system. So, here we're going to have uh the problem is how do I how do I get my agents to to go off and do stuff and bring the answers back in a reasonable way? The anti-pattern you have one agent and you load it up with tools, all right? So, I like to think about you you know, you hire somebody to come to your house, you hire a carpenter to come to the house, and the guy shows up with uh plumbing tools, carpenter tools, electrical tools. He says, "I can do anything." Well, maybe you don't want this guy, maybe you want a a professional carpenter. So, that's the kind of idea. And this kind of back takes us back to some of the the functional programming uh ideas that functions should be do one thing. And if you can get your agents to do one thing, you with maybe one or two tools available to it, then that's going to be a win, and that's going to help you with this exam. So, specialize, don't overload. The other part of this is don't let your agents context spill over into the main context because context means tokens, tokens mean money, and the more context you have, the more confused the LLM is going to be in giving you an answer. So, even though oh, a million token context window, I can put everything in there. No, no, don't put everything in there. Limit what's going to go in there because then you're going to get a much more accurate system.