JEVThe best of Jev. Real projects, practical guides and ideas from across the internet.
Updated 4 JEVLAB NEWS posts
What’s new
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 ARTThis 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.
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JEVLAB ARTThis tool provides a high-throughput pipeline for filtering and scoring synthetic or pretraining datasets. It utilizes TypeSafe AI Jev to process Parquet and JSONL files, demonstrating a method for applying typed decisions to large-scale data streams.
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Wayne Suttonaskjev.ai is a platform where users submit inquiries to Jev. The system is designed to provide evaluative judgments on topics rather than offering direct, factual answers to user questions.
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jaffaThis tool utilizes a dataset of 12.8 million viral videos to assist users in drafting social media scripts. The creator claims the generated content is data-backed, though the effectiveness of these scripts remains subject to individual user application.
EnglishThis podcast segment explores the conceptual link between Jevons paradox and the funding model behind TypeSafe AI. It provides an overview of how these economic principles relate to the development and sustainability of modern artificial intelligence projects.
EnglishJEVLAB ARTThis project demonstrates a live integration where Jev evaluates daily news headlines, including politics and odd events. It presents a recurring verdict from three primitives on the existential question of whether AI should eliminate humanity.
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JEVLAB ARTThis resource provides a hosted implementation of typesafe-ai/jev for AI SDK evaluate calls. It demonstrates how to integrate Jev directly through the Vercel AI Gateway, bypassing the need for a separate TypeSafe waitlist for these specific operations.
EnglishTypeSafe AIThis documentation defines the ModelCard interface within the TypeSafe AI SDK. It outlines the required metadata structure, including name, description, and release date fields, used for identifying and managing available AI models.
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Steve KrouseThis interactive demonstration by Steve Krouse showcases a 16-judgment typewriter interface. It serves as a practical example of Jev-based input systems, illustrating how users can engage with judgment-driven logic in a creative, playable environment.
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JEVLAB ARTThis project demonstrates an autonomous Minecraft player controlled by TypeSafe AI. It features real-time decision-making capabilities, including the construction of a Canadian flag, while providing a side-by-side dashboard for monitoring the agent's actions.
EnglishJEVLAB ARTOpenJev provides an open-source framework designed for Jev-compatible systems. This repository serves as a foundational resource for developers looking to explore and implement Jev-compliant architectures within their own artificial intelligence research projects.
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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.
EnglishThis project demonstrates an automated workflow for categorizing large volumes of email. The creator claims the system processes over 63,000 messages in under three minutes, highlighting potential efficiency gains for managing extensive digital correspondence.
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Matthew BermanThis demonstration showcases Jev processing 724 competitor advertisements across 37 brands. It illustrates how the agent identifies and categorizes specific creative elements and ad formats to assist in rapid marketing analysis.
EnglishTypeSafe AIThis official TypeSafe reference outlines the SDE cascade methodology. It demonstrates how to structure multi-stage AI workflows to improve output reliability and logical consistency during complex software development tasks.
JEVLAB ARTEnglishThis project demonstrates an automated trading agent using Jev to interact with Kalshi prediction markets. It showcases the bot executing trades across 15-minute and 1-hour intervals for BTC, ETH, and SOL assets.
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JEVLAB ARTDiffJury is a TypeSafe Jev tool designed to route pull requests based on risk levels. It functions as an automated code review coach to help developers improve their submission quality.
EnglishThis 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.
EnglishThis project demonstrates a sentiment-based backtesting approach for the Danish stock market in 2025. It illustrates how Jev can aggregate diverse data sources to perform financial analysis at a low cost.
EnglishJEVLAB ARTThis 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.
EnglishJEVLAB ARTThis tool enables semantic code searching by scoring lines against specific meanings. It allows developers to perform cross-language queries using logical operators to filter code based on conceptual intent rather than just literal text matches.
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x.comThis resource explores how Jev facilitates automated decision-making. It demonstrates how efficient task sorting and classification can enable new business models, providing a conceptual overview of how these systems function within modern operational frameworks.
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JEVLAB ARTThis community-developed browser extension integrates TypeSafe Jev to automate active tab interactions. It demonstrates a sub-second decision model for browser navigation, though it is not officially affiliated with the TypeSafe organization.
EnglishThis 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.
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JEVLAB NEWSUnitree has unveiled the Dex5-S, a human-sized robotic hand featuring 22 degrees of freedom. This new hardware aims to advance robotic dexterity for tool manipulation at a starting price of $6,500.
