In this video, we explore how to integrate AI tools like ChatGPT into your preliminary civil engineering workflow. Watch step-by-step as we take a commercial property flyer from LoopNet and use AI to conduct research for a Site Investigation Report (SIR)—gathering parcel IDs, zoning data, setbacks, and landscape buffer requirements from local municipal codes. We’ll also generate GIS boundary DXF files, import and coordinate them in Civil 3D with aerial imagery, rank potential land uses, and export an initial site layout concept directly into CAD.

Key Topics Covered:

Commercial real estate research & property flyers
Automated Site Investigation Reports (SIR) using AI
Researching local zoning ordinances & Municode requirements
Exporting GIS boundary lines to DXF and setting coordinate systems in Civil 3D
Testing commercial site layouts and layer setups in CAD

Timestamps
00:00 – Finding a Commercial Site on LoopNet
01:45 – Reviewing Master Plans & Commercial Property Flyers
05:07 – Evaluating Site Traffic & Surrounding Anchors
07:22 – What is a Site Investigation Report (SIR)?
08:30 – Using AI to Extract Parcel Data & GIS Boundaries
13:42 – Building an Ongoing Site Investigation Report
16:33 – Researching Setbacks & Landscape Buffers via Municode
21:50 – Exporting GIS Property Lines to DXF for CAD
23:10 – Setting Coordinate Systems & Aerials in Civil 3D
25:00 – Generating & Ranking Potential Land Uses
28:00 – Updating the Living SIR Document
33:10 – Generating a Preliminary Site Plan Concept
35:35 – Importing the AI Site Concept DXF into Civil 3D