Guides
Plain-language reference on the parts of an AI operation: the discipline itself, the agents that execute the work, the context layer underneath them, the protocol that wires them to your systems, and how any of it gets found by an answer engine.
What is AI operations?
The discipline of running a business on AI, how it differs from AIOps, and what an operations layer actually does.
Read the guide →What are AI agents?
Agents versus chatbots versus automations, the five parts of a working agent, and the failure modes nobody warns you about.
Read the guide →What is answer engine optimization (AEO)?
Getting cited inside AI answers rather than ranked in a list of links: what answer engines actually read, and how to measure whether it worked.
Read the guide →What is MCP (Model Context Protocol)?
The open standard for wiring models to tools and data: what it solves, when a plain API is the better answer, and how to secure a server.
Read the guide →What is an intelligence layer?
The standing context a company runs on: what goes in it, how it differs from prompts and RAG, and how to keep it from going stale.
Read the guide →Ready to put an AI operations layer underneath your business?
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