These concepts get confused often.
Let me give a quick explanation.
→ *AI Automation*
In an AI automation workflow, we use AI as a step in manually crafted automation workflows.
For example, we might want AI to summarize an input, classify content, or generate a standalone output.
The result of this step can be used in other steps as a part of a larger automation workflow.
→ *AI Agents*
With AI agents, you provide a model, memory, and a list of tools (or access to sub-agents or other workflows).
You give the agent a description of the task and describe how to use the tools.
But you don’t create a flow of operations.
You let the AI Agent autonomously decide how to combine the tools in order to achieve the task it was given.
Note:
One is not inherently “better” than the other.
It’s very common to give the agent access to another workflow (or a sub-agent) to perform subtasks.
