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Agents & Automation

Chatbot vs. AI Agent

A chatbot answers pre-scripted questions. An AI agent understands context, makes decisions, and acts – even in situations it wasn't explicitly programmed for.

The words "chatbot" and "AI agent" are often confused, but the difference is fundamental.

A classic chatbot works on decision trees: if the customer writes "complaint," show them a form. If they write "price," show the price list. Outside these pre-scripted scenarios, it can do nothing.

An AI agent (built on an LLM): understands natural language regardless of phrasing, maintains context throughout a full conversation, combines information from multiple sources, can take actions (send an email, write to CRM, create a ticket), and handles situations it wasn't explicitly programmed for.

Example: a customer writes "I have a problem with my delivery from last week, I can't find the order number, but I paid by card around May 15th."

Chatbot: no match found, displays a generic message. AI agent: searches orders by date and payment method, identifies the probable record, checks its status, responds specifically.

If you're currently considering a "chatbot" for customer support or sales, you most likely need an AI agent.

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