DCE document consistency check with ChatGPT: method and checks
Compare drawings, CCTP, DPGF and CCAP in a source-linked discrepancy register.
By Educasium
Install the ChatGPT skill: DCE document consistency check →
Compare drawings, CCTP, DPGF and CCAP in a source-linked discrepancy register.
Prepare the documents
Named tender documents, revisions and dates, trade codes and available measurement evidence.
Name files with dates and revision IDs. Identify approved documents and templates. The pack supplies a method; project facts must come from your documents.
Organize the work with ChatGPT
Inventory revisions first. Map trade, element, CCTP article, DPGF item and drawing reference. For each discrepancy request two precise references, a possible consequence and a proposed correction. Separate confirmed anomalies from unverifiable points.
A fictional example to test
Fictional example: drawing P02 revision B shows a 90 cm door while CCTP article 4.2 specifies 83 cm. Record a referenced discrepancy; do not pick the correct dimension or change source files.
Review the deliverable
Review both sources for each discrepancy and actual review coverage. Finding no discrepancies does not show that all documents were checked.
Request the editable file, open it and compare it with sources before approval. File creation depends on tools available in your session. This pack uses French instructions and deliverables; the linked skill page explains importing it and includes a copyable request.