Since we’re talking systems here and reasoning from some provided constraints:
> We began by listening to 30+ hours of system design interviews and system design lessons. We then performed data analysis to identify 50+ of our highest rated interviewers.
At an average 30 mins an interview, that’s 60 interviews in the data set this is based on. That seems like a disproportionate sample to form general advice. That doesn’t mean it’s bad, but does likely bias heavily to a subset of system/interview styles.
You don’t need AI for that. While example based testing is familiar to most, other approaches exist that can achieve this with less complexity. See: property based testing.