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.
A FIELD GUIDE TO JEV / VOL. 01
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.
1,262 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
This command-line interface provides a direct way to interact with the Jev AI model. It demonstrates how developers can integrate Jev capabilities into terminal-based workflows for streamlined model access and execution.
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HireSignal — resume first-pass fit+interview via TypeSafe Jev.
Jev HOLDFIT 64%CAT 54%
This repository provides safety validation mechanisms for AI agents like Hermes. It demonstrates how to implement automated checks that require human approval or verification before an agent executes specific actions or modifies system states.
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This project demonstrates an application designed for rapid calorie tracking. The developer utilizes Jev to facilitate quick response times, aiming to streamline the user experience for logging nutritional intake through an automated interface.
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semdecide provides a framework for typed semantic decision-making within Unix pipelines and CI environments. The tool utilizes TypeSafe AI Jev to integrate structured logic into command-line workflows, aiming to improve reliability in automated processing tasks.
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Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev.
Jev PASSFIT 70%CAT 78%
This project demonstrates the integration of Jev for browser automation tasks. It provides a framework for agents to perform web navigation and execute decision-making processes based on the provided Jev logic.
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This repository provides a foundational framework for the Jev programming language. It serves as a technical resource for developers interested in exploring the syntax and core implementation details of this specific language project.
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A verified, community-maintained catalog of 485 open-source projects built with Jev.
Jev HOLDFIT 69%CAT 74%
A plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
Jev HOLDFIT 62%CAT 55%
This macOS utility reimagines window switching by integrating artificial intelligence to predict user intent. The project demonstrates a novel approach to desktop navigation, though specific performance metrics regarding its predictive accuracy remain unverified by independent testing.
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This TypeSafe reference guide explores the self-consistency of nouls within AI models. It provides technical documentation on maintaining logical coherence and structural integrity when processing these specific data types in automated workflows.
Jev HOLDFIT 84%CAT 42%
A game integrating Jev to display real-time decision probabilities during gameplay.
Jev HOLDFIT 61%CAT 92%
This project presents an experimental chat interface that processes raw character input using TypeSafe Jev Choice. It demonstrates a novel approach to observable, structured interaction models within the Jev ecosystem.
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This collection catalogs the initial wave of Jev-based infrastructure, including MCP servers, routers, reviewers, and browser agents. It serves as a directory for developers exploring the current ecosystem of tools designed for Jev integration and automation.
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Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM.
Jev HOLDFIT 78%CAT 53%
This 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.
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This repository provides a curated collection of software utilities designed for Jev, the TypeSafe AI System One model. It serves as a central directory for developers seeking tools to implement typed decision-making workflows within their own AI-integrated projects.
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JevOnly is an implementation of Jev designed to execute typing tasks and navigate workflows toward completion. This project demonstrates how Jev can be applied to automate interactive input processes within a structured environment.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
JEVLAB ART
Jev HOLDFIT 63%CAT 80%
This tool provides a Jev-augmented proxy for Playwright MCP, designed to enhance coding agents with page-state triage, prompt-injection shielding, and goal-based snapshot pruning. It functions as a drop-in wrapper to implement risky-action gating during automated browser interactions.
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This resource introduces a novel model architecture that reportedly exceeds standard LLM performance in specific domains. It serves as a technical reference for evaluating alternative approaches to current large language model capabilities.

Jev HOLDFIT 17%CAT 82%
This Chrome extension utilizes TypeSafe Jev to categorize X posts into labels like Substance, Humor, or AI-written. It allows users to filter their feed by hiding content types they prefer to avoid.
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solari-reflex is an agent system designed to execute a single Jev decision per computational step. This project demonstrates a granular approach to agentic reasoning by isolating individual decision-making cycles within a structured computational framework.
JEVLAB ARTSource-linked curation
What your last session knew, scored against what this one is doing. MCP server: a per-project ledger written as things happen, recalled per task with TypeSafe's Jev evaluation model via Vercel AI Gateway.
Jev HOLDFIT 71%CAT 33%
This creative experiment explores the potential role of Jev within the context of improv comedy judging. The author presents a hypothetical framework for how automated systems might evaluate spontaneous performance art.
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Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each.
Jev HOLDFIT 68%CAT 38%
This Chrome extension integrates Jev into X.com, allowing users to analyze social media posts directly within their browser. It demonstrates a practical application of Jev for real-time content evaluation while browsing the platform.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
Jev HOLDFIT 15%CAT 67%
Augustus provides a framework for building judgment-assisted systems using TypeSafe Jev. It demonstrates how to apply decision theory, reranking, and routing through composition algebra and validation gates to improve agentic decision-making processes.
JEVLAB ARTSource-linked curation
Browser extension that reads the YouTube caption track and paints a per-segment sponsor probability on the seek bar before the intro ends, with no crowd database.
Jev HOLDFIT 12%CAT 63%
An experimental trading system using defined rules and Jev for decision-making.
Jev HOLDFIT 66%CAT 98%
This video explores the integration of Jev with Astra. It demonstrates practical workflows and provides a comparative analysis of their decision-making capabilities, while presenting the creator's own benchmarks regarding performance and operational costs.

