danwilt.ai
Process About Book a Call
For Engineering Teams

Your engineers have AI tools. They're not getting 10x value from them yet.

Most teams have Copilot or Claude installed. But engineers are still babysitting every output and rewriting half of it. The problem isn't the model — it's how your team is using it. I find the gap and close it.

Book a 30-Minute Call Audit to training in under a week

Audit: 2–3 days|Training: ~1 week|Your team is shipping differently by Friday

The Gap

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.

— Every engineer, at some point

Half my day is reviewing AI-generated PRs from juniors that look right at first glance but break in weird ways.

— Senior engineer, buried in reviews

It's great for throwaway scripts. But on our actual codebase? It doesn't know our patterns. The output is useless.

— Lead developer, legacy codebase

We bought Copilot for everyone six months ago. Usage dropped after the first two weeks. Nobody talks about it anymore.

— VP of Engineering, wondering about ROI

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.

The Process

Two phases. One week. 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.

01
Phase 1

The Audit

$10,000 4 days · Remote or on-site
Day
1

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.

Day
2–3

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.

Day
4

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.

Deliverables
Audit Report — A prioritized findings document with specific, actionable recommendations tailored to your team, your stack, and your gaps.
02
Phase 2

The Training

$30k–$150k ~1 week · Scales with team size
Half
½d

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.

Day
1–2

Codebase Configuration

I work with your team to implement the specific configurations, documentation, and patterns your codebase needs for AI to produce high-quality output consistently. This is the system — not just knowledge transfer.

Day
2–3

Hands-On Pairing

I pair with your engineers on real tasks from your backlog. We work through actual tickets together so they experience the difference firsthand. This is where the "aha moment" happens — when they see their own code coming back right the first time.

End
+30d

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.

Deliverables
Configured Codebase — Your repos set up with the context, patterns, and documentation that AI tools need to produce consistently good output.
Team Playbook — How to maintain what we set up, onboard new engineers into the system, and evolve it as tools change.
Workshop Recording — Full recording so new hires can get up to speed and existing team members can revisit key concepts.
Ongoing Support — I stay in touch for the first few months after training, answering questions and making sure your team stays on track.
< 1 Week
Audit to training complete
Day 1
Engineers start working differently
10x
The output gap between trained and untrained teams
Why Me

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.

Enterprise

Amazon — App Store

Built the frontend for the Amazon App Store

Walmart — Sam's Club

Established TDD patterns for the Sam's Club mobile team

Expedia — Product Page

Improved performance of their product page

Startups

Air — Seed to Scale

Joined at seed stage with 10 people, helped scale engineering to 35+ employees and $5M ARR over six years

35+employees
6years
$5MARR

LoanCAD — Co-founder & CTO

Built the AI context system so effective I automated myself out of the CTO role. $1M+ profitable in under 2 years.

5employees
2years
$1M+profitable
Start with the audit

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