes Jev to analyze and lint Supabase Row Level Security policies. It aims to assist developers in identifying potential configuration issues within their database security rules through automated inspection.
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x.comThis resource explores how Jev facilitates automated decision-making. It demonstrates how efficient task sorting and classification can enable new business models, providing a conceptual overview of how these systems function within modern operational frameworks.
EnglishThis Go client library enables integration with the TypeSafe System One API. It demonstrates how to implement typed judgments and calibrated probabilities within Go applications, moving away from traditional generative text outputs for structured data analysis.
JEVLAB ARTEnglishVisual Jev lab for multiple games and emulator platforms.
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Nikunj KothariThis project demonstrates using Jev to evaluate 3,000 children's snacks based on multiple criteria. The creator reports completing the entire assessment process in 28 seconds, showcasing the potential for rapid, automated decision-making in large datasets.
EnglishThis repository provides eight minimal examples demonstrating the application of TypeSafe's Jev model to mechanical and electrical engineering tasks. It illustrates practical use cases including CAD routing, FEM result triage, and BOM alignment without external dependencies.
JEVLAB ARTEnglishVoice command integration for the Autumn billing dashboard to streamline tasks.
JEVLAB ARTEnglishThis project demonstrates an automated agent playing Pokemon Red using PyBoy. The system manages game logic and arithmetic while the Jev agent selects branching paths, with battle outcomes evaluated against RAM state using Brier scoring.
JEVLAB ARTEnglishThis tool demonstrates a method for verbatim Jev-scored context reduction within omp environments. It provides an interface for managing data flow across TypeSafe or OpenRouter platforms to optimize context usage for AI agents.
JEVLAB ARTEnglishThis project demonstrates the use of TypeSafe Jev to automate CVSS scoring. It provides a structured approach to parsing vulnerability descriptions and generating standardized severity scores based on the provided input data.
JEVLAB ARTEnglishParallel web search for terminals and agents, with local Chromium and Jev-guided exploration.
JEVLAB ARTEnglishTypeSafe AIThis resource provides the official legal framework and compliance guidelines for TypeSafe AI. It outlines the governing terms and conditions for users interacting with the platform's services and documented AI infrastructure.
JEVLAB ARTEnglishzcode-jev provides a typed judgment layer designed for coding agents. It acts as a gatekeeper between product requirement documents and deployment, offering a provider-agnostic framework for Jev-ready development workflows.
JEVLAB ARTEnglishThis proof of concept plugin for Claude Code utilizes Jev to validate agent tool calls against a session plan. It provides a mechanism to automatically approve, block, or request user confirmation for pending actions.
JEVLAB ARTEnglish1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
JEVLAB ARTEnglishmimicry is a tool designed to rewrite AI-generated drafts to match a specific personal voice. It utilizes a bounded TypeSafe feedback loop to maintain consistency and control throughout the text refinement process.
JEVLAB ARTEnglishThis project demonstrates a method for verbatim context compaction using TypeSafe Jev decision-making. It provides an experimental approach to optimizing data processing within Jev-based agent architectures.
JEVLAB ARTEnglishThis project provides a decision harness for TypeSafe Jev, featuring confidence gates, shadow mode, and evaluation recipes. The creator claims significantly faster execution times for row-filter tasks compared to Claude CLI, though these performance metrics remain unverified by independent benchmarks.
JEVLAB ARTEnglishA tool for verifying generated code against specified requirements.
JEVLAB ARTEnglishThis plugin integrates with Claude Code and other tools to select AI models based on Jev decision logic and OpenRouter pricing. It aims to balance intelligence, speed, and cost for specific tasks.
JEVLAB ARTEnglishST-jeved is a SillyTavern extension designed to evaluate model replies before they appear on screen. This tool allows users to implement automated filtering or analysis layers within their chat interface for more controlled creative interactions.
JEVLAB ARTEnglishOpen auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook.
JEVLAB ARTEnglishThis project implements a two-stage matching system designed to connect user goals with the Model Context Protocol catalog. It demonstrates how TypeSafe Jev can be utilized to streamline agent-based tool discovery and selection processes.
JEVLAB ARTEnglishThis project introduces a 151M non-autoregressive decision engine designed for Jev environments. The creator claims the model achieves specific accuracy and calibration metrics on the LocalLLaMA typed-decisions benchmark compared to existing TypeSafe Jev and Laya implementations.
JEVLAB ARTEnglishRust SDK for the TypeSafe AI API.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglishjev4k provides a Kotlin-based domain-specific language and client interface for interacting with the Jev model. This tool simplifies integration by offering type-safe abstractions for developers working within the Kotlin ecosystem.
JEVLAB ARTEnglishThis MCP server integrates TypeSafe Jev into Claude Code, providing structured tools for classification, scoring, and batch processing. It demonstrates how to expose calibrated judgment capabilities as standardized functions for automated agent workflows.
JEVLAB ARTEnglishThis experimental Chrome extension uses a TypeSafe Jev model to identify and remove DOM elements classified as advertisements. It functions as a local, client-side demonstration and is not intended for use as a production-grade ad blocker.
JEVLAB ARTEnglishThis resource outlines the core primitives of System One models. It provides a high-level overview of vendor workflow evaluations and pricing structures, serving as an introductory guide for those exploring these specific AI model architectures.
JEVLAB ARTEnglishPractical guide: playground, Python and JS SDKs, raw HTTP, and the agent skill.
