Free PDF · Tradie Edition

The AI Joinery Quoting
Calibration Guide

5 inputs that fix Claude's $15,600 mistake. Paste this file before every quoting session and Claude quotes like a tradie — not a chatbot.

Instant download PDF format Single page A4 No signup required
↓ Download Free PDF Read: AI for tradies →

Free. No email required. Updated as the numbers change.

AI tools default to retail pricing, retail labour rates, and custom-build benchmarks. None of those are your numbers. This guide gives Claude the five inputs it needs to quote accurately — and explains exactly why each one matters.

01
Labour Cost Rate
Use your blended cost: $65–$75/hr (owner + apprentice on the job). Never feed Claude your charge-out rate — $95/hr is your sell price, not your cost. Charge-out belongs in your margin, not the labour line.
Most common error
02
Spray Finish Rate
Use $130–$160/m² trade rate. Count sprayable face area only: doors, visible end panels, bulkhead facings, drawer fronts. Carcass internals are white melamine — they are never sprayed, zero cost.
03
Sheet Pricing
HMR board: $65–$75/sheet trade. MDF: $65–$75/sheet trade. Claude pulls retail from online. No trade account yet? Deduct 20–25% from hardware store pricing as a working estimate.
04
Hours Benchmarks
Raked/slanted ceiling scribing: 3–4 hrs added, not 8–10. Production drawer boxes: 30–40 min each, installed. Repeatable standard runs are 15–20% faster than one-offs — tell Claude which build type before it counts hours.
05
Margin by Job Type
Competitive tender: 28–32%. Standard quote: 32–35%. Premium/complex: 35–40%. Never apply maximum margin on a job you need to win.

How to use this file: Copy the text from the PDF and paste it at the top of your Claude conversation — before your job brief. Claude reads it as context and applies your real numbers to every calculation. Update the figures as your costs change.

  • Joiners and cabinet makers quoting with Claude or ChatGPT
  • Anyone who's had AI return a wildly wrong labour or materials figure
  • Trade businesses building their first AI quoting workflow
  • Apprentices learning to cross-check AI output against real trade numbers