Many experts know they should be posting more consistently on LinkedIn.
The problem is not ideas. It’s time.
Writing thoughtful posts from scratch takes energy. And when you’re already running a consulting or advisory business, content often slips down the priority list.
One practical solution is to start with content you are already consuming. A useful YouTube talk. A lecture. An interview with a respected thinker. With the help of AI, that long-form content can quickly become a structured LinkedIn post.
What we’re trying to solve
Experts often underestimate how much valuable thinking they consume every week.
You watch a talk. You listen to a podcast. You read an article that triggers a useful insight.
But the moment passes. The idea never becomes content.
The workflow in this video solves a simple problem:
- How to turn long-form content into structured thinking
- How to turn that thinking into a LinkedIn post
- How to do it quickly without sacrificing quality
The key idea is simple. AI is not writing the post for you. It is organising the material so your thinking becomes easier.
The simple workflow
The process itself is straightforward. There are five steps.
1. Find a useful YouTube video
Start with content that actually contains ideas.
This could be:
- A conference talk
- An expert interview
- A lecture
- A thoughtful discussion from a creator you respect
The goal is to start with material that already has substance.
2. Extract the transcript
Next, extract the transcript from the video.
Tools such as NoteGPT can quickly generate a transcript from a YouTube link.
This turns the video into structured text that AI tools can process.
3. Run the transcript through an AI prompt
Once you have the transcript, paste it into your AI tool with a structured prompt.
The prompt asks the AI to do two things:
- Create a clear summary of the video
- Draft a LinkedIn post based on the ideas
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This step transforms unstructured conversation into organised insight.
4. Review the output carefully
This is where many people make a mistake.
They copy the AI output and publish it immediately.
That approach creates generic content.
AI can misunderstand transcripts. It can miss nuance or context. And it often produces language that doesn’t match how you normally write.
The output should be treated as a structured draft.
Not the finished product.
5. Refine the post and publish
Finally, refine the draft.
Add your perspective. Clarify the idea that stood out to you. Adjust the tone so it sounds like your voice.
This step transforms AI output into original thinking.
Why this workflow works
The real benefit is speed.
Instead of staring at a blank page, you start with structure.
The AI organises the content. Your job is to shape the insight.
Used properly, this approach can reduce the friction of writing while still preserving quality.
And over time, it creates a simple habit:
- Consume thoughtful content
- Extract the key ideas
- Turn them into your own reflections
That process alone can generate a consistent stream of thoughtful LinkedIn posts.
Taking the workflow one step further
One useful extension is combining this process with a custom GPT.
If your GPT includes your tone-of-voice guidelines, the draft LinkedIn post will sound much closer to how you normally write.
This creates a simple but powerful system:
- Transcript extraction
- AI summarisation
- Voice-aligned drafting
- Human refinement
AI handles the structure.
You keep the judgement.
Key takeaways
- Start with content that contains real ideas
- Extract transcripts to make long-form content usable
- Use AI to structure thinking, not replace it
- Always review and refine AI output
- Over time this becomes a reliable content workflow
