I keep exploring.

What I do

Right now I train teams in AI adoption and produce AI visuals at PromptGorillas. That means one day I'm running a workshop on how to make AI part of the work. The next I'm building a visual pipeline for a brand that wants something that looks like them.

Training and visuals look like two jobs. They're one practice.

How I work

At PromptGorillas we cut the content cycle from weeks to days. That required two things: understanding where the real inefficiencies were, and building solutions that didn't fall apart once someone other than me was using them.

SHAPE • DECIDE • LEARN • SHAPE • DECIDE • LEARN • SHAPE • DECIDE • LEARN

Origin

I didn't come to this through computer science. I studied film, literature, and rhetoric: disciplines that are entirely about how meaning gets made.

That eventually led to a Master's in Media and Business, where I wrote a cum laude thesis on how AI affects organizational strategy.

The thread from film studies to AI trainer is shorter than it looks.

Evaluating an AI model's output is the same close-reading I was doing on novels.

Things I build

This website (vibe-coded).
A custom MCP server that connects the podcast's YouTube analytics to Claude.
An n8n automation that creates chapter markers for the podcast.

These examples resemble my work ethic: exploring new solutions to overcome stubborn hurdles.

LENS AI

Lens AI is my visual production label.

I make AI visuals that are art directed, pipeline-built, and made to actually work for a brand.

Film studies is where I learned what makes an image hold. AI is how I make them now.

Value Fit Model

The Value Fit Model is a cyclical five-part framework I built during my thesis. The short version: AI strategy isn't something you set once. It moves through your context, your values, and your outcomes, and loops back to reshape all three. Most teams skip that loop. That's where things go wrong.

If that sounds familiar, we'll probably have a good conversation.

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