An AI agent is a system designed to pursue a goal, not just respond once and stop. A normal chat model answers the prompt in front of it. An agent goes further: it can break the task into steps, choose actions, call tools, inspect results, and decide what to do next. That makes it useful for real work like researching vendors, checking documents, summarizing findings, or preparing a draft based on multiple sources. The important idea is that the agent is acting with a goal in mind, even if the work takes several turns or tool calls. Good agents are built with constraints, tool access, fallback rules, and sometimes approval steps, so they stay useful without becoming unpredictable.
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What an AI Agent Actually Does
An agent is not just a chatbot with a fancy name. It is a system that can understand a goal, decide what to do next, use tools when needed, and keep moving until it reaches an answer or action. For busy professionals, this matters because agents can handle multi-step tasks instead of giving only one-shot replies.
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