I help companies
become AI-
native.
I find where a business leaks hours, then I build the system that stops it. Your team learns to run it without me.
Systems I've built,
and what changed.
AI built for the way each business actually runs, not a generic platform bolted on top of it.
AI for wellness brands
A full client platform for a wellness studio: booking, payments, content, and a mobile app, with AI doing the busywork behind the desk.
AI for home services
Lead gen that does the selling before you pick up the phone: AI shows homeowners their own yard finished, then routes the lead straight to the owner.
AI for sales pipelines
A CRM that scores every inbound job, drafts the proposal, and tracks the pipeline, so a human only touches the deals worth touching.
AI for field reporting
Raw notes and photos in, submission-ready reports out. Formatted to spec, checked against the rulebook, filed and logged automatically.
Production systems shipped
Live right now, running daily
An agent fleet that works while I sleep
Building AI systems every day
Most companies don't
have an AI strategy.
They have a few ChatGPT tabs, five subscriptions that don't talk to each other, and one person who's good with AI.
Nobody agrees on where AI belongs. Everyone uses it their own way, another subscription shows up on the card every month, and the knowledge that actually matters sits in inboxes and in people's heads.
Pilots impress in the demo, then quietly die. Six months later the business runs exactly the way it did before.
Access to AI isn't the problem. Knowing what to build, and what to skip, is.
One person,
start to finish.
No handoff between the person who plans it and the person who builds it. Both are me.
Strategy with the owner
We figure out what's worth building before anything gets built. A short list, ordered by what it saves you.
Mapping with operators
I sit with the people who do the work and write down how it really happens, not how the org chart says it does.
Building the systems
Then I build it, inside your stack. You own the code when I'm done.
Training your team
Your people learn to run it and change it. The goal is you not needing me.
Staying on as it changes
Models leapfrog each other every few months. I keep what we built current, so you never fall behind again.
Ready to become AI-native?
Start with an audit of where the hours go, or with the build you already know you need.
I build.
I don't advise
from a deck.
Everything I know comes from shipping real systems and fixing them when they break. My own business runs on agents I built: they find leads, score them, write the follow-ups, and file the reports while I sleep. I'm the first client of everything I sell.
AI strategy starts with the business, not the model.
P&L first, model second. If a spreadsheet solves it, I'll tell you. That order is why my systems survive the first budget review.
The model layer keeps getting more interchangeable.
Frontier models leapfrog each other every few months. I build so the model is a part you swap, not a foundation you rebuild on.
Your context is the moat.
Anyone can buy the model you use. Nobody else has your data, your edge cases, or the way your people make calls. That's where the build time goes.
Humans and agents share one source of truth.
My agents read the same tools your team uses, with the same permissions. Anything an agent produces, a person can trace and check.
The capability should live in your team.
I hand over the code and the reasoning behind it. You get a team that can extend the system, not a dependency that bills forever.
Governance goes in the pipeline, not a PDF.
Approval steps, logging, and guardrails live inside the system, where they can't be skipped. A policy PDF gets ignored the first busy week.
Proof, not promises.
These are live systems, not slideware. Ask me and I'll walk you through any of them, running.
A full client platform, from first sketch to the app stores.
Booking, payments, content, and a mobile app for a wellness brand. Live on iOS and Android, run day to day by one owner.
Ask about this build →A visualizer funnel that turns browsers into booked estimates.
Homeowners upload a photo, AI shows their yard finished, and the lead hits the owner's Slack before they've closed the tab.
Ask about this build →Reports that write themselves, checked against the rulebook.
Raw notes and photos become submission-ready reports, linted against the official spec, filed and logged automatically.
Ask about this build →My business runs on an agent fleet I built: lead scraping, scoring, proposal drafting, reporting, bookkeeping. I'm client zero for everything I sell you.
an operation that keeps working after I stop
Let's get started.
Two ways in. Most owners start with the audit.
AI Opportunity Audit
For owners who want to know where AI actually pays before anything gets built.
- I map your workflows and where the hours leak
- A ranked build list, ordered by ROI, not hype
- A plan for how the pieces fit together
- You keep the document either way
Custom AI Build
For teams with a defined need: an agent, an integration, an internal tool, a platform.
- Custom systems you own outright
- Integrated into your existing stack
- Your team trained to run and extend it
- Support after it ships