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Hi. I'm Ollie from Count, and I wanna show you a completely new way you can see and explore your business using AI. So this is the Count Canvas. The canvas has been built to give AI the scale and space it needs to help me and my team dig into our data. So I wanna get a handle on a few things going on in my pretend ecommerce business. So I'm gonna add an agent into the canvas and ask it a question. Hey. What's going on in Chicago? So that's a pretty ambiguous question. So we're gonna give the agent a bit of time to really understand what's going on and bring back some answers. Because Count's a collaborative canvas, I can bring in Harriet from my team so we can still keep working through the problem. Hey, Harriet. How are you? Hey, Ollie. So I've got the agent working through the problem. You can see it's starting to bring up results already. While it's doing that, why don't we go ask a few other questions instead? What should we do? Yeah. Why don't we have a look at product segment split? That sounds great. I'm gonna follow you. Okay. Great. I think I would like to know Can you make a single dashboard containing three charts over time looking at profit, sales, and orders, and with each chart split by segment and grouped by month. Wow. Here we go. So one of the best things about using AI Encounter is that every object the AI builds is editable by users. This means you can click on any chart to see exactly what the AI has done and potentially make edits yourself. So Harriet, what do you think we should look at next? I think there's something pretty suspicious going on down here in Chicago at the corporate segment. Pretty big drop, wasn't it? Well, we can get the AI to look into this more, but why don't we just copy this chart up here and do some exploration ourselves? So I'm gonna move segment to the filters section just so we're looking at that corporate segment we were looking at. And then I'm gonna add ship mode here to the chart so we can see how it looks for different ships. And looks like standard class is the big corporate there. So we could keep digging into this more. Harry and I could work with the AI to do some more advanced analytics like Python SQL, just to really see what's going on. Oh, hey, Ollie. It looks like the original agent with your question has done some more. Okay. Let's go back and look. Oh, yeah. So you can see, we can click on the agent and see what it's been doing. You can see it's chain of thought. We can see it's been viewing results of its queries. When it's made a mistake, it's correcting it itself. And as it's going, it's laying out the story really clearly. So we can see that it's realized it's been that Chicago has been losing money, and that it's been breaking the problem down, looking at discount strategies, plot performance. Oh, it's made a change. It's also been looking at how these issues have been trending over time. So we're gonna leave the AI to continue to dig into this. But hopefully, you can see that HatCount is a wonderful collaborative AI driven way to explore your business with data.