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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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jev-canvas
This project demonstrates an interface for drawing on a tldraw canvas using voice commands and finger pointing. The creator claims the Jev system processes actions, targets, and placement within approximately 350 milliseconds per spoken word.
github.comJev Model Router
This demo by Ephraim Duncan showcases a routing system built with Jev. It illustrates how the framework can be used to dynamically determine which AI model should process a specific incoming request.
x.comjev-dev
This demonstration compares Jev and LLM outputs side-by-side using affectus and Vercel AI Gateway. It allows users to observe differences in emotional fluctuation metrics and response latency for identical input statements within a single interface.
github.comawesome-jev-usecases
This 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.
github.comChrome Dino with Jev Decision Scores
This project integrates Jev into the classic Chrome Dino game to provide real-time decision scoring. It demonstrates how external logic can influence gameplay mechanics by displaying live evaluation metrics during the runner sequence.
x.comJevTicktRouter
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.
github.comjev-cli
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.
github.comjev-tetris
This project features a real-time Tetris implementation where Jev-based agents compete against other AI models. It demonstrates game logic integration and multi-agent interaction within a competitive environment.
github.comjevs-fly
This project features a real-time flight simulation game where Jev's decision-making capabilities manage the aircraft. It demonstrates how autonomous logic can be integrated into interactive gaming environments to handle navigation and flight control tasks.
github.comJev Desktop Writing Assistant
This desktop application integrates Jev to provide real-time, structured writing judgments. It demonstrates how the Jev framework can be applied to create Grammarly-style feedback tools for improved text composition and editing workflows.
x.comcodex-context-diet
This Codex plugin utilizes Jev to optimize and trim excessive tool outputs. It aims to improve context management by filtering unnecessary data, helping developers maintain cleaner interaction logs within their automated workflows.
github.comjev-cli
This 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.
github.comjevarena
This open-source platform provides a Bring-Your-Own-Key arena for evaluating Jev and other AI models. It allows users to compare output quality, operational costs, and latency metrics while identifying potential model failures.
github.comMagic Jev Ball
Magic Jev Ball is a tool designed to streamline GitHub pull request workflows. It utilizes Jev to evaluate CI status, diff size, and existing reviews, aiming to provide automated approval decisions within a reported timeframe of 200 milliseconds.
x.comhermes-jev-plugin
This plugin integrates TypeSafe Jev System One decision tools into the Hermes Agent framework. It provides specific functions for checking, routing, scoring, and evaluating agent decisions to improve operational logic and reliability within the system.
github.comJEV-language
This repository provides a foundational framework for the Jev programming language. It serves as a technical resource for developers interested in exploring the syntax and core implementation details of this specific language project.
github.comjev-java SDK
This unofficial Java SDK provides integration for TypeSafe Jev and Vercel AI Gateway. It demonstrates how to implement these services within Spring Boot applications using WebClient for network communication.
github.comAskJev
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.
github.comdmx.to
This X client integrates Jev smart rules to organize your timeline. It demonstrates how automated filtering can categorize posts by topic, type, and perceived usefulness to help users manage information flow more effectively.
dmx.toLurk
Lurk 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.
x.comcommentcop
commentcop is a Jev-powered utility designed to evaluate and audit source code comments. It provides an automated mechanism to review documentation quality, helping developers maintain clearer and more effective code annotations within their projects.
github.comjev-judge
This tool provides a dependency-free CLI and Codex skill for Jev. It demonstrates a method for sending local state to Jev for batched typed judgments while keeping the original state private during the response process.
github.comjev-plays-pokemon-red
This project demonstrates an automated agent playing Pokemon Red using PyBoy. The system manages game logic and arithmetic while the Jev agent selects branching paths, with battle outcomes evaluated against RAM state using Brier scoring.
github.com1kpapers
This project demonstrates the use of Jev to classify over 1,000 AI research papers. It serves as a practical example of automating academic document organization to improve efficiency and reduce processing costs.
x.comHTTP API reference
This 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.
docs.typesafe.aijev-mcp
This MCP server integrates TypeSafe Jev capabilities into agent workflows. It provides structured methods for classifying, scoring, and screening data, aiming to deliver verifiable confidence levels for each automated response generated by the system.
github.comJev and herdr: Model Routing
This demonstration showcases a workflow where Jev dynamically routes tasks to different AI models. It illustrates how users can streamline interactions by selecting specialized models directly within a single terminal interface.
youtube.compi-heed
pi-heed provides runtime constraints for the pi coding agent. It demonstrates a safety mechanism that verifies side-effecting tool calls against user intent before execution, utilizing TypeSafe Jev to enhance operational control during automated coding tasks.
github.comawesome-jev by kraayenjon
This repository provides a curated collection of Jev projects, SDKs, and resources. It serves as a central directory for developers exploring TypeSafe AI's System One model, which focuses on typed decision-making using Choice, Score, and Noul frameworks.
github.comVoice-controlled Figma
This project demonstrates a voice-controlled interface for Figma powered by Jev. It serves as an experimental proof-of-concept for integrating low-cost AI automation into professional design workflows.
x.comPre-parsed value extraction
This official TypeSafe AI guide demonstrates techniques for extracting structured data from pre-parsed inputs. It provides developers with standardized methods to improve reliability when processing complex information within TypeSafe workflows.
docs.typesafe.aiManhattan pathfinding
This experiment evaluates Jev's performance in solving pathfinding tasks by comparing its output against traditional A* algorithm results. It serves as a practical demonstration of how Jev handles grid-based navigation problems in a controlled environment.
x.comCharacter-Level Text Generation with Jev
This project demonstrates a text generation system built on Jev. It utilizes a classifier within an autoregressive loop to produce output one character at a time, showcasing a granular approach to language modeling.
x.comjev_antispam_bot
This 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.
github.comjev-scout
jev-scout is an open-source tool designed to explore repositories and crates. It utilizes the TypeSafe AI Jev System One scoring framework to provide information while aiming to minimize hallucinations during the discovery process.
github.comCritique of Jev Context Compaction
This post examines potential drawbacks of utilizing Jev for AI agent context compaction. It specifically questions the effectiveness of current methods for managing long-term agent history and state within the Jev framework.
x.com
