about. Uh cool one other thing. So like all ML systems some things still are applicable which is my favorite part. So agents will not generalize very well depending on the kind of like data sets that you've trained on. It's usually a good idea to have some sort of data set to test for like edge cases like broader capabilities. Uh also a very good practice to have a test set of sorts. If some of you have worked in like traditional ML systems, it was always good to have test validation sets of that sort. Same concept applies here. Uh if you have a test set, use it sparingly and also refresh it with prod data.