Screen development sites and test returns with site analytics software
Zoning intelligence tools find development sites and model returns.
Owner · Owner & development · Deepblocks
Content updated · Tool links listed below; vendor features and pricing change, so confirm with the vendor
Short answer
Use ChatGPT or Claude: The AI builds the due-diligence checklist and drafts questions for the municipality. Zoning intelligence tools find development sites and model returns. A person still checks: zoning and approvals with the municipality.
AI tie-in
Tool: ChatGPT or Claude
The AI builds the due-diligence checklist and drafts questions for the municipality.
Prompt 1
Build a due diligence checklist for an infill [product type] site: zoning, utilities, environmental, geotech, title, approvals. Add questions to ask the planning department.
Human check: Zoning and approvals with the municipality.
The problem
Find buildable development sites and test returns. This is a common, time-consuming task for a owner.
What this workflow does
Zoning intelligence tools find development sites and model returns.
How it works: AI drafts or analyzes. A person operates the tools, checks the work, and takes action.
Your checkpoint: Zoning data needs confirmation with the municipality.
Before you start
- Access to the named tool; confirm license, version and cost with the vendor.
- A small, non-confidential sample to try the workflow on first.
- A qualified person to review the output before it is used.
Tools and access
Follow the steps
- Pick the city and target product.
- Filter sites by zoning and size.
- Model yield and returns.
- Shortlist for due diligence.
Try a small example
Replace the bracketed fields with your own project details. No tested sample run is published for this workflow yet.
Sample input
Fill in the bracketed [fields] in the text below with your project data.
Starter prompt
Build a due diligence checklist for an infill multifamily site: zoning, utilities, environmental, geotech, title, and approvals.
Expected output
Not published yet. Treat any output as a draft and check it against the source documents.
Check the result
- Every value, citation or quantity traces back to a source document.
- Missing information is marked as missing, not filled in.
Limits and recovery
- Zoning data needs confirmation with the municipality.
- Check your organization’s data policy before sharing project files with third-party tools.
Stop or switch when: The source cannot be verified, permissions are missing, or the result contains unsupported facts.
Frequently asked questions
How does AI help with this?
ChatGPT or Claude: The AI builds the due-diligence checklist and drafts questions for the municipality. A person still checks: Zoning and approvals with the municipality.
How do I screen development sites and test returns with site analytics software?
Pick the city and target product. Filter sites by zoning and size. Model yield and returns. The full step list is above.
Does this use an AI agent or regular software?
It is labeled AI assists: AI drafts or analyzes. A person operates the tools, checks the work, and takes action.
What tools do I need?
Deepblocks. Confirm license, version and cost with the vendor, and try it on a small non-confidential sample first.
Has this workflow been tested?
Workflow guide · not independently tested. It is written from vendor documentation and practitioner use.
Evidence and maintenance
Written from vendor documentation and practitioner use. Labels apply to the steps described here, not every feature of a product. Links were checked when the page was written.