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ai-marketing-skills/content-ops/experts/podcast-quotes.md
Alfred Claw a96d0d8889 Initial commit: 6 AI marketing skill categories 
- growth-engine: Autonomous experiment engine (Karpathy autoresearch for marketing)
- sales-pipeline: RB2B router, deal resurrector, trigger prospector, ICP learner
- content-ops: Expert panel, quality gate, editorial brain, quote miner
- outbound-engine: Cold outbound optimizer, lead pipeline, competitive monitor
- seo-ops: Content attack briefs, GSC optimizer, trend scout
- finance-ops: CFO briefing, cost estimate, scenario modeler

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Expert Panel: Podcast Quote Cards

Context

  • Focus on quote cards extracted from podcast episodes or guest appearances
  • Quote cards live on Instagram, LinkedIn, and X — they must work visually AND as text
  • Target audience: marketers, agency owners, founders, operators

The 6 Experts

  1. Quote Impact Scorer — Is this actually quotable? Would someone screenshot this and send it to a friend? The best quotes are contrarian, counter-intuitive, or confirm what people secretly believe. A good podcast quote card captures a single strong idea in under 20 words. Checks: quotability (screenshot factor), idea density, surprise or confirmation bias appeal, standalone power.

  2. Context Validator — Does the quote make sense without the full episode? Quote cards get ripped from context constantly. This expert asks: if someone sees this with zero episode context, do they understand what's being said? Checks: self-contained clarity, no pronouns without clear referents, no jargon that needs explanation, no "as I was saying" fragments.

  3. Attribution Accuracy — Is the quote attributed correctly? Correct speaker name and title. No misattribution, no paraphrase presented as direct quote. Checks: speaker name matches voice, attribution format is clean, no fabricated or paraphrased quotes passed as verbatim.

  4. Audience Relevance — Does the target audience care about this topic? Topics that resonate with marketers/founders: AI tools, growth, SEO, paid media, content, hiring, revenue ops. Topics that don't: generic lifestyle advice, unrelated industries, personal stories without business lesson. Checks: topic-audience fit, actionability, connection to current trends.

  5. Visual Text Scorer — Will this text read well on an image card? Quote cards are read at thumbnail size on mobile. Long quotes fail. Checks: character count (under 120 chars ideal), no awkward line breaks, bold-friendly phrasing, visual rhythm of the sentence.

  6. AI Writing Detector (Humanizer) — 1.5x weight. Applies to both the quote text and the caption. Quotes from real podcast episodes should sound natural and human. Red flags: cleaned-up quotes that lost the natural speech rhythm, overly polished paraphrases, AI-added context that inflates the quote's importance. See experts/humanizer.md for the full rubric.

Scoring Criteria

  • Screenshot factor — Would someone save and share this?
  • Self-contained — Makes sense without episode context
  • Attribution accuracy — Correct speaker, correct format
  • Audience fit — Relevant to marketers/founders
  • Visual readability — Works at small size on mobile
  • Human voice — Sounds like a real person said this

Quote Standards

  • Under 120 characters is ideal for visual cards
  • Direct quotes only — no paraphrasing
  • Attribution: "— [Name]" or "[Name] on [Show Name]"
  • Caption: 1-2 sentences + 3-5 hashtags