LLMs

Everybody is building agents right now.

I ran Sonnet 4.6 through five different coding CLIs, three times each, and traced every API call. Same model, wildly different context profiles.

The newest open-source concern around AI that is seeing a lot of interest this weekend is when large language models / AI code generators may rewrite large parts of a codebase and then the 'developers' claiming an alternative license incompatible with the original source license

AnythingLLM is the AI application you've been seeking. Use any LLM to chat with your documents, enhance your productivity, and run the latest state-of-the-art LLMs completely privately with no technical setup.

After 18 months of building and rethinking, Jido 2.0 ships with a simpler BEAM-first agent core, production-ready AI strategies, and a growing ecosystem.

Organizations are actively building agentic knowledge bases for AI agents. Here are six real-world approaches taking shape across the software industry.

Guide from Your Second Brain Is Closed. Your AI Can't Use It. Here's the Fix.

Prompt kit from Your Second Brain Is Closed. Your AI Can't Use It. Here's the Fix.

Watch now | Allow me to introduce you to Open Brain.

LLMs for language and code + Time series and geospatial foundation models

Chatbots talk. Rover does. Drop one script tag and Rover reads your live DOM, clicks buttons, fills forms, and guides users — no screenshots, no remote VM, no knowledge base.

Claude Fast | Guide to Claude Code Agent Teams for parallel multi-agent development. What they are, when to use them, and how they compare to subagents.

Browse and discover Model Context Protocol (MCP) servers for AI tools and applications.

Deliberate preparation is the missing discipline in agentic development

Examining what Agent Infrastructure really means from an infrastructure builder's perspective

Photo by Markus Winkler on Pexels.com Sometimes it takes a single piece in a jigsaw puzzle for the whole picture to come into shape. And that happened earlier this weekend. I was able to crystalliz…

Create structured knowledge packages that extend Claude with domain-specific expertise using Agent Skills.

Technical deep dive into Claude Agent Skills' prompt-based meta-tool architecture. Learn how context injection design, two-message patterns, LLM-based routing, and runtime context modification enable sophisticated AI agent behaviors. Complete implementation guide covering SKILL.md structure, execution lifecycle, permission scoping, and design patterns for building LLM tool systems. Essential for AI engineers, prompt engineers, and technical architects building agentic applications.

Browse 200000+ agent skills compatible with Claude Code, Codex CLI and ChatGPT. The open standard SKILL.md format for AI coding assistants.

Agent Skills are modular capabilities that extend Claude's functionality. Each Skill packages instructions, metadata, and optional resources (scripts, templates) that Claude uses automatically when relevant.

Discover and install skills for AI agents.

Fool me once, shame on you; fool me twice, shame on me.

If you’ve been using Claude Code for a while, you’ve probably hit the moment where one AI session just isn’t enough. Maybe you’re staring…

Coordinate multiple Claude Code instances working together as a team, with shared tasks, inter-agent messaging, and centralized management.

This site contains thoughts and experiences of Jeff Cheezy Morgan that he thought worth sharing.

I like cooking recipes. They’re clean, serene documents where, at some point, one or more utensils enter the stage to perform a task. If you were to write one on how to use AI to augment your work as a technical writer, though, you would have a hard time deciding when and where LLMs come out of the toolbox to aid you. The variety of flavors in which AI presents itself doesn’t help. This is why I’ve come up with a framework that describes applications of the different AI tools at our disposal.

A universal solution to better chatbot responses