The team wants more caching, but personalization and freshness make cache correctness hard. How would you decide what to cache?

Instruction: Explain how you would balance cache value against correctness risk.

Context: Tests how the candidate diagnoses the problem, chooses the safest next step, and reasons through recovery. Explain how you would balance cache value against correctness risk.

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I would cache only the layers whose validity I can explain clearly. That might be retrieval candidates, prompt fragments, deterministic transformations, or stable non-personalized answers, while leaving the truly personalized or freshness-sensitive synthesis path uncached.

I like decomposing the workflow this way because it preserves some cost...

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