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.
Sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model.
JEVLAB ART
EnglishA developer tool for decision runtime with zero-token caching and a calibrator, collected for the tools shelf.
JEVLAB ARTEnglishjcr is a developer tool designed to translate ambiguous agent prompts into precise, deterministic commands. It aims to enhance system reliability by ensuring that agent-driven tasks follow structured execution paths.
JEVLAB ARTEnglishThis modification for Claude Code integrates the Jev model to assist with agent decision-making. It demonstrates how to dynamically rank installed skills based on specific prompts and provides automated responses to internal agent queries when confidence thresholds are met.
JEVLAB ARTEnglishThis short video provides a concise overview of the Jev typed-decision loop. It demonstrates the fundamental mechanics of how the system processes decisions through its specific architectural framework.
JEVLAB ARTEnglishThis pull request integrates Jev into the station-suggestion reranking logic for the TrainLCD transit application. It demonstrates how Jev can be implemented to refine search results and improve the relevance of transit station suggestions within a mobile environment.
JEVLAB ARTEnglishSemantic SQL for Postgres, powered by Jev.
JEVLAB ARTEnglishA self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer.
JEVLAB ARTEnglishThis guide by Fazt introduces Jev for implementing type-safe decision-making processes. It provides practical examples demonstrating how to structure logic within applications to ensure consistent and reliable data handling.
JEVLAB ART
Españoljev-me provides an interactive interrogation tool where Jev analyzes and challenges your project ideas. It functions as a structured brainstorming assistant designed to stress-test concepts through critical questioning and logical evaluation.
JEVLAB ARTEnglishThis web-based project features a 3D chess environment where Jev can play both sides of a match. Users have the option to observe the automated gameplay or intervene to take control of a side during the game.
JEVLAB ARTEnglishJev plays browser table tennis in real time: structured telemetry, typed decisions, ordinary Chrome inputs, and auditable evidence.
JEVLAB ARTEnglishBrowser Use Olympics by Almond: one prompt, five events, one clock. Plus fast loop, a ~200-line browser computer-use agent (Chrome DevTools + TypeSafe Jev).
JEVLAB ARTEnglishDiffJury — TypeSafe Jev PR risk router + code review coach.
JEVLAB ARTEnglishThis tool provides TypeSafe skill routing for the Hermes Agent by identifying the appropriate skill before model execution. It utilizes a standard library approach to optimize agent performance and reduce unnecessary processing costs.
JEVLAB ARTEnglishjevscape provides a RuneBench harness for Jev, featuring a bounded action catalog and a tick-mode controller. It includes a live dashboard designed to help developers monitor and manage agentic workflows within the Jev ecosystem.
JEVLAB ARTEnglishThis proof-of-concept project explores Jev TypeSafe AI integration by applying it to a Game of Thrones theme. It demonstrates how structured data models can be utilized within a narrative-driven application context.
JEVLAB ARTEnglishThis repository provides an extension designed to accelerate JEV compaction processes within the pi environment. It demonstrates a specific implementation approach for optimizing data management tasks, though users should independently verify performance improvements in their own production workflows.
JEVLAB ARTEnglishThis tool provides a CLI and GitHub Action designed to evaluate code-change risk. It utilizes deterministic rules and TypeSafe Jev to suggest appropriate checks and reviewers before merging pull requests.
JEVLAB ARTEnglishThis repository provides a public demonstration of Jev and TypeSafe AI integration. It serves as a practical example for developers looking to implement preflight validation workflows within the Jev ecosystem.
JEVLAB ARTEnglish
x.comA guide for installing Jev skills, highlighting its potential to replace traditional LLM usage.
JEVLAB ARTEnglishJackalope is a desktop GUI for agentic coding that coordinates tasks across local agents. It utilizes Jev to select the optimal agent for specific assignments while providing automated code review checks and relevant project context.
JEVLAB ARTEnglishThis position paper introduces the Deferred Crispification principle and the BSF-S1 architecture. It argues for integrating Hidden-Markov and fuzzy primitives into Jev and System-One decision models to improve TypeSafe AI framework capabilities.
