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  "created_at": "2026-05-28T16:41:17.267Z",
  "updated_at": "2026-05-28T16:49:21.916Z",
  "title": "Ontologies Stop Agent Hallucinations",
  "description": "As agents make more decisions, semantic models become guardrails—and LLMs are making them easier to build at scale.",
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  "duration_sec": 36.14,
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    "video_url": "https://cdn.reelsbuilder.ai/695bf1d30ee20b7d0f76da2d/files/b33a9f3ade85d1b8b3c0bedf47038858.mp4",
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    "transcript_url": "https://reelsbuilder.ai/video/6a18702dee069b6f30c17ae4/transcript.txt",
    "transcript": "But I think there's two things that happened. One, the reason to build these ontologies or semantic models is much more important. \n\nBecause before we could rely on people and the judgment of people to do the right thing. Today we can't. Agents are going to make a decision. If they don't know, they guess, they hallucinate, and we have this hallucination text that's becoming real. \n\nAnd so this is why having an ontology is so important. The second important factor is, Building an ontology was incredibly difficult. \n\nWe always said you need a bunch of PhDs to do it. It's hard to scale. But now LLMs are actually great at building that ontology semi-automatically. \n\nAnd I think that's the real unlock. It's both more important and easier to actually",
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  "ai_context": {
    "summary": "As agents make more decisions, semantic models become guardrails—and LLMs are making them easier to build at scale.",
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      "YouTube Clip"
    ],
    "source_links": [
      {
        "label": "Why AI Agents Hallucinate and How to Fix It(2)",
        "url": "https://www.youtube.com/watch?v=XJD5xsh7SFk",
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  "creator": {
    "handle": null,
    "name": "Alec Furrier",
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