The Jev launch post
Diogo 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.
The best of Jev. Real projects, practical guides and ideas from across the internet.
Diogo 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 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 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.
TypeSafe 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.
Start with the Launch Post. Explore four official signals.
AI-assisted summaries and translations. Check original sources for context and performance claims.
This repository provides a reproducible evaluation harness for Jev Ultrafast research browsers. It includes a suite runner, quality-controlled test cases, and a report generator designed to assist developers in assessing research-oriented agent performance.
See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
This repository serves as a curated directory of software projects utilizing TypeSafe's jev framework. It provides a centralized list to help developers discover real-world implementations and community-driven applications built with this specific technology.
This 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.
Lemonpod gives founders one morning brief that combines GitHub, calendar, tasks, inbox, and other work signals into a text summary and audio update. Start the day knowing what needs attention without checking multiple apps.
Explore sponsorThis Jev implementation automates support ticket management by classifying incoming requests based on category, urgency, and routing requirements. It demonstrates how to streamline customer service workflows by distinguishing between automated and human-led resolution paths.
This 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.
This 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.
This official reference documentation explains the Choice primitive within the TypeSafe AI framework. It outlines the structural implementation and intended usage patterns for developers integrating decision-making logic into their AI-driven applications.
Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.

Guideless is an AI-powered platform that turns software workflows into video training guides.
Explore sponsorWindows 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。
This experimental protocol uses a Jev adapter to evaluate evidence through typed choices. It demonstrates how application code can validate permissions and execute simulated demo actions within a structured decision-making framework.
This tool demonstrates a method for detecting the end of voice-dialogue turns. It utilizes Jev scores processed immediately following speech input to determine when a user has finished speaking, facilitating more natural conversational flow in interactive avatar systems.
This Chrome extension utilizes TypeSafe Jev to identify and block native advertisements, sponsored content, and video ads. The project demonstrates a privacy-focused approach to content filtering by applying semantic analysis to browser feeds.
OpenJev is an open-source initiative by SiliconLabAI focused on the development of a Jev-class decision model. This project serves as a research-oriented resource for exploring architectural approaches to autonomous decision-making systems.
This project demonstrates how to integrate TypeSafe Jev with Grok Bot to serve as a cost-effective decision-making layer. It provides templates for skill management and usage gating to streamline bot interactions.
TypeScript CLI that finds code, docs, logs, and text by natural-language conditions using Jev Noul judgments, with probability thresholds, source lines, and cached results.
JEV picks which stream idea becomes the live MVP. TypeSafe System One decision board.
This 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.
This project demonstrates a decision model for screening CV folders using TypeSafe Jev. It provides a framework for applying typed judgments and editable policies, allowing users to perform free re-scoring of candidate documents based on defined criteria.

Für Ideen, Gespräche, Meetings und alles dazwischen.
Explore sponsorThis 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.
A code search tool for agents to find behavior patterns instead of text strings.
This browser-based simulation features a 2D autonomous vehicle controlled by the Jev decision model. It demonstrates how the framework manages real-time navigation and pathfinding logic within a simplified virtual environment.
Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.
This tool implements per-turn model and reasoning routing for Codex using Jev. It demonstrates a system that dynamically selects the appropriate model, thinking depth, and speed mode for each individual interaction turn.

Sound notifications for any AI agent — hooks for Claude Code, Cursor, Codex & more, plus an MCP server so the agent can choose its own sounds.
Explore sponsorjev-shield is a semantic MCP firewall utilizing Jev for verification. The creator claims it screens tool interactions with high recall and low latency, aiming to provide a secure layer for monitoring tool calls, results, and descriptions within agentic workflows.
Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
jcr 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.
Open auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook.
Minimal agent loop where Jev directs control flow and a LangChain chat model writes argument values and the final response.

Menta es el software de gestión clínica impulsado por IA. Una plataforma todo en uno para la gestión administrativa y clínica de profesionales y clínicas
Explore sponsorThis 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.
This 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.
This tool provides full-duplex voice control for macOS by integrating OpenAI Realtime with native Accessibility features and Jev. It demonstrates a method for hands-free system interaction through real-time speech processing.
This project demonstrates a reversible context pruning technique for Pi using TypeSafe Jev. It aims to maintain relevant session history while managing memory usage without permanently discarding data.
A free open-source search tool powered by Jev and a search API for plain language queries.
chowder is a unified API layer that aggregates, normalizes, and serves your data from any source. One endpoint. Every ingredient.
Explore sponsorjev-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.
This tool utilizes Jev to score collapsed log batches, mapping results to specific triage actions like suppress, watch, review, notify, or page. It provides a structured approach to log management without executing any code.
This article explores the Jev framework, focusing on how System One models facilitate automated AI decision-making processes. It examines the architectural shift away from traditional chatbot interfaces toward direct, logic-based execution models for autonomous tasks.
This 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.
This 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.

Wallpets brings cinematic animal companions to your desktop with lightweight mouse-following behavior, idle play, and a growing pet catalog.
Explore sponsorNeovim popup for jev-lens verdicts: do I need to look, which files, and strip the debris.
This 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.
This library provides an idiomatic Elixir client for interacting with the TypeSafe AI API. It enables developers to integrate TypeSafe AI services into their Elixir applications using native language patterns and structures.
Single-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry.
Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev.
This project implements a Pareto-optimal router for OpenRouter designed for Raspberry Pi hardware. It demonstrates how Jev-based logic can be utilized to automate decision-making processes for selecting optimal routing paths within a resource-constrained environment.
This curated repository features tools that meet a ten-star quality threshold. The project provides hands-on reviews and technical documentation regarding data transmission patterns for each listed utility, helping users understand how these tools interact with external systems.