Podcast Pipeline

The Podcast Pipeline workflow takes a full podcast transcript and repurposes it into a content bundle spanning multiple formats and platforms — Twitter threads, LinkedIn posts, blog outlines, short-form video scripts, quote cards, and newsletter sections.

How It Works

1. Extract Atoms — Identify the most valuable content atoms from the transcript: insights, stories, quotes, data points, and contrarian takes. Each atom is scored for viral potential.
2. Generate Content Bundle — Transform atoms into platform-specific content:
   • Twitter threads with hooks
   • LinkedIn posts
   • Blog outlines with keywords
   • Short-form video scripts (hook → body → CTA)
   • Quote cards with speaker attribution
   • Newsletter sections
3. Build Calendar — Create a day-by-day publishing calendar that distributes content across platforms for maximum reach

Input Schema

{
  transcript: string;         // Full podcast transcript text
  episodeTitle?: string;      // Episode title for context
  guests?: string[];          // Guest names for attribution
}

Output

{
  atoms: Array<{
    type: 'insight' | 'story' | 'quote' | 'data-point' | 'contrarian-take';
    text: string;
    viralScore: number;
  }>;
  content: {
    twitterThreads: Array<{ hook: string; thread: string[] }>;
    linkedinPosts: string[];
    blogOutlines: Array<{ title: string; keywords: string[]; outline: string[] }>;
    shortFormScripts: Array<{ hook: string; body: string; cta: string }>;
    quoteCards: Array<{ quote: string; speaker: string }>;
    newsletterSections: string[];
  };
  calendar: Array<{
    day: number;
    platform: string;
    content: string;
    type: string;
  }>;
}

MCP Tool

Invoke via process_podcast in your MCP client:

Process this podcast transcript: [paste transcript]

Key Agents

• SEO Writer — Blog outline generation with keyword targeting
• Social Manager — Platform-optimized social content and visual assets