How I Make Infinite Videos Ideas While I Sleep

If you want to keep your channel active, save hours each week, and never run out of video ideas, this is the exact system I use. You can copy it step by step.

The backbone of my automation is Make. You might hear me say Macomb in the video, but I am talking about Make. I am an affiliate and I have my link in the description. Make integrates tools you already use, ties them together with APIs, and sends the results wherever you want. I use it every day. Without it I would be wasting a lot of time.

Here is the big picture. I create one video. The video is transcribed. I drop that transcript into a specific Google Drive folder. Every day at 11:05 a.m., my Make scenario wakes up, scans that folder, grabs any new transcripts, and then runs a series of automations that produce blog posts, YouTube descriptions, timestamps, keywords, one page PDFs, and a list of new video ideas that get sent straight into my Trello board. It also organizes everything in Google Sheets and Google Docs so I can reuse and repurpose content in a few clicks.



Let us walk through the workflow in order.

1) Watch the Google Drive folder

  • The scenario runs daily at 11:05 a.m.

  • It watches a Google Drive folder where I drop the transcripts for my videos.

  • When it finds a new file, it downloads it and creates a new folder named after the file. I can rename it later.

2) Log the content in a Google Sheet

  • The scenario adds a new row to a master Google Sheet. This is my content repository. Everything about each video lives here, including links to the cleaned transcript, blog post, YouTube description, timestamps, keywords, and ideas.

3) Clean the transcript with ChatGPT

  • My raw transcripts come out of Adobe Premiere with timestamps and other junk I do not want.

  • Through Make, I send the transcript to ChatGPT with a simple prompt to clean it up.

  • The cleaned transcript is stored back into the Google Sheet, so I always have a readable version ready.

4) Turn the transcript into a full blog post

  • The cleaned transcript goes to ChatGPT again with a prompt to write a blog post based on what I said in the video.

  • The result becomes a Google Doc and is also saved to the master Google Sheet. In fact, this very post is generated from that process and published on Passive Paradise.

5) Create a one page PDF summary

  • I have ChatGPT condense the blog post into about 1,600 characters. That gives me a tight one page summary that works great as a lead magnet or freebie in my funnels.

  • Make saves this summary to the Google Sheet and creates a Google Doc. From there, turning it into a PDF is one click.

6) Generate a YouTube description with emojis and keywords

  • ChatGPT writes a YouTube friendly description that includes emojis and keyword rich copy.

  • The description is saved to the Google Sheet so I can copy and paste it directly into YouTube.

7) Create timestamps and keywords

  • I ask ChatGPT to generate video timestamps based on the content. Those go straight into the Google Sheet.

  • It also generates a list of keywords for the video, which are added to the same repository.

8) Generate new video ideas and push them to Trello

  • This is where the workflow becomes really powerful. I ask ChatGPT to brainstorm new video ideas based on the transcript and the topic of the video I just made.

  • Make collects the ideas and I have ChatGPT parse the list into individual items.

  • The first, second, third, fourth, and fifth ideas are pushed to my Trello board automatically as new cards. That gives me a ready made content pipeline.

This is how the content multiplies. If one video yields five new ideas, and I make videos from those five, that is 25 more potential ideas on the next pass, then 125, and so on. I do not always make a video for every idea, but as long as I average 2.5 new ideas per run, I end up with more ideas than I started with. That means I never run out of topics to film.

9) Final housekeeping and error safety

  • The last step of my scenario moves the original transcript into the new folder created at the beginning. I save this action for the end on purpose.

  • If anything goes wrong and the scenario stops without a clear error, I can tell because the transcript will still be sitting in the original folder. That is my cue to open Make, check the logs, and fix the issue. Make is great at error logs, but this visual cue saves me from guessing.

Why this system works so well

  • It turns one effort into many outputs. From a single video, I get a cleaned transcript, a blog post, a one page PDF, a YouTube description, timestamps, keywords, and a batch of new video ideas.

  • Everything is organized. The Google Sheet acts as a simple CMS for my content. I can search, filter, and reuse assets without digging through folders.

  • It removes friction. I am not rewriting descriptions or manually formatting summaries. I am not copying and pasting between tools. Make handles the plumbing and ChatGPT handles the drafting.

  • It compounds. The idea generation loop keeps feeding my pipeline. I spend more time recording and less time brainstorming.

  • It is affordable. Make is generous even on a free plan and ChatGPT credits are inexpensive for the time saved.

How to get started

  • Sign up for Make. There is a free plan and you get a lot without paying. I have my affiliate link in the description.

  • Set up a Google Drive folder for transcripts.

  • Create a Google Sheet that will serve as your repository. Include columns for the transcript link, cleaned transcript, blog post link, PDF summary, YouTube description, timestamps, keywords, and new ideas.

  • Connect ChatGPT inside Make. Use clear prompts for each step. Clean transcript, write blog post, condense to 1,600 characters, write YouTube description with emojis and keywords, generate timestamps, generate keywords, and brainstorm new video ideas.

  • Connect Trello if you want your ideas to become tasks automatically.

  • Schedule your Make scenario to run daily at a consistent time.

That is it. This is the same schematic I use and you can import it to jump start your setup.

HEY, I’M RYAN…

Ryan Brown was born in Baltimore, Maryland. He earned his Bachelor of Science in Computer Science from Capitol Technology University, specializing in Automation and Math. At 21, he bought his first home through day trading. He later built a million-dollar insurance and financial advisory agency. Today, he teaches and coaches others how to achieve financial freedom by building online income streams.

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