How AI Agents Work

Overview

An AI agent takes a goal and works toward it by calling tools, observing results and deciding the next step — unlike a fixed script.

Parts

• Model — reasons about what to do next.
• Tools — actions like search, send, query.
• Memory — what it knows from earlier steps.

The loop

while (!done && steps < MAX) {
  action = plan(state);
  result = run(action);
  state = observe(result);
  done = evaluate(state);
}

Guardrails

Cap steps and tokens, validate outputs, and require human approval for risky actions. See our AI Agent Architecture note.