A chatbot answers questions. An AI agent goes further: given a goal, it plans steps, uses tools such as a web browser, a calendar or a code editor, checks the results and keeps going until it finishes, or asks you for help. Through 2025, many companies launched agent features for research, coding and office tasks.

A simple example

Ask a chatbot, "How do I plan a school trip?" and you get advice. Ask an agent, "Compare three venues for 40 pupils on 12 June and draft an email to the school," and it might search, collect details, build a comparison table and prepare the email for your approval.

What can go wrong

  • Mistakes that add up. An error in step two can spoil step ten.
  • Too much access. An agent connected to your email or files can also leak or delete things.
  • Unclear responsibility. If it acts for you, you are still accountable.

Good rules for using agents

  1. Start with low-risk tasks.
  2. Give only the access that is needed.
  3. Keep a human approval step before anything is sent, paid or deleted.
  4. Check the work, especially numbers and names.

What it means for skills

Telling an agent what you need requires clear thinking: breaking a goal into steps, defining success and testing the result. That is exactly what programming teaches.