Use case

Natural Language Spec Query

The problem

During estimation, your team has dozens of quick questions: "What are the concrete PSI requirements for footings?" "What fire-rated assemblies are required?" "What type of insulation is specified?" Each question means searching through hundreds of pages.

How TeraContext.AI handles it

  1. Open the Spec/Drawing Query tab and ask a question in plain English. Conversations are saved, so you can come back to a thread.
  2. Pick an answer mode that trades speed for depth: Quick (about 30 seconds) for lookups, Standard (about 60 seconds) for most requirements questions, Extended (about 2 minutes) for exhaustive extraction across many sections, or Review (3–4 minutes) for deep constructability analysis of a single question.
  3. Scope the search to specs, drawings, or both — and to a single discipline if you want.
  4. Every answer comes with source citations — spec section codes, drawing numbers, and page references — so you can check the original.
Spec query answering 'What are the concrete strength requirements?' with values from structural sheets and spec sections, citing 25 sources
The result

Answers with citations instead of manual page-flipping. Your estimators check the cited section or sheet instead of hunting for it.

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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