Yeah, really, the way that we cascade information in government is unique, and a little bit different. Congress passes a law, or the President signs an executive order, and thinking that, just from those materials, teams can be effective and impactful, delivering the intent of it, is preposterous. These are written at 100,000 foot view, and we have to translate them for every single agency use case to the best of our ability. So, we've been trying to focus on something we call human -centered policy design, where we're actually getting the policies out to the audience. Making sure that we're working in AI use cases in, specifically civil society, academics, labor unions, an entire cross section, federal employees, federal agencies, and really trying to make sure that we're hearing from them about the obstacles on the ground that are challenging them, whether it's funding, whether it's the color of money, whether it's staffing, whether it's lack of interest from their program partners in not wanting to take a risk, like thinking something's too risky to attempt. So, we're really trying to look at this kind of from all of those different dimensions. But, just foundationally, it's about talent, having the right people in the right rooms, and at the table, to be able to translate.