AI agents are software systems designed to pursue a goal over several steps. Rather than respond to a single prompt, they can plan, use tools, observe results and decide what to do next.
What makes an agent different?
Traditional chatbots mainly answer questions. An agent might search through documents, organize a plan, draft an email and present the result for approval. The distinction is not just intelligence; it is the ability to take actions through tools.
Where agents work well
Research summaries, internal knowledge management, repetitive reporting and structured customer-support tasks are promising starting points. The best outcomes happen when goals are clear and humans can review important actions.
What to watch out for
Agents can make mistakes, misread instructions and use the wrong tools. Limit permissions, review consequential decisions and handle confidential information carefully. Reliable automation begins with thoughtful safeguards.