How AI Agents Actually Work

An AI agent is not magic. It is a language model placed inside a loop, given a goal, a set of tools and a way to observe the results of its own actions.

The loop

• Observe the request and current state
• Reason about the next best step
• Call a tool — a CRM search, an API, a database query
• Check the result and decide whether the goal is met

Everything interesting about production agents lives in the details of that loop: which tools exist, what permissions they carry, how failures are handled and when a human is pulled in.

What makes agents reliable

Reliability comes from narrow, well-described tools, explicit stopping conditions, an evaluation set built from real cases, and observability that lets you replay every decision the agent made.

The best agents are boring: clear tools, clear limits, clear escalation.