I replaced myself as CTO with AI. Let me double your team's output.
I audit how your team uses AI, find the gaps, and train them to close it. The result: doubled engineering output in 90 days.
AUDIT :: 2–3 DAYS·TRAINING :: ~2 WEEKS·YOUR TEAM IS SHIPPING DIFFERENTLY WITHIN DAYS
There's a massive gap between "uses AI tools" and "AI is a force multiplier."
If any of these sound familiar, your team is on the wrong side of that gap.
I spent an hour getting Copilot to generate that module and then another hour fixing everything it got wrong.
Half my day is reviewing AI-generated PRs from juniors that look right at first glance but break in weird ways.
It's great for throwaway scripts. But on our actual codebase? It doesn't know our patterns. The output is useless.
We bought Copilot for everyone six months ago. Usage dropped after the first two weeks. Nobody talks about it anymore.
You've seen the LinkedIn posts — teams claiming 10x output, companies shipping with half the headcount. And your team's experience looks nothing like that. So you start to wonder if it's all hype. It's not. The gap between your results and theirs is specific, diagnosable, and fixable.
Two phases. Two weeks. Permanently better output.
I come in, diagnose exactly where your team stands, and train them to close the gap. No multi-month timelines. No bloated SOWs. And my compensation is tied to your results.
The Audit
Codebase & Tooling Review
I dig into your repos, CI/CD pipeline, and existing AI setup. I'm looking at how your codebase is structured for AI to succeed — or fail — and what tools your team has access to versus what they're actually using.
Engineer Shadowing
I watch how your engineers actually work with AI in the codebase. Not interviews — real observation. I see where they're getting stuck, where they're fighting the tool, and where the process breaks down.
Findings & Recommendations
A clear, prioritized report: here's where your team stands, here's the gap, here's exactly what it would take to close it. No jargon, no fluff — a document you can hand to your CTO or VP of Engineering.
The Training
Team Workshop
A live session covering the principles behind why AI falls short for most teams and the mental model shift required to make it a reliable tool. I tailor this to your stack, your codebase, and the specific gaps I found in the audit.
1-on-1 Pairing Sessions
I pair directly with your engineers to set up your codebase, working through real problems together. Each session is tailored to where that developer is — pair programming on a real task, walking through the mental model shift, or breaking down how AI tools actually work. Your team does the work with me, so they learn the discipline by applying it. The setup is the teaching tool, not the product — and this is where the "aha moment" happens.
Handoff & Follow-Up
Documentation of everything we set up, a playbook for maintaining and evolving it, and a 30-day check-in to answer questions and troubleshoot anything that's come up since.
I've been building software for 20+ years.
I know what actually works in production.
I'm not someone who read about AI last year and started consulting. I've shipped production code at the companies your engineers want to work at.
App Store frontend
Sam's Club TDD patterns
Product page performance
Seed to Scale
Joined at seed stage with 10 people, helped scale engineering to 35+ employees and $5M ARR over six years
Co-founder & CTO
Built an AI-driven engineering setup so effective I automated myself out of the CTO role. $1M+ profitable in under 2 years.
Book a 30-minute call.
I'll show you the gap live.
I'll walk through what 10x AI output looks like on a real codebase. Then we'll scope the audit for your team. No pitch deck — just a screen share and an honest conversation.
GET IN TOUCH