JEVLAB / 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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jsort
jsort provides a utility to organize text lines based on semantic meaning. It utilizes the Jev model to perform pairwise comparisons, allowing users to sort data along a specified plain-English dimension.
github.comhermes-typesafe-jev
This project integrates Jev into Noul and Score frameworks to support MCP applications. It demonstrates how developers can implement type-safe structures within agentic workflows to improve reliability when building modular AI-driven systems.
github.comHiggsfield model routing
This demo showcases how Jev dynamically selects the most appropriate AI models for specific video and image generation tasks within the Higgsfield platform. It illustrates an automated approach to optimizing model selection for creative workflows.
x.comtypesafe-mario
This project demonstrates an agent designed to play Super Mario Bros. by processing structured emulator state data. It explores the integration of TypeSafe AI methodologies within a classic gaming environment to automate gameplay actions.
github.comTypeSafe agent skills
This resource provides a collection of official agent skills for Claude Code, Codex, and compatible systems. It demonstrates fundamental primitives, design patterns, and methodologies for structuring effective evaluations within agentic workflows.
github.comJev plays Super Mario Bros.
This experiment demonstrates Jev controlling Super Mario Bros. through fast inference and structured outputs. It serves as a technical showcase for how AI models can potentially manage real-time interactive gaming environments.
x.comLive 3D Character Expressions
This project demonstrates the use of Jev to manage real-time 3D character expressions. It showcases how automated decision-making processes can influence digital animation behavior dynamically during live interactions.
x.comJev Typewriter Launch
This 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.
x.comjev-java
This repository provides an idiomatic Java SDK designed for interacting with the TypeSafe AI Jev System One decision engine. It enables developers to integrate Jev decision-making capabilities directly into Java-based applications.
github.comJev Autonomous Smash Bros. Gameplay
This demonstration shows Jev autonomously controlling multiple characters within a video game environment. The creator showcases the system's ability to execute rapid, real-time decision-making during competitive gameplay scenarios.
x.comJev Browser Automation Evaluation
This resource demonstrates Jev's functional capabilities within browser automation environments. It provides a practical look at how the system handles specific support tasks and navigation workflows, offering a baseline for evaluating its performance in real-world web interaction scenarios.
youtube.comjev-as-a-judge
This project explores the utility of Jev as an automated evaluation framework. It demonstrates a methodology for using Jev to assess model outputs, providing a structured approach for researchers to implement comparative analysis within their own workflows.
github.comriff
riff is a lightweight prose linter that applies ruff-style rule codes to writing. It utilizes the TypeSafe Jev model to provide automated stylistic feedback and consistency checks for technical documentation and general text.
github.comSemIf
SemIf explores the implementation of semantic conditional logic using open-source models. The project demonstrates how to execute these operations locally on consumer-grade hardware like an NVIDIA 3090 GPU.
github.comUXRay
UXRay is a screen overlay tool designed to detect and highlight manipulative interface patterns. This project demonstrates how automated visual analysis can help users identify dark patterns in web design to improve digital transparency.
github.comTypeSafeAI.Net
This project provides a .NET SDK designed to facilitate integration with the TypeSafe AI platform. It serves as a developer tool for managing interactions within the TypeSafe ecosystem using standard .NET development patterns and practices.
github.comjev-codex-router
This tool implements per-turn model and reasoning routing for Codex using Jev. It demonstrates a system that dynamically selects the appropriate model, thinking depth, and speed mode for each individual interaction turn.
github.comUnderstanding Jev Fundamentals
This resource provides a clear overview of Jev, framing it as a specialized decision-making tool. It outlines the practical use cases and inherent limitations of the system to help users understand its intended role in AI workflows.
x.comUnderstanding Jev and Jevons Paradox
This 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.
youtube.comThe Jev launch post
Diogo 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.
x.comtypesafe-skill-router
This tool provides TypeSafe skill routing for the Hermes Agent by identifying the appropriate skill before model execution. It utilizes a standard library approach to optimize agent performance and reduce unnecessary processing costs.
github.comagent-chaperone
agent-chaperone provides a security layer for AI agents by intercepting and screening tool calls and results. This MCP proxy and hooks adapter allows developers to inspect interactions before they are processed by the agent or the external tool.
github.comjev-use
This project provides a framework for voice-controlled automation on macOS. It demonstrates a method for executing system tasks through spoken commands without relying on vision-based AI models.
github.comConfidence
This official TypeSafe reference document outlines the framework for evaluating model confidence. It explains how developers can measure and interpret uncertainty metrics to improve the reliability and safety of AI-driven decision-making processes in production environments.
docs.typesafe.aiSystem One adapter (Python)
This resource provides a drop-in replacement for TypeSafeClient that integrates with OpenAI, Anthropic, and other compatible LLM APIs. It enables developers to perform comparative evaluations between Jev and various chat-based language models.
github.comhundred
This project features a simulated town populated by 100 AI NPCs. It demonstrates a system where Jev determines individual agent actions while the environment generates a collective narrative.
github.comjev-korean-benchmark
This repository provides a reproducible evaluation framework for Jev, focusing on Korean language comprehension and medical text analysis. It includes documented runtime and cost metrics to support performance assessment in specialized domains.
github.comLivestream: coding with Jev
This livestream explores the architectural design of Jev, focusing on its implementation for JSON-predicting models. The session demonstrates practical coding workflows and structural analysis for developers interested in how Jev handles structured data generation tasks.
youtube.comawesome-jev
This 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.
github.comjev-judgment
This tool provides an agent skill designed to transmit completed coding-agent evaluations directly to the TypeSafe Jev platform. It serves as a utility for developers looking to integrate automated judgment workflows into their existing Jev-based development environments.
github.comYes / No
This Noul-based web tool provides binary yes, no, or maybe responses to user inquiries. It demonstrates a simple interface that optionally incorporates web search functionality to assist in generating its answers.
yesno.coderai.devtypesafe-oracles
This 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.
github.comflue-jev-demo
This repository demonstrates how to implement agent routing using TypeSafe Jev integrated with the Cloudflare AI Gateway. It serves as a practical example for developers looking to manage agent workflows through a managed infrastructure layer.
github.comjevify
jevify is an inference engine designed to adapt LLMs for Jev-based workflows. It aims to provide a lightweight and efficient framework for tasks involving automated decision-making, classification, and scoring processes.
github.comUpweight for Hacker News
Upweight is a community project that utilizes Jev to personalize content discovery on Hacker News. It demonstrates how users can apply custom ranking preferences to filter and prioritize the information they consume from the platform.
x.comjev-for-chrome
This 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.
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