AI Receptionist Agent
Built around a real front-door problem: missed calls, slow after-hours response, and the same questions over and over. It answers like a person, captures the lead, and never goes to voicemail.
Open case study →Each one started from a real problem. Together they show how I frame those problems, build the system that solves them, and ship the front-end that makes it usable.
Each one starts from a real operational problem and builds the workflow around the people who actually use it.
Built around a real front-door problem: missed calls, slow after-hours response, and the same questions over and over. It answers like a person, captures the lead, and never goes to voicemail.
Open case study →Turns a repetitive but sensitive task into consistent, on-brand replies that take the team almost no time to approve and post.
Open case study →Drafts service descriptions, organizes line items, and produces a quote the team can send in minutes instead of hours.
Open case study →Handles first-pass document triage and review so attorneys spend their time on judgment instead of repetitive reading.
Open case study →Watches account health, surfaces churn risk early, and tells the team who to call before a customer is gone.
Open case study →Turns a rough idea into a structured spec — requirements, edge cases, and clear next steps a team can build from.
Open case study →A live operations dashboard for HVAC owner-operators that brings job status, technician utilization, and revenue metrics into one place without spreadsheet sprawl.
Open project snapshot →A phone-first workflow for HVAC companies that answers incoming calls, books appointments, and handles routine FAQs so dispatch stays focused on active jobs.
Open project snapshot →Brand sites and booking flows I've designed and shipped — built for clarity, conversion, and a polished feel on every screen.
A premium, trust-heavy services site for companion care, concierge, and technology support along Florida’s 30A corridor. Strong example of audience split, service architecture, and polished intake UX.
Open site →A marketing and booking site for an autonomous litter-collection robot service. Good example of taking a novel concept and making it feel legible, commercial, and easy to act on.
Open site →A clean robotics integration and RaaS landing page for Middle Tennessee businesses, positioned around labor shortages, local support, and fast-scanning industry-specific solutions.
Open site →A live Polymarket weather arbitrage dashboard that compares market prices with NOAA forecast probabilities and highlights possible statistical edges without auto-execution.
Open site →A polished event-booking brand site for a premium watermelon vending concept. It shows playful identity design, fast-scanning mobile UX, and a conversion path built for real organizers.
Open site →A polished multifamily investment site built to communicate credibility, strategy, and investor fit with a more institutional tone and a cleaner information architecture.
Open site →A focused recruitment-style landing page for a kids fitness franchise opportunity, designed to make the business case easy to scan and the next step easy to take.
Open site →A hosted archive app for saving X bookmarks or a specific DM thread into a searchable research library with article capture, exports, and source-aware organization.
Open app →Most examples start from a concrete business bottleneck rather than from a generic “chat with your data” premise.
The interesting part is usually not the model call. It is how the workflow is shaped, constrained, and made usable.
AI work and web work side by side here, with the broader experiment set over in the Tech Lab when you want to dig deeper.
Start with these examples, then the resume, then the Tech Lab if you want to see how much I build just to learn.
The services and pricing pages are the quickest way to see whether it's worth a conversation.