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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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AI-ready · Error Handling

During digitization, an AI tool mis-transcribes a weight value from a paper batch record into the electronic system, and it isn’t caught until a later reconciliation. Walk me through what you’d do once you find it and how it changes your reconciliation approach.

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Once I find it, I treat it as a data integrity event, not a typo — I stop and assess whether that value fed any downstream calculation, yield assessment, or release decision before

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