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Design an AI meeting summarizer that handles thousands of meetings a day.

Two models chained (ASR then summarization), a long-context problem hiding inside, and a faithfulness bar where a fabricated action item has real consequences. The signal is the pipeline plus how you keep a 3-hour transcript honest at thousands a day.

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

Two models chained (ASR then summarization), a long-context problem hiding inside, and a faithfulness bar where a fabricated action item has real consequences. The signal is the pipeline plus how you keep a 3-hour transcript honest at thousands a day.

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Next in this trackDesign an on-device AI assistant (runs locally on a phone or laptop).Next in this trackDesign a fraud-detection system that uses LLMs (beyond a classic ML classifier).Next in this trackDesign a two-tower retrieval system for recommendation/candidate generation.
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