🛠️ Tech Deep Dive

AI-Driven Takeoff Automation for PGC

Published: April 21, 2026 Type: Technical Implementation Guide Prepared by: Joe 🔧

Executive Summary The Problem

Every bid starts the same way — someone has to manually count window tags, read through 100-page specs, and translate that into a quote. That's hours of work before you can even think about price.

The opportunity: The AI tools to fix this exist. Most of them only solve one piece. This brief maps out all three layers you need to build a real autonomous takeoff system — and gives you three MVPs you can run this month with zero new software.

The "Takeoff Stack" — Three AI Layers You Need

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Layer A: Computer Vision (The "Eyes")

What it does: Scans blueprints to identify shapes and extract dimensions automatically.

Best Tool for PGC: Togal.AI — Built specifically for glazing and window contractors. Claims 97%+ accuracy on window counts.

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Layer B: Multimodal LLMs (The "Brain")

What it does: Reads the "fine print" — specifications, RFI logs, contract notes — and extracts structured requirements.

Best Tool for PGC: Gemini 1.5 Pro (via Google AI Studio, free tier) or Handoff.AI for project scoping.

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Layer C: Deterministic Logic (The "Calculator")

What it does: Takes the Count (from Layer A) and the Spec (from Layer B) and applies PGC's actual pricing, labor rates, and markup formulas.

Best Tool for PGC: Your own formulas in a Google Sheet or Handoff.AI pricing engine.

MVP 1: The "AI Spec-Sifter" ⭐ Start Here

Cost: Free | Timeline: 1-2 hours | Software: None (uses free Gemini API)

🎯 The Goal

Prove that AI can extract requirements from specs faster and more accurately than a human.

📋 What to Do

  1. Open https://ai.google.com/gemini-api (free tier, no setup)
  2. Upload one of your current project spec PDFs
  3. Ask it this prompt:
    "I am a glazing contractor. Read this document carefully. I need you to extract every specific requirement related to: (1) glass type/thickness per floor or elevation, (2) frame material and finish, (3) thermal performance ratings (U-factor, SHGC), (4) any hardware or anchor specifications. Format your answer as a structured checklist. Flag anything that seems contradictory between drawings and specs."
  4. Compare the output to what your team extracted manually.

💡 What You'll Learn

  • Where AI excels (speed, consistency)
  • Where it struggles (non-standard layouts, handwritten annotations)
  • Whether this alone saves you enough time to be worth it
✅ Success Metric: AI finds at least 1 requirement that would have been missed OR takes less than 25% of the time a human would spend.

MVP 2: The "Digital Counter"

Cost: Free trial (7 days) | Timeline: 30 minutes | Software: Togal.AI

🎯 The Goal

Eliminate the tedious click-counting of window tags on floor plans.

📋 What to Do

  1. Sign up for Togal.AI's 7-day free trial at https://www.togal.ai
  2. Upload a set of plans from one current project
  3. Use the "Image Search" feature to count all window tags (W1, W2, etc.)
  4. Export the count to Excel
  5. Compare to your manual count

💡 What You'll Learn

  • How accurate the AI count is on your specific drawing formats
  • Whether the exported data is structured enough to feed into your estimating process
  • If the time savings justifies the $299/user/month cost
✅ Success Metric: AI count within ±2% of manual count, exported in under 5 minutes.

MVP 3: The "Voice-to-Scope"

Cost: Free trial (7 days) | Timeline: 1 site visit | Software: Handoff.AI

🎯 The Goal

Turn a site walkthrough into a quote without re-typing notes back at the office.

📋 What to Do

  1. Sign up for Handoff.AI's 7-day free trial at https://www.handoff.ai
  2. During your next site visit, record a voice memo describing the scope
  3. Upload the audio (or transcript) into Handoff.AI
  4. Let it generate a structured scope and preliminary estimate

💡 What You'll Learn

  • How well voice transcription works for glazing terminology
  • Whether the output is close enough to your actual pricing to be useful
  • If this workflow saves meaningful time between site visit and quote delivery
✅ Success Metric: First draft quote generated in under 30 minutes from site visit.

🎯 Recommended Starting Point

Start with MVP 1 (AI Spec-Sifter) this week. It's free, requires zero new software, and will give you immediate insight into whether AI can meaningfully reduce your pre-bid workload. If it finds even one spec requirement your team missed, the ROI is proven.

Once you've validated MVP 1, move to MVP 2 (Togal.AI trial) to test the counting automation. Run both in parallel on the same project for maximum insight.