A FIELD GUIDE TO JEV / VOL. 01
The 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.
1,262 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Jev-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 ART
EnglishSource-linked curation
This project provides a context curation tool designed for the Pi agent using Jev technology. It demonstrates how to manage and organize information flow within the agent's operational framework.
JEVLAB ARTEnglishSource-linked curation
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.
JEVLAB ARTEnglishSource-linked curation
appcypherThis experimental game demonstrates how Jev AI can generate multiple branching timelines to prevent character death. The project explores real-time decision-making processes within a classic gaming framework to maintain continuous gameplay.
EnglishJev HOLDFIT 66%CAT 99%
Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
JEVLAB ARTEnglishJev HOLDFIT 60%CAT 87%
This repository provides a Ruby client library designed for interacting with the typesafe.ai platform. It serves as a programmatic interface for developers to integrate Jev-related services directly into their Ruby-based applications.
JEVLAB ARTEnglishSource-linked curation
Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.
JEVLAB ARTEnglishJev PASSFIT 80%CAT 74%
Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。
JEVLAB ARTEnglishJev HOLDFIT 57%CAT 97%
A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
JEVLAB ARTEnglishJev HOLDFIT 67%CAT 41%
This 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 HOLDFIT 61%CAT 97%
This repository provides a sandbox environment for testing the Jev model. It serves as a practical playground for developers to explore model behaviors and interactions within a structured, type-safe framework designed for experimental AI workflows.
JEVLAB ARTEnglishSource-linked curation
x.comThis community post evaluates Jev as a high-speed decision-making classifier. The author questions its reliability in complex environments while suggesting it may offer practical advantages for specific, low-latency tasks where solution spaces are strictly constrained.
JEVLAB ART
简体中文Source-linked curation
OFFICIALTRANSLATEDTypeSafe AIThis official TypeSafe documentation defines the concept of agent skills. It explains how modular capabilities are structured to enable autonomous agents to perform specific tasks effectively within the TypeSafe AI framework.
JEVLAB ARTEnglishSource-linked curation
A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.
JEVLAB ARTEnglishJev PASSFIT 79%CAT 98%
This Go SDK provides an interface for the TypeSafe AI API. It enables developers to send typed queries to the service and receive structured probability distributions as output, facilitating integration within Go-based applications.
JEVLAB ARTEnglishSource-linked curation
An awesome collection of Jev use cases, workflows, and agent skills.
JEVLAB ARTEnglishJev HOLDFIT 67%CAT 38%
Curated Jev resources and runnable examples for typed AI decisions.
JEVLAB ARTEnglishJev HOLDFIT 67%CAT 42%
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 ARTEnglishSource-linked curation
Loki 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 ARTEnglishSource-linked curation
This project introduces a System One-style model fine-tuned from Qwen3.5-2B. It demonstrates a method for performing single-pass typed decision-making tasks while incorporating calibrated probability outputs for improved reliability in automated reasoning workflows.
JEVLAB ARTEnglishSource-linked curation
A developer project focused on bug-bounty chain tools, with Jev gating each step in the process.
JEVLAB ARTEnglishJev HOLDFIT 50%CAT 49%
This repository provides a collection of Shadcn-style reusable components and interface blocks designed for TypeSafe AI integration. It demonstrates how to implement consistent UI patterns for AI-driven applications using established design standards.
JEVLAB ARTEnglishSource-linked curation
RaptorThis project demonstrates a dual-arm robotic system utilizing Jev as a middle-layer decision-making engine. The creator reports that inverse kinematics and physical interactions are handled through dedicated code to ensure efficient and precise operational performance.
日本語Jev HOLDFIT 63%CAT 100%
TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
JEVLAB ARTEnglishJev HOLDFIT 67%CAT 55%
This 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 ARTEnglishSource-linked curation
Bounded exploratory browser testing with Jev, deterministic assertions, and replayable evidence.
JEVLAB ARTEnglishJev HOLDFIT 61%CAT 66%
This project provides runtime authorization and guardrails for AI-agent tool calls. It utilizes deterministic policies and TypeSafe Jev integration via OpenRouter to manage agent interactions securely.
