You're right. We've seen the "garbage in, garbage out" problem firsthand.

We've seen the models hit typical statistical pitfalls like overfitting and data leakage during testing. We've improved by implementing strict validation protocols and guardrails around data handling. While we've fixed the agents getting stuck in recursive debugging loops, statistical validity remains an ongoing challenge. We're actively working on better detection of these issues, but ultimately, we rely on domain expertise from users for evaluating model performance.