This document outlines the technical architecture for processing a livestream multi-host & multi-guest podcast transcript into various marketing outputs for both social media and technical marketing purposes.
- Format: Raw text transcript from livestream podcast
- Components: Speaker identifiers, timestamps, full dialogue content
- Additional metadata: Episode title, participant names/titles, recording date, episode number
┌─────────────────┐
│ │
│ Raw Transcript │
│ │
└────────┬────────┘
│
▼
┌───────────────────────────────────────┐
│ │
│ Content Extraction Engine │
│ │
└──┬────────┬─────────┬─────────┬──────┘
│ │ │ │
┌───────────────────┘ │ │ └──────────────────┐
│ │ │ │
▼ ▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌───────────────┐
│ │ │ │ │ │ │ │
│ Key Quotes │ │ Main Topics │ │ Technical │ │ Visual Asset │
│ │ │ │ │ Information │ │ Generation │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘ └───────┬───────┘
│ │ │ │
└─────────────────────────┼─────────────────┼─────────────────────┘
│ │
▼ ▼
┌────────────────────────────────┐
│ │
│ Content Output Generator │
│ │
└───┬───────┬─────┬─────┬───────┘
│ │ │ │
┌────────────────────┘ │ │ └───────────────────┐
│ │ │ │
▼ ▼ ▼ ▼
┌─────────────┐ ┌──────────────────┐ ┌───────────────┐
│ Executive/ │ │ │ │ │
│ Technical │ │ Social Media │ │ Visual │
│ Documents │ │ Content │ │ Assets │
└──────┬──────┘ └────────┬─────────┘ └───────┬───────┘
│ │ │
▼ ▼ ▼
┌─────────────────────┐ ┌───────────────────────┐ ┌────────────────────┐
│- Executive Overview │ │- LinkedIn Article │ │- Cover Image │
│- Abstract │ │- Quote Graphics │ │- Infographics │
│- Technical Blog Post│ │- Promotional Tweets │ │ │
│- FAQ Document │ │- Trivia/Fun Facts │ │ │
│- Show Notes │ │- Highlights │ │ │
└─────────────────────┘ └───────────────────────┘ └────────────────────┘
- Format: PDF (1-2 pages)
- Content:
- Executive summary (250-300 words)
- 3-5 key takeaways
- Business implications
- Strategic recommendations
- Technical requirements:
- Corporate branding template
- Exportable to PDF and DOCX
- Format: Text block (150-200 words)
- Content:
- Concise problem statement
- Methodologies discussed
- Primary conclusions
- Technical significance
- Technical requirements:
- Plain text format
- HTML version with meta tags for SEO
- Format: HTML/Markdown
- Content:
- 1,500-2,000 words
- Introduction with problem statement
- Technical analysis of topics discussed
- Code samples/technical diagrams if applicable
- Conclusion with implementation suggestions
- Technical requirements:
- Markdown for CMS import
- Properly formatted code blocks (if applicable)
- H1-H4 hierarchy
- Internal anchor links
- SEO metadata
- Format: Text (280 characters max)
- Content:
- Attention-grabbing hook
- Key value proposition
- Link to full content
- 1-2 relevant hashtags
- Technical requirements:
- Character count validation
- URL shortening
- Hashtag optimization
- Optional: multimedia attachment reference
- Format: JPG/PNG (1200×630px for social sharing)
- Content:
- Podcast title
- Episode number
- Visual representation of key topic
- Speaker photos (optional)
- Company branding
- Technical requirements:
- Layered PSD/AI source file
- Web-optimized version
- Multiple aspect ratios for different platforms
- Format: Bulleted list (5-7 items)
- Content:
- Surprising statistics mentioned
- Interesting anecdotes from guests
- Historical context points
- Technical "did you know" items
- Technical requirements:
- Plain text format
- JSON format for programmatic distribution
- Format: HTML
- Content:
- 800-1,000 words
- Professional tone
- Industry-specific insights
- Career/professional development angle
- Call to action for engagement
- Technical requirements:
- HTML with LinkedIn-compatible formatting
- Featured image (1200×644px)
- Optimized for LinkedIn's algorithm
- Format: PNG/JPG (1080×1080px for Instagram, 1200×628px for LinkedIn)
- Content:
- Direct quotes from podcast speakers (40-60 words max)
- Speaker attribution
- Visual background related to topic
- Company branding
- Technical requirements:
- Template-based design system
- Text overlay with readable contrast
- Speaker photo option
- Multiple aspect ratios for different platforms
- Format: HTML/Markdown
- Content:
- Episode summary (100-150 words)
- Timestamp-linked topic breakdown
- Guest bios
- Resources/links mentioned
- Call to action
- Technical requirements:
- Markdown for podcast platform import
- HTML version for website
- Schema.org podcast markup
- Timestamped links
- Format: MP4 video clips (60-90 seconds) and/or text excerpts
- Content:
- 3-5 key moments from podcast
- Self-contained insights
- High-impact statements
- Technical requirements:
- Video: 1080p MP4, captioned
- Text: Formatted quote blocks
- Speaker identification
- Branded intro/outro frames for videos
- Format: HTML/PDF
- Content:
- 8-12 Q&A pairs extracted/derived from podcast content
- Organized by topic
- Technical and non-technical versions
- Technical requirements:
- Expandable/collapsible format for web
- Print-friendly layout
- Schema.org FAQ markup for SEO
- Format: PNG/JPG/SVG/PDF (multiple formats)
- Content:
- Visual representation of key technical concept
- Data visualization from podcast statistics
- Process flow or methodology diagram
- Supporting text annotations
- Technical requirements:
- Vector source files (AI/SVG)
- Web-optimized version
- Print-quality version (300dpi)
- Accessible alt text descriptions
-
Transcript Preprocessing
- Clean raw transcript
- Normalize speaker identifications
- Segment by topic changes
- Index key technical terms
-
Content Extraction
- Apply NLP to identify key topics and themes
- Extract quotable segments
- Flag technical explanations and data points
- Identify narrative arcs and learning moments
-
Asset Generation
- Draft text-based assets
- Create visual asset templates
- Generate initial versions of all deliverables
- Apply brand guidelines and technical standards
-
Editorial Review
- Technical accuracy verification
- Messaging alignment check
- Brand compliance review
- SEO optimization
-
Publication & Distribution
- Schedule content release timeline
- Prepare platform-specific formatting
- Implement tracking parameters
- Set up cross-promotion between assets
-
Technical Stack Requirements:
- Transcript processing: Python with NLP libraries
- Asset generation: Adobe Creative Cloud, Canva, or similar
- Content management: WordPress, HubSpot, or equivalent
- Video processing: Adobe Premiere/After Effects
-
Integration Points:
- CMS API for direct publishing
- Social media scheduling tools
- Analytics tracking across all assets
- Content repository for asset management
-
Automation Opportunities:
- Transcript segmentation and cleaning
- Initial draft generation for text assets
- Template-based visual asset creation
- Cross-linking between related assets
Would you like me to expand on any specific part of this architecture or provide a more detailed breakdown of any particular output type?