How accurate are AI-generated estimates and how should I validate them on-site?
AI-generated estimates are draft-level outputs that speed drafting. Validate every estimate by verifying field measurements, confirming local material prices and lead times with suppliers, and adjusting labor hours to your crew’s productivity. Use the assistant’s takeoff outputs as a structured starting point, then run a quick on-site checklist: confirm key dimensions, review waste allowance, and update any conditions that affect scope (hidden damage, access restrictions).
Can I use AI-written proposals and contracts with clients—what should I review legally?
Use AI-written proposals as client-facing drafts. They are useful for scope, timeline, and cost clarity, but they don’t replace legal review. Before sending contract language, have your standard terms reviewed by counsel or adapt them to your existing contract templates and local law. The templates include general warranty and signature sections but are not legal advice.
How do I convert photos and measurements into materials lists with prompts?
Capture clear photos with annotated notes or a short caption (e.g., 'east wall, 12 ft run, studs at 16" O.C.'). Paste measurements or a simple spreadsheet of lengths into the Materials Takeoff prompt and include a waste percentage. The assistant returns SKU-style descriptions and quantities you can paste into supplier emails or a spreadsheet for ordering.
What templates are best for safety checklists and field documentation?
Use the Safety & Inspection Checklist templates for pre-installation, daily site checks, and final inspections. They produce short, printable lists with PPE, inspection items, and sign-off lines. These templates reference common safety topics and inspection steps—always follow your site-specific safety plan and applicable regulations.
How to optimize service pages and local SEO content for a carpentry business?
Include city or service-area references in prompts, list specific services (e.g., crown, baseboard, door casings), and add local trust signals like trade focus, project types, and homeowner-friendly CTAs. Combine the generated page text with your Google Business Profile and review snippets to improve local relevance.
Does the assistant support trade-specific terminology like 'crown back-bevel' or 'spline joints'?
Yes—the prompt library contains carpentry-specific phrasing. If a job uses specialized terms, include them in your prompt and the assistant will use the terminology in outputs. When precise engineering or code-level detail is required, supplement prompts with manufacturer instructions or local code excerpts.
How to onboard crew to use the tool for daily reports and change orders?
Start with short, role-specific prompts: a one-line daily report template for crew leads and a clear change-order prompt for supervisors. Train crews to capture the same fields (date, job, issue, proposed fix, hours) and paste them into the prompt. Keep a short reference sheet with example prompts and expected outputs for quick adoption.
What data sources should I provide for the best outputs?
Provide annotated photos, measurement lists or spreadsheets, supplier product lists, and any existing proposal or contract templates. The assistant uses structured inputs to produce cleaner, supplier-ready and client-ready outputs.
How does the assistant handle regional variations in building codes and permit language?
The assistant can reference local building-code language only if you provide relevant excerpts or links. Include municipal permit guides or code snippets in your prompt to generate text tailored to regional requirements. Always validate code-related items with the local authority having jurisdiction.
What export formats are available for proposals, checklists, and job notes?
Outputs are formatted for easy copy-and-paste into PDFs, email clients, spreadsheets, or your existing CRM. Use your preferred document or PDF tool to finalize branding and export. Materials lists can be pasted into spreadsheets or converted to CSV in your editor.