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.
A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
JEVLAB ART
EnglishJev HOLDFIT 35%CAT 22%
x.comA community post shares a tech talk by Jev's founder, highlighting its speed, cost-effectiveness, and lack of hallucination.
EnglishJev HOLDFIT 46%CAT 61%
System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.
JEVLAB ARTEnglishJev HOLDFIT 65%CAT 74%
This repository provides a collection of experiments using openjev, an open-source runner designed for Jev-style option-logit processing. It demonstrates how to implement and test these specific inference techniques when running local language models.
JEVLAB ARTEnglishSource-linked curation
This project implements three Claude Code hooks designed to query Jev for specific data. It demonstrates a practical approach to integrating external information retrieval directly into development workflows using custom automation hooks.
JEVLAB ARTEnglishSource-linked curation
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
JEVLAB ARTEnglishJev HOLDFIT 58%CAT 72%
This Python package utilizes typesafe.ai to evaluate code comments based on specific heuristics. It demonstrates an automated approach to assessing documentation quality within a codebase by applying structured analysis to developer-written comments.
JEVLAB ARTEnglishSource-linked curation
Jevals provides a local testing environment designed for evaluating Jev requests. The project demonstrates how users can refine and improve their output quality by applying specific primitive operations within a controlled development workflow.
JEVLAB ARTEnglishSource-linked curation
This repository provides a template for implementing policy-driven decision workflows using Jev. It demonstrates patterns for confidence routing, fallback mechanisms, and RAG integration within TypeScript applications to improve reliability.
JEVLAB ARTEnglishSource-linked curation
Interlock demonstrates a security framework using Jev as a sensor to gate access to agent tools. This project explores methods for enhancing operational control and functional safety within autonomous agent environments.
JEVLAB ARTEnglishSource-linked curation
This project provides a skill for Letta agents to perform criteria-based evaluations using the TypeSafe System One framework. It demonstrates how to integrate Jev-based logic for structured decision-making processes within agentic workflows.
JEVLAB ARTEnglishSource-linked curation
This Brave browser extension analyzes social media posts to identify logical fallacies in real time. It marks content with a green flag when it detects well-reasoned arguments, aiming to assist users in evaluating the quality of online discourse.
JEVLAB ARTEnglishJev HOLDFIT 5%CAT 65%
This tool provides near-real-time scoring for social media hooks by evaluating them against approximately 100 distinct personas. It demonstrates a method for creators to test content performance across diverse audience segments.
JEVLAB ARTEnglishSource-linked curation
zcode-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 ARTEnglishSource-linked curation
This command-line interface tool demonstrates an automated routing system for Jev. It accepts user tasks and subscription lists to determine which specific model or agent is best suited to process the request based on the provided input parameters.
JEVLAB ARTEnglishJev HOLDFIT 52%CAT 98%
Kyle JeongObserve the accessibility tree, Jev chooses the next action, Stagehand executes.
EnglishJev HOLDFIT 69%CAT 99%
This project provides a personal assistant agent built on Vercel's eve. It utilizes 100 mocked tools to compare the efficiency of Jev versus standard LLM tool selection processes by measuring the number of steps required for task completion.
JEVLAB ARTEnglishSource-linked curation
JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
JEVLAB ARTEnglishJev PASSFIT 74%CAT 98%
An idiomatic Zig client for the TypeSafe AI API.
JEVLAB ARTEnglishJev PASSFIT 86%CAT 89%
This repository serves as a curated directory of Jev-based projects. It provides a standardized GitHub workflow designed to facilitate the review and integration of Jev-only development tools within the ecosystem.
JEVLAB ARTEnglishSource-linked curation
Ian NuttallThis community tool uses Jev to automatically identify and filter unwanted reply-guy comments on social platforms. It demonstrates a practical application of automated content moderation to improve user interaction quality by filtering specific types of unsolicited responses.
EnglishJev HOLDFIT 51%CAT 75%
This Python CLI tool demonstrates an experimental approach to semantic line searching using TypeSafe Jev and OpenRouter. It provides a lightweight interface for querying data without requiring complex runtime dependencies.
JEVLAB ARTEnglishSource-linked curation
Jev attempted to draw on a pixel canvas but failed to produce recognizable output, indicating limitations in its generative capabilities.
