Users are abusing your AI product, not just your quota. How do you build trust-and-safety enforcement?
Rate limits stop a user who costs you too much. They do nothing about a user doing something you forbid. The enforcement system is a different design, and interviewers can tell within a minute whether you have built one.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Rate limits stop a user who costs you too much. They do nothing about a user doing something you forbid. The enforcement system is a different design, and interviewers can tell within a minute whether you have built one.
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.
