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Back to the labJEVLAB / FIELD NOTES
Fresh from the lab
A dated reading list of newly added resources and JEVLAB NEWS. Come back for what changed, or follow the RSS feed in your own reader.
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Dates show when an item became available in JEVLAB, in UTC, not when its original source was published. Translation-only edits do not count as new resources.
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Cal.com Scheduling Integration
This integration demonstrates how Jev connects with Cal.com to identify available time slots across team calendars. It aims to streamline the meeting coordination process by automating the search for scheduling overlaps.
x.comjev-board-lab
This tool provides an interactive workspace for exploring Jev Board datasets. It demonstrates a structured interface for querying and analyzing specific data points within the Jev ecosystem, facilitating research and data navigation for independent users.
github.comJev Color Perception
This project explores how Jev can be integrated into UX/UI design workflows. It demonstrates the model's potential for interpreting color-related tasks and suggests new ways to interact with creative interfaces through language-based inputs.
x.comjev-web-analyzer
This tool utilizes ReplyNodes web context and Vercel AI Gateway to analyze SaaS websites. It demonstrates how Jev can be applied to evaluate and provide insights on the content and structure of web-based platforms.
github.comjevlike
This community project explores the development of a Jev-like architecture. It demonstrates a methodology for training models by utilizing a reverse-engineered version of the original system architecture.
x.comawesome-jev
This repository provides a curated collection of applications, libraries, and resources for the Jev and TypeSafe System One ecosystem. It serves as a central directory for developers looking to explore available tools and community-driven projects.
github.comjevplayground
This browser-based playground provides an interface for interacting with Jev, the decision model developed by TypeSafe AI. It utilizes the Vercel AI Gateway to facilitate direct experimentation with the model's decision-making capabilities within a web environment.
github.comCriteria-based model routing in Eve
This resource demonstrates a method for high-speed model routing within agent-based systems using Jev. It highlights how criteria-based classification can be applied to optimize task distribution across different AI models.
x.comJev Fighting Game Probabilities
This 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.
x.comAugustus
Augustus 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.
github.comNanocode with selective memory compaction
This project demonstrates a compact agent architecture utilizing Jev memory compaction techniques. It explores methods for managing searchable memory efficiently within constrained environments to improve context retention.
x.comtypesafe-minecraft-demo
This 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.
github.comCodenames with Jev
This 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.
x.comCUA-S1-FORMS
CUA-S1-FORMS is an open-source model designed for automated form-filling tasks. The project emphasizes low-latency performance, aiming to streamline data entry processes through specialized machine learning capabilities for structured input fields.
x.comAgent skill
This 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.
docs.typesafe.aiJev Magic 8 Ball
This 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.
x.comkillmyidea
This tool utilizes Jev to evaluate startup concepts. Users submit their business ideas, and the system provides feedback by suggesting whether to kill, fix, or ship the project based on its analysis.
github.comrubikjev
This project presents a Rubik's Cube puzzle interface designed to test Jev-based logic. It serves as an interactive demonstration of how the model handles spatial reasoning and sequential problem-solving tasks within a game environment.
github.comJevPR
JevPR is a developer tool designed to automate the risk assessment of pull requests. It utilizes Jev to analyze code changes, aiming to assist teams in identifying potential security or stability issues during the review process.
github.comJackalope
Jackalope is a desktop GUI for agentic coding that coordinates tasks across local agents. It utilizes Jev to select the optimal agent for specific assignments while providing automated code review checks and relevant project context.
github.comjev_stock
This experimental framework utilizes JEV to analyze structured market data for short-term stock price forecasting. It serves as a technical demonstration of applying JEV-based logic to financial trend prediction models.
github.comjev-ra
This project provides a browser-based coding agent utilizing an MCP server and CLI. The creator claims the TypeSafe Jev integration enables faster decision-making cycles compared to standard browser-use implementations.
github.comInternal classifier field note
This resource documents a matched-precision comparison between a private fine-tuned classifier and standard models. It provides insights into decision-making accuracy when evaluating specific classification outputs against custom-trained benchmarks.
x.comJev Model Evaluation
This video explores the capabilities of the new Jev model. It provides a practical demonstration of how the architecture functions within the context of System One models and discusses its potential implications for future AI development.
youtube.comjev-predict-skill
This 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.
github.comNews matching for brands
This project demonstrates an automated system designed to analyze news articles and suggest relevant content for brands. The creator claims the tool provides an efficient and cost-effective method for identifying media opportunities.
x.comjevify
jevify is an agent skill designed to identify TypeSafe Jev opportunities. It assists users in crafting structured, typed questions and incorporates insights derived from recent community experiments to improve overall interaction quality.
github.comjev-benchmark
This repository provides a testing environment for the Jev model. It demonstrates practical applications in game development, specifically focusing on chess logic and identifying conversational targets for non-player characters within speech-to-text systems.
github.comlast-exit
This cyberpunk-themed game uses TypeSafe Jev to simulate a tense border crossing encounter. Players must navigate dialogue choices to bluff guards and verify digital receipts to progress through the narrative.
github.comInstant Calorie Tracking
This project demonstrates an application designed for rapid calorie tracking. The developer utilizes Jev to facilitate quick response times, aiming to streamline the user experience for logging nutritional intake through an automated interface.
x.comMac App Support Integration
This project demonstrates how Jev can be integrated into a Mac application to automatically retrieve and present relevant support articles from internal documentation, aiming to streamline the user assistance process.
x.comemoji-jev
This project demonstrates an emoji autocomplete tool built with TypeSafe AI Jev. It showcases real-time input processing within a TanStack Start application hosted on Whop, highlighting the integration of Jev for responsive text-based suggestions.
github.comGuardrails for LLMs
This TypeSafe AI reference guide outlines essential strategies for implementing guardrails in large language models. It demonstrates how to establish safety boundaries to manage model outputs and mitigate potential risks during deployment.
docs.typesafe.aijev-shadcn-lint-eval
This project demonstrates an evaluation framework using Jev to assess the output quality of the shadcn-ui/lint tool. It provides a secondary validation layer to judge how effectively the linter identifies issues within codebases.
github.comjev-browser
This tool provides a local browser automation interface. It utilizes TypeSafe Jev to determine bounded page actions while restricting text models to handling field values only.
github.comswarmrouter
This 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.
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