JEVLAB ARTEnglishJev HOLDFIT 69%CAT 83%
OFFICIALTRANSLATEDTypeSafe AIThis official reference documentation provides a comprehensive overview of available Client SDKs for TypeSafe AI. It serves as a foundational resource for developers looking to integrate TypeSafe AI capabilities into their own applications using supported programming languages.
JEVLAB ARTEnglishJev PASSFIT 94%CAT 99%
AskJev 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 ARTEnglishSource-linked curation
This resource outlines the core functions and evaluation metrics of Jev, presented as the System One model by TypeSafe. It provides an overview of how the system operates and the criteria used to assess its performance in agentic workflows.
JEVLAB ARTEnglishSource-linked curation
Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
JEVLAB ARTEnglishJev PASSFIT 72%CAT 81%
jevcal 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 ARTEnglishSource-linked curation
Zahle KhanJev board is a tool designed for ambient intelligence interfaces. It demonstrates the integration of fast, reliable models to facilitate responsive user interactions within a generative UI framework.
EnglishJev HOLDFIT 23%CAT 46%
OFFICIALTypeSafe AIJev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
EnglishJev PASSFIT 72%CAT 98%
s1-rs provides a typed System One layer for Rust, focusing on choice, scoring, and Noul mechanisms. This library demonstrates an architectural approach to integrating intuitive decision-making patterns directly into Rust applications through structured, type-safe abstractions.
JEVLAB ARTEnglishSource-linked curation
This Jev-powered system automates document processing by analyzing PDFs page by page. It demonstrates a decision-making workflow that identifies which specific pages require OCR, aiming to optimize resource usage during document digitization tasks.
JEVLAB ARTEnglishJev HOLDFIT 58%CAT 98%
This demonstration explores using Jev for automating Android end-to-end testing workflows. The creator claims the tool achieves faster execution speeds compared to existing alternatives, though these performance metrics remain unverified by independent benchmarks.
JEVLAB ARTEnglishSource-linked curation
This 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 ARTEnglishSource-linked curation
This command-line interface facilitates interaction with the Jev evaluation model. It demonstrates a workflow for submitting typed queries and receiving responses formatted as structured JSON, aiming to streamline automated evaluation processes for developers working with TypeSafe AI systems.
JEVLAB ARTEnglishSource-linked curation
0xCodilaA setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
EnglishJev HOLDFIT 59%CAT 68%
OFFICIALTRANSLATEDTypeSafe AITypeSafe 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 ARTEnglishJev PASSFIT 89%CAT 100%
This repository serves as a sandbox for testing Jev, the System One model from TypeSafe. It provides a practical environment for developers to explore the model's capabilities through various experimental implementations and code samples.
JEVLAB ARTEnglishSource-linked curation
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.
EnglishJev HOLDFIT 67%CAT 45%
OFFICIALTRANSLATEDTypeSafe AIThis official TypeSafe guide explains the architectural pattern of intent routing. It demonstrates how to categorize user inputs to direct requests toward specific processing logic, ensuring more accurate and reliable handling of complex conversational tasks.
JEVLAB ARTEnglishJev HOLDFIT 90%CAT 64%
This unofficial PHP SDK provides an interface for the TypeSafe AI System One API. The creator claims it maintains functional parity with official JavaScript and Python SDKs, though it is not affiliated with TypeSafe AI.
JEVLAB ARTEnglishSource-linked curation
OFFICIALTRANSLATEDTypeSafe AIThis pattern demonstrates a method for routing requests based on model confidence scores. It teaches how to implement conditional logic to ensure higher quality outputs by directing tasks to appropriate processing paths.
JEVLAB ARTEnglishJev PASSFIT 91%CAT 86%
This resource demonstrates how to access Jev via the Vercel AI Gateway. It outlines the integration process and discusses potential business applications for the platform, providing a practical guide for users looking to implement Jev in their workflows.
EnglishJev HOLDFIT 52%CAT 93%
This research demonstrates how Jev integrates into recommendation systems. The creator claims the model generates over 70 personalized suggestions per user, citing specific operational costs per user for the implementation.
JEVLAB ARTEnglishJev HOLDFIT 46%CAT 22%
A community post compares Jev's performance to Astra in gaming scenarios, highlighting its unique approach.
JEVLAB ARTEnglishJev HOLDFIT 61%CAT 72%
This 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 ARTEnglishSource-linked curation
MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.
