How I Use Generative AI to Create Content Responsibly

“Intelligence has no polarity. If you use it for good, it produces good. If you use it for bad, it produces evil.” + Mo Gawdat

I first heard this quote during an episode of Ben Owden’s Why Lead podcast (Episode 0086 – AI is Humanity’s Saviour and Possibly Our Worst Mistake!) where he interviewed Mo Gawdat — shortly after Gawdat visited Tanzania and delivered a powerful keynote at the Future Ready Summit, courtesy of Vodacom Tanzania Plc. It stuck with me. AI isn’t good or bad. It’s not your enemy. It’s not your saviour. It’s a tool. And like any tool, the impact comes from how we choose to use it.

In this second edition of Learn Together, I want to share how I use generative AI to create content more efficiently, without losing my voice or compromising originality.

This past Saturday, June 14th, 2025, I had the wonderful opportunity to share Kerry Harrison’s AI Sandwich while teaching corporate executives about the foundations of personal branding. It was a fulfilling moment — one of those sessions where real conversations and practical insights took the lead.

Kerry Harrison’s AI Sandwich — And Why I Love This Framework

One of the best frameworks I’ve come across is something called the AI Sandwich, coined by Kerry Harrison — an AI educator and speaker who teaches courses for the Chartered Institute of Marketing (CIM). The idea is simple but brilliant:

“Use human intelligence to start and finish — and let artificial intelligence help in the middle.”

This approach has helped me maintain clarity, consistency, and authenticity in the content I create — both for myself and for clients. Here’s what it looks like in practice:

Step 1: Human Intelligence

Start with your own thoughts.

Before I open up any tool, I take time to jot down my point of view — what I believe, what I’ve experienced, or what I’ve observed. If it’s a topic that needs facts, I do the research. I find real data. I want to make sure the foundation of my content is sound, not synthetic.

Step 2: Artificial Intelligence

Once I have my core thoughts and findings, I bring in AI to help shape the content.

That might mean turning rough notes into a first draft, exploring variations of a message, or refining structure. AI helps me save time, but more importantly, it helps push my thinking further, especially when I’m writing long-form pieces like this one.

Step 3: Human Intelligence (Again)

The final and most important step: review and refine.

This is where I make sure the tone still sounds like me. I fact-check. I rewrite anything that doesn’t feel right. I take out the overly polished phrases, the hyphenated clichés, double emojis or stylistic quirks that just don’t reflect how I normally write. Because content, especially content from purpose-driven brands, needs to be human. Real. Clear. Credible.

Bonus: How to Prompt Well

The quality of your AI output is only as good as your input.

I use a simple prompt framework to make sure I’m guiding the tool properly, especially when I’m asking for something nuanced or audience-specific. My framework looks like this:

  • Role – Who am I writing as? (e.g. brand strategist, creative director, trainer)

  • Task – What am I asking AI to do? (e.g. refine an article draft)

  • Tone – How do I want it to sound? (e.g. conversational and warm)

  • Audience – Who is this for? (e.g. newsletter subscribers, industry peers, clients)

This structure not only helps the tool work better, it helps me clarify my own thinking.

Wrapping Up

There are many ways to use generative AI responsibly, and different frameworks will suit different creators and contexts. But this AI Sandwich model has helped me find a rhythm — one that’s fast, yet thoughtful.

Thanks for taking the time to read — and if you’ve made it this far, I’d love to hear from you: How are you using AI in your own work — and how do you make sure it still feels like you?

Let’s #LearnTogether.

 
Christopher Shayo

A creative at heart advocating for collaboration so we can #LearnTogether to #MarketBetter

Previous
Previous

Why Words Matter in the Sustainability Conversation