The Age of the Generalist Is Back

AI is the specialist now.

For decades, "pick a lane" was good advice. The problems were simpler. The domains were separate. That's not the world anymore. Today's problems bleed across disciplines — they need someone who can read the whole board, not just their corner of it. That's what I do.

Cross-Domain Synthesis

The insight that fixes your marketing problem might live in systems engineering. The framework that unlocks your team might come from game design. A generalist doesn't just bring more tools — they bring the whole workshop.

Adaptive Thinking

Specialists optimize for the world they trained in. Generalists are always mid-pivot — it's the default mode. Uncertainty isn't a problem to solve. It's a medium to work in.

Pattern Recognition

The more systems you've studied, the more you see the same patterns wearing different clothes. That's not trivia — it's a diagnostic superpower.

AI — The Tool That Maximizes Human Potential

AI doesn't replace generalists. It was built for them.

Specialists use AI to go deeper in one lane. I use it to go deep in all of them — at the same time. The result is something that didn't exist five years ago: one person with the knowledge density of a full team, available without the org chart.

Research at Scale

What used to take a research team a week, I deliver in hours — with context, synthesis, and a point of view attached. Not by cutting corners. I know the strengths and weaknesses of AI and play it like an instrument.

Rapid Domain Entry

With AI as a learning accelerant, I reach working fluency in a new domain faster than most specialists can pivot out of their old one.

Whatever Format the Problem Needs

Reports. Scripts. Automations. Frameworks. Decks. The deliverable fits the problem — not the other way around. I don't have a hammer. I have a foundry.

Let's Work Together

You probably have a problem
that doesn't have a job title.

The best work I've ever done didn't fit a category. Someone had a messy, undefined, doesn't-fit-the-org-chart problem — and needed someone willing to actually figure it out.

Let's talk.