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Using AI for Content Creation Without Losing Authenticity
I asked ChatGPT to write my newsletter last week.
The response was perfect. Grammatically flawless. SEO optimized. Hit every content marketing best practice in the book.
It was also completely soulless.
No personality. No edge. No stories that made you lean in. Just corporate-speak wrapped in motivational language that could have been written by anyone, for anyone, about anything.
I deleted it immediately.
But here's the thing: I still use AI for content creation. Every single day.
The difference? I treat AI like a research assistant, not a replacement for my brain.
Most creators are making a fundamental mistake. They're asking AI to think FOR them instead of WITH them.
That's how you end up with content that sounds like it was written by a committee of chatbots. Which brings me to the bigger problem nobody's talking about.
The problem with writing for the algorithm is that the algorithm isn't your customer.
Walk into any coffee shop. Open LinkedIn. Scroll through Twitter. Everyone sounds exactly the same.
"Here are 5 tips for..." "The secret to success is..." "What I learned from failing..."
It's all AI slop. Regurgitated wisdom. Content optimized for algorithms instead of humans.
The internet is drowning in perfectly polished, completely forgettable content. But there's an opportunity hiding in this mess.
While everyone else is racing to automate their humanity away, you can use AI to amplify what makes you different.
The key is understanding what AI can and can't do. And I learned this lesson the hard way during a random Tuesday afternoon.
I was sitting in a coffee shop, struggling to write about productivity. Staring at a blank page for an hour. Then I overheard two founders arguing about remote work. One loved it. One hated it. Both had compelling points.
I opened ChatGPT and typed: "I just heard an argument about remote work. One person thinks it's the future of productivity. The other thinks it kills creativity. What are the strongest arguments on both sides?"
ChatGPT gave me a comprehensive breakdown. But here's what I did next that changed everything.
I used that research to write MY take. My experience. My opinion. My stories.
The AI helped me think through the topic. But the content was still authentically mine.
That post got 10x more engagement than anything I'd written that month.
Why? Because it combined the thoroughness of AI research with the authenticity of human experience.
AI should make you a better thinker, not replace your thinking.
This revelation forced me to completely rethink how I approach content creation. Let me show you my real workflow. Not the polished version I'd put in a course. The messy, practical version I actually use.
Step 1: Brain Dump I write down everything I'm thinking about a topic. Stream of consciousness. No editing. Just raw thoughts.
Step 2: AI Research I ask AI to help me explore angles I might have missed. "What are some counterarguments to this point?" "What examples exist of this concept in different industries?"
Step 3: Human Filter I take the AI research and filter it through my experience. What resonates? What feels true? What have I seen in real life?
Step 4: Story Integration I find stories from my life that illustrate the concepts. AI can't do this. Only I know my stories.
Step 5: Voice Check I read everything out loud. If it doesn't sound like me talking to a friend, I rewrite it.
The AI helps me think more comprehensively. But the voice, the stories, the opinions—those are mine.
This brings me to what I call the Starbucks Test. Here's how you know if your AI-assisted content is still authentic: If you wouldn't say it to a friend over coffee, don't publish it.
AI-generated content fails this test spectacularly. It's all generic advice and corporate buzzwords.
"Leverage synergies to optimize your value proposition."
Nobody talks like that. Nobody thinks like that. Nobody wants to read that.
Your authentic voice is how you actually speak. Your real opinions. Your specific experiences. Your unique perspective.
AI can help you organize these thoughts. But it can't have them for you.
If your content could have been written by anyone, it will be ignored by everyone.
Most creators find themselves stuck between two bad options: Spend hours crafting every word manually (high authenticity, low output) or let AI write everything (high output, zero authenticity).
There's a third option: AI-amplified authenticity.
Use AI to research faster, think more comprehensively, and structure more clearly. But the insights, stories, and voice? Those stay human.
This approach gives you the best of both worlds: faster creation without losing what makes you unique. Here's exactly how I implement this with my AI tool stack.