JEVLAB ARTThis tool automates GitHub pull request labeling by applying Jev-based typed decisions. It categorizes changes based on conceptual scope rather than traditional line counts to provide more meaningful context for code reviews.
EnglishTypeSafe AIThis documentation outlines the technical contract for the POST /v1/systemone endpoint. It provides developers with the necessary request and response structures required to integrate with the TypeSafe AI system interface effectively.
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JEVLAB ARTThis project demonstrates a minimal Telegram anti-spam bot built using the grammY framework and TypeSafe Jev. It serves as a practical example of implementing automated moderation tools within the Jev ecosystem.
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JEVLAB ARTThis project provides a structured decision engine plugin designed for Agent Harness. It offers native support for DeepSeek Harness and utilizes iPolloWork to enable compatibility with OpenCode and Codex Harness environments.
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JEVLAB ARTThis research project explores integrating Jev with DuckDB to facilitate SQL queries that return structured, type-safe responses. It demonstrates a technical approach to enhancing database interaction reliability through typed data handling.
EnglishJEVLAB ARTShady 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.
EnglishJEVLAB ARTThis 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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JEVLAB ARTThis Scala 3 and ZIO client provides a typed interface for the System One API. It demonstrates how to execute multiple queries in a single round-trip using NamedTuple for structured data handling.
EnglishTypeSafe AIThis resource provides the foundational documentation for TypeSafe AI. It covers core primitives, implementation patterns, and practical cookbooks, alongside comprehensive technical references for the HTTP API and available software development kits.
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JEVLAB ARTAugustus 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.
EnglishTypeSafe AIThis TypeSafe AI reference guide explains the re-ranking process for improving information retrieval accuracy. It demonstrates how to refine search results by re-evaluating candidate documents to ensure the most relevant content is prioritized for the end user.
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JEVLAB ARTArbiter 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.
EnglishJEVLAB ARTjev-spec is a utility designed to verify generated code against predefined requirements. This tool aims to assist developers in ensuring that AI-produced outputs adhere to specific structural or functional specifications during the development process.
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JEVLAB ARTThis tool utilizes the Jev System One model to function as a calibrated reranker. It processes up to 30 documents in a single call, providing a specific probability score for each document to assist in ranking relevance.
EnglishJEVLAB ARTForeman is an agent supervisor designed to manage coding agents. It utilizes Jev-based decision-making processes to help maintain focus and ensure agents remain on their assigned tasks during development workflows.
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Paul WeiThis demonstration showcases the Jev model navigating Slay the Spire 2. The creator claims the model achieves rapid decision-making and high-speed gameplay while processing minimal visual input from the game environment.
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JEVLAB ARTslidepilot integrates voice-driven semantic navigation into Slidev presentations. This project demonstrates how developers can utilize Cloudflare Agents and TypeSafe AI Jev to automate slide transitions based on spoken content during a live presentation.
EnglishJEVLAB ARTThis Python prototype demonstrates an agent playing NES Super Mario Bros. by interpreting structured RAM data. It utilizes Jev to process game state information and determine appropriate movement and jumping actions for the character.
EnglishThis experiment showcases Jev V13 competing in blitz chess matches against various frontier language models. It serves as a demonstration of how different AI architectures handle strategic decision-making and tactical gameplay within a competitive, time-constrained environment.
EnglishJEVLAB ARTThis project demonstrates a task routing system for specialized agents including research, coding, and writing. It utilizes TypeSafe Jev to manage agent workflows and task distribution across various functional domains.
EnglishJEVLAB ARTThis project demonstrates a self-hosted AI email classifier for Gmail built with Jev. It provides a framework for users to implement custom inbox organization and automated spam filtering with integrated cost management controls.
EnglishJEVLAB ARTThis tool identifies breaking API changes by combining deterministic checks with TypeSafe JEV System One semantic analysis. It aims to detect inconsistencies often hidden within OpenAPI documentation prose to ensure better API reliability.
EnglishJEVLAB ARTThis directory serves as a community-curated hub for the TypeSafe Jev ecosystem. It aggregates official SDKs, agent-based demos, and experimental projects that utilize System One models for structured decision-making tasks across various applications.
JEVLAB ARTThis developer project utilizes Jev to analyze and score sales call recordings. It demonstrates a practical application for automated performance evaluation within professional communication workflows.
