NOTE
It's not just a script; it's a loop.
An Agentic Workflow is a process where an AI system is given a goal, rather than a specific set of instructions. Unlike traditional automation (which follows a linear "If This Then That" logic), an agentic system has the ability to:
- Reason: Break down a complex task into smaller steps.
- Act: Use tools (like a web browser, a code interpreter, or an image generator).
- Observe: Critique its own output.
- Iterate: Attempt a different approach if the first one fails.
The Loop: Thought -> Action -> Observation
The core differentiator is the feedback loop. In a standard workflow, if a script fails to generate an image, it crashes. In an Agentic Workflow, the agent sees the error (e.g., "Connection Timeout" or "Image is blurry"), analyzes it, and decides to retry with different parameters.
Example: The Design Agent
A Design Agent tasked with "Create a banner for our summer sale" will:
- Think: "I need a beach background and our logo."
- Act: Call the image generator API.
- Observe: "The logo is covering the sun."
- Iterate: "Move the logo to the bottom left."
This autonomy allows for massive scale in creative operations, moving from "Human-in-the-Loop" to "Human-on-the-Loop" oversight.
Learn how to build one yourself in our guide: Building an Autonomous Design Agent.