you know, sort of fake environment um just to kind of showcase some things. Um so, here um anytime somebody posts a sort of GitHub tag, um our agent's going to sort of see that and say, "Oh, I I should That's a release. Is that a release? Yes, that is a release. Um let me go watch that." Um but, it's not just going to watch it. Um it's going to do something that's slightly more intelligent. Uh cuz like I said before, everybody kind of has a CI/CD system. It will do the sort of standard checks on on, you know, certain KPIs. Um but, what the agent is able to do is actually look at the changes that are going in, understand what telemetry might help us evaluate whether those changes are, you know, good or not good or like are putting the system in an abnormal state, um and build a sort of customized plan that it's going to check uh just for this specific release. And this is why I kind of go back to like, you know, our goal is not to sit here and say, "We're going to replace an entire CI/CD pipeline. You've spent time organizing that." But, this can sort of patch a lot of, you know, uh parts of your system that may not be as robust as they should be. And it would be great if you had a single engineer just focused on like watching all the things on every release, but that's really expensive. There's a lot of cognitive load. You'd rather have them doing other things. Um so, now the agent can come and actually do a lot of that sort of dynamic understanding of this is the change, um so, I'm going to sort of check for these things. And so, here, um the checkout replaces currency service, um you know, we're monitoring the checkout latency and the error rates. Well, let's take a look at the Kafka pipeline cuz that's sort of involved. This is the sort of causal chain I want to sort of say, I want to make sure is is healthy. And it'll check that, and it can check it not just once, um but sort of on an ongoing basis. And you know, none of this is hard-coded in. It's not like, oh, let's just wait for 15 minutes and then try this again, and then we'll be done. Again, the agent has a bit more autonomy, and and you get to guide it a bit on how you how much autonomy you want it to have, but it could decide, I want to wait for another hour cuz this type of issue might only hit every you know, every so often, so I really want to spend a little bit more time focused on this. Maybe I'll come back in 3 days and say, is this deploy still kind of healthy? Are we seeing the the change in the effect that I expected to see out of