pro
Eric Moore
I build AI systems that turn expertise into revenue
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Eric is ready for their next project!
I built a full cinematic brand site for a made-up dental consulting company. Total AI generation spend: about $23.
I wanted to see how far the ceiling has actually moved. So I picked a vertical I work in (independent dental implant practices), invented a brand called Northline, and gave it the kind of launch film a studio would quote five figures for.
Two pieces.
A 73-second cinematic flythrough. The camera dives through a clay-diorama version of the whole practice, from reception to the operatory to follow-up, tracing one copper path that stands in for demand moving through the business.
A scrolling site where that same footage is wired to your scroll. Scroll down and the film moves forward, scroll up and it runs back. You are the play head.
How it was made.
Stills: GPT Image 2 for six 4K scenes. About $0.56.
Motion: Seedance 2.0 turned each still into an 8-second shot. About $22.
The part that sells it: between every scene there is a connector clip generated from the actual last frame of the shot before it and the first frame of the shot after. So the camera never cuts or teleports. It reads as one continuous move through the whole world.
What the AI did not do: decide it should be a clay miniature, hold the same five characters and the copper path consistent across all six scenes, or map the video timeline to scroll position. That is still a human job, and it is most of the work.
The thing that stuck with me: a local service business can now have a genuinely premium brand film and an interactive site for the price of lunch and an afternoon. The generators are a commodity now. Knowing what to build and keeping the world coherent across shots is where the value actually sits.
Concept build, no real client. Best on desktop.
https://northline-practice-growth.vercel.app
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Rebuilt the website for The Healing Journey, a licensed counseling practice. Here's the hero, before and after.
Their old site was costing them clients.
The before: a stock beach photo, a headline that could belong to any therapist, a logo you had to squint at. A nervous first-time client landed there and felt nothing.
The after: a headline that sounds like a person, one clear path down the page, one obvious next step to book a consultation.
No Figma, no templates. I built an operating system for website rebuilds: GPT Image 2 and Reve set the art direction, my pipeline decodes it into layers, then it gets hand-coded section by section and QA'd against the design. Image to code, without the AI-template look.
Left is what was costing them inquiries. Right is what greets people now.
Slide it yourself 👉 authorityread.com/healing-journey
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CatchUp, a cross-platform group scheduling app (client prototype): a React Native organizer app plus a zero-install PWA that guests open straight from an SMS link, both running on one Convex real-time backend. Group convergence runs through a 5-stage weighted scoring engine that blends availability, priorities, time-of-day preferences, and live penalties for bad weather and travel distance. Also in there: a from-scratch WCAG accessibility harness and 157 test files. The live demo is the organizer app with the backend deliberately disconnected.
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The Healing Journey, a site rebuild for Lynne Kelly's therapy practice, live at thehjcc.com. Migrated a legacy WordPress brochure site to a fast hand-built static site: a 17-page service-in-city network across three cities, full JSON-LD schema, and a privacy-conscious contact flow built for a trust-sensitive clinical practice. Then I measured its AI visibility with a real ChatGPT citation probe: cited on branded queries, not yet on unbranded ones, diagnosed as an off-site corroboration gap. The practice reports roughly 15% more bookings and 20% higher rates since launch (practice-reported).
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Airtight Revenue, an AI voice receptionist for HVAC shops that answers missed calls, triages emergencies, and texts a booking link. Built on Retell with GPT-4.1 Mini. The part I am proudest of: it is tested like a product. A 43-scenario behavioral QA suite covers core flows, compliance, adversarial jailbreak attempts, and Spanish calls, scored by an LLM judge. Any emergency-scenario failure blocks deploy. The AI-disclosure first line is hardcoded because compliance law is not a place for creativity.
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DecideNorth, a couples marriage-readiness assessment, live at decidenorth.com (https://decidenorth.com) (client engagement). The scoring is deterministic on purpose: 8 relationship dimensions and a 4-rule blind-spot engine, all pure explainable math grounded in published research. AI touches exactly one surface, a personalized audio teaser, behind a validation gate and a daily cost cap. Next.js, Supabase, Stripe, Trigger.dev. The judgment call: give AI the surface that earns it, nothing more.
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CompanionWise, an AI companion safety review platform (client engagement). I built the scoring system behind 140+ live pages: a 3-model panel (Gemini, GPT, Qwen) scores 23 safety sub-dimensions in parallel, disagreements get flagged for editorial review, and a deterministic engine computes every published grade with critical-dimension floors and a full audit log. The panel proposes; the engine decides.
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