JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
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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 ARTAI-assisted summaries and translations. Check original sources for context and performance claims.
JEVLAB ARTJev Ultrafast is a browser agent designed for efficiency. It selects operations and DOM elements in a single request, utilizing a small language model only when text input is required to complete specific browser tasks.
EnglishThis community post demonstrates Jev's ability to generate text. It serves as a direct response to previous claims suggesting the model lacked this functionality, providing evidence of its practical application in language tasks.
JEVLAB ARTEnglishThis demonstration showcases Jev playing Flappy Apex independently. The creator claims the agent achieves high scores autonomously by utilizing Appduct and Fable frameworks to navigate the game environment without manual input.
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JEVLAB ARTThis 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.
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JEVLAB ARTThis Chrome extension integrates Jev to obscure potentially distracting YouTube video content. It provides a manual override feature, allowing users to reveal the video player only when they explicitly choose to do so.
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JEVLAB ARTThis tool demonstrates a method for verbatim Jev-scored context reduction within omp environments. It provides an interface for managing data flow across TypeSafe or OpenRouter platforms to optimize context usage for AI agents.
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JEVLAB ARTThis project implements a Wikipedia link racing game using Jev ranking. It demonstrates a breadth-first search approach to finding paths between articles, featuring a live terminal interface for tracking progress during the race.
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JEVLAB ARTThis project implements a single-agent coding coprocessor utilizing Jev semantic gates. It demonstrates a workflow for performing baseline-to-current diff reviews and integrates append-only observability telemetry to track agentic code modifications.
EnglishJEVLAB ARTThis Val Town demonstration showcases a real-time interface where sixteen distinct typed judgments update dynamically as the user inputs text. It serves as a practical experiment for observing live type-checking feedback within a web-based environment.
EnglishTypeSafe AIThis official documentation provides the reference for the TypeSafe AI JavaScript SDK. It outlines the necessary methods and integration patterns for developers to implement TypeSafe functionality within their JavaScript-based applications.
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JEVLAB ARTJob Risk Analyzer provides a CLI and REST API interface to evaluate professional roles. It uses Jev to score occupations based on their potential exposure to AI-driven workforce displacement and their relative resilience in an evolving labor market.
EnglishTypeSafe AIThis TypeSafe AI reference explains the implementation of hierarchical classification systems. It demonstrates how to structure data taxonomies to improve model accuracy when categorizing complex information into nested, multi-level labels.
JEVLAB ARTEnglishJEVLAB ARTThis repository provides a curated collection of evidence-backed use cases and architectural patterns for Jev. It serves as a structured guide for developers building with TypeSafe AI's System One model, emphasizing sourced and verified implementation strategies.
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JEVLAB ARTThis experiment demonstrates the application of Jev to process a large personal writing archive. The author reports that the tool completed a comprehensive review of their entire body of work in under one second.
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MovezThis tool demonstrates a method for evaluating social media content by processing 100,000 posts through a series of binary questions. The creator claims this approach assesses viral potential efficiently, though the effectiveness of these specific metrics remains unverified.
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JEVLAB ARTThis browser extension aims to improve user focus by automatically blurring low-value content on LinkedIn. The project demonstrates a practical approach to filtering social media feeds to reduce digital clutter and improve browsing efficiency.
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JEVLAB ARTThis Claude Code plugin replaces standard compaction summaries with Jev-based decision-making. It scores tool calls and results in a single request, automatically pruning or truncating stale data while preserving essential information in its original format.
EnglishJEVLAB ARTThis project explores the application of Jev for financial market forecasting. The creator notes that the model demonstrates limited predictive accuracy, consistent with the performance of other large language models in this specific domain.
EnglishTypeSafe 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.
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JEVLAB ARTCerebellum-2B is a non-autoregressive AI agent model built on Qwen3.5-2B. It demonstrates O(1) tool routing and DOM automation capabilities, offering an open-source alternative for developers exploring efficient agentic decision-making processes.
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JEVLAB ARTLoki 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.
EnglishJEVLAB ARTThis tool demonstrates a cost-optimized model router for OpenRouter using Jev. It replaces static model lists with a dynamic, live catalog scorer to select appropriate models for specific tasks.
