How It Works
Three steps. No paperwork.
Stop quoting jobs at your desk at midnight. Do it from the jobsite in the time it takes to walk the project.
Snap the jobsite
Walk the project and take photos of everything being built, repaired, or inspected — framing, fixtures, damage, finishes, any trade.
AI builds the estimate
WolfWright Propose reads the photos, identifies the scope, and generates itemized line items with material quantities, unit pricing, and labor hours.
Export & send the PDF
Review and fine-tune anything you want, then export a clean, branded proposal PDF — ready to send the customer before you leave the driveway.
What's Inside
Everything a proposal needs, generated for you
Photo-to-estimate AI
Computer-vision reads your jobsite photos and translates what it sees into a real, itemized scope of work.
Material take-offs
Quantities and unit costs for the materials the job actually needs — no manual counting.
Labor estimation
Suggested labor hours and rates per task, rolled into the proposal automatically.
Editable before you send
Adjust quantities, prices, or wording in seconds — you stay in full control of the final number.
Branded PDF export
Clean, professional proposals customers take seriously — exported with one tap.
Who It's For
If you quote jobs, this saves your evenings
Any contractor or inspector who walks a site and writes up an estimate after.
FAQ
Quick answers
Do I have to use the prices the AI suggests?
No. Every line item, quantity, and price is fully editable before you export. The AI gives you a strong starting point — you set the final number.
What kind of jobs does it work for?
Any trade where you walk a site and estimate the work — remodels, framing, roofing, paint, plumbing, HVAC, electrical, inspections, and more.
What do I send the customer?
A clean, branded PDF proposal with itemized materials, labor, and totals — generated with one tap, ready to send on the spot.
Where does it run?
WolfWright Propose is a web app at propose.wolfxm.com — works right in your phone or tablet browser on the jobsite. Backend runs on Supabase + Vercel.
