and forth for some k amount of time. Um, and so on. Okay. So, lastly, uh, forewarning off to Robert, I do want to kind of just mention that we because of the modularity of the way we think about this, we can implement an infrastructure that's pretty configurable. Um, so this is how we present Hive. Hive is basically a way for us to easily, um, that uh, to easily construct uh, generations where now you have uh, a queue of agents that you define. Each one has, you know, its prompt, its parameters, its model, etc., inputs, outputs. But it also has when you can configure when enters the queue, when it exits, how many have frequency to come in. And then we have orchestration in the middle between agents. And with this orchestrators are really useful because they give you more flexibility and kind of presenting a hierarchy between LLMs that are generating is very uh, it's this is how you police them, basically. But also give them some some form of creativity and dynamically change instructions for the next agent or choose which agent goes next, which agent skipped, and so on. Um, and lastly, you have the supervisor, which basically someone who polices the orchestrator and has more of a global view. Um, cool. Okay, that's uh, that's it for me and