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Design a document summarization service at scale.

Two forces decide this design: documents longer than the context window, and summaries that must not lie. The strong answer pairs hierarchical map-reduce with claim-level grounding, then serves it cheaply at scale.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Two forces decide this design: documents longer than the context window, and summaries that must not lie. The strong answer pairs hierarchical map-reduce with claim-level grounding, then serves it cheaply at scale.

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Next in this trackDesign a customer churn prediction system.Next in this trackDesign a lead scoring system (rank sales leads by conversion likelihood).Next in this trackDesign a demand forecasting system (retail/inventory/capacity).

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