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Practical guides for building, connecting, and governing AI agents.

What is an AI agent?

A practical explanation of agents, tools, memory, and the loop that turns a model into a system that can act.

6 articles

How the Model Context Protocol gives agents a standard way to discover and call tools from external systems.

Create a focused tool-calling agent, give it a safe tool, and run it with clear operational limits.

Model a small collaborative workflow with specialized roles, explicit tasks, and constrained tools.

Build a minimal agent with Google’s Agent Development Kit and expose a typed function as a tool.

A practical checklist for least privilege, runtime policy, approvals, and auditability around autonomous actions.