There’s a common misconception I run into constantly: people hear “AI agent” and think “chatbot.” The two could not be more different.
Chatbots React. Agents Act.
A chatbot sits in a widget on your website and waits for someone to ask it a question. It retrieves an answer — maybe from a knowledge base, maybe from an LLM — and hands it back. Conversation over.
An AI agent operates on a fundamentally different level. It:
- Plans — Given a goal, it breaks down the steps required to achieve it.
- Uses tools — It can call APIs, query databases, read documents, write files, and trigger workflows.
- Makes decisions — It evaluates intermediate results and adjusts its approach.
- Completes tasks — It doesn’t just inform. It executes.
Why This Matters for Your Business
When you deploy a chatbot, you get a slightly better FAQ page. When you deploy an AI agent, you get a digital worker that can handle multi-step processes end to end.
Think about the difference:
- A chatbot tells a customer their order status. An agent processes a return, updates inventory, triggers a refund, and sends a confirmation email.
- A chatbot suggests blog topics. An agent researches keywords, drafts content, formats it, and schedules publication.
- A chatbot answers HR questions. An agent onboards a new employee — creating accounts, assigning training, and scheduling introductions.
The Architecture Shift
Building agents requires a different mindset than building chatbots. You need to think about:
- Tool design — What capabilities does the agent need access to?
- Memory and context — How does the agent track state across a multi-step workflow?
- Guardrails — Where do you need human-in-the-loop checkpoints?
- Reliability — How do you handle failures, retries, and edge cases?
These are engineering problems, not prompt engineering problems. And solving them well is where the real competitive advantage lives.
Start With One Workflow
If you’re new to agents, don’t try to automate everything at once. Pick one repetitive, multi-step workflow in your business. Map it out. Then ask: could an agent handle this?
The answer is almost always yes. The question is how well — and that’s where the engineering work begins.
More on that tomorrow.