What I learned parsing transcripts into Hindsight
Parsing real-world human conversation into structured machine state is miserable. When I first started building an AI meeting copilot, I assumed I could just dump raw meeting transcripts into a prompt, ask an LLM to spit out a JSON object containing "action items" and "sentiment," and write the results to a Postgres table. It failed completely. Human relationships don't fit cleanly into defined schemas, and trying to force evolving conversational nuance into strict database rows meant I was losi...
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