EnglishThis experimental tool utilizes Jev to analyze and lint Supabase Row Level Security policies. It aims to assist developers in identifying potential configuration issues within their database security rules through automated inspection.
EnglishJEVLAB ARTjevcache provides a lightweight decision caching mechanism for TypeSafe Jev-class models. This tool enables developers to memoize model outputs, ensuring that repeated requests are deterministic, shareable, and computationally efficient through a compact binary implementation.
EnglishJevinik is a stock evaluation tool that utilizes Jev to facilitate rapid market analysis. The project demonstrates how automated processing can be applied to financial data to assist users in evaluating market trends and research.
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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.
EnglishJEVLAB ARTThis 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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Ilias IsmThis project demonstrates migrating hard-coded logic into Jev to optimize AI processing workflows. The creator claims this transition improves efficiency and reduces operational costs for tools like aiseotracker and linkdr.
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JEVLAB ARTThis project provides a routing mechanism for Jev tasks by evaluating model tier, required tools, skill level, and effort. It demonstrates a structured approach to task distribution within automated workflows.
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JEVLAB ARTmimicry is a tool designed to rewrite AI-generated drafts to match a specific personal voice. It utilizes a bounded TypeSafe feedback loop to maintain consistency and control throughout the text refinement process.
EnglishJEVLAB ARTThis project demonstrates a chess-playing experiment where the Jev model competes against the Stockfish engine. It serves as a practical test of the model's decision-making capabilities within a structured game environment.
EnglishTypeSafe AIThis documentation defines the RetryPolicy interface for the TypeSafe AI SDK. It outlines configurable parameters for handling API connection errors, timeouts, and HTTP status codes, allowing developers to customize retry behavior and backoff strategies.
JEVLAB ARTEnglishThis 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.
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JEVLAB ARTsolari-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.
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TianyuCodingsNanoJev is a compact implementation of the Jev architecture designed to produce full probability distributions within a single forward pass. This tool demonstrates an approach to optimizing model output efficiency for specific computational tasks.
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简体中文
JEVLAB ARTThis project implements a chess game where moves are processed as typed Choice decisions using the Jev model. It demonstrates how formal type systems can structure strategic game logic within an AI-driven environment.
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JEVLAB ARTjevbetter provides a one-pass scoring mechanism for text options using hashed n-gram encoding and rival-aware attention. The project demonstrates a gated head architecture with temperature scaling, offering a comparative performance analysis against the jevlike scoring method.
EnglishThis 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.
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PauliusThis project introduces a system for deploying agents directly onto digital canvases. The creator claims this approach bypasses traditional, slower LLM processing workflows to enable more rapid agent interaction and deployment within the interface.
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JEVLAB ARTThis tool provides real-time tone analysis for Bluesky posts and drafts. It demonstrates an integration with the TypeSafe Jev API to automatically label the emotional sentiment of text content before publication.
EnglishJEVLAB ARTThis 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.
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Eric ZhangThis project provides a Jev-compatible public API leveraging open models. It demonstrates an approach to achieving fast parallel processing for Jev-based workflows using the sglang framework.
EnglishTypeSafe AIThis resource outlines architectural patterns for AI systems, including speculative fan-out, confidence-gated routing, composite scoring, and intent routing. It provides a structured approach for developers to manage complex LLM workflows and improve response reliability.
JEVLAB ARTEnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTThis Claude Code plugin integrates Jev to score review findings, debugging hypotheses, and design options. It aims to provide calibrated probability assessments rather than subjective opinions during the development process.
EnglishJEVLAB ARTThis desktop application demonstrates a paper-trading system that uses TypeSafe's Jev model to analyze live market data. It executes simulated trades based on predefined rules, providing a visual interface for monitoring agent decisions and performance without using real capital.
EnglishTypeSafe AIThis documentation defines the APITimeoutError class within the TypeSafe AI SDK. It explains how the class handles connection timeouts by extending APIConnectionError and provides access to the specific timeout duration in milliseconds for error handling.
JEVLAB ARTEnglishJEVLAB ARTThis project features a guide-directed agent for World of Warcraft. The creator claims the system is designed to optimize and reduce in-game expenses as the agent continues to operate over extended periods of time.
