And it probably complicates things for people like you when you have conversations with them.

So, John, this is incredible insight and this is a great conversation to have.

We like when people are engaging and trying to get more information.

as long as i have the right mindset that goes with this so your observation about getting bad data the the way we kind of approach ai as a firm is we clients are using it so we must be using it but there's different models for different things there's closed-end systems where pii is safe there's open-end systems where it is not what you use how you use it it all behaves in the same way there is an info dump in of which contacts may or may not be lacking.

And then there are decision points.

So we talk to our team regularly about we will thrive at the decision points.

So you search for a 754 election for your partnership in your language learning model of choice.

Yeah.

good at.

Saw again, took for granted somewhere in my accounting program.

It wasn't quite this direct, but I started skipping pieces of the chapter and went to the professor.

I'm like, why are we skipping the good stuff? And the essence of it was what we were studying was accounting.

What we weren't was typically done by lawyers with drafting.

So in the moment, I was like, yeah, that's dumb.

Why can't the same person do this like that? It's in the same book.

People have actually asked the question like, hey, do you chase the trophies or do you nominate yourself?