JEVLAB ARTEnglishSource-linked curation
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.
JEVLAB ARTEnglishSource-linked curation
Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision.
JEVLAB ARTEnglishJev PASSFIT 72%CAT 96%
A developer project providing a local MCP server for running pre-made Jev question packs.
JEVLAB ARTEnglishJev HOLDFIT 70%CAT 49%
A Chrome extension that organizes bookmarks using user-defined rules for categorization.
JEVLAB ARTEnglishJev HOLDFIT 3%CAT 82%
This tutorial provides a comprehensive guide to setting up the Jev API. It demonstrates how developers can integrate Jev with large language models to build and iterate on functional AI prototypes.
EnglishJev HOLDFIT 53%CAT 96%
This Chrome extension integrates with X to label posts using Jev judgments. It demonstrates a method for real-time content analysis and provides a live counter to track associated processing costs while browsing.
JEVLAB ARTEnglishSource-linked curation
This resource explores Jev, a system designed for natural language processing that utilizes structured outputs and confidence scoring. It clarifies that Jev functions differently from traditional large language models, highlighting specific operational trade-offs for developers.
EnglishJev HOLDFIT 50%CAT 68%
Proof of concept MCP for Typesafe's new Jev AI model.
JEVLAB ARTEnglishJev PASSFIT 80%CAT 69%
CuaAn open-source model for form-filling tasks with low latency.
JEVLAB ARTEnglishJev HOLDFIT 9%CAT 56%
This project demonstrates a chatbot implementation using Jev, a TypeSafe AI model architecture. It explores how autoregressive methods can be applied to a model that does not natively generate text, providing a unique approach to conversational interaction.
JEVLAB ARTEnglishSource-linked curation
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 ARTEnglishSource-linked curation
Effect-based safety gate for AI coding agents' shell commands (OpenCode, Antigravity): fast structural rules, then TypeSafe's Jev or a chat model judges what a command does. Certified with Jev at zero dangerous commands allowed.
JEVLAB ARTEnglishJev HOLDFIT 72%CAT 62%
A flexible and configurable CLI model router using TypeSafe Jev.
JEVLAB ARTEnglishJev HOLDFIT 69%CAT 46%
A community reference exploring how Jev perceives toxic content, with limited detailed analysis.
JEVLAB ARTEnglishJev HOLDFIT 35%CAT 32%
OpenRouterThis resource showcases the Ori evaluation framework. OpenRouter claims that Jev achieves significantly faster performance compared to other models in their internal testing, though these results represent the creator's own benchmarks rather than independent verification.
JEVLAB ARTEnglishSource-linked curation
jevprune is a utility designed to filter command-line output for coding agents. It uses specific task descriptions to help agents focus on relevant information by pruning unnecessary data from terminal streams.
JEVLAB ARTEnglishSource-linked curation
Matthew BermanA focus group experiment using Jev to make scroll or stop decisions on ads.
EnglishJev HOLDFIT 65%CAT 84%
A community post describing 500 real-time agents operating in a 3D environment with notable performance metrics.
JEVLAB ARTEnglishJev HOLDFIT 14%CAT 40%
This tool enables developers to select specific Git changes for staging by providing plain-language descriptions. It demonstrates a workflow for automating version control interactions through natural language processing.
JEVLAB ARTEnglishSource-linked curation
Sawyer HoodJev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
EnglishJev HOLDFIT 54%CAT 57%
Arbiter is a development tool designed to serve custom decision models via a Jev-compatible API. It enables developers to implement structured, tailored decision-making logic within their applications using a standardized interface.
JEVLAB ARTEnglishSource-linked curation
This Go client library provides an interface for the TypeSafe AI System One API. It includes optional instrumentation for Langfuse to assist developers in tracking and monitoring their Jev-based application interactions.
JEVLAB ARTEnglishSource-linked curation
Chrome extension that re-ranks Google results with TypeSafe Jev and folds away sales pages and SEO filler.
JEVLAB ARTEnglishJev HOLDFIT 69%CAT 39%
Browser 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 ARTEnglishJev PASSFIT 81%CAT 99%
A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model.
