Research, analysis, and perspectives on the built world.
Capital stack modeling in development deals, covering senior debt, mezz, preferred equity, and JV waterfall structures, has always been a time-intensive analytical process. This post breaks down what AI can automate (scenario modeling, sensitivity tables, term sheet comparison) and where human judgment is irreplaceable (lender relationships, promote negotiation, market reading).
April 8, 2026 ·6 min read
Construction draw management is one of the most process-heavy workflows in development, requiring monthly reconciliation of contractor pay applications, lien waivers, and budget variances across active projects. This post breaks down where AI compresses the administrative layer, what remains judgment-dependent, and how teams are deploying it at portfolio scale.
April 7, 2026 ·4 min read
Permitting delays are one of the most controllable risks in real estate development and one of the least systematically managed. This piece breaks down where approval timeline delays actually come from and how AI-powered permit tracking automates status monitoring, dependency mapping, and escalation so development teams stop managing critical path by email.
April 6, 2026 ·4 min read
Capital markets in real estate development covers the debt and equity instruments that finance projects from land acquisition through stabilization. This guide walks through the capital stack, key debt and equity structures, JV waterfall mechanics, and the specific workflows where AI is compressing timelines for institutional development teams.
April 5, 2026 ·5 min read
Real estate workflow automation in 2026 is less about technology and more about identifying which workflows justify it. Development teams automating site selection, due diligence and underwriting are closing deals faster and presenting to investment committees with better-supported assumptions.
April 4, 2026 ·5 min read
Real estate marketing automation covers contact management, outreach campaigns, and performance reporting. AI compresses the operational overhead between strategy and execution, letting development teams run pre-leasing campaigns, investor communications, and land acquisition outreach at scale without manual intervention at each step.
April 4, 2026 ·4 min read
Underwriting is where development deals live or die. This guide covers revenue assumptions, cost structure, returns analysis, debt sizing, and sensitivity testing -- the full workflow institutional development teams use before committing capital, including where AI is compressing the research phase.
April 2, 2026 ·4 min read
Site selection decisions fail when critical data layers are incomplete or assembled too slowly. This guide covers the six data categories every development team needs -- power availability, zoning, environmental risk, transportation, market demand, and parcel ownership -- with specific sources and flags for each. Includes how AI-assisted workflows are changing the assembly process.
April 1, 2026 ·5 min read
A practical due diligence checklist for institutional real estate developers, covering physical, legal, financial and environmental workstreams. Explains what AI can automate in each phase and where human judgment remains non-negotiable. Includes a sequencing guide for the typical 30-to-60-day DD window.
March 31, 2026 ·5 min read