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.
1,263 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Steve KrouseSteve Krouse's playable 16-judgment demo and video.
EnglishThis 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.
JEVLAB ARTEnglishThis project integrates Jev into application interfaces to provide smart autofill functionality. It demonstrates how automated suggestions can be implemented to streamline user data entry processes and improve overall interaction efficiency within digital forms.
JEVLAB ARTEnglish
x.comA community post describing Jev as a decision-making tool with specific limitations and use cases.
JEVLAB ARTEnglishStarchild utilizes Jev for real-time prompt classification. The creator claims this implementation reduces operational costs by 20x and increases processing speed by 6x, with an average latency of 140ms.
JEVLAB ARTEnglishThis repository features interactive experiments ranging from support routing to 3D driving simulations. It demonstrates how structured sensor data can be processed to generate type-safe driving decisions like steering, braking, and overtaking in a controlled environment.
JEVLAB ARTEnglishSnake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in code.
JEVLAB ARTEnglishThis project explores whether a System One model can effectively steer music generation. It demonstrates a workflow where Jev selects plans using enums to render sheet music, audio, and MIDI files.
JEVLAB ARTEnglish
ZachiA PostgreSQL extension enabling natural language queries across databases.
EnglishThis report provides a comprehensive overview of public Jev builds from their inaugural week. It aggregates repository metadata, development time, and cost metrics to serve as a research resource for analyzing early platform activity and build patterns.
JEVLAB ARTEnglishLegalForecast-MTD benchmark alpha and official evaluation workflows.
JEVLAB ARTEnglishEffect-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 ARTEnglishThis repository provides a framework for evaluating Jev model security. It demonstrates testing methodologies for prompt injection and vulnerable code detection, utilizing the jev-go library to conduct blind benchmarks on System One model performance.
JEVLAB ARTEnglishThis 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 ARTEnglish
Jon KraayenbrinkThis tool utilizes Jev to identify AI-generated content on websites. It demonstrates a method for analyzing specific indicators to flag potential automated material, though the effectiveness of these detection patterns remains subject to ongoing evaluation.
EnglishA project comparing Jev's performance against chat models in analyzing Fed press conferences.
JEVLAB ARTEnglishThis project provides a local MCP gateway designed for Jev tool discovery. It includes a dashboard interface to help developers manage and monitor agentic tools within their local development environment.
JEVLAB ARTEnglish
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.
EnglishThis 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.
JEVLAB ARTEnglishMulti-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
JEVLAB ARTEnglish
x.comA community post explaining Jev's role in improving agent efficiency and cost-effectiveness.
JEVLAB ARTEnglishThis demonstration showcases the integration of Jev within the rtrvr.ai browser agent. It evaluates Jev's functional performance on practical web-based tasks, highlighting its current operational strengths and identifying specific areas for further development when paired with larger language models.
English
Kevin WangLurk is a monitoring tool designed to track Reddit threads for AI-cited data. It provides automated analysis of threads, delivering insights directly to users through email, Discord, or Slack integrations to help monitor information usage.
EnglishUnofficial TypeSafe Jev showcase — System One decisions, not chat.
JEVLAB ARTEnglishA browser-native Doom agent experiment with structured spatial state, composable AI controls, live decision telemetry, and a Chocolate Doom WebAssembly runtime.
JEVLAB ARTEnglishThis 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 ARTEnglishCLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments.
JEVLAB ARTEnglishThis project demonstrates a massively parallel browser-based testing suite designed for adversarial evaluation of software releases. The creator claims this approach enables cost-effective automated testing by running multiple browser instances simultaneously to identify potential vulnerabilities.
JEVLAB ARTEnglishAn evaluation of typesafe AI chess. As it turns out, the AI isn't doing really well even though chess is not a particularly open-ended game. Still, it's only a prototype and this probably wasn't optimzied for games.
JEVLAB ARTEnglishThis project demonstrates an automated macOS agent that performs computer tasks by using OCR to read the screen and TypeSafe to classify actions. The creator claims a cost efficiency of approximately $0.0002 per step for these operations.
JEVLAB ARTEnglishThis terminal interface integrates OpenAI with TypeSafe Jev to provide answers. It demonstrates a workflow that generates transparent decision reports, allowing users to review the reasoning process behind each output provided by the system.
JEVLAB ARTEnglishThis project demonstrates a chatbot implementation utilizing typed Jev decisions. It explores the application of hierarchical speculative decoding techniques applied over System One probability distributions to manage conversational logic and decision-making processes.
JEVLAB ARTEnglishThis 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.
JEVLAB ARTEnglishA calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
JEVLAB ARTEnglish
HassanJev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
EnglishThis project demonstrates a semantic browser interface powered by Jev. It provides a framework for users to navigate web content through Jev-based agentic interactions, focusing on intent-driven browsing experiences.
JEVLAB ARTEnglishThis project explores zero-shot spam filtering using TypeSafe Jev Noul questions. It provides a comparative analysis against traditional TF-IDF baselines to evaluate classification performance in text filtering tasks.
JEVLAB ARTEnglishGuardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags slop.
JEVLAB ARTEnglish⚡ Ultra-fast, low-cost intelligent task classifier and 3-tier routing engine powered by TypeSafe Jev (System One).
