FLOW MVP

A starter web app for On Point Home Inspections LLC. This is designed as a phone-friendly inspection workflow app, not a full Spectora replacement yet.

Current features

• Dashboard for recent inspections
• New inspection setup
• Client and realtor records
• Quote calculator
• Report builder
• Observation / Implication / Recommendation findings
• Severity labels: Client Info, Recommendation, Safety Concern, Major Concern
• Finding status: Open, Monitor, Repaired/Addressed
• Template library
• Photo upload per finding using Supabase Storage
• Printable report view / Save as PDF through browser print

Tech stack

• Next.js
• React
• Tailwind CSS
• Supabase database
• Supabase Storage for photos

Setup

1. Install dependencies:

npm install

2. Create a Supabase project.

3. Open Supabase SQL Editor and run:

supabase/schema.sql

4. In Supabase Storage, create a public bucket named:

inspection-photos

5. Copy .env.example to .env.local and add your Supabase keys:

NEXT_PUBLIC_SUPABASE_URL=your-supabase-url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your-supabase-anon-key

6. Run the app:

npm run dev

7. Open:

http://localhost:3000

Important notes

This MVP uses simple public/demo-friendly Supabase access so you can test the workflow quickly. Before using it with real client data, add Supabase Auth, row-level security policies, backups, and production hosting security.

Suggested next build steps

1. Add login for Jeff/admin only.
2. Add report logo upload and branding controls.
3. Add agreements and e-signature tracking.
4. Add payment tracking or Stripe checkout.
5. Add radon, mold, and water-testing modules.
6. Add shareable client report links.

AI Assist Upgrade

This version adds an AI layer for inspection reporting:

• AI Comment Assist inside the Report Builder
• AI Photo Review for existing finding photos
• AI Capture page that lets you take/upload a defect photo and automatically creates a finding in the suggested report section
• Human review step before publishing; AI output should be verified by the inspector

Required AI Setup

Add this to .env.local:

OPENAI_API_KEY=your_openai_api_key

Then install dependencies and run the app:

npm install
npm run dev

Supabase Storage Requirement

Create a public Supabase Storage bucket named:

inspection-photos

The AI photo review uses the public image URL so the image can be evaluated.

Important Inspection Disclaimer

AI-generated comments and photo evaluations are drafting tools only. The inspector must verify the defect, section placement, severity, and wording before the report is published.