Jev HOLDFIT 55%CAT 31%
This repository provides an independent analysis of Jev 1.13.0. It documents controlled prompt experiments and raw data to help users verify model behavior and performance characteristics through offline testing.
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snifftest is a lightweight prose linter designed to identify common linguistic patterns associated with AI-generated text. It utilizes a combination of rule-based checks and a judgment model to analyze writing style without requiring external dependencies.
JEVLAB ARTSource-linked curation
This 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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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.
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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.
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This demonstration compares Jev and LLM outputs side-by-side using affectus and Vercel AI Gateway. It allows users to observe differences in emotional fluctuation metrics and response latency for identical input statements within a single interface.
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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
JEVLAB ART
Jev PASSFIT 74%CAT 68%
Experimental Hermes plugin: Jev-assisted model routing plans with budget and capability constraints. API access pending.
Jev HOLDFIT 61%CAT 94%
Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
Jev HOLDFIT 56%CAT 73%
This tool demonstrates how Jev applies semantic formatting to spreadsheet data. It provides automated structural suggestions and outlines potential integration pathways for external platforms to enhance data organization workflows.
Jev HOLDFIT 57%CAT 81%
A directory of Jev-related demos with categorization and submission options.
Jev HOLDFIT 56%CAT 51%
This project demonstrates an emoji autocomplete tool built with TypeSafe AI Jev. It showcases real-time input processing within a TanStack Start application hosted on Whop, highlighting the integration of Jev for responsive text-based suggestions.
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A community post explaining Jev as an AI for decision-making, faster and cheaper than frontier LLMs.
Jev HOLDFIT 51%CAT 84%
A community post compares Jev's performance to Astra in gaming scenarios, highlighting its unique approach.
Jev HOLDFIT 61%CAT 69%
Grok skill: Jev as a judgment sensor in a builder-agent loop (priors × probabilities → next act).
Jev HOLDFIT 53%CAT 39%
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.
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Community Rails integration on the typesafe-sdk gem: configuration, persisted usage and cost telemetry, and opt-in confidence policies.
Jev PASSFIT 82%CAT 71%
This tool demonstrates a Jev-powered workflow that enhances standard copy-paste interactions. It introduces a decision-making layer that automatically adjusts content formatting or selection based on the specific context of the user's current task.
Jev HOLDFIT 61%CAT 58%
This resource demonstrates Jev's functional capabilities within browser automation environments. It provides a practical look at how the system handles specific support tasks and navigation workflows, offering a baseline for evaluating its performance in real-world web interaction scenarios.

Jev HOLDFIT 49%CAT 90%
This 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.
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This project compares Jev against Gemini 3.8 Flash by labeling 1,000 app reviews. The creator claims the Jev implementation achieves significantly faster processing speeds and lower costs compared to the Gemini model in this specific task.
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ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
Jev HOLDFIT 71%CAT 43%
commentcop is a Jev-powered utility designed to evaluate and audit source code comments. It provides an automated mechanism to review documentation quality, helping developers maintain clearer and more effective code annotations within their projects.
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This project provides six hook gates for Claude Code designed to identify rule violations, out-of-scope edits, and incomplete requests. It demonstrates a validation workflow where Jev evaluates agent outputs against a fixed checklist and specific evidence.
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
Jev HOLDFIT 65%CAT 99%
Observable browser stealth game: Jev makes typed guard judgments while deterministic code owns the world.
Jev HOLDFIT 63%CAT 94%
This project explores Jev performance through nine experiments and 28 predictions using fixed parameters. It serves as a structured research repository for analyzing specific metrics and outcomes within the Jev framework.
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JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
Jev HOLDFIT 52%CAT 62%
Jev introduces a novel AI architecture designed to improve software intelligence efficiency. This resource demonstrates how the model aims to provide a cost-effective alternative for developers seeking streamlined performance in their AI-driven applications.
JEVLAB ARTSource-linked curation
Jev processes game state data to make decisions and play Super Mario Bros. effectively.
Jev HOLDFIT 56%CAT 97%
Head-to-head test at validating local event listings, with cost and latency.
Jev PASSFIT 75%CAT 81%
This repository provides tools for Jev environments aimed at optimizing execution performance. It demonstrates specific configurations intended to increase processing throughput, though users should independently verify these performance gains in their own production environments.
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This integration demonstrates how Jev connects with Cal.com to identify available time slots across team calendars. It aims to streamline the meeting coordination process by automating the search for scheduling overlaps.
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This 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.
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Hemant Kumar on his 151M ModernBERT reproduction: 0.83% adaptive calibration error, 3.0% of predictions flip when the option list is reversed, 35.6ms on CPU, with the failed use cases reported alongside the wins.
Jev HOLDFIT 14%CAT 65%
This project explores how Jev can be integrated into UX/UI design workflows. It demonstrates the model's potential for interpreting color-related tasks and suggests new ways to interact with creative interfaces through language-based inputs.
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This tool implements a Claude Code stop hook designed to verify task completion. It analyzes transcripts for evidence and consults Jev to validate results, defaulting to an open state if verification is inconclusive.
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This 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.
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This experiment explores the integration of Jev into aerial combat simulations. The creator demonstrates ongoing development efforts to refine the AI's dogfighting maneuvers and tactical decision-making capabilities within a game environment.
Jev HOLDFIT 64%CAT 77%