AI Agents
AI Agents vs Chatbots: What's the Difference and Which Do You Need?
Both use language models and both can hold a conversation. The difference is what happens after the conversation. This article compares AI chatbots and AI agents so you can choose the right one for the job.
6 min read ·
The short answer
Choose a chatbot when the job is answering questions. Choose an agent when the job is getting something done across your systems.
Side by side
The same underlying models can power both — the difference is in tools, permissions and responsibility.
- Purpose — chatbot: answer; agent: complete a task
- Access — chatbot: knowledge base; agent: knowledge plus tools and APIs
- Output — chatbot: a reply; agent: an action, a record change, a result
- Risk — chatbot: a wrong answer; agent: a wrong action (so approvals matter)
- Effort — chatbot: lower; agent: higher, because of integrations and testing
Examples
A website chatbot answers pricing and product questions from your documents. A support agent answers the same questions, but also checks the customer's order, raises a ticket and schedules a callback. A sales agent qualifies the lead, updates the CRM and books the meeting.
A practical path
Many businesses start with a grounded chatbot, learn what customers actually ask, then give it tools one at a time — turning it into an agent gradually and safely.
Frequently asked questions
Can one assistant be both?
Yes. A single assistant can answer questions and, for specific intents, take permitted actions. The design decision is which actions it may take alone.
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