Use case

Spec Book Decomposition for GC Bid Response

The problem

A 2,000-page spec book hits your desk with a 3-week bid deadline. Your estimating team needs to read every section, classify each one by trade, and build scope packages for subcontractor bidding. Manually, this takes days — and missed sections become change orders.

How TeraContext.AI handles it

  1. Upload the spec book PDF (even 2,000+ pages). Processing starts automatically.
  2. The AI pipeline extracts every spec section and classifies it against the industry-standard WBS format you bid against — 11 are supported, plus custom taxonomies.
  3. Each classification gets a confidence score. Your team reviews the results: bulk-confirm the 70–80% that are above 90% confidence, manually review edge cases.
  4. Approve the WBS, then auto-generate scope packages by division.
  5. Customize packages — move sections between trades, rename, split, or merge — then export as PDF, Word, CSV, or Markdown.
Review & Classify screen: WBS tree with section counts and a list of classifications, each with its code and confidence score
The result

Days of manual spec reading and classification compressed into hours. Every section accounted for. Trade-ready scope packages your subs can bid on immediately.

More pre-construction workflows

Sub bid solicitation & comparisonInvite subs, catch buried exclusions, and compare bids apples to apples. GC proposal assemblyCoverage matrix, gap analysis, narratives and compliance check — assembled in hours. Drawing set analysisEvery sheet indexed by discipline, with notes and keynotes searchable next to the specs. Multi-taxonomy classificationUFGS, PennDOT-408, DOE, FERC, EPRI — or clone and customize your own. Natural language spec queryAsk the spec book a question; get an answer with section and sheet citations.
Early Access program

See this workflow on your own documents

Bring a current RFP and we'll run it through the pipeline with your team.

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