JEVLAB ARTEnglishzerosweep is an autonomous system-one triage engine and benchmark built on TypeSafe AI. The project demonstrates the integration of RLCD epistemic safety gates for automated decision-making processes.
JEVLAB ARTEnglishThis project implements a Jev-based model router utilizing the Vercel AI Gateway. It demonstrates a technical approach to managing and routing requests between different AI models within a type-safe architecture, providing a structured framework for developers building modular AI applications.
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x.comThis resource demonstrates how Jev provides a framework for structured decision-making within security workflows. It highlights the potential for increased operational speed when applying these systematic processes to complex security engineering tasks.
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 ARTEnglishThree composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.
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 ARTEnglishThis project provides a Rust-based client implementation for interacting with the TypeSafe System One API. It serves as a foundational tool for developers looking to integrate Jev functionality directly into their Rust applications.
JEVLAB ARTEnglishHelper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review.
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x.comThis community post provides a curated list of open-source Jev replicas developed within the Chinese ecosystem. It highlights technical specifications for each project, offering developers a reference for exploring regional implementations and architectural variations of the Jev framework.
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简体中文This 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.
JEVLAB ARTEnglishThis project demonstrates a Jev-based agent navigating the ViZDoom environment. It utilizes dual decision channels, processing navigation at 5 Hz and combat actions at 12 Hz, as shown in a test run achieving 18 kills.
JEVLAB ARTEnglishTypeAR is a decoding engine for autoregressive LLMs that implements a type-safe, one-decision-per-token approach. Inspired by Jev, the project demonstrates a methodology for enforcing structural constraints during the generation process.
JEVLAB ARTEnglishThis hybrid browser harness utilizes an LLM to decompose user goals into verifiable subtasks. Jev then selects specific actions and DOM elements, which are executed by Playwright to automate web interactions.
JEVLAB ARTEnglishAutonomous Jev pull-request review with typed decisions, calibrated approval gates, and trusted-owner escalation.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglishThis developer project demonstrates a filtering mechanism for Jev that processes tool results before they reach the model. It aims to enhance the operational efficiency of agent-based systems by streamlining data input.
JEVLAB ARTEnglishThis project demonstrates an autonomous Minecraft player controlled by TypeSafe AI. It features real-time decision-making capabilities, including the construction of a Canadian flag, while providing a side-by-side dashboard for monitoring the agent's actions.
JEVLAB ARTEnglishThis repository provides a supervised Mint client designed to interface with the TypeSafe AI System One API. It serves as a practical implementation for developers looking to integrate TypeSafe AI functionality into their Mint-based projects.
JEVLAB ARTEnglishThis proof-of-concept demonstrates using TypeSafe Jev to automate Hermes Agent command approvals. The creator claims improved efficiency metrics compared to standard methods based on tests conducted across 153 real-world command scenarios.
JEVLAB ARTEnglishThis X client integrates Jev smart rules to organize your timeline. It demonstrates how automated filtering can categorize posts by topic, type, and perceived usefulness to help users manage information flow more effectively.
JEVLAB ARTEnglishThis repository provides a Swift SDK designed for integration with TypeSafe AI. It serves as a developer tool to facilitate communication and data handling within the TypeSafe ecosystem for Swift-based applications.
JEVLAB ARTEnglishLLM2Jev 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.
JEVLAB ARTEnglishThis project demonstrates a method for filtering AI assistant memories using Jev. It focuses on retrieving information based on relevance rather than simple resemblance to improve the accuracy of context-aware interactions.
JEVLAB ARTEnglishA console project where Jev dynamically selects the design system at runtime for tools and apps.
JEVLAB ARTEnglishThis experimental tool utilizes TypeSafe Jev to provide real-time scoring for viral potential in X drafts. It demonstrates an automated approach to content evaluation, though the effectiveness of its scoring methodology remains an unverified claim by the creator.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglishIdiomatic Java SDK for TypeSafe AI Jev System One decision engine.
JEVLAB ARTEnglishAutomated database migration safety reviewer powered by TypeSafe AI (Jev System One model).
JEVLAB ARTEnglishThis tool provides recommendations for installed skills within the TypeSafe Jev environment. It features a Python CLI, a Codex skill integration, and bilingual documentation to assist users in managing their skill sets effectively.
JEVLAB ARTEnglishThis repository provides an unofficial Go SDK designed to facilitate integration with the TypeSafe AI Jev API. It serves as a developer tool for implementing Jev-based functionality within Go applications.
JEVLAB ARTEnglishpi-jev is an extension suite designed to enhance Pi interactions using Jev. It demonstrates methods for selective context compaction and automated model routing to help manage information flow and optimize processing within the agent environment.
JEVLAB ARTEnglishThis project demonstrates the integration of Jev to power non-player characters within a virtual representation of River Oaks, Houston. It serves as a technical experiment for implementing autonomous agent behaviors in a simulated game environment.
JEVLAB ARTEnglishThis tool integrates Jev to manage Ableton Live through concise command inputs. It demonstrates a workflow for automating digital audio workstation tasks by utilizing Jev's decision-making logic to execute user-defined musical control sequences.
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.
JEVLAB ARTEnglishJev-compatible System 开源Jev.
JEVLAB ARTEnglishLatent Space's launch-day roundup: over 100x faster and 200x cheaper than small frontier LLMs.
JEVLAB ARTEnglishThis 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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4 HIGHLIGHTS
3
Tools & apps
Agents & browsers
Decisions & routing
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Games & real time
Creative & growth
Research & data