So how do you translate, like, the idea behind AI into something that people can actually use?

Yeah, I mean, I think smart search is a great starting point, right? And the thing that I always say, um, to, to folks is that, you know, we, we've, you know, search has become commoditized in many fronts where, you know, before it was Google and eve- nowadays a lot of people are using LLMs to just search what they're looking for, and they've done so very much.

And what's changed dramatically is that now people ask questions and they search for things not in a keyword search, but they look for things in a semantic search.

So like, "Give me all the issues that have occurred in the last 10 days at schools," you know, in some, in their system.

And they're like, "Okay, that..." It's smart enough to be able to pull out that information.

Now, in order to do that from the smart search point of view, you can use AI, uh, to be able to, you know, retrieve that information more intelligently these days.

So s- even though search has been, you know, uh, you know, f- people thought that this was a done deal and this was something that was, you know, we, we, you could actually, um, it was, it was already a solved problem.

It's not that you shouldn't try, just understand the difference between a pilot and a proof of concept and an enterprise piece of software that has to work for hundreds, thousands, tens of thousands of users.