Chatbot or agent? They're not the same.

<p id="classic">A classic <strong>chatbot</strong> follows a script or decision tree. It recognizes specific phrases or keywords and returns prepared responses. Example:</p><blockquote>User: "I want to cancel."<br/>Bot: "Click here to cancel your order: [link]"</blockquote><p>Pros: deterministic, controllable, cheap to run. Cons: rigid, frustrating when users go off-script, no real action possible.</p><p>Classic chatbots aren't "dumb" — for the right use case they're often exactly right. If 90% of your inquiries are predictable and stable, a chatbot is pragmatic.</p>

<p id="agent">An <strong>AI agent</strong> understands free language, plans in real time, calls external APIs, and comes back with action. Example:</p><blockquote>User: "Please cancel my order 12345 — if still possible, otherwise let me know."<br/>Agent: <em>calls order system, checks status, finds: not yet shipped → cancels → sends confirmation.</em><br/>Agent: "Order 12345 has just been cancelled. You'll see the refund in 3-5 business days. Confirmation email is on its way."</blockquote><p>What makes the agent: it <em>understands</em> the request (even imprecisely worded), <em>acts</em> on external tools, and <em>reacts</em> to the result. More background: <a href="/learn/was-ist-ein-ki-agent">What is an AI agent?</a></p>

<p id="future">In 2026 the concepts increasingly merge. Today's "hybrid bots" combine both worlds:</p><ul><li>Script path for the frequent, clearly bounded cases (cheap, fast, deterministic).</li><li>Agent path for everything else (flexible, powerful, slightly more expensive).</li></ul><p>We often recommend exactly that: <em>start</em> with a lean chatbot for the top-10 FAQs, <em>in parallel</em> an agent for the rest. After 3-6 months the analytics show where the line should sit.</p><p>Important: don't let the vendor decide — let your data decide. What requests actually come in? Where do users get stuck? What actions should become possible?</p>