deepblog

When the Deal Pipeline Outgrows Email

A short list of deals feels manageable. Six months of short lists does not. Once we had a repeatable pipeline for finding potential real estate opportunities, the next question became obvious: Where should all those deals live? Our first version seemed simple. We sent customers an email notification with links...

How an Investment Thesis Becomes a Repeatable Deal-Sourcing Process

Every real estate search begins with a simple sentence: “Find properties in these markets that fit this thesis.” Everything underneath that sentence is messy. Every county publishes parcel data differently. Every municipality defines zoning and land use differently. Development capacity depends on local rules. Evidence that a property is actively...

Software Forces One Workflow. That Was the Problem.

Every investor finds arbitrage differently. That is the problem with traditional software. When we built Deepblocks PRO, we had the data investors needed. Parcel data. Zoning data. Demographics. Development potential. Market context. The idea was simple: put it all in software and let customers search. It worked. But only up...

The Work vs. the Judgment

Every real estate deal evaluation has two jobs. Only one of them should still be human. The first job is gathering. Pull the zoning. Find the comps. Review the rent rolls. Build the financials. Structure the assumptions. Turn the mess into something readable. The second job is judgment. Look at...

Nine Products. One Is for Sale.

We built nine products. Today, only one is sold as standalone software. That was not the plan. When we started Deepblocks, we were trying to solve every major question in real estate investment. We wanted to help investors, developers, brokers, and analysts move faster from raw information to confident decisions....

Building an AI Marketing Lab for Real Estate Technology

Why I Set Out to Build a Self-Correcting Marketing Lab I set out to build a self-correcting marketing lab. Deepblocks has a new deal flow infrastructure, and I wanted our network to know about it. The technology delivers on-market deals directly to real estate professionals based on their investment strategy....

When to Use AI Agents vs. Simple Automation in Real Estate Workflows

The Excitement Around Agentic Workflows I am excited about agentic workflows. But I also believe something I learned years ago at Singularity University still applies: Only use AI when it is absolutely necessary. That may sound strange in 2026, when everyone wants to build agents. But I think it matters...

How I Manage an AI Workforce Stack to Build Software as a Real Estate Expert

From Using AI to Managing an AI Workforce Today, I think less in terms of “using AI” and more in terms of managing an AI workforce. That does not mean the AI is autonomous in some magical way. It means I use different AI environments for different jobs, and my...

How Real Estate Experts Build AI Intuition by Getting Their Hands Dirty

Intuition Does Not Come From One Field My intuition did not come from one field. It came from moving between fields. I spent 11 years in architecture and real estate academia. I also worked across architecture, brokerage, construction, and development. That gave me one kind of intuition: how to look...

Why Market Intuition Matters More Than Coding When Building Real Estate AI Tools

The First Skill Is Not Coding When industry experts ask me what matters most when building with AI, I tell them two things. Impeccable documentation. And intuition. Not vague intuition. Market intuition. That distinction matters because AI has made the act of building easier, but it has not made judgment...

Why Real Estate Education Needs AI and Technical Literacy

AI Is Changing What It Means to Prepare Students for Work Every school will have to rethink what it means to prepare students for work. Not because every student needs to become a software engineer. Because every student will need to understand how to work with intelligent systems. That is...

How AI Coding Tools Are Turning Entry-Level Real Estate Experts Into Builders

AI Is Changing Who Gets to Build Software The future competitor to a software engineer may not be another software engineer. It may be a real estate student. It may be an architecture graduate. It may be an analyst who understands zoning, finance, feasibility, and AI tools well enough to...