Feb 26, 2026

Chatbot or Agent? A Plain Guide

Everything you need to know about building, managing, and scaling visual automation workflows.

We want an AI chatbot" and "we want an AI agent" sound like the same request. They aren't. The gap between them is the difference between something that answers questions and something that does work, and confusing the two leads to projects that disappoint everyone.

Here's the plain-English version.

A chatbot answers

A chatbot responds. You ask a question, it gives an answer, and the conversation ends there. Good chatbots are genuinely useful: they handle support questions around the clock, point people to the right information, and qualify leads before a human ever picks up. But the work happens in the conversation. When the chat is over, nothing has changed in your systems.

If your problem is "people keep asking the same questions and we can't keep up," a chatbot is the right tool.

An agent acts

An agent does something. It doesn't just tell you a lead came in, it enriches that lead, scores it, updates the CRM, and routes it to the right rep, with no one touching a keyboard. An agent works across your tools and takes actions on your behalf, following rules you've set.

If your problem is "a person has to manually move work from one system to another," that's an agent, not a chatbot.

How to choose

Ask one question: does this need to answer, or does it need to act? Answering questions, day or night, is a chatbot. Moving work through your business without manual handoffs is an agent. Plenty of companies eventually want both, and they work well together, the chatbot handles the conversation, the agent handles the follow-through.

The mistake to avoid is buying one when you needed the other. A chatbot can't run your operations, and an agent is overkill for a help page. Name the problem first, in those plain terms, and the right choice usually becomes obvious.

Team Image

Marcus Elliot

AI Strategy Lead

Feb 26, 2026

Chatbot or Agent? A Plain Guide

Everything you need to know about building, managing, and scaling visual automation workflows.

We want an AI chatbot" and "we want an AI agent" sound like the same request. They aren't. The gap between them is the difference between something that answers questions and something that does work, and confusing the two leads to projects that disappoint everyone.

Here's the plain-English version.

A chatbot answers

A chatbot responds. You ask a question, it gives an answer, and the conversation ends there. Good chatbots are genuinely useful: they handle support questions around the clock, point people to the right information, and qualify leads before a human ever picks up. But the work happens in the conversation. When the chat is over, nothing has changed in your systems.

If your problem is "people keep asking the same questions and we can't keep up," a chatbot is the right tool.

An agent acts

An agent does something. It doesn't just tell you a lead came in, it enriches that lead, scores it, updates the CRM, and routes it to the right rep, with no one touching a keyboard. An agent works across your tools and takes actions on your behalf, following rules you've set.

If your problem is "a person has to manually move work from one system to another," that's an agent, not a chatbot.

How to choose

Ask one question: does this need to answer, or does it need to act? Answering questions, day or night, is a chatbot. Moving work through your business without manual handoffs is an agent. Plenty of companies eventually want both, and they work well together, the chatbot handles the conversation, the agent handles the follow-through.

The mistake to avoid is buying one when you needed the other. A chatbot can't run your operations, and an agent is overkill for a help page. Name the problem first, in those plain terms, and the right choice usually becomes obvious.

Team Image

Marcus Elliot

AI Strategy Lead

Feb 26, 2026

Chatbot or Agent? A Plain Guide

Everything you need to know about building, managing, and scaling visual automation workflows.

We want an AI chatbot" and "we want an AI agent" sound like the same request. They aren't. The gap between them is the difference between something that answers questions and something that does work, and confusing the two leads to projects that disappoint everyone.

Here's the plain-English version.

A chatbot answers

A chatbot responds. You ask a question, it gives an answer, and the conversation ends there. Good chatbots are genuinely useful: they handle support questions around the clock, point people to the right information, and qualify leads before a human ever picks up. But the work happens in the conversation. When the chat is over, nothing has changed in your systems.

If your problem is "people keep asking the same questions and we can't keep up," a chatbot is the right tool.

An agent acts

An agent does something. It doesn't just tell you a lead came in, it enriches that lead, scores it, updates the CRM, and routes it to the right rep, with no one touching a keyboard. An agent works across your tools and takes actions on your behalf, following rules you've set.

If your problem is "a person has to manually move work from one system to another," that's an agent, not a chatbot.

How to choose

Ask one question: does this need to answer, or does it need to act? Answering questions, day or night, is a chatbot. Moving work through your business without manual handoffs is an agent. Plenty of companies eventually want both, and they work well together, the chatbot handles the conversation, the agent handles the follow-through.

The mistake to avoid is buying one when you needed the other. A chatbot can't run your operations, and an agent is overkill for a help page. Name the problem first, in those plain terms, and the right choice usually becomes obvious.

Team Image

Marcus Elliot

AI Strategy Lead

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