Great complex question to spend the next 30 minutes diving into all that stuff. That's what I like talking about. So on the card, I think I mentioned this before, so it shouldn't come as a surprise, but we have a whole -- we think of these things in work streams. So we have a work stream called SUEX, surprise user experience. And the card is a new product, as I've mentioned just now, and there's plenty of surprises that we do not want our consumers to have with the carton. So we've been very, very busy just polishing the rough edges. And that's a long list. And if you use the card, you will see what we've done there. It's -- some of it is very apparent and some of it is a little bit more sophisticated, but just to give you like a glimpse into this, because the card sometimes runs over Visa rails sometimes runs over our own, there are situations where you have to match a transaction or somebody, for example, wants a partial refund, et cetera. And so just a logic around transaction matching going back sometimes 30 days, et cetera is fairly complicated. And the more intelligent you are in transaction matching, the better you can serve somebody, somebody who calls your caps with you and saying, hey, this transaction, I have to cancel it, showed up not as described. I have a chargeback, whatever. If you know exactly what it is, the call will go faster and the consumer will be happier. And so that sounds like a small thing, but it's a major cost reducer, for example. And there's like three dozen more where they came from. On the Al side of things, because I'm always terrified of sounding like too much of a nerd, because I am, we try to make sure our Al strategy is technology that is real versus PR, which is what we're encountering a lot in industry right now or at least pure PR. And so we've been, generally speaking, fairly quiet and dismissive about it. But we've been investing really heavily in this idea that most -- certainly, GenZ consumers really love chatting versus calling and they have no problem chatting with an Al, especially if the Al is intelligent. There's lots and lots of really complex things. One is, obviously, everybody sort of knows hallucination is a thing in Al, and you have to be very careful. But there's a bunch of really smart solutions that people in the industry have come up with, us including, where hallucination is not a problem, and we can very, very quickly satisfy a query certainly around a question of what do you do or what's your policy or what do I do as a consumer, if I have an issue or a problem, et cetera. And that's been working really, really well. And the -- it's very early, like we expect to do a lot more there. No one has yet to lose their job to be replaced by robot at a firm. So that's not a short-term cost saving. But in terms of our ability to scale our customer service and base as we employ Al more and more, that's certainly going to be a saving over the next one, two, three years. We expect for consumers to always be able to reach a human. I think that's really important. But by the time they get to a human, they want to hear someone who's an expert, who has a really deep understanding of what's happening with that particular account, that transaction, whatever dispute or questions they may have. And you can prework a lot of that with Al. And so that's where we're spending a lot of our cycles and super excited about that. Again, we try to not talk too much about it because it's just the cacophony of everybody being Al-powered is a little too loud right now. But it's a really exciting tech, and we're super thrilled to have deployed it.