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  "created_at": "2026-06-03T13:00:06.678Z",
  "updated_at": "2026-06-03T13:29:41.128Z",
  "title": "Stop Letting LLMs Redefine Revenue",
  "description": "Let models explore—but keep business metrics grounded. Semantic layers stop “creative” answers from rewriting revenue or customer definitions.",
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    "transcript_url": "https://reelsbuilder.ai/video/6a2025563df85cfb35375ab1/transcript.txt",
    "transcript": "And the one thing that you look at is that without a semantic foundation, you know, LLMs, you want them to be creative. \n\nYou want them to be creative because they're your research assistant, right, and so you want them to explore the data, but you don't want them to be creative about the definition of revenue or customer. \n\nYou do not want them to be creative over your data. So there's a realization that you want to pair the probabilistic nature of an LLM so it can be creative with the deterministic nature of a semantic query engine. \n\nYou put those two together and it's beautiful. Yes,",
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  "ai_context": {
    "summary": "Let models explore—but keep business metrics grounded. Semantic layers stop “creative” answers from rewriting revenue or customer definitions.",
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      "YouTube Clip"
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    "source_links": [
      {
        "label": "Why AI Shouldn't Be 'Creative' With Your Revenue Data",
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    "handle": null,
    "name": "Alec Furrier",
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