Yes, thank you, Bill, and spot on. So Kash, we have always thought about pricing of services in the context of what value our customers get, whether when we launched ITSM Pro, which was exactly five years ago, and we have kept the same price for ITSM Pro over the past five years. Now in terms of Pro Plus, based on very specific use cases, right? So I'll start with specific use cases, which we call domain specific. Those large language models we do not need to run super large language models because we are saying that, hey, for ITSM, this model will give additional productivity on top of Pro. And that productivity based on the use case could be significant. So from a pricing perspective, on the list price, we would like to be at least minimum, 60% plus when we start on top of Pro. So you're a Pro customer, you're already getting the value. We have seen it over the past five years, and we have seen the seat expansion happen as well. So on Pro Plus, you start with 60% plus. Customers are trying out this large language models. The models have accuracy, they are trying to learn themselves. Hey, do I take the prediction that comes out of large language model? Do I just accept it? But we fundamentally believe, which is what I shared at the Financial Analyst Day, that Generative AI is a tailwind for our business, but most importantly, the value that customers get. So I want to start with explaining the value, because you can say somebody is more productive for a particular task that they are repeating over and over again, but what percent of their day they spend on the task. And how do we look at the particular work week or a customer service agent or an IT agent. And then if we can say, okay, for your industry, for these use cases on ServiceNow, we believe we can deliver very high value, and hence, there is a premium we have Pro Plus. And we'll start with the 10%, 90% map. And as we see more and more value getting delivered, of course, we are going to ask for higher prices.