The method

AI does the heavy lifting. I make the calls.

The tools aren't the hard part anymore — everyone can access them. The value is in knowing which to use, how to combine them, and when to overrule what they produce.

Why this works

Production is cheap now. Judgment isn't.

A few years ago, the bottleneck was making things — writing the code, designing the page, drafting the copy, building the automation. AI has largely removed that bottleneck.

What it hasn't removed is the need for someone to decide what's actually worth making, whether the output is any good, and how all the pieces fit your specific business. That's where most AI work quietly falls apart: impressive demos that don't survive contact with reality.

I keep a human in the loop at every step that matters. AI accelerates the work. I'm accountable for whether it's right.

How a project runs

Four steps. No mystery.

01

Understand

We start with the outcome, not the tool. I want to know what success looks like for you before I touch anything. Most of the value of a project is decided here.

02

Scope

I come back with a clear plan: what I'll deliver, roughly how long it takes, and what it costs. Fixed scope where possible, so there are no surprises.

03

Build

This is where AI earns its keep. I move fast, share progress early, and keep you in the loop — no disappearing for three weeks and hoping you like the reveal.

04

Hand over

You get the result, and you own it. Where it's an automation or a system, I make sure you understand how it runs and what happens if you ever want to take it in-house.

Every engagement

What you always get.

A single point of contact — me
Clear scope and honest timelines
Progress you can see, not a black box
Work you own outright at the end
A straight answer if AI isn't the right call

See how it'd work for your project.

Tell me the outcome you're after. I'll come back with a clear, honest plan.