Chatbot vs AI Agent
Conversational interface vs autonomous executor.
/ quick answer
Both use LLMs, but they solve different problems. A chatbot answers; an agent acts. Mixing them up leads to over-engineered Q&A or under-powered automation. Conversational interface vs autonomous executor.
| Dimension | Option A | Option B |
|---|---|---|
| Primary mode | Reply to messages | Execute multi-step goals |
| State | Mostly stateless per turn | Maintains plan + memory |
| Tools | Few or none | Many, with planning loop |
| Risk profile | Low (text out) | Higher (real-world actions) |
- →Help center Q&A over docs → Chatbot (RAG)
- →Research, outreach, ops execution → AI Agent
What is the difference in Chatbot vs AI Agent?
Both use LLMs, but they solve different problems. A chatbot answers; an agent acts. Mixing them up leads to over-engineered Q&A or under-powered automation.
What are the main points of comparison?
Primary mode: Reply to messages vs Execute multi-step goals · State: Mostly stateless per turn vs Maintains plan + memory · Tools: Few or none vs Many, with planning loop · Risk profile: Low (text out) vs Higher (real-world actions)
Which one should I choose?
Choose chatbot when the value is in the answer; choose agent when the value is in the action. Never build an agent for a task a chatbot can do.