AgentRouter is a developer platform that provides a unified API to access and switch between multiple AI models, such as GPT and Claude variants, for tasks like coding, reasoning, and automation.
An updated version of the Humanity's Last Exam, a benchmark for AI evaluation, named HLE-Diamond, has been announced and released.
The author explains how they optimized a delivery service's routing engine latency by leveraging Redis hash slots to handle batch operations correctly in a Redis cluster.
A research project presenting a GUI harness that allows users or LLMs to build complex applications using simple vector graphics functions, featuring integrated code execution, history management, and support for multiple open-weight LLMs.
PersonalJarvis is an open-source, self-hosted AI tool that enables the use of local models or API-based models, featuring integrated browser use, routines, a self-learning memory system, and over 40 plugins with support for custom MCP servers and skills.
Introducing Strands harness, a new open-source agent harness that delivers frontier performance with 28% lower token cost compared to other harnesses like Claude Code, supporting multiple AI models and easy deployment.
The author has open-sourced Jev Decisions v1, a dataset of 12 million examples for training AI models on agentic decisions like tool selection and routing, to address data gaps in agent decision-making.
The author shares initial ideas for using Jev and Pi to build a custom harness, focusing on gates, routing, and verifiers, with plans for deeper exploration in follow-up posts.
This article is a tutorial on building a custom AI agent harness using the Pi SDK and Jev, a small decision model for efficient tool call handling and checks in agent loops.
The article examines the complexities of aliasing in type systems for programming languages, using Futhark's in-place updates as an example, and warns about the design challenges it can introduce.
Bonsai-Llama-Jev is an open-source, vision-enabled typed-decision inference system that runs locally with low VRAM and high accuracy, outperforming other systems in a diverse benchmark.
A new technique called JEVfire enables existing LLMs like Qwen to behave more like Jev by modifying decision-making processes without retraining, resulting in significantly faster JSON generation and enabling local AI agents to run efficiently on consumer hardware.
OpenTrainDNN is an open-source, client-side web application that provides real-time visualization of deep neural network training, including backpropagation and weight updates, directly in the browser.
A REPL environment for interacting with the Z80 microprocessor, likely used for development or emulation purposes.
This article describes using DSPy code to generate choice-based JEV decision training data from raw text, highlighting the cost-effectiveness with cheap models like gpt-6-luna and deepseek-v4.1-flash.
This article shares the workflow for creating a 3D game in Codex using GPT 6-Sol, highlighting the challenges in character modeling and large scene assets.
Stuntd is an open-source local proxy that records LLM decision calls, trains a lightweight model to handle them locally, reducing costs while maintaining high agreement with the teacher model.
The post discusses which harness is most powerful for the Qwen 3.8 model, comparing Qwen code and open code in terms of features and usability.
The author tested eight AI phone call agents, categorizing them into build-it-yourself platforms and direct-call services, and evaluated their performance in booking appointments with specific criteria.
The author built a lead-research pipeline using n8n and AI tools, deliberately avoiding an AI Agent for predictability, and invites feedback on the design.