We've been doing this at work a bunch with great success. The most impressive moment to me was when the model we were training did a type of overfitting, and rather than just claiming victory (as it all too often) this time Claude went and just added a bunch more robust, human-grade examples to our training data and hold out set, and kept iterating until the model effectively learned the actual crux of what we were trying to teach it.