Client sends me one photo of their master bathroom. We have a 15-minute phone call about scope — new tile, vanity, toilet, lighting, the usual. Nothing fancy.
Before I hang up, I tell Jarvis: "Draft the bathroom remodel contract. Photo is in my phone, verbal scope from the call."
Twenty minutes later, I'm reviewing a complete contract packet:
- Detailed scope of work — 8 sections, specific to his space
- Material selections list — tile, vanity, fixtures with model numbers
- Draw schedule — 4 payments tied to completion milestones
- Contract ready to sign — total price, start date, estimated completion
Used to take me an entire evening at the kitchen table. Done in minutes.
How It Actually Works
Jarvis pulled from three sources to build this:
- The photo — analyzed the existing layout, fixtures, dimensions from reference objects
- Call transcript — Plaud recorder captured our conversation, AI extracted the actual requirements
- Historical pricing data — my JobTread database of similar bathroom remodels
It matched his space to comparable jobs I'd done, adjusted for square footage and finish level, then built the contract using my standard templates.
The result: A professional estimate that would have taken me 3-4 hours to research and write. Generated in the time it took me to grab coffee.
What This Really Means
I can now quote jobs faster than my competition. While they're going home to "work up an estimate" and getting back to the client in 3-5 days, I'm sending a detailed proposal that same evening.
Speed wins in residential remodeling. Homeowners make emotional buying decisions. If you can give them what they want to see while the excitement is still hot — before they call three other contractors — you get the job.
But Here's What Changed Everything
The real breakthrough wasn't the speed. It was the accuracy.
When I manually estimate bathroom remodels, I'm drawing from memory. "What did I charge for that similar job last year?" "How much did that vanity cost?" "What was my labor rate on tile work?"
Jarvis pulls the actual numbers from completed jobs. Real costs, real margins, real timelines. Not what I think I remember — what actually happened.
Why This Changes the Game
The point isn't that AI wrote a perfect contract. I still review everything before it goes out. The point is that the first draft — the tedious part where you're pulling numbers, formatting documents, cross-referencing selections — that part is done for me.
I go from "I need to sit down tonight and put this together" to "let me review what's already built and make adjustments." That's a fundamentally different evening.
When your estimates are built from real job data instead of gut feeling, they're just more accurate. And when they're ready the same day instead of three days later, you're not losing the client to the contractor who got back to them first.
What's Next
The goal isn't to replace thinking. It's to eliminate the tedious parts so I can focus on design, problem-solving, and actually building stuff.