I used to think AI was just another tool — something that could help me write faster, find answers quicker, and get more done.
At first, that’s exactly how I used it.
Need interview questions? Ask AI.
Need a blog post? Ask AI.
Need a process outline? Ask AI.
The problem was, everything I got back sounded the same. It was fine… technically. But it wasn’t me.
The words were clean, polite, and predictable — not my energetic, straight-to-the-point, “let’s make this fun” style. I wasn’t hearing my voice, my humor, or my point of view.
That all changed one afternoon while I was building a training program for a client moving from Google Workspace to Microsoft 365.
It was a massive project. My job was to design all the user training — sessions on Outlook, Teams, OneDrive, everything. I decided to start by interviewing people across the organization to understand how they actually worked before designing the classes.
So, naturally, I asked ChatGPT for a list of interview questions.
It gave me a decent list, but something felt off. The questions were generic — they didn’t fit everyone I’d be interviewing. So I asked, “Would these questions make sense for different roles?”
That one question flipped the entire conversation.
AI replied that it depended on the roles, responsibilities, and goals of each person — information I hadn’t actually given it. That’s when it hit me: it wasn’t missing context because it wasn’t smart enough… it was missing context because I hadn’t told it enough.
So I explained the project in more detail and said, “Instead of giving me a list, interview me. Ask me the questions you need to know so you can create the best list of interview questions for me to use.”
The next few minutes were incredible.
It asked me thoughtful, strategic questions about the company, the people, and the goals of the rollout. By the end, it had outlined not only interview questions — but a full strategy that included personas, communication types, and training approaches I hadn’t even considered.
That’s when I realized something big:
That realization followed me into my own work — when I started building a story bank for my brand.
This time, I gave AI a list of questions to help me tell personal stories I could later use in my blog, emails, and social posts. But instead of just answering the questions, I asked AI to dig deeper:
“Ask me follow-up questions. Help me remember the feelings, the details, the lessons.”
What happened next was awesome.
After a few stories, it noticed something I hadn’t.
It told me many of my stories centered around women in the workplace — and how hard it had been for me to get real, constructive feedback that helped me grow. It had connected a thread between stories I thought were completely unrelated.
It saw me.
Not just my words — my patterns, my experiences, and even my blind spots.
That’s when I stopped calling AI a “tool” and started calling it my creative partner.
Creativity with AI is a two-way street.
Yes, good prompts matter — but the real magic happens when you invite AI to ask back.
When you stop saying, “Write this for me,” and start saying, “What am I missing?”
When you let it interview you, challenge you, and help you think bigger.
That’s when your content starts sounding like you.
Now, everything I create with AI — from course ideas to emails — feels personal. My humor shows up. My stories come through. My lessons land.
Because I’ve learned that collaboration isn’t about control — it’s about conversation.
Here’s how I do it:
Because AI can’t create your voice — but it can help you find it.
And once you do, you’ll never go back to using it “just as a tool.”
BEST THE EDGE
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Here’s why that’s the wrong move, and what to do instead. The first response AI gives you is the start of a conversation, not the answer. Most of us don’t know that when we start. We type in a request, take what comes back, make a few edits, and move on. The output is decent. […]
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