JEVLAB ARTEnglishThis repository provides a curated collection of tools, integrations, and experimental projects utilizing Jev. It serves as a central directory for developers exploring TypeSafe AI's System One model for typed decision-making workflows.
JEVLAB ARTEnglish
Hugo MontenegroThis project demonstrates the integration of Jev into the board game Codenames. The creator claims this implementation achieves fast and cost-effective performance during gameplay sessions.
EnglishJev generates piano music by selecting notes and chords based on input sequences.
JEVLAB ARTEnglishVal Town demo where 16 typed judgments update live as you type.
JEVLAB ARTEnglishThis demonstration shows Jev interacting with the mobile strategy game Clash Royale. The footage captures the agent navigating game mechanics to complete and win a match, illustrating its capability to process real-time visual inputs and execute tactical decisions within a gaming environment.
JEVLAB ARTEnglishJ++ is an experimental programming language designed for developers to construct Jev-based queries. This project serves as a specialized tool for interacting with Jev architectures through a custom syntax.
JEVLAB ARTEnglishA community project uses Jev to detect AI-generated text, providing real-time sentence-by-sentence analysis.
JEVLAB ARTEnglish
Paul WeiJev model demonstrates fast decision-making in a strategy game. Achieves high-speed gameplay with minimal visual feedback.
简体中文High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).
JEVLAB ARTEnglishThis project demonstrates a method for predicting the next closed decision of a Jev skill. It utilizes TypeSafe Jev to perform these predictions statically without requiring the target skill to be executed during the analysis process.
JEVLAB ARTEnglishOrus utilizes Jev to evaluate and validate trading strategies prior to execution. This approach aims to improve decision-making processes by providing structured, systematic analysis of proposed market actions.
JEVLAB ARTEnglishBrowser game: try to beat Jev at spotting a spam message.
JEVLAB ARTEnglishThis 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 ARTEnglish5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
JEVLAB ARTEnglishThis project provides a browser-based computer-use rig integrating Chrome DevTools with TypeSafe Jev. It serves as a testing environment for the Browser Use Olympics benchmark to evaluate agent performance in automated web navigation tasks.
JEVLAB ARTEnglish
x.comThis resource introduces Jev as an AI-native system designed for decision-making. It demonstrates how the framework moves beyond simple text generation by defining potential outcomes and programmatically selecting the most appropriate path for autonomous operations.
JEVLAB ARTEnglishA flexible and configurable CLI model router using TypeSafe Jev.
JEVLAB ARTEnglishJev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev).
JEVLAB ARTEnglishDoes a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured.
JEVLAB ARTEnglishThis guide demonstrates how to integrate Jev with LiteLLM to streamline model calls. It explains the configuration process for routing requests through an existing proxy to maintain consistent interaction patterns across different AI services.
JEVLAB ARTEnglishThis project demonstrates an automated workflow where Jev selects specific developer tools, which then trigger Codex to generate corresponding code. It serves as an experimental integration for task-oriented software development automation.
JEVLAB ARTEnglishShady Town is a social-deduction party game designed for living room play. This project demonstrates how a TypeSafe Jev can act as an automated moderator to facilitate gameplay and manage interactions between participants.
JEVLAB ARTEnglishTurn any open model into a classifier/jev endpoint.
JEVLAB ARTEnglishMeasures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
JEVLAB ARTEnglishA test project based on Jev AI, the goal is to build a search function for a blog/article website that has 100s of articles to search from, So the user can actually use the search as chat to question anything and find related answers/articles.
JEVLAB ARTEnglish
Nader DabitThis project demonstrates a predictive launcher powered by Jev. It aims to anticipate user intent by analyzing typing patterns to streamline navigation and task execution within the interface.
EnglishSemantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.
JEVLAB ARTEnglishThis experimental project demonstrates a multi-horizon signal generator for Bitcoin. It utilizes TypeSafe Jev probabilities alongside real-time Binance market data to explore potential price trend indicators within a technical analysis framework.
JEVLAB ARTEnglishThis video guide explores the core capabilities of Jev, demonstrating how it handles browser automation, data classification, and code review tasks without relying on traditional large language models.
EnglishAutomates email categorization of 63,045 emails in under 3 minutes at low cost.
JEVLAB ARTEnglishThis project demonstrates Jev attempting to defeat the Pokémon League in Pokémon Gold. It showcases the use of basic control inputs to navigate the game environment and progress through competitive battles.
JEVLAB ARTEnglishjevocks provides a streamlined interface for monitoring daily stock market status using Jev technology. This project demonstrates how to integrate real-time financial data feeds into a Jev-based application architecture for simplified market tracking.
JEVLAB ARTEnglish
Jarrod Wattsjev-trader demonstrates an automated trading bot that utilizes Jev to analyze asset price feeds. The project showcases how the model makes buy and sell decisions and executes real-world financial transactions based on its internal logic.
English
Submit a find
한국어
日本語
Español
Français
Deutsch
繁體中文
Português
Bahasa Indonesia
ไทย
Italiano
Tiếng Việt
Türkçe
Polski
Русский
4 HIGHLIGHTS
Creative & growth
12
Games & real time
Tools & apps
Agents & browsers
Research & data
Start here
Decisions & routing
Markets & experiments