Part strategist, part builder. I sit with the people who own the problem, design the system that solves it, and ship it with modern AI tooling.
Turn a fuzzy business complaint into a concrete system spec — the step where most AI projects quietly fail.
Prototype and ship working products with AI-assisted development and no-code platforms — from empty repo to something people use.
A design-school eye for interfaces and brand, so what I build looks and feels considered, not just functional.
Years of consultative, quota-carrying sales. I can run the demo, handle the objection, and earn the yes.
Founders have no honest way to know which of their ideas deserve their time — friends flatter, and hype isn't evidence. Merit, live at merit.fyi, grades a startup idea in about ninety seconds across seven weighted dimensions, scored against the founder's actual skills, budget, and hours, with the full evaluation emailed to them. The methodology is public, most ideas land in the 50s and 60s, and every grade comes with a shareable score certificate. One shot to raise the score with better evidence; a $29 Deep Dive adds a freshly researched teardown, competitor intelligence, and a 30-day plan — delivered within the hour.
Home and property service owners lose deals to scattered leads and slow follow-up. Clusi Control is a single command center — pipeline, CRM, estimates and proposals, financials, and prospect research in one place. It flags every lead going cold, forecasts revenue by close probability, simulates win-rate scenarios, and auto-generates insights on which jobs and channels actually make money — while a prospect radar scans your service territories, gathers source evidence, and pushes approved leads straight into the pipeline. A config system adapts the whole thing to each type of business without a rebuild.
An early-stage residential painting company I co-founded. To find work for it, I built and deployed a lead-generation tool that researches a market, scores prospects by fit against real signals like permits and property records, and pushes the best ones into a CRM-ready pipeline. Watching it surface genuine high-value jobs is what made the bigger opportunity obvious — every home-service business needs this — so I generalized that tool into Clusi Control.
Sit with the people who own the problem and find the real bottleneck, not the one they lead with.
Design the smallest system that removes it — data, workflow, and where AI actually earns its place.
Ship a working version fast, then tighten it against real use instead of guesses.
Hand back the hours: the routine work runs itself, and the owner gets to lead again.
I came to AI through business, not the other way around.
I started in design at SCAD, then spent a decade hopping around different job types to learn how businesses actually run — at TowneBank I originated mortgages, running pipelines end to end in a systems- and compliance-heavy business; at Tecovas I led a sales floor and store operations; and I founded The Glencove Group to do creative and marketing work for a range of clients.
Somewhere in there, AI stopped being a curiosity and became the thing I build with every day. Now I use it the way I used to use a design brief or a sales pitch: to understand a problem completely and then ship something that solves it. That mix — knowing the business, having the taste, and being able to build — is the whole point.
I'm looking for a team building at the edge of applied AI, where being fluent in both the customer and the product is the job.