deepblog

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...

Why AI Coding Tools Are Putting Context-Free Engineering Under Pressure

From Coding Productivity to Engineering Anxiety The first reaction to AI coding tools was excitement. Engineers could move faster. Bugs could be fixed sooner. Prototypes could be built in days instead of weeks. The early promise was simple: AI would make software teams more productive. Then the second reaction arrived....

How AI Coding Tools Are Changing Real Estate Software Development

In 2025, AI became much more than a chat window in my workflow. For a long time, using AI for software felt like asking a question, copying a code snippet, pasting it somewhere else, and hoping it worked. That was useful, but it was still disconnected from the actual build...