Episode Curation Skill

Purpose

Extract verified quotes from Lenny's Podcast episode transcripts to power the PM Philosophy Recommendations with real, grounded content.

When to Use This Skill

• •User asks to "curate an episode"
• •User wants to "extract quotes from transcript"
• •User requests to "enrich the PM Philosophy Recommendations"
• •User asks to "continue curating" or "scale episode coverage"

Context

• •Project: PM Philosophy Recommendations - interactive product philosophy discovery experience
• •Data Source: Episode transcripts in episodes/{slug}/transcript.md
• •Output: Verified JSON files in data/verified/{slug}.json
• •Validation: scripts/build-verified.ts ensures all content is valid

The 8 Philosophy Zones

1. •velocity: Ship fast, iterate constantly, speed compounds
2. •perfection: Details matter, craft excellence, leaders in the details
3. •discovery: User research, validation first, talk to customers
4. •data: Metrics-driven, experiment everything, numbers reveal truth
5. •intuition: Trust gut, vision over data, taste beats metrics
6. •alignment: Stakeholder buy-in, consensus, bring everyone along
7. •chaos: Embrace uncertainty, adapt constantly, plans are fiction
8. •focus: Do one thing perfectly, ruthless prioritization, constraints breed creativity

Quote Extraction Process

Step 1: Read the Transcript

// Read episodes/{slug}/transcript.md
// Parse YAML frontmatter for metadata (guest, title, etc.)
// Scan content for substantive speaker quotes

Step 2: Select 10-12 Best Quotes

Quality Criteria:

• •✅ 120-500 characters (substantive but standalone)
• •✅ From the guest speaker (not Lenny)
• •✅ Actionable insight, strong opinion, or memorable wisdom
• •✅ CRITICAL: NOT from first 5 minutes (00:00:00 to 00:05:00) - These are episode highlights/duplicates that appear later in full form
• •✅ If you see a great quote in the first 5 minutes, find the FULL version later in the transcript
• •✅ NOT from sponsor segments or intro/outro
• •✅ NOT generic platitudes - must be specific and distinctive

What Makes a Great Quote:

• •Strong opinions backed by experience
• •Contrarian or counterintuitive insights
• •Specific frameworks or mental models
• •Memorable one-liners that crystallize ideas
• •Trade-offs and tensions (not just "best practices")

AI-Related Insights (IMPORTANT FOR 2024-2026 EPISODES): Many recent episodes discuss AI extensively. When extracting AI-related quotes, capture:

• •AI adoption strategy: Fast vs cautious, leading edge vs proven, experimentation mindset
• •AI vs human judgment: When to trust AI, when to override, role of taste/intuition
• •AI in workflows: How teams actually use AI tools, productivity gains, integration challenges
• •AI product strategy: Building AI products, AI-first vs AI-enhanced, competitive moats
• •AI risks/trade-offs: What gets lost with AI, quality concerns, human skills atrophy
• •Contrarian AI takes: Skepticism of hype, areas where AI fails, human superiority

Zone Mapping for AI Insights:

• •velocity: AI enables faster shipping, rapid iteration, speed of adoption
• •perfection: AI quality concerns, craftsmanship with AI, when to slow down
• •discovery: AI in user research, AI-assisted validation, synthetic users
• •data: AI-driven insights, ML experimentation, AI analytics
• •intuition: AI vs human taste, trusting gut over AI recommendations
• •alignment: AI governance, stakeholder AI concerns, change management
• •chaos: AI-induced uncertainty, rapid AI landscape changes, adaptability
• •focus: AI for one thing vs AI everywhere, constraints in AI era

Step 3: Tag Each Quote

For each quote, identify:

• •Themes (2-4 tags): Be specific and descriptive
  • •AI themes: "ai-adoption", "ai-product-strategy", "ai-workflows", "ai-vs-human", "ai-risk", "ai-velocity", "ai-quality"
  • •Product themes: "product-market-fit", "user-research", "roadmap", "prioritization", "launch-strategy"
  • •Execution themes: "velocity", "quality", "team-structure", "decision-making", "metrics"
  • •Leadership themes: "founder-mode", "delegation", "communication", "culture", "hiring"
  • •Growth themes: "growth-loops", "retention", "acquisition", "monetization"
• •Zones (1-3 zones): Which philosophy zones does this quote exemplify?
• •Line numbers: Exact lineStart and lineEnd from transcript (camelCase)
• •Timestamp: Speaker timestamp (e.g., "00:15:30")
• •Contrarian?: Mark candidates that are spicy/opinionated or counter-narrative (for use in insightsData contrarianViews)

Step 4: Write Takeaways (REQUIRED)

