01 · Cross-sheet conflicts
Conflicts that only exist between pages become checkable: plan against detail, detail against schedule, schedule against spec and code.
- Across sheets and disciplines
- Across drawings, specs, checklists, and code sources
How Groundbook AI reads a set
Findings that read the whole set, not one page at a time.
The Groundbook AI knowledge graph is a map of everything in a construction document set and how it connects. Every callout, detail, schedule row, plan label, and code section is tied to the spot where it is printed and linked to the things it refers to on other sheets. Groundbook AI builds this graph first, then reviews the set as a whole—which is how it catches the conflicts that never appear on the same page.
The problem
The detail is on one sheet. The schedule is on another. The note that changes both is on a third, and the spec section that governs all of them is in a different document entirely.
Most review tools read a page at a time. A page-by-page reader can check what sits on the same sheet, but the expensive errors rarely do: the plan that disagrees with its detail, the detail that disagrees with the schedule, the schedule row that quietly contradicts the spec or the code. Those conflicts live between pages, so a page at a time is exactly the wrong unit of review.
The graph
Groundbook AI reads the set the way it was designed: as one connected thing. Every callout, detail, schedule row, plan label, and code section becomes part of a knowledge graph, with two kinds of connection:
The review then runs over the graph, not the pages. Anything connected can be checked against everything it is connected to: plan against detail, detail against schedule, schedule against spec and code. When a finding depends on two drawings of the same place lining up, it comes with a drawing overlay.
What changes
Conflicts that only exist between pages become checkable: plan against detail, detail against schedule, schedule against spec and code.
Each finding highlights the words and shapes it is based on, on every sheet involved. No "see elsewhere."
Related symptoms are grouped, so one fix clears them all. Not twenty comments about the same mistake.
Because the graph knows what is in the set, you can see what was reviewed—and what was not.
A second independent pass tries to disprove each finding before it reaches you.
Your reviewers' accept and reject decisions sharpen the next check.
Search, done for you
Teams ask for AI document search because the question is usually "where else does this appear?" A door tag, a level, an equipment mark, a spec section: the answer is spread across sheets, schedules, and the project manual. The knowledge graph is that search, run once over the whole set and kept.
The difference from a search box is what comes back. A query returns every place a term appears. A finding returns the places that disagree, with the exact words and shapes on each sheet highlighted, so the review reads as a list of questions to settle rather than a list of hits to open. The sources sit beside each finding, in context, for the reviewer to confirm.
AI-assisted, professional-led
The graph organizes the set and the findings organize the questions. Architects, engineers, contractors, owners, code officials, and authorities having jurisdiction retain every professional decision.
Keep reading
Questions, answered
A map of everything in a construction document set and how it connects: every callout, detail, schedule row, plan label, and code section, tied to the spot where it is printed and linked to the things it refers to on other sheets and in other documents. Groundbook AI builds this graph before it reviews anything.
A page-by-page review can only compare what sits on the same page. Most costly document errors live between pages: a plan that disagrees with a detail, a detail that disagrees with a schedule, a schedule row that conflicts with a spec section or a code requirement. Reviewing the graph makes those cross-sheet relationships checkable.
One finding per root cause. It names the problem, shows the exact words and shapes it is based on, highlighted on every sheet involved, and states the correction that resolves it. Related symptoms are grouped under the same finding, so one fix clears them all.
Yes. Every finding is challenged by a second independent pass before it is published, and your reviewers' accept and reject decisions sharpen the next check.
Every finding is a search result across the set: it names the sheets, schedule rows, specification sections, and code sections involved and links to each one. The review runs the cross-document search for you and returns the disagreements it finds, rather than waiting for a query. Sources are shown beside each finding so the reviewer can read them in context.
No. The graph organizes the set and the findings organize the questions. Design, engineering, code, and construction decisions remain with the responsible professionals and the authority having jurisdiction.
Related examples and workflows
Define a bounded archive-search pilot with approved sources and verifiable answers.
Set up a review yourself, or book time to talk through your project.
Put the knowledge graph to work on your set
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