JEVLAB ARTEnglishLoki is a self-improving agent harness designed for autonomous systems. It integrates an optional TypeSafe Jev companion to facilitate structured, typed judgments for Choice, Score, and Noul operations within agentic workflows.
JEVLAB ARTEnglishUtilizing Jev, the RLCD-type model provided by TypeSafe AI, to independently and cheaply judge agentic coding sessions.
JEVLAB ARTEnglishThis project demonstrates an implementation of the JEV model applied to the classic game Tetris. It serves as an experimental showcase for how the model handles real-time decision-making and spatial logic within a structured gaming environment.
JEVLAB ARTEnglishThrow in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.
JEVLAB ARTEnglishSIEGE is a typed action gate system designed to defend against multiple agents. The project demonstrates a defender loop architecture that learns from breach attempts, with evaluation facilitated by W&B Weave.
JEVLAB ARTEnglishThis project demonstrates a hybrid coding architecture where a deliberative System 2 handles complex logic while a Jev-based System 1 manages rapid, reflexive execution. It explores balancing high-level reasoning with immediate, automated responses in software development.
JEVLAB ARTEnglishAn idiomatic Zig client for the TypeSafe AI API.
JEVLAB ARTEnglishA GitHub project showcases Jev's performance in a chess benchmark, achieving perfect gameplay with minimal cost.
JEVLAB ARTEnglishTypeSafe 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 ARTEnglishSee what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
JEVLAB ARTEnglishCommunity .NET SDK for the TypeSafe AI System One API — typed noul, choice, and score questions with structured, confidence-scored answers. Not affiliated with TypeSafe AI.
JEVLAB ARTEnglish
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 tool utilizes the Jev model to filter incoming text messages for potential scams. It demonstrates a practical application of TypeSafe AI technology for enhancing mobile communication security through automated content analysis.
JEVLAB ARTEnglishThis project demonstrates a ticket triage system built with .NET 10 and React 19. It utilizes TypeSafe Jev to implement structured, AI-driven routing for incoming support requests.
JEVLAB ARTEnglishJev-AV is a security tool that analyzes executables, scripts, and documents by extracting structural features like entropy and hashes. It utilizes Jev to evaluate these files for potential malicious activity in real-time.
JEVLAB ARTEnglishTypeSafe AIThis TypeSafe AI reference guide outlines essential strategies for implementing guardrails in large language models. It demonstrates how to establish safety boundaries to manage model outputs and mitigate potential risks during deployment.
JEVLAB ARTEnglishThis tool integrates Chrome DevTools with MCP to enable automated browser navigation. It demonstrates a workflow where an agent identifies a target location and executes a specific DevTools command to perform tasks.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglishAskJev provides an autonomous agent designed for website interaction. The project implements a TypeSafe System One architecture to include a safety guard that prevents irreversible user actions during automated browsing tasks.
JEVLAB ARTEnglishCost-optimized OpenRouter model router using TypeSafe's Jev, with a live full-catalog scorer instead of a hardcoded model list.
JEVLAB ARTEnglishChatJev is a developer project that explores decision-making processes by utilizing a classifier as a next-token predictor. This experiment demonstrates how classification models can be adapted to influence sequence generation within a Jev-based architecture.
JEVLAB ARTEnglishTypeSafe AITypeSafe 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 ARTEnglishTypeSafe AIThis TypeSafe AI guide explains the autoresearch feature discovery process. It demonstrates how automated systems can identify and categorize new features within a codebase to improve development efficiency and maintain project documentation.
JEVLAB ARTEnglishTypeSafe AIThis official documentation provides the reference materials for the TypeSafe Python SDK. It outlines the necessary methods and configurations for developers to integrate TypeSafe AI capabilities into their Python-based projects.
JEVLAB ARTEnglishterrarium is a sandbox environment where a TypeSafe System One model operates a creature's controls. The project demonstrates how code-driven logic can be used to simulate and interact with a virtual world.
