Thanks, Tim. We now turn to our shareholders' questions submitted through the Say platform. There were a couple of questions from Paper Bag about our loss ratio and recent autonomous car insurance launch. . As we have explained on a few occasions before, perhaps in more detail during our most recent Investor Day, we don't think of loss ratio as a stand-alone target, but whether it's one metric or lever to optimize our quest for maximizing gross profit. sometimes maximum gross profit is achieved by lowering loss ratios, sometimes by raising them. Our pricing strategy is solving for maximum gross profit in absolute terms rather than any ratio. During our total [ car ] product with our telematics infrastructure, we're able to evaluate and price the risk associated with every driven mile accurately. In the case of Tesla [ FSC, ] the data we have shows that miles driven with it are more than 50% safer than when driven by a human. This allows us to drop rates and become more attractive to customers versus peers which is, in turn, lowering the customer acquisition costs and helps us win and retain more business. Responding to your question about our 30% growth, I would think about this autonomous car insurance launch as a first step of a much broader strategy and direction that will materialize over time. Indeed, it could take years before we see a step change in autonomous car ownership. And with that said, we believe it is critical to begin now with building the best product for that future with the best experience pricing, underwriting and coverage. In the near term, as we highlighted in our shareholders letter, our growth drivers are increasingly diversified such as we are not reliant on any one segment or product line to drive growth above 30%. That in car are both seeing IFP growth in 50s and Europe in the triple digits for example. In another question, we were asked how soon car will expand to remaining U.S. states. We launched new states as soon as we can from a regulatory perspective, but only after we are confident that we can competitively and profitably price risk in each state. Our improving car results, both top and bottom line, speak for that discipline. Launching the state requires thoughtful preparation for marketing, pricing, product, tech, legal and finance perspective with our local platform and the agenetic automations we're constantly layering into it, we're becoming very effective in this process, collapsing stages that used to take months and to days. I believe we now have the most enhanced regulatory and compliance process in the market, and we're only getting started. That said, states we've already launched represent roughly 50% of the U.S. car insurance market, a TAM measured in many tens of billions, and car is available to about 50% of our existing customers. We've been launching multiple car states since the beginning of 2025 and expect to continue to launch new states with our autonomous product throughout 2026. By 2027, I expect [indiscernible] car products to be available to the overwhelming majority of the U.S. population. In another question, with AI simplifying the insurance industry what will keep Lemonade in an advantaged position over incumbents who might be willing and ready to modernize their software stack? How does Lemonade continue to differentiate and stay ahead. This is a question we get a lot, and I think that and should come down to structural and cultural differences that are mainly impossible to overcome. Lemonade was built as an AI-first organization 10 years ago. Every team member was hired into that environment. People who didn't thrive in a tech-first fast-paced culture like ours moved on. Today, I estimate more than 95% of our team operates with an AI-first mindset. Our product and tech organizations are at the core of the company, which makes us product led, customer-centric tech organization. In many ways, the AI explosion is the moment Lemonade was built for. We built a data infrastructure from day 1. We collect every signal, and we have been doing so for a decade. We have a highly rated app that customers love and actively used which keeps them connected and allows us to continuously optimize pricing for the safest customers. Now compare that to traditional insurance. Digital company built on the foundation of people, not technology. They treat tech as a cost center, not their core. They rely on third-party vendors that are themselves built on legacy systems which leaves insurers with hundreds of these connected systems, they need to run their business. It's very hard for an organization like that to compete with a full stack tech-first company like Lemonade. In fact, in the history of all tech resolutions, you can probably count on the fingers of one hand, there are companies that dominated prior to the tech revolution and still were there in a dominant position when the [indiscernible]. It would be naive to expect the incumbents will be in this place forever. Of course, they are already talking about increasing investment in AI, ensuring a case study here and there. But by the time they make meaningful progress, we believe we'll always be several steps ahead. In the next question, [ Cybergate ] asked how does Lemonade think about AI reducing uncertainty while creating new risk categories? I have to say [indiscernible] that a shrinking TAM does not keep us up at night. Even if AI compresses pockets of TAM the resulting market opportunity remains essentially limitless relative to our client size. But with that said, I agree with the premise of your question. We are already seeing this in our existing suite of products with the expansion of autonomous driving. I think it's true that AI will continue to redefine the insurance industry with regards to the types of risks and products that are relevant over time, perhaps in ways that aren't immediately obvious today. With that, I'll pass it over to the moderator, and we'll take some questions from...