Building AI agents since 2017

Your team wastes 20 hours a week on work AI should handle. Let's find which 20 and fix them.

I audit your operations, find the bottlenecks, and build AI agents that plug into your existing tools. No setup on your end. No dashboards to learn. No prompts to write.

Since 2017 building production AI|39+ tool integrations|4 weeks to first automation
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The Problem

You Know AI Could Help. You Just Don't Have Time To Figure Out How.

You've tried ChatGPT. Maybe Zapier. But your invoices still sit in your inbox, your follow-ups still slip through cracks, and your team still burns hours on work a machine should be doing.

The gap isn't AI. It's implementation.

Most businesses don't need better AI tools. They need someone who's done this before to come in, look at how things actually run, and wire the automation into the systems they already use. That's the whole job.

Business overwhelmed by manual processes

"I don't have two hours a week to sit and build this stuff."

You don't have to. I build it. You approve the output.

"The AI requires too much brainpower during a live call."

These agents work after the call. Drafting, logging, following up. You just move on.

"Things keep falling through the cracks."

Follow-ups forgotten. Invoices unlogged. That stops the day your agents go live.

How It Works

Three Steps. Four Weeks. Done.

01

Audit

Week 1, free

I look at how your team actually works. Not how you think it works. The 3 to 5 biggest automation opportunities get identified, with specific time and cost estimates for each one.

"You keep the roadmap even if you don't move forward."

02

Build

Weeks 2 to 4

Agents get built and connected to your actual tools. Notion, Gmail, your CRM, whatever you already use. Nothing new to learn. Nothing to configure. It just starts working.

"You press play, boom."

03

Run

Ongoing

Your agents run every day. Drafting, processing, following up. As your business changes, the automation changes with it. New bottlenecks get new agents. This isn't a one-time project that collects dust.

"It presents the work. You say send."

Case Study

Travel Concierge Service

Toronto, Canada

A travel concierge had 50 reservation confirmations sitting unlogged in their inbox. Entering them manually would have taken 3 to 4 hours.

I built an agent that reads the emails, extracts the booking details, and logs them into Notion automatically. Every new reservation now goes straight from inbox to database. Nobody touches it.

100%

Backlog cleared

3-4 hrs/wk

Time saved

0

Human touches

Emails flowing into organized database

What Gets Built

AI Agents That Run Your Operations

Post-Call Automation

Call ends. Emails draft themselves from the transcript. Action items get logged. Follow-ups get scheduled. You just hit approve.

Invoice Processing

50 invoices in your inbox, zero in your database? An agent reads each one, pulls the data, and logs it. Takes minutes instead of hours.

Client Onboarding

New client signs up. Welcome email goes out, folders get created, CRM gets updated, tasks get assigned. All of it automatic.

Lead Research & Outreach

Prospects get researched, scored, and contacted before you wake up. One closed deal pays for the whole thing.

Weekly Reports

Data pulled from across your tools, assembled into a report, and dropped in your inbox Monday morning. No more copy-pasting from five tabs.

Support Responses

Common questions get answered fast. Tricky ones get flagged for a human. Nothing gets dropped.

How much does your manual work actually cost?

One 5-minute task done 10 times a day = $7,850/year

One hour a day on manual work = $9,422/year

Based on $36.24/hr national average (Bureau of Labor Statistics, 2025)

Automate the process and those costs drop up to 90%. Most workflows pay for themselves in the first month.

What usually turns up

Email follow-ups after calls5-8 hrs/week
Invoice and receipt logging3-5 hrs/week
Report compilation4-6 hrs/week
Lead research and outreach6-10 hrs/week
Client onboarding admin2-4 hrs/week
Total automatable20-33 hrs/week

Track Record

I've been building AI agents since before ChatGPT existed.

Not a consultant who picked up prompt engineering last year. Not an agency that used to do social media. I've been shipping production AI systems for 8 years.

oCaptain AI

2017-2019 · Co-Founder

Autonomous AI that ran restaurant operations. Reservations, orders, customer messages across multiple channels. No human in the loop.

Custom neural networks trained on live restaurant data. Full stack built from scratch: NLP in PyTorch, API in Go, Android app for staff. Real DC restaurants, real paying customers. Years before anyone had heard of LangChain.

nNode

2025-2026 · Co-Founder and CTO

Workflow automation platform. 39+ tool integrations. Businesses used it to kill hours of daily admin across marketing, CRM, and communications.

The platform scans what tools a company uses, figures out what can be automated, then builds and runs the workflows. Design partners stopped doing manual data entry within the first week.

Alarm.com

2022-2025 · Software Engineer

AI features shipped to millions of homes. Cameras that recognize familiar people and vehicles. No cloud required.

Also built an internal AI knowledge system that connected company docs and Slack threads into one searchable brain. Engineering team adopted it org-wide.

The point

I don't give advice about AI.
I've been building it for 8 years.

Restaurant agents in 2017. Enterprise platforms in 2025. Computer vision shipped to millions of devices. When I look at your operations, I'm not guessing what's possible. I already know.

Work With Me

The Guarantee

The Audit Is Free. The Roadmap Is Yours.

If I can't find at least 10 hours of automatable work in your operations, I'll tell you. No pitch. And if I build something that doesn't pay for itself in the first month, you don't pay for it.

Get My Free Audit

Questions

I've been building production AI since 2017. Restaurant agents, enterprise platforms, computer vision shipped to millions of devices. Most AI consultants learned prompt engineering last year. I trained custom neural networks before GPT-2 existed.

First automation goes live in 4 weeks. The audit happens in week one and it's free.

39+ and counting. Gmail, Notion, Google Drive, Slack, HubSpot, QuickBooks, Front, Salesforce. If it has an API, I can connect it. You keep your existing tools.

The audit is free. Implementation pricing depends on what needs to get built, but one workflow usually pays for itself in the first month. You get a clear number after the audit. No surprises.

No. If you can reply to an email, you can use what I build. You approve output. That's it.

I iterate until it does. If I can't prove the ROI, you don't pay.

No. It replaces the boring parts of their job. Data entry, follow-up emails, report assembly. Your people do more of the work that actually requires a human.

Yes, and that's the point. You get 8 years of AI engineering directly, not a junior reading from a playbook. For bigger projects I bring in people I've worked with before.

Get Started

Let's find your 20 hours.

30-minute call. I map your top 3 automation opportunities. You keep the roadmap no matter what.

Free audit, no strings
Roadmap you can use with or without me
Specific ROI estimate for each automation
If I can't find 10+ hours of waste, I'll say so

Response within 24 hours. No spam, ever.

Book My Free Audit