JEVLAB ARTEnglishJev HOLDFIT 70%CAT 43%
This project demonstrates an AI-driven hedge fund architecture using Jev. The creator claims the system facilitates rapid and cost-effective trading decision-making processes for automated financial markets.
JEVLAB ARTEnglishSource-linked curation
5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
JEVLAB ARTEnglishJev HOLDFIT 66%CAT 99%
This demonstration shows Jev playing Connect Four within the OmarchyLinux environment. It highlights the integration of real-time decision-making loops alongside structured state management for game logic execution.
JEVLAB ARTEnglishSource-linked curation
Jev Auto Router demonstrates a per-call routing system for Codex that dynamically selects GPT models and effort levels. It utilizes a local proxy to maintain tool loops while employing independent verification to confirm task completion.
JEVLAB ARTEnglishSource-linked curation
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.
JEVLAB ARTEnglishSource-linked curation
This repository evaluates whether decision models can outperform specialized rerankers. It compares TypeSafe Jev against Cohere Rerank 4, ZeroEntropy zerank-2, and a chat-model baseline across 14 datasets, providing raw API responses and bootstrap ranges for performance analysis.
JEVLAB ARTEnglishSource-linked curation
This command-line tool utilizes TypeSafe Jev to identify personally identifiable information within text. It demonstrates how to detect data presence, assess sensitivity levels, and extract specific character spans for privacy auditing.
JEVLAB ARTEnglishSource-linked curation
Decision layer for coding agents: deterministic rules before any model call, then one Jev request, as a Claude Code PreToolUse hook, an MCP server, a loopback service and a team policy that personal overrides can tighten but not loosen. Ships the 300-call injection kit behind its own numbers.
JEVLAB ARTEnglishJev HOLDFIT 68%CAT 59%
This GitHub tool integrates Jev into your development workflow by requiring its approval before merging pull requests. It demonstrates a method for automating code review gates using Jev-based validation to ensure repository standards.
JEVLAB ARTEnglishSource-linked curation
This project implements a word-level language model utilizing Jev for its output layer. It demonstrates n-gram drafting, Noul chunk verification, and bits-per-token evaluation techniques for language modeling research.
JEVLAB ARTEnglishSource-linked curation
This tool integrates WordPress with the Jev System One model. It enables the platform to generate structured decision outputs, specifically choices, scores, and null values, facilitating automated content logic within a WordPress environment.
JEVLAB ARTEnglishSource-linked curation
This 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.
JEVLAB ARTEnglishSource-linked curation
NotteThis project demonstrates Jev, an agent designed to automate browser-based tasks. It functions by dynamically selecting and executing actions within a defined action space to navigate and interact with web interfaces.
EnglishJev HOLDFIT 61%CAT 99%
Marcus LoweThis 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.
EnglishJev HOLDFIT 61%CAT 58%
Eugene CheahSimple Jev is an open-source library designed to convert Hugging Face models into Jev-style endpoints. This tool aims to improve accessibility by simplifying the integration process for developers looking to deploy machine learning models within the Jev ecosystem.
EnglishJev HOLDFIT 49%CAT 70%
Jev plays browser table tennis in real time: structured telemetry, typed decisions, ordinary Chrome inputs, and auditable evidence.
JEVLAB ARTEnglishJev PASSFIT 71%CAT 94%
A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
JEVLAB ARTEnglishJev HOLDFIT 4%CAT 54%
This 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 ARTEnglishSource-linked curation
Worth Replying is a community tool that utilizes Jev to identify relevant X discussions. It aims to assist users in finding meaningful opportunities for business outreach and engagement within the platform.
JEVLAB ARTEnglishSource-linked curation
This repository explores running Jev-style parallel typed decisions on consumer-grade 1.5B to 8B parameter models using Apple Silicon hardware. It provides research notes and a demonstration space to evaluate local performance.
JEVLAB ARTEnglishSource-linked curation
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4 HIGHLIGHTS
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Tools & apps
Source-linked curation
Agents & browsers
Games & real time
Research & data
Decisions & routing
Devices & robotics
Markets & experiments
Creative & growth