And so what do you have AI generate? And then what do you have to figure out for yourself? And then how do you make sure that you've got the right answer?

So being in the product world for a while, I treated this like a MVP.

And so reading this book on trying to improve my, gain the skills of quantitative research, I outlined what skills do I want to learn first.

I want to learn how to select the appropriate statistical procedure.

And then I want to learn how to calculate the data.

And then I want to learn how to report the data to some stakeholders.

So those are my first three goals.

I'm curious, how has teaching if at all, I'll ask it as a good researcher, expose gaps in what it is that you understand? Or how has it changed the way that you use AI as a learning tool?