terrible. Let's zoom in. Little better. Um sorry. It's a fun tool. But basically, this expert graph would allow you to when a query comes across, we go, "Oh, you're Rachine. You work with these people. Great." It'll pivot on that data. It'll then zoom into the code bases that he's dealing with. So when you as an engineer ask maybe not the best prompt of all time, but you're like, "Hey, I got to get this done. There's a bug. Got to fix it." It'll know who you are. It'll pivot on that. It'll probably find the bug that's like correct. And again, it'll use this component to do a bunch of things and make decisions as it traverses in order to reason to give the agent the exact answer that it needs. So this this tool like generates this for you. You just point it at your code repo. It'll do a construction. Um but it it does things like creates experts across like various areas in the business. So in our libs or services. Quick quick scrolling, apologies. We got time. You can check a heat map grid of who works with each other, like who reviews what, who authors what. You can check peer tables, you know, who Andre works with, etc. So this data available in a context engine, very useful. And again, this will be open source.