An AI agent is a system that uses a model, instructions, and tools to move toward a goal. It can look up information and take actions with a defined degree of autonomy. Its permissions, limits, and approval points are part of the design.
How does an AI agent work?
An agent receives a task, decides which tool it needs, observes the result, and selects the next step. The environment must log actions and stop operations outside the authorized scope.
How is it applied in marketing?
A sales agent can check availability in a catalog and prepare a response for a prospect. If a quote requires approval, the system delivers the draft to the responsible person before sending it.
| Concept | Meaning |
|---|---|
| Chatbot | It prioritizes conversation and response. |
| Agent | It coordinates tools and actions for a task. |
Frequently asked questions about AI agents
Is every chatbot an agent?
No. Responding to messages does not involve planning actions or operating tools. A chatbot can incorporate agentic functions.
Does an agent work without supervision?
Its autonomy is configured. Sensitive or business actions may require review before they are executed.
What tools can it use?
Those authorized by its integration: search engines, calendars, CRM, or databases, among others.
How do you verify that it works?
Test representative tasks, tool errors, and permission limits. Log results and actions, in addition to responses.
How is it different from automation?
Conventional automation follows predefined rules. An agent can choose steps based on what it observes, within constraints.
AI Agent: limits you should know
Autonomy does not equal unlimited access. A misinterpretation can affect data or communications. Set minimum permissions, supervision, and a way to revert changes when the operation allows it.
To broaden the context, compare this concept with Bot, Automation and MCP.
Reference source: cloud.google.com. AMD Digital Agency Glossary.
