From chatbot to agent
A chatbot answers one message at a time. An AI agent is given a goal, breaks it into steps and uses tools to complete them: it can search a knowledge base, call an API, fill in a form or update a record, then look at the result and decide what to do next.
Good first jobs for an agent
- Triage incoming support emails and draft a reply with the right help article
- Collect data from several systems into one weekly report
- Qualify inbound leads by checking a website and a CRM before a salesperson calls
- Prepare a first pass at research, with sources, for a person to review
These tasks share three things: clear inputs, a clear definition of done and a low cost if one attempt is imperfect.
Where agents struggle
Agents are still unreliable on long chains of steps where one early mistake spoils everything after it. They can also take actions you did not expect if their permissions are too wide. Tasks that need judgement, negotiation or accountability should stay with people.
How to keep agents safe
- Give each agent the smallest set of permissions it needs
- Make high-impact actions, like payments or deletions, require human approval
- Log every tool call so you can see what happened and why
- Start in "draft only" mode before letting an agent act on its own
The practical view
Treat an agent like a new junior colleague: give it narrow, well-described work, check its output, and widen its responsibilities only once it has earned your trust.