Hello? Hello? Okay. Now it working. Okay. You can keep going. Okay. Mhmm. Sounds good. So the first page, right, like, it started very easily. Very simple. Just like we offer some intelligence and is to revolutionize how you capture and organize life's moments with AI. And then you go on to the team page. The key takeaway from this page is that, our team, is well equipped to do this thing because of two reasons. 1st, our team is the found is the target user, which is, the tech conference attendees. We go to a lot of conferences. We know their pain points very well, and we're designing our functionalities around their pain points. And second, we have deep keys in multi model AI as well as consumer electronics. Let me next introduce our team member, very succinctly. My name is Kelly Bawala. And then you you spend one sentence. I one sentence or 2 at most on each member. You can talk about yourself more because you're a CEO. And then each and everyone else, you, try to keep a sense. 1 to 2 minute. I'm sorry, 1 to 2 sentences. And then the key takeaway from these two pages is that our team is, like, really good at AI and very good at consumer electronics. And yeah. And then going to the 4th page, you should be like, okay. So the first use case that we really want to laser focus on is the conference scenario. And this scenario is very promising based on a couple of reasons. First, it is a growing it is a thriving large market with very high networking demand in the US. This market is big. It's $3,000,000,000 and there are 255 major convention centers, 40 +1000000 Americans of 10 business conferences each year, and 76% of them go for networking purposes. Go to a lot of people go to conferences and a lot of them go there to network. And what are the biggest pain points for all these users at these events? Well, the biggest problem is that they struggle to recall key contacts and key takeaways. And when we break it down, there are 3 problems. 1st, second, third. Right? You just kind of say it. You don't have to expand on each. Just read it out. And to and and how are we gonna address these problems? Well, we have solution for you. Our solution is Yousu. It is your perfect ultimate AI companion for smarter networking. And we have a standalone device that costs $49 and a $9.9 subscription that works on your phone and your, Mac and p deck comes along with it. How do we address this problem? How does Youzu solve your problem? And I will show the demo video. Hey. Wait. Where's the demo? Oh, actually, I I wonder if You can switch the page. Yeah. Yeah. How do we and now this is how we're gonna show it, and then you show the the video. And after the video okay. So that is how Yuzu would be your perfect companion in all the conferences you go to. You don't ever have to worry about forgetting names for any key takeaways and stressing about, you know, following up. And our device is very neatly designed. It is very compact. It's similar to an Apple Watch. It is very light. It can be clipped onto a shirt or wears a necklace. And this is how it compares with all the other, AI wearable devices or or Apple Watch. And we have very differentiated technology behind us that powers all of them and you're blah blah blah. You go into the tech. And then to push it to the market, our current GTM strategy. And then you just basically read off these 3 pages as well. You know, we work for the for the, for our users to get into how this works. We're gonna distribute it and have a free trial at conferences. And then if users love it, they can buy it at the end and then pay for a subscription fee And to hook them into buying it, we're gonna send them a summary and then a follow-up as a hook. It's a really large opportunity, and we're gonna do it step by step. Step 1 is we're gonna focus on a conference attendee scenario first, and then we're gonna scale to all the verticals within the service industries. And eventually, we're gonna expand to a broader broader population through use case expansion, blah, blah, blah. And then we're really unique. By the way, this this slide I think can be, combined with 11, or maybe we'll just keep it 11 instead of 10. You guys we can discuss it later. And then and then this is our future roadmap in, you know, in in the last quarter this year. This is what plans to do Early next year oh, by the way, for this slide, one's 1 to 2 sentences for each, each part. Just like for q 4 this year, we're gonna, you know, fit it we're gonna, complete the launch of our app and our hardware beta. Early next year, we're gonna start experimenting users. And then 2025, 126, we're gonna expand to, you know, broader population. So and now we're raising, our pre seed. We're raising 3,000,000. Right now, 1.5 has been committed. So we're really excited about this opportunity and really passionate. And we really hope that, you could consider con investing in us. Okay. So I can't over it was a lot, but that was kind of the structure that maybe you could try. I don't know. Was that was that too much information? I you guys think. That sounds good. Yeah. Yeah. Yeah. My Yeah. Recording is still going on. I'm I'm going to try to race through this and, then practice more. Let me see if you have recording everything. Guys. I think actually, now that I think about it, I think maybe we don't have to have a page 10. What do you guys think? Maybe we just keep page 11. What is page 10? The technical diagram. We can also remove, depends on how tech do you think this person is and how, you know, he likes technical detail. I think I think If he doesn't bother too much about technical detail, we can page 10 because that's different That shows we have AI differentiation instead of just hardware. So what is that? What what do you think? Do you think you're 10? Right. He's not a very technical person. He, he's a finance I mean, he worked in Zillow, but he's not a technical guy. So I don't think you understand much. Yeah. So the thing it's not about I think this is technical. Yeah. I think because this is a more hardware comparison, because don't want to make him feel we're just building a GPT wrapper with a box. Like, because for example, yesterday's investor coming in, I was explaining to her, she's not so she's, like, literature major. And, so, like, I explained to her, like, we're building multi model AI, like, foundation model, agent workflow. Then her machine, she's like, oh, like, can't copy that. That's your differentiation. So I cannot feel like But I don't think this guy will have too much of, you know, in his Yeah. But I I think I should mention we actually do, like, a multi model back end is more important than just, like because everyone just assume, like the first question everyone ask me is what model are you using? They assume I'm either using Cloud or GPT or something. So everyone just assume you are a rapper. Okay. Sounds good. Just maybe talk about how we're not how Yeah. Yeah. Not a rapper company. Yeah. Okay. Okay. Sounds good. But, again, try to keep it short because, that with that's definitely not get into technical details unless he asks for it later. Okay. So yeah. But, yeah, so anything else that you guys think that we should add, for Kelly to to to to to know? I think that's most weird. Right?