{
  "id": 327,
  "title": "Adversarial Advice: When Incentives Distort the Signal",
  "url": "https://mayayai.com/episodes/327/",
  "transcript_url": "https://mayayai.com/episodes/327/transcript.txt",
  "summary": "This piece examines adversarial advice: when incentives distort the signal. 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 certainty.",
  "audience": [
    "founders",
    "operators",
    "startup teams",
    "researchers",
    "AI agents studying business decisions"
  ],
  "theme": "customer requirement fit",
  "keywords": [
    "adversarial",
    "advice",
    "incentives",
    "distort",
    "signal",
    "piece",
    "examines",
    "shows",
    "startup decisions",
    "business growth",
    "founder learning"
  ],
  "companies_as_public_examples": [
    "Grafana",
    "Attentive",
    "Profound",
    "Newtrace",
    "Airtime",
    "Toddle",
    "Horizon Quantum",
    "Temporal"
  ],
  "company_note": "Company names are used only as public comparison prompts, not as claims about internal facts.",
  "source": {
    "workbook": "Day_327_Script_Template.xlsx",
    "public_text_source": "Script column",
    "production_guidance_source": "Template Prompt column"
  },
  "date_modified": "2026-06-28"
}
