What problem does it solve?
Repurpose podcast episodes into a comprehensive marketing content production line, automatically extracting content atoms from transcripts and generating show notes, social posts, blogs, newsletters, pull quotes, and quotecard-ready visuals.
Core Features & Use Cases
- Content Atom Extraction: pull 7 atom types (Narrative Arcs, Quotable Moments, Controversial Takes, Data Points, Frameworks, Stories, Predictions) with verbatim_text, timestamps, speaker, and a one-line hook.
- Cross-Channel Outputs: produce show notes, blog posts, newsletters, social posts (Twitter/LinkedIn/Instagram), pull quotes, quote cards, and short-form video clips.
- Input Modes & Batch: ingest via RSS feeds, raw transcripts, YouTube links, or batch process multiple episodes; auto-collect episode metadata.
- Templates & References: access built-in content templates, design guidance, and scheduling logic to ensure consistent branding.
- Quality Controls: enforce timestamp presence for atoms, anti-repetition rules across platforms, and platform-ready formatting.
Quick Start
Provide a transcript or episode link and run the marketing pipeline to generate the first set of outputs.