I'm a little bit confused about the development workflow with this. It seems like you've developed a system for the AI model to essentially emit steps that it can follow to interact and return information about the state of your app's UI, but are these steps created saved anywhere? How do you ensure consistency for the same prompt submitted twice? How does this fit in deployment pipelines?

Also, maybe I'm misunderstanding what this library is for, but is this really a good application of AI? I'm getting reminded of gherkin + cypress but without the test actually being embedded in the code. I feel like I'd rather use AI to write the BDD test using gherkin rather than prompt the AI to figure out what test behavior I actually want.

I realize I'm coming off a bit pessimistic here, but I'm just trying to explain where my thoughts are so you can hopefully clarify things a bit for me here because I feel like I'm missing something about what you're trying to accomplish with this project.