The key distinction isn't capability — it's autonomy and action scope. A chatbot converses. An agent acts. Both use LLMs, but the architectures, reliability profiles, and appropriate use cases diverge significantly.
The core differences
AI Chatbot
- Single-turn or multi-turn conversation
- Returns text responses
- No external tool access
- No persistent memory by default
- Human-initiated, human-concluded
- Deterministic interaction scope
AI Agent
- Multi-step task execution
- Takes actions in external systems
- Calls APIs, reads files, runs queries
- Manages state across steps
- Can operate autonomously
- Variable action scope per task
When to use a chatbot
💬 FAQ & Policy Q&A
Answering predictable questions from a defined knowledge base — HR policies, product FAQs, documentation search. No external actions required. Chatbot is the right choice: simpler, more reliable, easier to audit.
💬 Guided Intake Forms
Conversationally collecting structured information — support tickets, loan applications, intake questionnaires. The conversation has a defined scope and the output is captured data, not system actions.
💬 Content Generation Assistance
Helping users draft, edit, or improve content — emails, reports, code comments — where the user reviews and sends the output themselves. The chatbot assists; the human acts.
When to use an agent
🤖 Multi-System Orchestration
Tasks that require reading from one system, processing, and writing to another — pulling CRM data, enriching it, updating a second system. Agents handle multi-step workflows; chatbots can't cross system boundaries.
🤖 Autonomous Monitoring
Continuous background tasks with conditional actions — monitoring for anomalies, sending alerts when conditions are met, escalating issues. Agents run without human initiation; chatbots require a conversation prompt.
🤖 Long-Running Research Tasks
Tasks requiring multiple rounds of information gathering, synthesis, and decision-making — competitive analysis, due diligence, compliance checks. Agents maintain state and plan across steps; chatbots lose context between turns.
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