Agent-native software means AI agents and humans share the same callable actions, data, and permissions. Here's the architecture, the jargon, and a checklist.
Open-weight models now rival GPT-4o and o1. Here's how to run an AI agent locally: hardware, quantization, MCP tool access, and the real cost math.
SUSE, Windows, and Ubuntu are baking agentic AI and MCP into the OS itself. Here's what an agentic operating system means for build vs. buy in 2026.
Extensible software AI lets agents edit real code and data, not just call a metered API. Here's what that means and why the API tax is dying.
How ChatGPT and Claude connectors pull your company data into AI, the security tradeoffs, and why owning your knowledge graph beats renting one.
How to build internal AI agent workflows with open orchestration frameworks and MCP, and why it beats renting per-seat agent platforms.