The AI Podcast Notes Generator Workflow Solopreneurs Are Sleeping On

Recording a podcast (or a voice memo) is the easy part.

The hard part is the "Post-Production Tax":

* Listening to it again.

* Writing show notes.

* Finding the timestamps.

* Writing a blog post.

* Writing a newsletter.

* Creating tweets.

For a 30-minute episode, this can take 3 hours.

What if you could drop an MP3 file into a Google Drive folder, walk away, and come back 5 minutes later to find a Google Doc with all of the above written perfectly?

In this guide, we will build the AI Content Repurposing Engine.

Time to build: 45 minutes Tools required: Make.com, Google Drive, OpenAI (Whisper + GPT-4)

Why Automate Show Notes?

SEO Gold: Audio is invisible to Google. Text is not. Transcribing your content makes it searchable.

Accessibility: Not everyone can listen. Reading is faster.

Consistency: You will never skip writing show notes again because "you're too tired."

The Workflow Blueprint

Trigger: You upload an audio file to a specific Google Drive folder.

Transcribe: Make.com sends the file to OpenAI Whisper to get the text.

Analyze: GPT-4 reads the transcript and generates the assets.

Save: The results are saved to a new Google Doc.

Step-by-Step Setup Guide

Phase 1: The Trigger

Create a folder in Google Drive named Podcast Inputs.

In Make.com, add Google Drive -> "Watch Files in Folder".

Select the folder you just created.

Phase 2: The Transcription

Add OpenAI -> "Create a Transcription (Whisper)".

Map the file from Google Drive to this module.

Note: This outputs a raw text string of everything said in the audio.

Phase 3: The Content Generation

We will use GPT-4 to turn that raw text into gold.

Add OpenAI -> "Create a Completion".

Model: gpt-4.

System Prompt:

> You are an expert content marketer. I will give you a transcript. You will output a Markdown document containing:

> 1. A catchy Title.

> 2. A 2-paragraph Summary.

> 3. 5 Key Takeaways (bullet points).

> 4. A "Tweet Thread" (5 tweets).

> 5. A Newsletter draft.

User Prompt:

> Transcript: {{Text from Whisper}}

Phase 4: The Save

Add Google Docs -> "Create a Document".

Title: Show Notes - {{Original Filename}}.

Content: Map the output from GPT-4.

Advanced Enhancements

1. Speaker Identification

Whisper doesn't identify speakers (Speaker A vs Speaker B) natively in the basic API.

Workaround:* Use a dedicated transcription service like Otter.ai or AssemblyAI (via Make) if you have a multi-guest podcast.

2. Direct to WordPress

Instead of a Google Doc, add a WordPress module to create a "Draft Post" directly on your site with the content populated.

3. Social Scheduling

Add a Buffer module to automatically schedule the generated tweets. (I recommend setting them to "Draft" so you can review them first).

Real-World Example: The "Voice Memo" Blogger

I don't have a podcast. But I do have "Rants" while driving.

* I record a 5-minute voice memo on my phone.

* I upload it to the Drive folder.

* By the time I get home, I have a structured blog post draft waiting for me.

* I edit it for 10 minutes and hit publish.

* Result: I publish 3x more content with 50% less effort.

Conclusion

Your voice is your fastest content creation tool. You can speak 150 words per minute, but you probably type 40.

This workflow bridges the gap, allowing you to "write" at the speed of speech.

Ready to build this?

* Get your free Make.com account here

* OpenAI API Keys

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