Congrats on the launch. One thing I kept coming back to while reading: your own pitch is that LLMs are bad at testing because they reinforce their own assumptions. But Mo is built on millions of test traces from your own product. How do you keep the harness from developing its own blind spots the same way, just at the harness level instead of the model level? Is the DAG exploration enough to push agents toward flows your training data underrepresents, or do you do something more deliberate?