Design a system that monitors the quality of millions of AI support conversations and flags the bad ones.
An AI support agent working through millions of chats will occasionally be wrong, rude, or unhelpful, and no one can read them all. Watching quality at that scale is a design problem in itself, with its own failure modes.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
An AI support agent working through millions of chats will occasionally be wrong, rude, or unhelpful, and no one can read them all. Watching quality at that scale is a design problem in itself, with its own failure modes.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
