AI Engineering Transformation Sprint

CEOs, GMs, CTOs, or COOs at tech, media, or agency companies (or business units inside larger groups) with $5M–$75M+ ARR who:

• Have a real product, real customers, and an in-house or near-shore engineering team
• Know AI should be a force multiplier for your team, but right now it's stuck at "copy-paste into ChatGPT" instead of being part of the actual workflow
• Want to turn AI into a calm, repeatable part of how engineering works — without becoming "the AI police" or putting your team on the defensive
• Care about shipping work that moves revenue, not experiments that never leave a slide deck

If you're thinking, "We should be getting way more out of AI with the team we already have," this sprint is for you.

In 8 weeks, I incorporate AI into how your team works day-to-day — from ideas during meetings to defining tech specs to implementation — so that:

• More projects ship with the same headcount
• The repetitive stuff gets automated — not just faster, gone from your team's plate
• Your best people spend time on the hard problems that actually move revenue
• Your team actually knows how to use AI in their daily work — not just talks about it
• You end up with a written playbook for "how we build here now"

This is a hands-on operating upgrade for your engineering team, not a motivational workshop.

I start by understanding how your team works today and what they're already doing with AI. Engineers help pick the 3–5 workflows we improve first — so I'm solving their headaches, not adding new ones.

Every change is designed to make your engineers look better to the rest of the company: faster delivery, less grind, clearer wins.

"Won't AI just keep getting better on its own?" It will. But models improving doesn't eliminate the advantage of knowing how to use them well — it widens it.

Study after study shows the same thing: the teams seeing dramatic gains aren't using better AI tools. They have better workflows. Companies that hand engineers AI without structure don't just miss the upside — they often end up slower.

There will always be ways to competitively extract more from wherever the models are right now. An engineering team still running prompting habits from six months ago — strategies that were helpful when models were weaker, but that actively degrade output from current models — isn't just missing upside. They may be working against themselves.

The playbooks we build in 8 weeks give your team a strong foundation. But AI moves fast enough that they benefit from tending.

• 8 weeks of direct access to me — a hands-on AI builder and 2× CEO / 3× CTO who has shipped real products in payments, ecommerce, and AI
• 6–8 live "build with me" sessions using your actual work, recorded so you can reuse for new hires
• Weekly Q&A / office hours for your engineers and leads
• 3–5 written playbooks for the workflows I help improve, in your language and your tools
• Prompt and tool setups tuned to your stack and your risk tolerance

All of this scales — every new hire ramps faster because the playbooks already exist.

• Fee: $50,000 for 8 weeks
• 50% when we start, 50% at Week 5

Week-4 exit option

Before we start, we agree on 2–3 simple results that would make this feel like a win. Examples:

• "This class of work takes about 30–50% less time"
• "We finally shipped [specific project] that's been stuck"
• "We're clearing more tickets each week with the same team"

At the end of Week 4, we sit down and review progress against those.

• If you feel we're on track to a clear win by Week 8, we continue
• If you don't, you stop the sprint and owe nothing beyond the first 50%

That's your protection: you get four weeks of real work and a clear checkpoint. My side of the deal is I'm confident enough in the outcome to put half the fee on the line.

We'll pick 2–3 that matter to you, such as:

• "This type of project used to take 6–8 weeks; now we can do it in 3–4."
• "We're consistently getting more work over the line each sprint with the same people."
• "We finally shipped [feature / internal tool] that's been delayed for months."

If I can't see a believable path to outcomes like that, I won't offer the sprint.