People use “AI workflow” and “AI agent” somewhat interchangeably in a lot of content I’ve seen, but I suspect there’s an actual technical distinction being glossed over. What’s the real difference?
Asking because I’m trying to figure out which one I actually need for a project I’m planning, and the marketing language around both terms makes it hard to tell them apart.
The core distinction: a workflow follows a predetermined sequence of steps, even if an AI model handles one or more of those steps. An agent makes its own decisions about what step to take next based on the situation, rather than following a fixed predetermined path.
In practice this means a workflow is more predictable and easier to debug, since you know exactly what happens at each stage. An agent is more flexible but also less predictable, since its next action depends on its own reasoning rather than a rule you wrote.
For most business automation needs, a workflow is actually the better choice precisely because of that predictability, agents are genuinely useful for more open-ended, exploratory tasks where you can’t fully specify the steps in advance.
worth knowing some platforms blur this distinction deliberately in their marketing because agent sounds more impressive than workflow, even when what’s actually being built is closer to a workflow with one flexible decision point.
My practical advice: if you can describe your process as a clear sequence of steps before you build anything, you want a workflow. If you genuinely can’t predict the steps in advance because they depend on what happens at each stage, that’s when an agent earns its complexity.