What are some examples of AI agents?
Everyday examples
Many people already use agents without thinking about it. A coding assistant reads a project, edits files and runs tests. A travel helper searches flights, compares options and drafts a booking summary for you to approve.
Personal agents can sort email, add calendar events or check prices on a schedule. The common thread is that the agent takes actions with tools, not just answers questions.
- Coding assistants that edit and test code
- Research agents that gather and summarize sources
- Scheduling helpers that move meetings
- Price-watch agents that check sites and send alerts
Business examples
Businesses use agents for customer support triage, invoice matching and lead research. A support agent might look up an order, check a return policy and draft a reply for a person to send. Human review is still common for anything involving money or legal risk.
The best early examples have clear inputs, clear outputs and an easy way to check the work. Narrow tasks usually succeed more often than broad ones.
- Support triage with human approval
- Invoice and receipt matching
- Lead research and CRM updates
Common mistakes
- Calling any chatbot an agent, when agents are defined by their ability to take actions with tools.
- Giving an agent broad access it does not need, which raises risk if something goes wrong.
- Assuming agents can run without oversight, when most useful ones still need a person to check results.
