The Agency Pain (The Why)
Podcast transcripts are gold, but they’re useless if no one can search them. Teams waste time scrubbing long episodes to find who said what, where, and why. Clients ask questions, and answers take hours instead of seconds.
The Solution
This workflow turns your podcast library into a searchable AI assistant. It ingests podcast transcripts, stores them as embeddings, and lets users chat with the content in plain English. Think “ChatGPT, but trained only on your podcasts.”
How It Works (The Logic)
Ingest: Podcast transcripts are collected and prepared for AI understanding.
Index: The content is chunked, embedded, and stored in a Supabase vector database.
Answer: A chat-based AI agent retrieves the most relevant podcast segments and responds with clear answers and episode references.
Prerequisites
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Supabase
OpenRouter (LLM access)
Google Gemini (Embeddings)
Podcast transcripts (YouTube, Docs, or text files)
The Impact
Instant answers from hours of podcast content
No more manual searching through transcripts
Creates a premium “Podcast Knowledge Bot” for clients
Implementation
You can download the Blueprint file using the button on this page to get started immediately.
Need Customisation?
This blueprint handles the basics. If you need a custom version tailored to your specific agency stack, book a consultation with us here