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 summary of your regression output describes a predictor as 'driving' the outcome, when your model only supports a correlational claim. How do you catch language like that before it reaches a client deck?
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