I think what is lost in the discussion is that there's a large set of work that is not economically possible today.

I think what is lost in the discussion is that there's a large set of work that is not economically possible today. And that work just doesn't get done. Even though it might be useful, it's just we can't we can't deploy it cost effectively. And now with AI, you can come in and say, oh, there's a new curve of stuff that actually can be economically useful now because it's just a lot cheaper to go out and do that. So there's a whole bunch of unlocks inside these organizations where we're doing tasks. We're solving more things for our customers that it just wasn't possible before. Totally. And that gets lost in the discussion. I think I had this exact thing happen to me a couple, last week, we were working with a customer who had gone through, and they had, like, these millions of these, like, client files that, they, they really wanted to keep track of for all sorts of reasons, including compliance reasons to look things up. And so, they but they're all different types, you know, this is like a financial institution that had a data and all these like, you know, the high end clients. So we did a, a job or went through and had an AI inbox like to be like, oh, this is this type of file and this is the key information, this is the client number and sort of what is talked about. And so when it was done, they were like, this is amazing. This will help this, this, this, this, this is all, you know, improve the audits. Like, improve our ability to do audit things. And, and we were like, okay, like, hey, let's collect some interesting stats. Like how much, did it save you over how you can do in the past? And their answer was, I never would have done this in the past. Like, like this is like, yeah, I would have had to hire an army of people, to go, like, you know, paralegals to like and they, they would they would all quit immediately because they hate this job to go through these millions of documents to, to like to do this. And we just never would have done that. And so, like, suddenly you have this unlock of this ability to, like, better understand some of your most critical data, but in a way that you I mean, if you want to put numbers on it, they could have they could have like, well, I would have, it would have cost us this much. But they again, I just like the idea of what's possible now is, is different. In ways that I think enterprises are still trying to understand.