Designed, built, and shipped by one engineer
AI copilots, intelligent automation, forecasting, and decision-support systems built around your data, workflows, and business goals. From strategy to deployment, I build production AI that teams actually use.
Not prototypes. Systems running today, with real users and real stakes.
Decision cycles got faster, with an auditable trail behind every call.
Leadership sees where dealers get stuck and adapts material in near real-time.
A live "situational awareness" signal tied directly to operational decisions.
If your team is buried in repetitive questions, manual processes, or decisions made on stale information — that's the work.
Your employees find answers instantly instead of pinging the one person who knows.
Assistants embedded in real workflows — drafting, triaging, and preparing work for human review.
Know what's coming with clear uncertainty bands, and decide with the numbers in front of you.
The "we copy-paste this 200 times a week" problems, handled end to end.
Anomalies, fraud, and pattern changes caught as they happen — not in next month's report.
AI as a first-class part of your product, from backend to user experience.
Most AI projects fail because they stop at prototypes. I focus on production systems:
A simple, transparent engagement model that protects both sides and keeps the project moving.
A focused call on where you are today: data, systems, constraints, and the outcome you want. Concrete terms — metrics, timelines, who owns what.
A written plan broken into phases with explicit deliverables, success criteria, and a fixed quote.
Work begins with a 50% deposit via PayPal business invoice to customaimodels@gmail.com. Scope locks, execution starts.
We meet weekly to review progress and make decisions. You always know what's done, in progress, and next.
Each phase ends with the agreed deliverables: code, models, documentation, deployment. Balance due on delivery.
We move to the next phase, or I hand off clean artifacts to your team with a clear transition plan.
If you have a concrete use case and want to know what it takes to ship it, the next step is a scope call. Every quote is tied to a specific problem, phase plan, and set of deliverables.
Not ready for a call? Describe your use case to the assistant and get an AI-generated project assessment in under 5 minutes.