JEVLAB ARTEnglishPractical, tested recipes for TypeSafe's Jev decision model on OpenRouter: support triage, database indexing, file organizing, tagging, taxonomies, dedupe, PII detection, extraction, search re-ranking and a browser agent.
JEVLAB ARTEnglishThis tool optimizes Claude Code by filtering skill manifests using TypeSafe Jev. It evaluates skill relevance to reduce token usage significantly, aiming to lower session costs by dynamically hiding unnecessary skills from the active configuration.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglishThis Haskell DSL provides an agent-first framework for the Jev judgment model. It demonstrates how to implement typed packets and inferred types to ensure consistent labeling and structured data handling within agentic workflows.
JEVLAB ARTEnglishThis essay explores the conceptual utility of Jev, a language model designed to operate without generating text. It examines how non-generative architectures might function within AI workflows and the potential implications for specialized data processing tasks.
JEVLAB ARTEnglishThis cyberpunk-themed game uses TypeSafe Jev to simulate a tense border crossing encounter. Players must navigate dialogue choices to bluff guards and verify digital receipts to progress through the narrative.
JEVLAB ARTEnglishThis resource provides a hosted implementation of typesafe-ai/jev for AI SDK evaluate calls. It demonstrates how to integrate Jev directly through the Vercel AI Gateway, bypassing the need for a separate TypeSafe waitlist for these specific operations.
JEVLAB ARTEnglishThis project demonstrates a small model trained to select from dynamic text options using single-pass probability assignment. It includes experimental implementations for Doom, chess, and Wikispeedia to showcase the model's decision-making capabilities in varied environments.
JEVLAB ARTEnglishThis repository provides a static dashboard comparing Jev, luna-none, and luna-low models on Japan's 2026 Common Test. It serves as an experimental benchmark to evaluate how these specific AI architectures perform on standardized academic examination questions.
JEVLAB ARTEnglishTypeSafe AIThis official reference guide outlines the foundational concepts for developing applications using TypeSafe. It provides developers with the necessary framework and architectural patterns required to integrate TypeSafe systems into their existing software workflows effectively.
JEVLAB ARTEnglishjevcal 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.
JEVLAB ARTEnglishThis resource provides a typed-decision benchmark derived from PadFlow land development data. It includes anonymized schemas and a runner designed to test the performance of confidence-calibrated models like TypeSafe Jev against structured decision-making tasks.
JEVLAB ARTEnglishThis project provides a guardrail and model router for LLM gateways using TypeSafe's Jev System One model. It demonstrates how to implement independent evaluation metrics for accuracy, calibration, and latency using standard Python libraries.
JEVLAB ARTEnglishThis repository provides a plugin designed to integrate Claude Code functionality with the jev ecosystem. It serves as a utility for developers looking to extend their agentic workflows using specific Claude-based code automation tools within the jev environment.
JEVLAB ARTEnglish
t0t0This project demonstrates a Jev-based system that monitors 25 WhatsApp customer groups simultaneously. It uses an automated filtering process to trigger an LLM only when urgent issues are detected, aiming to streamline customer support workflows.
JEVLAB ARTEspañolSystem-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.
JEVLAB ARTEnglish
x.comA community post outlines a guide for constructing a high-speed agent brain using Jev.
JEVLAB ARTAn educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
JEVLAB ARTEnglishA developer project integrating Home Assistant with Jev for processing user input without an LLM.
JEVLAB ARTEnglishSearch the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.
JEVLAB ARTEnglishThis web application demonstrates Jev playing chess against various LLMs, Stockfish, or human players. It provides a visual interface for tracking live moves, viewing Jev's move probabilities, and managing game history.
JEVLAB ARTEnglish
x.comJev is integrated with Cloudflare AI Gateway to provide structured answers to typed questions.
JEVLAB ARTEnglishA TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglish
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4 HIGHLIGHTS
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Agents & browsers
Decisions & routing
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