AI-ready questions test whether you can reason about LLMs and AI systems as engineering material — limits, costs, evaluation, failure modes — not just hype.
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A predictive-maintenance model flags a critical stamping press as low risk for failure, but a technician notices a vibration signature that worries them anyway. How do you decide whose read wins, and what do you do next?
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