{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "name": "How do I stop AI workflow automation from making things up?",
  "description": "Give the workflow approved source material, require source notes for factual claims, flag uncertainty, and review outputs before publication or action. Test dif",
  "url": "https://runmyaibusiness.com/faq/how-do-i-stop-ai-workflow-automation-from-making-things-up",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "How do I stop AI workflow automation from making things up?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Treat AI output as a draft or decision aid unless you have tested it against reliable source material and defined acceptance standards. Review factual claims, links, calculations, tone, customer promises, and anything that could affect trust or spending.\n\n## Context\nRun My AI Business specifically emphasizes source verification and prohibiting invented statistics, proof, or income claims. Its content-production and launch examples are designed to support owner review before publication.\n\n## Key factors\n- Accuracy of the underlying sources\n- Whether the task requires current information\n- Potential harm from a plausible-sounding error\n- The reviewer’s subject knowledge\n\n## Practical guidance\nBuild a quality checklist into the workflow. Require citations or source notes where appropriate, flag uncertain statements, and test the assistant with examples designed to expose hallucinations rather than only easy cases.\n\nThe educational approach helps users understand where AI assistance ends and responsible review begins.",
        "description": "Give the workflow approved source material, require source notes for factual claims, flag uncertainty, and review outputs before publication or action. Test difficult cases, including missing or conflicting information, and prohibit invented statistics, testimonials, proof, and income claims."
      }
    }
  ],
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [
      "h1",
      ".faq-question",
      ".faq-answer",
      "[itemprop=\"acceptedAnswer\"]"
    ]
  }
}