I think something massive just happened in real estate AI this week, and most builders haven't connected the dots yet.
Zillow launched AI mode on March 25. BrokerBot dropped on March 27. McKinsey published their full agentic AI real estate playbook.
All in the same week.
Here's what BrokerBot is building that caught my attention:
BrokerBot is positioning itself as a brokerage-wide AI assistant designed to operate across systems, not just within a single system. The goal is to create a tool that behaves less like a chatbot and more like a digital team member, able to answer questions, execute tasks, and coordinate transactions from start to finish.
Sound familiar? That's exactly the architecture I'm building with Jake.
But here's what makes BrokerBot's approach technically interesting:
Rather than relying on a single large language model, BrokerBot uses an internal benchmarking system, dubbed BrokerBench, to evaluate how different AI models perform on real estate-specific tasks. Based on those results, the system routes tasks to whichever model performs best, rather than relying on a single general-purpose model for everything.
That's intelligent model routing. Not one brain, a panel of specialists, each used for what they're best at.
And McKinsey just confirmed this is exactly where the industry is heading:
Agentic AI is accelerating beyond previous applications of generative AI by automating multistep workflows inside core business systems, enabling humans to work in partnership with AI agents. The shift is from "help me understand" to "help me get it done."
The big question for the industry now moves from "What are the use cases for AI?" to "Which workflows should we redesign for agentic automation?"
That's the question every builder in this space should be asking right now.
Not "what can AI do?" but "which workflow do I redesign first?"
That's where the real opportunity lives.