AI Agents Topic Hub

AI agents are systems that use models, tools, context, and workflow logic to complete multi-step tasks. This hub groups practical guides on agent concepts, automation patterns, function calling, and the Model Context Protocol so readers can move from definitions to implementation tradeoffs.

Start here

Use this page as a guided path through related explainers and comparisons. Start with the broad overview, then move into the implementation, evaluation, and risk topics that match your project.

Key questions

• What makes an AI system an agent rather than a chatbot or single prompt?
• Where do tool use, function calling, memory, and workflow orchestration fit?
• What risks should teams evaluate before giving agents access to business systems?

Related guides

• What are AI agents?
• What is agentic AI?
• What are AI automation workflows?
• What is function calling in LLMs?
• What is Model Context Protocol (MCP)?