Chatbots vs AI Agents
Understand the key differences between chatbots and AI agents.
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Overview
Chatbots focus on conversation and text generation. AI agents focus on planning and executing actions across multiple steps. Pick the right one based on whether you need answers or automation.
Quick difference table
| Dimension | Chatbots (conversation models) | AI agents (automation) |
|---|---|---|
| Core capability | Dialogue, text generation, explanations | Plan multi-step tasks, call external tools, execute actions |
| Examples | ChatGPT, Claude, Gemini, Ernie, Spark | AutoGPT, BabyAGI, AgentGPT, Copilot, Zapier+AI |
| Strengths | Strong language understanding, easy to start, high-quality generation | Can chain actions, fetch live data, run longer workflows |
| Limits | Usually lack long-term memory; cannot act without user input | Require permissions/tool setup; need human oversight |
When to use chatbots
- Explaining concepts, Q&A, writing and rewriting
- Brainstorming and creative drafts (copy, stories, emails)
- Language practice, summarization, translation
When to use AI agents
- Tasks that need plan + execution: fetch data, draft reports, send updates
- Automating repetitive workflows: task breakdown, tracking, batch processing
- Scenarios that must call calendars, sheets, databases, search, or APIs
Selection tips
- Simple Q&A or writing: start with chatbots (fast, low setup)
- Multi-step tasks with actions: use agents but set scopes and guardrails
- Compliance-heavy orgs: use controllable agents (e.g., Copilot with org data permissions)