About the Architect

I am Nicholas J. Gomez, a dedicated entrepreneur and the owner of Super Kleen Laundry in Lake City, Michigan. Alongside my wife and business partner, Rebecca Gomez, I operate a facility focused on delivering high-standard service through a lens of technical efficiency. My approach to the industry is driven by a commitment to precision and a belief that a modern laundromat should function as a well-architected system, where every operational layer is optimized for maximum performance.

My mission with AIforLaundromats.org is to lead the transition from reactive facility management to Precision Architecture. For many operators, the daily reality involves chasing utility spikes and managing manual, disjointed processes. Through this platform, I document how to move beyond those inefficiencies by implementing advanced AI tools, such as Gemini and NotebookLM, to build technical blueprints for automation. By identifying the "Magic Variables" of laundromat operations—such as granular utility filtering and automated customer service—I am developing systems that allow owners to regain control of their time and revenue.

At Super Kleen Laundry, Rebecca and I treat our facility as a live laboratory. This is where we conduct our "Lab Scenarios," such as the Washer Library experiment, to rigorously test the intersection of high-tech automation and commercial laundry operations. We do not deal in theory; we implement these AI-driven workflows in our own business to verify their impact on ROI and operational clarity. We are committed to providing fellow owners with the exact prompts and systems we use to maintain a professional-quality facility.

The goal of this platform is to provide a technical roadmap for the modern owner. Whether you are conducting your first utility audit or seeking to automate your entire service workflow, the content here is grounded in the daily realities of ownership. I am focused on documenting this process with total transparency, providing the industry with the architectural tools necessary to build a truly efficient, data-driven business.