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Florian DarromanThis event features 100 developers using Jev and Fable 5.1 to build a post scheduler. The demonstration highlights the speed of the Jev framework during rapid application development cycles.
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JEVLAB ARTThis project demonstrates the application of Jev for automated trading strategies. It provides a framework to backtest buy, sell, and hold decisions using NQ L10 order-book data to evaluate model performance in simulated market environments.
EnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTThis project demonstrates a voice-controlled macOS automation tool. It utilizes local whisper.cpp for speech recognition and integrates a single Jev TypeSafe call per command to process and execute system-level tasks on your computer.
EnglishJEVLAB ARTThis OpenTelemetry Collector connector utilizes Jev to evaluate metric metadata. It demonstrates how to implement automated retention policies for metrics before they are exported to external systems.
EnglishThis project demonstrates a workflow for generating pixel art by utilizing a sketch-and-refine loop. It showcases how Jev and DeepSeek can be integrated to iteratively improve digital illustrations through automated feedback cycles.
EnglishThis project demonstrates a playful application of Jev technology to generate randomized responses to user inquiries. It functions as a digital novelty tool, showcasing how Jev can be integrated into interactive, decision-making interfaces for casual entertainment purposes.
EnglishJEVLAB ARTjlink provides a framework for linking data records using plain-English matching rules. It utilizes Jev Noul pair judgments to perform local candidate blocking and automated match resolution for record linkage tasks.
EnglishJEVLAB ARTThis 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.
EnglishThis guide outlines the core architecture of Jev AI, specifically detailing three distinct categories of micro-decisions. It serves as an educational resource for understanding how the system processes granular operational choices to facilitate automated decision-making workflows.
EnglishJEVLAB ARTThis repository provides three composable judgment pipelines built on Jev. It demonstrates automated workflows for managing support-ticket triage, observability alert classification, and deploy-risk assessment to help streamline decision-making processes within technical environments.
EnglishJEVLAB ARTThis project demonstrates an implementation of the JEV model applied to the classic game Tetris. It serves as an experimental showcase for how the model handles real-time decision-making and spatial logic within a structured gaming environment.
EnglishThis demonstration showcases Jev navigating a webpage by selecting specific candidate links to reach a defined goal. It illustrates the agent's decision-making process for link interaction within a browser-based environment.
JEVLAB ARTEnglishJEVLAB ARTThis project presents a cooperative platform shooter where a TypeSafe Jev agent acts as a teammate. It demonstrates an experimental integration of autonomous AI agents within a fast-paced gaming environment to facilitate collaborative player-AI gameplay dynamics.
EnglishJEVLAB ARTLLMtoJev is a tool that analyzes LLM prompts to identify bounded decisions suitable for migration to Jev primitives. It helps developers extract classification, scoring, and boolean tasks from generative prompts to improve efficiency and structure.
JEVLAB ARTThis project evaluates the calibration of Jev using 900 rule-generated support tickets and public benchmarks. It provides an independent analysis of model miscalibration through ECE metrics and temperature refitting, offering a reproducible framework for testing model reliability.
EnglishJEVLAB ARTThis unofficial Go SDK provides a structured interface for interacting with TypeSafe AI. It demonstrates implementation patterns for handling typed responses, managing request retries, and maintaining context within Go applications.
EnglishJEVLAB ARTThis browser-based tool simplifies creating requests for TypeSafe Jev by providing a template-driven interface. It allows users to fill in required fields locally without needing JSON knowledge or software installations, streamlining the request generation process.
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JEVLAB ARTThis project provides a mechanism for automatic context clearing within Pi. It aims to manage memory usage while preserving essential conversation history for ongoing interactions.
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JEVLAB ARTzerosweep is an autonomous system-one triage engine and benchmark built on TypeSafe AI. The project demonstrates the integration of RLCD epistemic safety gates for automated decision-making processes.
EnglishThis project showcases an autonomous agent designed to play Tetris. It demonstrates rapid decision-making capabilities, highlighting the potential for real-time game automation through algorithmic play.
EnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTChatJev is a developer project that explores decision-making processes by utilizing a classifier as a next-token predictor. This experiment demonstrates how classification models can be adapted to influence sequence generation within a Jev-based architecture.
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4 HIGHLIGHTS
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