A customer expects the AI to be flawless and magical. How do you manage unrealistic expectations?
Hype primes customers to expect a system that reads minds and never fails. Resetting that without losing the deal is an applied-AI skill interviewers probe head-on. Here is the move.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Hype primes customers to expect a system that reads minds and never fails. Resetting that without losing the deal is an applied-AI skill interviewers probe head-on. Here is the move.
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.
