Short answer
An AI agent is a software system that uses an AI model to pursue a goal across several steps, deciding what to do next and using tools such as search, email, spreadsheets or other software to act. A simple way to picture it: model plus instructions, context, tools, memory and a workflow, with checks on the result. For many business tasks, a fixed automated workflow is simpler and more reliable than a fully autonomous agent.
By Chandan Maheshwari, AI mentor & consultant, founder of School of AI · Last updated
Key takeaways
- Agent = model + instructions + context + tools + memory + workflow.
- Agents act; chatbots mostly answer.
- Start with predictable workflows, add autonomy only where needed.
- Human review matters for anything high-stakes.
Examples
Common, practical uses.
- Qualifying incoming enquiries and drafting replies
- Researching a topic and producing a summary report
- Reading invoices and updating a spreadsheet
- Scheduling follow-ups from a CRM
Chatbot vs workflow vs agent
| Chatbot | Automated workflow | AI agent | |
|---|---|---|---|
| Takes actions | No | Yes, fixed steps | Yes, chooses steps |
| Predictability | High | High | Lower |
| Best for | Answering questions | Repeatable processes | Open-ended tasks |
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