How I Learned to Work with AI – And Built a System No One Else Did
I first began experimenting with AI in November of 2022, just as ChatGPT launched to the public. It started as curiosity—trying out early generative models, exploring MidJourney visuals with John, and seeing what this “next big thing” could really do. But what began as exploration quickly became a transformation in how I think, work, and solve problems.
Over time, I realized that the AI wasn’t the limitation—I was. Or rather, my prompts were. So I began studying how to speak to it more clearly, more intentionally. I taught myself the language of prompt engineering—not from a course, but through trial, reflection, and creative necessity. As my skills evolved, I stopped thinking of ChatGPT as a tool and started building systems inside of it. These were frameworks designed to serve specific functions: writing, editing, canon control, intellectual property management, even resume construction. I wasn’t just asking questions anymore—I was designing solutions.
By 2024, I was creating fully modular ecosystems inside of ChatGPT:
G.E.O.R.G.E., my generative engine for managing canon and protecting IP.
CIS, my Content Integrity System to constrain AI drift and hallucination.
The Writers Guild, a set of editorial constructs modeled after mythic personalities for collaborative creative editing.
But what truly sets me apart isn’t just what I built—it’s how I built it.
I’ve developed a unique, multimodal workflow:
I speak my prompts using speech-to-text for natural, flowing commands.
I listen to ChatGPT’s responses aloud using read-back audio.
While listening, I visually follow the transcript and handwrite notes directly on the text using my Galaxy Tab S9 Ultra.
I then respond verbally, reading directly from the transcript, catching and correcting issues live, using intuition and iteration.
This loop is more than efficient—it’s immersive, human, and cognitively rich. I’m not just typing queries and reading results; I’m having a conversation. I’m debugging in real time, aligning AI output to real-world needs, and thinking several steps ahead while still grounded in the present task.
I don’t know anyone else who interacts with AI this way.
And that’s what I want employers to see:
I don’t wait for the next tool—I build it inside the tools we already have. I’ve reverse-engineered hallucination problems, constructed reusable content ecosystems, taught myself coding basics, and used ChatGPT as both a co-author and a co-pilot. I’ve proven that even without a formal programming background, someone with the right mindset can engineer systems, manage data, and architect workflows that are clean, scalable, and intuitive.
If you’re looking for someone who can write, design, organize, problem-solve, and innovate using today’s most powerful tools—I’m already doing that.
Let me show you how far we can go.
