Podcast Digest Automation

This workflow is designed for podcast creators, content marketers, educators, and researchers who want to efficiently summarize podcast episodes, extract key topics and questions, and generate engaging email digests for their audience. It is particularly useful for those who have a significant volume of content to process and need to communicate insights effectively.

This workflow addresses the challenge of digesting lengthy podcast transcripts into concise summaries while identifying relevant topics and questions for further exploration. It automates the process of summarization and topic extraction, ensuring that users can save time and focus on content creation and audience engagement.

1. Manual Trigger: The workflow begins when the user clicks 'Execute Workflow'.
2. Podcast Episode Transcript: A predefined transcript is returned as a JSON object.
3. Workflow Input to JSON Document: The transcript is parsed into a structured JSON format.
4. Recursive Character Text Splitter: The transcript is split into manageable chunks for processing.
5. Summarize Transcript: Each chunk is summarized using a language model, generating a refined summary of the episode.
6. Extract Topics & Questions: Relevant topics and questions are generated based on the summary.
7. Research & Explain Topics: Each topic is researched and explained using Wikipedia as a reference.
8. Format topic text & title: The topics and questions are formatted into HTML for email presentation.
9. Send Digest: An email digest is sent to the specified recipient, containing the episode summary, topics discussed, and questions to ponder.