JEVLAB ARTEnglishJev HOLDFIT 80%CAT 45%
This repository provides an MCP server implementation that exposes TypeSafe System One judgments, including noul, choice, and score, as functional tools for AI agents. It demonstrates how to integrate structured judgment data into agentic workflows.
JEVLAB ARTEnglishSource-linked curation
This repository evaluates TypeSafe System One primitives including Choice, Score, and Noul. It demonstrates how typed oracle structures can provide more reliable outputs compared to standard large language model calls for specific decision-making tasks.
JEVLAB ARTEnglishSource-linked curation
OFFICIALTRANSLATEDTypeSafe AIThis TypeSafe AI guide demonstrates techniques for categorizing retrieved passages within RAG pipelines. It teaches developers how to implement classification logic to improve the relevance and accuracy of information retrieval systems.
JEVLAB ARTEnglishJev PASSFIT 88%CAT 92%
WXT browser extension: Jev-powered page clutter removal with reusable template rules.
JEVLAB ARTEnglishJev HOLDFIT 54%CAT 81%
This 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 ARTEnglishSource-linked curation
This 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 ARTEnglishSource-linked curation
This repository provides a comprehensive tracker for the Jev ecosystem, documenting over 220 cases. It offers confidence-graded entries that are automatically rescanned every three hours and includes a guide for API access.
JEVLAB ARTEnglishSource-linked curation
One AI trade decision every Monad block. Jev on Kuru MON-USDC.
JEVLAB ARTEnglishJev PASSFIT 70%CAT 99%
This article provides a conceptual overview of Jev, clarifying its core purpose and technical boundaries. It serves as a foundational guide for developers looking to distinguish between Jev's intended functionality and common misconceptions.
JEVLAB ART
日本語Source-linked curation
Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.
JEVLAB ARTEnglishJev PASSFIT 78%CAT 100%
I tortured Jev into being a RISC-V CPU.
JEVLAB ARTEnglishJev HOLDFIT 44%CAT 48%
Jev processes game state data to make decisions and play Super Mario Bros. effectively.
JEVLAB ARTEnglishJev HOLDFIT 57%CAT 98%
Idiomatic Go SDK for the TypeSafe AI API.
JEVLAB ARTEnglishJev PASSFIT 88%CAT 97%
LegalForecast-MTD benchmark alpha and official evaluation workflows.
JEVLAB ARTEnglishJev HOLDFIT 10%CAT 65%
This command-line tool integrates with the TypeSafe AI Jev model to perform structured analysis on text. It supports yes/no, multiple-choice, and rubric-based queries, returning calibrated probabilities for use in shell scripts, CI pipelines, and AI agent workflows.
JEVLAB ARTEnglishSource-linked curation
Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit.
JEVLAB ARTEnglishJev HOLDFIT 67%CAT 51%
RomànThis demonstration showcases Jev processing 700 leads to predict outreach performance. The creator claims the system completes this analysis in 40 seconds, illustrating a potential workflow for rapid lead qualification and messaging optimization.
EnglishJev HOLDFIT 63%CAT 85%
Türkçe ve İngilizce doğal konuşmayla Windows 10/11 bilgisayar kontrolü: OpenAI Realtime, local Whisper, Jev, UI Automation ve Playwright.
JEVLAB ARTEnglishJev HOLDFIT 69%CAT 78%
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
JEVLAB ARTEnglishJev HOLDFIT 68%CAT 98%
IzzuddinUses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
EnglishJev PASSFIT 70%CAT 100%
A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
JEVLAB ARTEnglishJev HOLDFIT 53%CAT 41%
A Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
JEVLAB ARTEnglishJev HOLDFIT 63%CAT 50%
This SDK enables PHP developers to integrate Jev into their applications. It facilitates sending text and typed queries while retrieving structured answers with confidence scores, supporting PSR-18 clients and various Laravel versions.
JEVLAB ARTEnglishSource-linked curation
terrarium 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 ARTEnglishSource-linked curation
This 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 ARTEnglishSource-linked curation
Submit a find
한국어
Español
Français
Deutsch
简体中文
繁體中文
Português
Bahasa Indonesia
ไทย
Italiano
Tiếng Việt
Türkçe
Polski
Русский
4 HIGHLIGHTS
Agents & browsers
Tools & apps
Start here
TRANSLATED
Research & data
Decisions & routing
Games & real time
LAB PICK
Markets & experiments
Creative & growth