Why You Need to Treat AI Like an "Intern with a PhD"

Have you ever read a piece of content and immediately thought, “Yep, a robot wrote this”?

One question I often get is, “How can you actually tell if something sounds like AI?”

The truth is, when it comes to the content creation process, if you rely solely on AI, it’s going to sound exactly like what it is: a machine pulling generic information off the internet.

One of the best pieces of advice I’ve ever heard: Treat AI like an intern with a PhD.

This “intern” is incredibly smart. It has access to an endless amount of data, facts, and frameworks. It can process information faster than any human ever could. But it lacks real-world experience, nuance, and your unique perspective.

If you just hand this “intern” a basic prompt and say, “Write a script for me,” it’s going to give you exactly what it finds online. It’s going to be technically correct, but it will sound like anything else anybody else can create.

So what’s the solution? I call it the 30-40-30 Framework...

The 30-40-30 Framework

This is the system I apply to everything I do with AI, and it changes the way you think about content creation entirely.

The first 30%: Research and ideation-AI Heavy. Use it to brainstorm topics, pull together research, identify angles, and build out the initial structure of your content. This is where AI shines. It is fast, thorough, and efficient. Let it do the heavy lifting on the front end.

The middle 40%: The actual substance of the content — You Heavy. This is your real-world expertise. This is your lived experience. This is the perspective, the insight, and the knowledge that you have built over years that no AI model can replicate. This is the part that makes your content worth reading. No shortcut exists here, and frankly, none should.

The final 30%: Distribution and Repurposing-AI Heavy. Use it to extract key quotes from your long-form content, reformat it for different platforms, schedule posts, and amplify your reach. AI is an exceptional distribution engine when you give it something real to work with.

The framework is simple: AI handles the front and the back. You own the middle. That middle 40% is your competitive advantage, and it is the reason your audience follows you and not someone else.

The Framework in Action: A Story That Proved the Point

I want to share a story that put all of this to the test in real time, because theory is one thing, but real life has a way of exposing the truth fast.

I was being interviewed on a podcast. Everything was going smoothly, and then mid-conversation, the host did something I didn’t expect. They pulled up quotes I had posted on my social media and asked me to go deeper on them.

Here’s the thing: I wasn’t fazed for even a second.

Why? Because every single one of those quotes was something I had genuinely said before in long-form content. I had real knowledge behind every word. AI helped me extract those quotes and distribute them. That was the 30% on the backend doing exactly what it’s supposed to do. But the ideas, the experiences, and the insight behind them? That was the 40% in the middle. That was entirely mine.

Now think about what could have happened if I had done it the wrong way. What if I had used AI to fabricate quotes about things I didn’t actually know? What if I had let it put words in my mouth about experiences I had never lived? I would have been called out on the spot. I would have been exposed, and rightfully so.

That is the real risk of skipping the middle 40%. You can get away with hollow content in a caption. You cannot get away with it when someone puts you on the hot seat and asks you to defend every word. And the hot seat might not just be a podcast. It could be a client meeting; it could be an interview; it could be a business pitch. It’s anything where you have to go in depth on the content you’ve put in the market

Because the knowledge that I had was the foundation of the content, it was authentic but automated in its ideation and repurposing.

Beyond the 30-40-30 framework, here are the three principles I apply every time I sit down to create:

Give it the right inputs. You can’t expect a masterpiece from a generic prompt. Guide the AI with specific references, your own insights, and the tone and feel you want. The more direction you provide, the better the output becomes. what I often do here is I tell any LLM what I’m looking to do, who I’m trying to reach, the ultimate outcome, and then I give it the task at hand.

Let your judgment jump in. As the AI output gets better through your tailored prompts, your own judgment has to step in and shape it. Read it critically. Ask yourself if it sounds like you because your audience will ask the same question. The tactical tip I have for you here is to ask or tell the model about personal experiences and then to give it what’s called recommendations. If you use alliterations, have it always say that. If you use metaphors, have it always say that. That way it can tailor what it’s trying to generate for you to sound more like you versus sounding like every output it gives to everybody else

Polish for professionalism and clarity. AI can do the heavy lifting, but you have to take it across the finish line. Apply your own standard to make sure it sounds professional, clear, and actually gets your point across to the specific audience you are speaking to.

The Bottom Line

At the end of the day, AI is not a replacement for your expertise, it is an amplifier of it. It’s an incredibly smart intern waiting for your direction. But the moment you start using it to fake knowledge you don’t have or manufacture a voice that isn’t yours, you are building on a foundation of sand.

Your real-world experiences are your competitive advantage. Your knowledge is your credibility. AI can help you package it, distribute it, and scale it, but it cannot create it for you.

Use AI to extract your brilliance. Never use it as a substitute for having some.