Hi everyone, I’ve been dealing with the manual tracking and updates of local packages for a while now. Recently, I discovered the power of AI Copilot Workflow Generation, which can take a plain-language description of a local package fulfillment workflow and turn it into an automated process using hundreds of AI models. However, I’m not sure how to apply this in practice. Has anyone else used this feature to streamline their workflows? How did you describe your process to the AI to get the desired output?
When I first started using AI Copilot, I had to experiment with different descriptions until I got the workflow right. It’s useful to start with a simple, step-by-step outline of your process and gradually add more details if needed. The more specific you are, the better the generated workflow will be.
I’ve had success with AI Copilot by ensuring that my workflow description includes all possible scenarios and edge cases. For example, specifying what happens if a package is missing or if there’s an error during dispatching. This helps the AI generate a robust workflow that covers unexpected situations.