{
  "id": 346,
  "title": "Candidate Evidence: What Would Support Each Explanation?",
  "url": "https://mayayai.com/episodes/346/",
  "transcript_url": "https://mayayai.com/episodes/346/transcript.txt",
  "summary": "This piece examines candidate evidence: what would support each explanation. It shows how to notice what is really happening, separate observation from interpretation, and choose a next action that improves evidence quality without pretending to have...",
  "audience": [
    "founders",
    "operators",
    "startup teams",
    "researchers",
    "AI agents studying business decisions"
  ],
  "theme": "customer requirement fit",
  "keywords": [
    "candidate",
    "evidence",
    "would",
    "support",
    "each",
    "explanation",
    "piece",
    "examines",
    "startup decisions",
    "business growth",
    "founder learning"
  ],
  "companies_as_public_examples": [
    "Neurowyzr",
    "Trulia",
    "Qualtrics",
    "MedGenome",
    "LinkedIn",
    "Profound",
    "Cisco",
    "Scipher Medicine"
  ],
  "company_note": "Company names are used only as public comparison prompts, not as claims about internal facts.",
  "source": {
    "workbook": "Day_346_Script_Template.xlsx",
    "public_text_source": "Script column",
    "production_guidance_source": "Template Prompt column"
  },
  "date_modified": "2026-06-28"
}