AI agents at work

An AI agent is only useful when it can act on real work with real guardrails: a scoped role, the right permissions, durable memory, and a human approval gate where it matters. Without that frame, “agentic” mostly means an unsupervised script with a chat interface.

These guides cover how to define agent roles, how to give agents the context they need without giving away the workspace, and how documentation becomes the memory that makes agents reliable over time.