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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As a team lead, how are you retraining research associates who came up relying heavily on AI-assisted screening, so they can still build conviction the old-fashioned way when the model’s wrong or the data’s thin?
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