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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You’re evaluating an AI-driven scheduling tool that promises to re-optimize the production plan against machine capacity, changeovers, and due dates faster than your planners can. What would make you trust it enough to let it publish a schedule directly to the shop floor versus just recommending one?
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