AI Agents Explained (With Examples)
Interactive AI lesson10 min · Lesson 1 of 4
Understand how an AI agent works
An agent combines a model with instructions, tools, state and a control loop. It observes a task, selects an allowed action, receives a result and decides what to do next.
What you’ll learn
- The model proposes decisions
- Tools perform bounded operations
- State carries relevant context
- The application controls limits and termination
Agent loop
Goal → inspect permitted context → choose an approved tool → validate arguments → execute → record result → stop or continue within the step limit.Hands-on activityDraw the loop for an agent that helps a learner find, compare and bookmark a course.
Knowledge check
Which component should enforce step limits?