What's the actual difference between workflow automation and AI agents?
We've been automating processes for years - connecting systems, moving data, triggering actions based on rules. And that's been great for straightforward, predictable tasks. If this happens, then do that.
But agents bring something fundamentally different to the table: judgment.
Traditional automation is programmatic. It follows the exact path you've defined. An agent, on the other hand, can look at a situation and decide what makes sense. Does this opportunity actually look promising enough to create a project? Should I research this a bit more before taking action?
The agent has a goal - not just a task list. And that changes everything about how we can build systems that adapt and think, rather than just execute.
This doesn't mean we abandon automation. Those linear workflows are perfect for the tools we plug into our agents. But the agent itself needs that higher-level capability to decide what tool to use, when to use it, and how many times to loop through research before moving forward.
That's where the real power lives.