Automated Podcast Workflow: From Transcripts to Notion via AIAutomated Podcast Workflow: From Transcripts to Notion via AI
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Built a fully automated content processing pipeline for a podcast production workflow using Make.com, Groq AI, and Notion. The system watches a Dropbox folder for new transcript files, downloads them automatically, sanitizes the text, and sends to Groq's LLaMA 3.3 70B model for AI analysis, extracts structured content, and populates a Notion database with the episode name, title, date, and all three AI-generated fields: summary, discussion points, and notable guest quotes—all without any manual intervention. Tools used: Make.com Groq API (LLaMA 3.3 70B Versatile) Notion API Dropbox API
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