Robby Stein: Sure. I mean, I can give you a little bit of under the hood how this stuff works because I do think that helps people understand what to do, but when our AI constructs a response, it's actually trying to, it does something called query fan-out where the model uses Google search as a tool to find to do other querying. Maybe you're asking about specific shoes, it'll add up and append all of these other queries like maybe dozens of queries and start searching basically in the background. And it'll make requests to our data back end, so if it needs real time information, it'll go do that. And so at the end of the day, actually something searching, it's not a person, but there's searches happening and then each search is paired with content. And so if for a given search your web page is designed to be extremely helpful and you can look up Google's human rater guidelines and read, it's a very long document that's been thoughtfully crafted for decades now around what makes great information.
I mean, I can give you a little bit of under the hood how this stuff works because I do think that helps people understand what to do, but when our AI constructs a response, it's actually trying to, it does something called query fan-out where the model uses Google search as a tool to find to do other querying.