Comment by selinkocalar

The reliability piece is interesting - we've seen AI apps fail in ways that are hard to predict or reproduce. Traditional monitoring doesn't really work when your 'bugs' are stochastic. How are you handling failure modes that only show up statistically? Like when a model starts giving subtly wrong answers 2% of the time after a deployment.