ChatGPT for Research and Debate I use it like a research assistant who never gets tired. "What am I missing about this topic?" "What would a skeptic say about this?"
Claude for Editing and Structure Better at understanding nuance and helping refine ideas. "How can I make this argument stronger?" "What's the most compelling way to structure this?"
Notion AI for Organization Helps me connect ideas across different pieces of content. "How does this relate to what I wrote about productivity last month?"
The key: I never ask AI to replace my thinking. I ask it to enhance my thinking.
Let me show you this in action. Last month I wanted to write about productivity burnout. My initial brain dump was just: "I'm tired of productivity advice that ignores how exhausted people actually are."
I asked Claude: "What are the psychological reasons productivity systems fail for burned-out people?" It gave me research on decision fatigue, emotional regulation, and cognitive load.
But then I filtered that through MY experience: the 3 AM anxiety spirals, the guilt of incomplete to-do lists, the way perfectionism masquerades as productivity.
The final post combined the research depth with my personal struggle. It became my most-shared piece that quarter.
See the difference? The AI gave me the framework. I gave it the soul.
After months of experimentation, this approach crystallized into three non-negotiables for using AI without losing your voice.
Pillar 1: AI Assists, You Create Never ask AI to write your content. Ask AI to help you think about your content.
❌ Bad prompt: "Write a post about productivity." ✅ Good prompt: "I think most productivity advice ignores the emotional side of getting things done. Help me explore this idea."
Pillar 2: Your Stories, Your Voice AI can suggest structures and frameworks. But every story, example, and personal insight must come from you.
The moment you start using AI's generic examples, you lose what makes you different.
Pillar 3: The Human Edit Everything gets filtered through your experience and rewritten in your voice.
If it sounds like it could have been written by anyone, it's not ready to publish.
AI should make your voice clearer, not replace it.
I learned this the expensive way. Last year, I hired a content agency. They used AI to create a month's worth of posts for my LinkedIn.
Perfect grammar. Optimized hashtags. Professional formatting.
Zero engagement.
Why? Because none of it sounded like me. It was generic wisdom that could have come from any business guru.
I lost followers. Lost engagement. Lost money.
The lesson: AI without authenticity is just expensive noise.
Now I create less content but it's more distinctly mine. Engagement is higher. Revenue is higher. Stress is lower.
Quality over quantity. Always.
This mistake taught me something crucial about the future of content creation. AI is getting better every day. Soon, it will be indistinguishable from human writing.
But that's exactly why authenticity matters more, not less.
In a world of perfect AI content, being genuinely human becomes your competitive advantage.
Your experiences. Your mistakes. Your weird opinions. Your specific perspective.
These can't be automated. They can only be amplified.
Your weirdness is your competitive advantage. Don't optimize it away.
You might be wondering about AI detection tools. Here's the truth: they're looking for patterns of AI writing, not AI thinking. When you use AI to research but write in your authentic voice, these tools typically show human authorship. Because it IS human authorship—just AI-assisted human thinking.
The creators who figure out how to use AI as a thinking partner while staying authentically human will dominate the next decade.
The ones who let AI replace their humanity will disappear into the noise.
So here's your implementation plan. Don't overthink this. Start small.
Week 1: Audit Your Current Content Read your last 10 posts. Do they sound like you? Could someone else have written them? Be honest.
Week 2: Experiment with AI as Assistant Pick one piece of content. Use AI to research and brainstorm. But write it yourself.
Week 3: Develop Your Voice Filter Create a checklist: Does this sound like me? Would I say this to a friend? Is this my actual opinion?
Week 4: Scale What Works Find the AI assistance that enhances your voice without replacing it.
For your next piece of content, follow this simple process:
Write down your actual thoughts first
Ask AI to help you research the topic
Use that research to strengthen YOUR argument
Write it in YOUR voice
Check: would you say this to a friend?
The goal isn't to eliminate AI. It's to use AI without eliminating yourself.
Because in the end, people don't follow content. They follow people.
And no AI can be you better than you can.
Thank you for reading.
– Scott