Okay, this is probably one of the more entertaining use cases I've seen from @quipnetwork so far. QuPick basically asks: What if your crypto portfolio could help decide which bag to spend when you want to buy something? The agent looks at your holdings, estimates which asset has the weakest return outlook, and uses that as the source for a Bitrefill purchase. You still approve the transaction. Afterward, the portfolio gets rebalanced. Peak crypto behavior, honestly. But jokes aside, I think there's something important happening here. Quip isn't just showing what its compute infrastructure can calculate anymore. It's experimenting with what happens when those calculations become part of actual user decisions. And that's a completely different challenge. A recommendation is useless if the agent can't act on it. An action means little if the payment doesn't settle. And the whole experience falls apart if the portfolio doesn't reflect the purchase afterward. All those steps need to work together. Meanwhile, xQuad and the Ethereum SDK are receiving updates too. Makes me curious how much of Quip's underlying infrastructure we'll start seeing inside more practical applications. I'm not saying QuPick is the future of portfolio management. Selling your weakest bag for a gift card is still a pretty funny concept. But using complex technology to simplify something people already understand? That's a direction I can get behind. Less showing off the compute. More showing what it can actually do.