AI Podcast Insights Database

Shaan describes creating an AI-powered system to extract, categorize, and organize podcast content into a searchable database of ideas, stories, and frameworks.

Key Points:

• Content Processing Pipeline:

  • Use OpenAI's Whisper to transcribe podcast episodes
  • Feed transcript into ChatGPT with specific prompts
  • Extract and categorize every idea, story, and framework discussed

• Data Classification:

  • Tag whether ideas exist or are hypothetical
  • Identify source/speaker of each idea
  • Categorize by topic/industry
  • Create synopsis of each concept

• Database Structure:

  • Build searchable database of extracted content
  • Allow human review/editing of AI-generated tags
  • Enable processing of entire podcast back catalog

• Implementation Details:

  • Split content into 19 sections due to ChatGPT character limits
  • Use specific prompt engineering to ensure complete processing
  • Create structured output format for consistent categorization

• Use Case:

  • Make podcast content discoverable and searchable
  • Track origin of ideas and concepts
  • Enable analysis of trends and patterns across episodes

The system transforms unstructured podcast conversations into an organized, searchable knowledge base while preserving attribution and context.