AI agents are software systems that can pursue a goal, choose from allowed tools, observe what happened and adjust their next step. A chatbot waits for your next message; an agent keeps working through a bounded, multi-step task.
What is an AI agent in simple terms?
An AI agent is a program that uses an AI model to decide how to complete a task on your behalf. It receives a goal, selects an action, uses an approved tool, reads the result and decides what to do next. The process ends when it reaches the goal, hits a limit or hands control back to a person.
How do AI agents work?
- Goal: the user defines the outcome and what “done” means.
- Plan: the agent decides on a small next step.
- Tool call: it uses an allowed function such as search or a database read.
- Observation: the tool returns information or an error.
- Revision: the agent compares the result with the goal and adjusts.
- Human approval: a person reviews any consequential action before it runs.
Practical examples
- Inbox triage agent that groups emails by urgency
- Customer-support drafting agent that never sends without review
- Research agent that builds a brief from approved sources
- Meeting follow-up agent that extracts decisions and owners
- Coding agent that proposes a patch and runs tests
A safe checklist for beginners
Start with one narrow, low-risk task. Use read-only tools and non-sensitive data. Block send, delete, payment and publish actions by default. Set turn, time and cost limits, keep an action log and review results yourself before expanding the agent’s scope.