Extract 5 key takeaways that:

• •Synthesize the guest's main insights
• •Are actionable and specific (not vague)
• •Represent different aspects of their philosophy
• •Could stand alone as tweet-worthy wisdom
• •Should be memorable and shareable

Step 5: Calculate Zone Influence (REQUIRED)

Distribute 1.0 total across all 8 zones based on:

• •Which zones the guest's quotes most align with
• •The guest's overall product philosophy
• •Balance - most guests touch 3-5 zones meaningfully
• •Example: {"discovery": 0.30, "focus": 0.20, "data": 0.15, ...}
• •Must sum to exactly 1.0

Step 6: Add Guest Metadata (REQUIRED)

Capture guest metadata for diversity scoring in recommendations:

guest_type (required - pick one):

• •founder - Started/co-founded a company (Brian Chesky, Dylan Field, Tobi Lutke)
• •operator - Executive/VP at companies they didn't found (Shreyas Doshi, Julie Zhuo, Boz)
• •investor - VC, angel, or fund partner (Ben Horowitz, Dalton Caldwell)
• •advisor - Consultant, author, or domain expert (Marty Cagan, April Dunford, Annie Duke)
• •academic - Professor, researcher (rare in Lenny's podcast)

company_stage (required - pick one):

• •pre-seed - Very early stage, pre-product
• •seed - Early product, finding PMF (Nikita Bier's companies)
• •series-a - Post-PMF, early growth
• •growth - Series B+ private company (Figma pre-acquisition, Superhuman)
• •public - Public company (Airbnb, Shopify, Meta, Slack)
• •mixed - Guest has experience across multiple stages (advisors, investors)

primary_topics (required - 3-5 tags):

• •Core themes this guest is known for
• •Should be specific and searchable
• •Examples: "product-market-fit", "growth-loops", "founder-mode", "ai", "design"

Step 7: Regenerate Registry (CRITICAL - DO NOT SKIP)

After saving the JSON file, you MUST run the build script to update the registry:

npx tsx scripts/build-verified.ts

This script:

• •Validates all JSON files in data/verified/
• •Regenerates data/verified/verified-content.json (master registry)
• •Regenerates lib/verifiedContent.ts (TypeScript constants)
• •Checks for duplicate quotes, missing zones, and invalid references

If you skip this step:

• •The new episode will NOT appear in episode pages
• •The quotes will NOT be available for recommendations
• •The episode will NOT count toward coverage statistics

The build script output should show:

✅ Registry built: data/verified/verified-content.json
   X episodes, Y quotes

Where X and Y increase by the number of episodes and quotes you just added.

What Gets Used Where

Philosophy Quiz Flow (Quiz → Contradictions → Results):

• •Uses zone_influence to determine guest's philosophy profile
• •Uses verified quotes (via quoteId) in contradictions debate
• •Uses takeaways to show guest wisdom

Individual Episode Pages:

• •Uses quotes for verified quotes section (shows with themes/zones)
• •Uses takeaways for key insights summary
• •Uses insightsData.ts (separate file) for:
  • •Contrarian views - spicy takes displayed with 🔥 icon
  • •Quotable moments - memorable one-liners
  • •Frameworks - named concepts/mental models
  • •Philosophy alignment - zone distribution

Note: insightsData.ts is auto-generated separately and NOT part of this curation skill. This skill focuses on verified quotes, takeaways, and zone_influence.

Output Format

{
  "slug": "guest-name",
  "quotes": [
    {
      "id": "guest-name-q001",
      "speaker": "Guest Name",
      "text": "Direct quote from speaker...",
      "timestamp": "00:15:30",
      "source": {
        "slug": "guest-name",
        "path": "episodes/guest-name/transcript.md",
        "lineStart": 123,
        "lineEnd": 125
      },
      "themes": ["theme1", "theme2", "theme3"],
      "zones": ["zone1", "zone2"]
    }
  ],
  "themes": ["theme1", "theme2", "theme3"],
  "takeaways": [
    "First key insight that synthesizes their philosophy",
    "Second actionable takeaway",
    "Third memorable wisdom",
    "Fourth contrarian point",
    "Fifth practical framework"
  ],
  "zone_influence": {
    "velocity": 0.15,
    "perfection": 0.20,
    "discovery": 0.10,
    "data": 0.15,
    "intuition": 0.15,
    "alignment": 0.10,
    "chaos": 0.05,
    "focus": 0.10
  },
  "contrarian_candidates": [
    {
      "quoteId": "guest-name-q001",
      "why": "Why this take is provocative/contrarian",
      "related_zones": ["zone1", "zone2"]
    }
  ],
  "guest_metadata": {
    "guest_type": "founder",
    "company_stage": "public",
    "primary_topics": ["topic1", "topic2", "topic3"]
  }
}

