Professional painters are experts at their craft, but they are often trapped in "Admin Hell." Traditional quoting happens at midnight after a full day on-site, leading to delayed proposals and lost leads.

I was the Lead Architect to build a Voice-driven & high-performance solution that generates professional proposals before the contractor even leaves the driveway.

Instead of building a simple form, I architected a system that makes the technology invisible.

Intelligent Voice Parsing: Integrated Gemini 1.5 Flash to transform unstructured voice notes into precise, structured line items with zero manual entry.

Automated Calculation Layer: Engineered a backend logic that cross-references extracted job data with a personalized Price Catalog for instant, accurate cost projections.

Mobile-First Performance: Utilized Zustand and TanStack Query to ensure a fluid, responsive experience even on job sites with unreliable signals.

The goal was to make the complexity disappear. The contractor talks, the AI listens, and the client receives a branded PDF before the initial walkthrough is even over.

I chose a stack that prioritizes speed of deployment and high-end security:

Frontend: Next.js 16.1.6 & Tailwind CSS (Optimized for mobile web)

Backend: Firebase (Firestore for real-time sync, Auth, and Storage)

AI Logic: Google Gemini 1.5 Flash (Processing unstructured data)

Document Pipeline: Custom server-side PDF generation for branded proposals.

Reliability: Implemented Vitest to unit-test the complex AI parsing logic and ensure data integrity.

PainterFlow AI is currently in an active beta phase.

70% Reduction in time-to-quote for beta users.

Zero Manual Data Entry for standard job descriptions.

Immediate Professionalism: Contractors now provide high-end, branded PDFs instantly, significantly increasing their lead conversion rate.

Real-time Field Estimation via AI

Instant Professional PDF Delivery

Real-time Cloud-Synced Quote Tracking