iterate on your agents and your harnesses. Um and verifiable rewards are the easy case where we just kind of can check exactly was something done correctly or not. And so for math, often if you have a numerical answer, you can just parse this out of like a box in the answer from the model and check. For code, maybe you want to use test cases or a linter or something like this. For tool use, often you have some database state, which you kind of know what you what you're expecting at the end and you can just kind of like check this deterministically. And so these are kind of the easy cases where the the uh reward design problem is not so difficult. Um but most real-world tasks