Turn One Video into 20+ Content Pieces: A Practical Guide to AI Content Automation

For most founders, creators, and marketers, the problem isn’t a lack of ideas; it’s a lack of time. You spend hours filming a high-quality video or hosting a webinar, only for it to live on a single platform and disappear into the digital abyss after 24 hours. The dream is to ‘be everywhere at once,’ but the reality is that manually chopping up videos, writing LinkedIn posts, and crafting Twitter threads takes more time than the original production itself.

This is where content repurposing automation comes in. In this guide, we are going to build a production-grade automation engine using Make.com, Airtable, and OpenAI. This isn’t a theoretical overview—this is a step-by-step blueprint to help you turn one YouTube video or podcast into a month’s worth of multi-platform content with zero manual writing.

The Tech Stack You’ll Need

Before we dive into the build, let’s look at the tools we’ll be using. This stack is chosen for its balance of power, cost-effectiveness, and scalability:

• Airtable: This acts as our Central Content Command Center. It’s where we store raw files, transcripts, and the final AI-generated outputs.
• Make.com (formerly Integromat): The ‘glue’ that connects our apps. It handles the logic and moves data between platforms.
• OpenAI (GPT-4o & Whisper): Whisper handles the high-accuracy transcription, while GPT-4o acts as our expert copywriter.
• Google Drive or Dropbox: To store the raw video/audio files for the automation to pick up.

Step 1: Setting Up the Airtable Command Center

Your automation is only as good as the database it lives in. In Airtable, create a new base called ‘Content Engine’ and set up a table named ‘Repurposing Queue’ with the following fields:

• Project Name (Single line text): The title of your video or podcast.
• Status (Select): Options should include: ‘Backlog’, ‘Processing’, ‘Ready for Review’, and ‘Published’.
• Raw File URL (URL): A link to your video file in Google Drive.
• Transcript (Long text): This is where Whisper will deposit the text.
• LinkedIn Post (Long text): The AI-generated post.
• Twitter Thread (Long text): A multi-tweet breakdown.
• SEO Blog Post (Long text): A 1,000-word summary of the content.
• Short-form Script (Long text): A script for a 60-second TikTok or Reel.

Once this is set up, create a ‘View’ called ‘Ready to Process’ that only shows records where the status is ‘Backlog’ and the Raw File URL is not empty.

Step 2: Building the Make.com Transcription Workflow

Now, let’s build the brain of the operation. Open Make.com and create a new scenario. Your first module will be Airtable – Watch Records. Point it to your ‘Ready to Process’ view. This ensures the automation only triggers when you’re ready.

Next, add the HTTP – Get a File module. Map the ‘Raw File URL’ from Airtable here. This downloads the video file so the AI can listen to it. Note: If your files are very large, you may want to use a tool like Cloudinary to strip the audio first, but for most 10-20 minute videos, this works fine.

The third module is OpenAI – Create a Transcription (Whisper). Map the file from the previous step. Whisper is incredibly accurate at picking up industry-specific jargon and different accents, making it far superior to standard YouTube auto-captions. Once this runs, we’ll update our Airtable record with the full transcript so we never have to pay to transcribe the same file twice.

Step 3: Engineering the Copywriting Prompts

This is where most people fail. They use a generic prompt like ‘Write a LinkedIn post from this transcript.’ The result is robotic, boring, and full of corporate buzzwords. To get high-quality output, we need to use ‘Role-Based Prompting’ and ‘Chain of Thought’ reasoning.

Add an OpenAI – Create a Completion module for each piece of content you want to generate. Here is a proven prompt template for a LinkedIn post:

“You are an expert LinkedIn ghostwriter for B2B SaaS founders. Your task is to take the provided transcript and extract one controversial or counter-intuitive insight. Write a LinkedIn post using the ‘Hook-Value-CTA’ framework. Use short, punchy sentences. Avoid emojis and corporate jargon like ‘synergy’ or ‘leverage.’ The tone should be authoritative yet conversational. Transcript: [Map Transcript Variable]”

Repeat this process for your Twitter thread (focusing on lists and formatting) and your SEO blog post (focusing on H2 headers and keyword density). By using separate modules for each platform, you can tailor the ‘personality’ of the AI to match the specific culture of that social network.

Step 4: The ‘Human-in-the-Loop’ Review System

Never automate your content 100% to the point of ‘auto-posting.’ AI can hallucinate, and brand voice is subtle. The final step in our Make.com scenario is an Airtable – Update a Record module. This module will map all the AI-generated text back into the fields we created in Step 1.

Crucially, you should set the ‘Status’ field to ‘Ready for Review.’ This acts as a signal to you or your editor that the content is ready. You can even set up a Slack or Discord notification in Make.com to ping you when a new batch of content is ready for your eyes.

Step 5: Practical Use-Case – The Weekly Webinar Repurposer

Let’s look at how a small marketing agency uses this. Every Wednesday, they host a 30-minute ‘Office Hours’ on Zoom. Previously, that video just sat on their hard drive. Now, the process looks like this:

1. The Zoom recording is automatically saved to a Google Drive folder.
2. Make.com sees the new file and triggers the ‘Content Engine.’
3. Whisper transcribes the 30-minute session (Cost: ~$0.18).
4. GPT-4o identifies 3 key case studies mentioned in the call.
5. It generates 3 LinkedIn posts (one for each case study), a ‘Top 5 Takeaways’ Twitter thread, and a technical blog post for their site.
6. On Thursday morning, the founder opens Airtable, spends 15 minutes polishing the AI’s drafts, and schedules them using a tool like Buffer or Hypefury.

What used to take 6 hours of manual labor now takes 15 minutes of curation. The total cost in API fees is usually less than $1.00 per video.

Advanced Optimization: Fine-Tuning the Engine

Once you have the basic system running, you can add ‘logic branches’ in Make.com. For example, use a Router to check the length of the transcript. If the video is under 2 minutes, only generate a LinkedIn post. If it’s over 10 minutes, generate the full suite of content including the SEO blog post.

You can also integrate ElevenLabs to turn your blog posts into high-quality audio ‘snippets’ for a private podcast feed, or use Cloudinary to automatically overlay text on the video based on the AI-generated ‘Hook’ for TikTok. The possibilities are endless once your data is structured in Airtable.

Why This Solves the Content Burnout Problem

The reason most creators quit is the ‘Content Treadmill.’ The pressure to produce daily content while also running a business is unsustainable. By building this system, you move from being a ‘Writer’ to being an ‘Editor-in-Chief.’ You provide the raw ideas and the unique perspectives through your videos, and the AI handles the tedious formatting and distribution tasks.

This system ensures that your best ideas are seen by your audience, regardless of whether they prefer reading long-form blogs, scrolling LinkedIn, or skimming Twitter threads. You are no longer shouting into a void; you are building a multi-channel media powerhouse with the overhead of a single freelancer.

Final Implementation Checklist

To get this running today, follow this checklist:

• Sign up for a Make.com ‘Core’ plan (to handle the file sizes).
• Get an OpenAI API Key and add at least $5 of credit.
• Create your Airtable base with the specific fields listed in Step 1.
• Run your first manual test with a 2-minute video to ensure the connections are working.
• Refine your prompts based on your personal writing style.

Automation isn’t about replacing your voice; it’s about magnifying it. By leveraging Make.com and OpenAI, you can finally stop worrying about ‘what to post’ and focus on the high-level strategy that actually grows your business.