{"id":2026103141,"date":"2026-11-11T10:01:17","date_gmt":"2026-11-11T03:01:17","guid":{"rendered":"https:\/\/danieel.id\/?p=2026103141"},"modified":"2026-11-11T10:28:06","modified_gmt":"2026-11-11T03:28:06","slug":"what-is-an-ai-agent","status":"publish","type":"post","link":"https:\/\/danieel.id\/en\/what-is-an-ai-agent\/","title":{"rendered":"What Is an AI Agent? How It Differs from Chatbots, Skills, and Workflows (with Real Examples)"},"content":{"rendered":"
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Type “please sort out my business trip to Medan next week” into a chatbot, and you’ll get a tidy list of suggestions: check flight schedules, compare hotel prices, prepare your travel authorization letter. Give the same sentence to an AI agent, and the story changes. It opens the airline’s website, matches flight times against your calendar, shortlists two hotels, and then pauses to ask, “Which one should I book?”<\/p>\n

That’s the simplest difference to keep in mind: a chatbot tells you the steps, while an AI agent actually helps carry them out. An AI agent is an AI system that is given a goal, access to tools (such as a browser, email, or a spreadsheet), and the freedom to plan and carry out its own steps until the goal is reached<\/strong>, while a human still signs off on the actions that matter.<\/p>\n

In one breath: a chatbot answers a single request, a skill stores a way of working you use again and again, a workflow runs steps in an order you’ve already set, and an agent decides its own next step based on the goal and on what it sees along the way.<\/p>\n

Think of it as having a new assistant at the office. On day one, we just ask them questions. The following week, we hand them a written SOP. Then we put together a checklist they follow step by step. Only once we trust them enough do we say, “Please make sure all supplier invoices are settled this week,” while handing over a few keys to the filing cabinet. At that point, the important question is no longer “how smart is this assistant?” but “which keys should we actually hand over?”<\/p>\n

This post continues the earlier series on effective AI prompting techniques<\/a>, how to create AI skills for repetitive work<\/a>, and how to build a simple AI workflow<\/a>. To make the differences really click, we’ll use the same example task from start to finish.<\/p>\n

What Is an AI Agent and How Does It Work?<\/h2>\n
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An AI agent works in a repeating loop: it receives a goal, makes a plan, uses tools to take action, checks the results, and then decides on the next step until the task is done or until it needs to ask a human. This loop is what sets it apart from a chatbot, which stops after a single answer.<\/p>\n

Google Cloud defines AI agents<\/a> as software systems that use AI to pursue goals and complete tasks on behalf of users, showing reasoning, planning, and memory, with a degree of autonomy to make decisions. In everyday terms, there are four components worth knowing:<\/p>\n