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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An AI tool you used to code open-ended qualitative responses grouped several distinct themes under one label, and that miscoding shaped a published finding. How do you handle it once you catch it?
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