Validation Checklist

Before saving, verify:

• • Quote IDs follow pattern: {slug}-001, {slug}-002, etc.
• • All line numbers are accurate (check transcript)
• • CRITICAL: Timestamps match the ACTUAL location in transcript (not 00:00:00 to 00:05:00)
• • Timestamps match format "HH:MM:SS" or "MM:SS"
• • NO quotes from first 5 minutes (00:00:00 to 00:05:00) - These are episode highlights
• • If quote text appears in first 5 min, verify you extracted from the LATER full version
• • All zones referenced exist in the 8 zones list
• • 5 takeaways included (required)
• • Zone influence included and sums to exactly 1.0 (required)
• • No duplicate quote text across episodes
• • Each quote has 2-4 themes, 1-3 zones
• • Takeaways are specific and actionable
• • contrarian_candidates field included with spicy/provocative quotes (optional but recommended)

Common Mistakes to Avoid

❌ Don't:

• •Include Lenny's questions as quotes
• •Extract generic advice ("talk to users", "ship fast")
• •Use quotes from sponsor segments
• •CRITICAL: Include episode highlights from the first 5 minutes (00:00:00 to 00:05:00) - These are condensed versions that appear in full later
• •Extract from timestamps 00:00:00 to 00:05:00 - always search for the full version later in the episode
• •Tag every quote with "product-management" theme
• •Assign equal zone influence to all zones
• •Forget to verify line numbers AND timestamps match the actual transcript location

✅ Do:

• •Focus on the guest's unique perspective
• •Capture specific frameworks and mental models
• •Include contrarian or spicy takes
• •Show trade-offs and nuance
• •Tag themes specifically (e.g., "product-market-fit" not just "product")
• •Weight zone influence based on actual content
• •Verify timestamps and line numbers are accurate

Example Workflow

1. •Read transcript for marty-cagan
2. •Scan for strong quotes - found his "product manager is a creator, not facilitator" insight
3. •Verify line number - line 168 in transcript
4. •Tag appropriately - themes: ["product-management", "empowerment", "creator"], zones: ["focus", "perfection"]
5. •Extract 11 more quotes following same process
6. •Write 5 takeaways synthesizing his philosophy
7. •Calculate zone influence - discovery (0.30), focus (0.20), alignment (0.15)...
8. •Add guest_metadata - guest_type: "advisor", company_stage: "mixed", primary_topics: ["product-discovery", "empowerment"]
9. •Save to data/verified/marty-cagan.json
10. •Run build script - npx tsx scripts/build-verified.ts to update registry (CRITICAL!)

Example: AI-Heavy Episode

For a 2024-2026 episode with significant AI discussion:

1. •Read transcript and identify AI segments
2. •Extract AI-specific quotes:
   • •"AI lets us ship 10x faster but we still need human taste to know what's worth shipping" → themes: ["ai-velocity", "intuition", "velocity"], zones: ["velocity", "intuition"]
   • •"We moved from 30 customer interviews to 300 AI-simulated users, quality dropped 20% but speed increased 10x" → themes: ["ai-workflows", "user-research", "trade-offs"], zones: ["velocity", "discovery", "chaos"]
3. •Balance AI with non-AI quotes - don't make it 100% AI unless guest's primary focus
4. •Zone influence should reflect AI's role:
   • •Heavy AI adoption → higher velocity/chaos scores
   • •Cautious AI approach → higher perfection/discovery scores
   • •AI+data emphasis → higher data scores
5. •Takeaways should synthesize AI perspective among other insights

After Curation

Always run the build validator:

npx tsx scripts/build-verified.ts

This will:

• •Validate all quote IDs are unique
• •Check line numbers exist in transcripts
• •Verify zone references are valid
• •Detect duplicate quotes
• •Show coverage statistics
• •Generate registry files

Coverage Stats

Run npx tsx scripts/curation-stats.ts to see:

• •Current progress and episode coverage
• •Which zones need more coverage
• •Recommended episodes to curate next
• •Theme distribution

Tips for Speed

1. •Read efficiently - skim for the guest's strongest moments
2. •Look for frameworks - named concepts, mental models, processes
3. •Capture tensions - when guest discusses trade-offs
4. •Trust your judgment - if a quote resonates, it's likely good
5. •Batch similar work - extract all quotes first, then tag themes
6. •Use patterns - guests often repeat key ideas, find the best articulation

Quality Over Quantity

Better to have 8 exceptional quotes than 12 mediocre ones. Each quote should make someone think "I need to remember this" or "That's a contrarian take I haven't heard."