EnglishJEVLAB ARTThis community-maintained Ruby SDK provides an interface for the TypeSafe AI API. It enables developers to perform structured data classification and routing by defining typed questions, managing retries, and handling API errors within Ruby applications.
EnglishJEVLAB ARTHearth is an autonomous agent that uses TypeSafe Jev to navigate multiple rental marketplaces. It performs browser-based searches to aggregate listings into a single shortlist, focusing on reading and reporting data without executing transactions.
JEVLAB ARTThis repository evaluates the effectiveness of the RLCD-Jev model in identifying sensitive credentials within file snippets. It provides a structured approach to testing how well the model detects real-world secrets in various code contexts.
EnglishJEVLAB ARTThis MCP server integrates TypeSafe Jev into Claude Code, providing structured tools for classification, scoring, and batch processing. It demonstrates how to expose calibrated judgment capabilities as standardized functions for automated agent workflows.
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JEVLAB ARTThis project utilizes Jev as a fuzzy linter to analyze codebases. It demonstrates an automated approach to identifying potential issues by performing an ocular patdown on source files.
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JEVLAB ARTThis 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.
EnglishJEVLAB NEWSJensen Huang describes AI as a transformative force capable of reshaping the global economy. He argues that AI factories will drive industrial growth and create significant demand for physical labor.
JEVLAB ARTThis essay explores the conceptual utility of Jev, a language model designed to operate without generating text. It examines how non-generative architectures might function within AI workflows and the potential implications for specialized data processing tasks.
EnglishJEVLAB ARTThis experimental project demonstrates a Snake game implementation where the engine enforces deterministic rules. It showcases how Jev AI processes structured state data to make movement decisions during each game tick.
EnglishJEVLAB ARTconsole.typesafe.aiTypeSafe AIThis web-based tool allows users to input state data and pose questions to receive typed responses directly in the browser. It serves as an interactive environment for testing TypeSafe AI capabilities and verifying structured output generation.
EnglishTypeSafe AIThis resource documents the AsyncTypeSafeClient for Python, enabling asynchronous interaction with the TypeSafe AI API. It details configuration parameters, logging setup, and methods for managing models and executing system queries.
JEVLAB ARTEnglishAgentRun demonstrates the use of Jev to construct self-sufficient agent workflows. The project highlights how modular automation can be applied to streamline complex task execution within autonomous systems.
EnglishJEVLAB ARTThis repository serves as an introductory guide for developers looking to integrate Jev into their projects using the TypeScript SDK. It demonstrates the fundamental setup steps required to begin working with TypeSafe AI components in a Bun environment.
EnglishJEVLAB ARTThis project provides a security layer for coding agents like Claude Code and Codex. It demonstrates a mechanism to detect prompt injection and prevent unauthorized dangerous actions by leveraging Jev-based validation logic.
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Justine MooreThis project demonstrates how Jev facilitates natural language queries for Zillow real estate listings. It allows users to filter properties using non-standard, descriptive criteria that go beyond traditional search parameters.
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JEVLAB ARTThis 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.
EnglishJEVLAB ARTThis project provides a skill for Hermes and similar AI agents to interface with Jev. It demonstrates how to integrate external agent platforms with Jev services to facilitate structured, typesafe queries within automated workflows.
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JEVLAB ARTThis repository provides a framework for typed, confidence-aware skill routing within Jev-based agent systems. It demonstrates how developers can implement structured logic to direct agent tasks based on specific skill requirements and confidence thresholds.
EnglishTypeSafe AIThis resource documents the UnprocessableEntityError class within the TypeSafe AI SDK. It demonstrates how the library handles HTTP 422 errors, providing a structured way to access response bodies, headers, and request IDs during validation failures.
JEVLAB ARTEnglishThis project demonstrates a fighting game integration that displays real-time decision probabilities using Jev. It illustrates how predictive modeling can be applied to visualize player choices during active gameplay sessions.
EnglishJEVLAB ARTThis 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.
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JEVLAB ARTThis Chrome extension utilizes TypeSafe Jev to re-rank Google search results. It aims to improve user experience by automatically filtering out promotional content and SEO-heavy filler pages from search listings.
EnglishTypeSafe AIThis documentation defines the PermissionDeniedError class within the TypeSafe AI SDK. It represents HTTP 403 access denied responses, inheriting from the base APIError class to provide structured access to status codes, response bodies, and request identifiers.
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