1. Writing and understanding computer code, which is what gives it a lot of power.
2. Mimic Social interaction. It can mimic and perform social interaction in a way that feels very human.

This is a bit confusing because I don’t necessarily think it’s good at the second thing, but it’s good at mimicking it, which means it can help you create narratives that may be difficult and incredibly time-consuming.

I use AI to write many of the blog posts on the Ink Kitchen

It’s a social experiment to see how I can adopt its writing style to be closer and closer to mine and communicate information effectively. Also, to have it be received well. I’m not sure if it’s the right thing to do, but in the space of learning and understanding, I know it’s something I need to try. Its growth in understanding AI tools.

One example of how the using it for this really worked out for me.

I had to write a historical document about my career for a project.

Writing about your own life is harder than it sounds. Especially when the assignment is a personal narrative, the kind that demands you make thirty years of work mean something. 2026 is 30 years for me.

My memory doesn’t arrive in order. It comes in fragments. A print that hit after a dozen tries. A floor in Honduras. New York. Portland. A conversation that changed how I saw the craft.

So I stopped trying to outline and just started talking. Open concept, no script.I narrated pieces out of sequence, circling back. “Oh, and that reminds me of the time…” I described what I did and how it felt, the frustration, the doubt, then the part where it clicked. The scattered moments started assembling into a story.

The AI held the fragments while I kept remembering.

It asked the next question, kept the thread, and handed back order without flattening the feeling. I’d describe a hard stretch and watch it turn into a real arc.

And that turned out to be a very positive thing for me.

Here is an excerpt about teaching: “I have written hundreds of articles for industry publications over the course of my career. These articles have covered technique printing, ink chemistry, workflow optimization, hybrid printing, water-base conversion, production management, pricing for the highest margins, and more recently, AI applications for the decorated apparel industry. Innovations across my career.

“Moneyball Screen Printing” published in the PRINTING United Journal documented the data-driven production methodology I created and implemented at Gildan’s Central American factory. The article walked the industry through the specific data collection methods, analysis framework, and operational results, providing a replicable blueprint for other production facilities to follow.

As US Technical Expert for PVC Free Inks/Virus/Lunica (2011–2013), I conducted extensive hands-on training with printers across the entire United States during a part of the industry’s migration from plastisol to water-base and PVC-free ink systems. I traveled to shops, worked on their presses, diagnosed their specific challenges, and taught operators how to run new ink chemistries on their existing equipment.

At Gildan, I worked directly with the press operators and production teams in Honduras, training a largely unskilled labor force in data collection methods, quality control procedures, setup optimization, and special effects printing. I traveled to Italy and learned from printers, and I believe strongly that teaching is inseparable from learning, every shop I visit, I come away with something new.

My active online portfolio of my R&D work on Instagram (@notoriousrandd), serves as an informal educational resource for printers who want to see what is possible with technique printing and AI for the industry. I was named Notorious by the wonderful, Carl Busey when I was traveling the United States with Virus, I adopted this as my Instagram handle “Notorious R&D.”

The honest part

There’s a worry that using AI to write means you’ve outsourced something honest. I understand it. I was using it to re-experience my own history, to sit inside my past long enough to feel it again.

That turned out to be a good thing.

What this really shows: the tool didn’t write my story. It held it still while I remembered it. The judgment about what mattered, what to keep, what it felt like, that stayed mine. Knowing the difference is the whole skill.

Tools used:

• Claude (drafting, narrative ordering, voice matching)
• Voice narration WISPR (talking through memory out of order instead of outlining)
• Instagram @notoriousrandd (R&D portfolio and informal teaching archive)