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 reviewing a junior analyst’s AI-assisted valuation model and the DCF output looks reasonable, but something about the growth assumptions feels off. As the senior reviewer, how do you decide whether to dig in or let it pass?
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