Adapt or Die: The Love Affair with AI
AI is no longer experimental. It is becoming the operating system for business. Those who act now will define the playbook. Everyone else will follow it.
I spoke with Victor Lund, who co-founded WAV Group with with his wife, Marilyn Wilson. I had the chance to collaborate with her on a Realtor.com webinar. We had a lot of fun. Their firm specializes in strategy, technology, research, marketing, and product development for real estate technologies. They also design exit strategies and invest as angel operators when the fit is right. Their impact on the industry is unmatched.
Victor shared a whitepaper every MLS leader should read:
Why Every MLS Needs to Understand MCP Servers Before Someone Builds One Without You.
His message was clear:
Static vs. dynamic data.
RAG vs. MCP.
RAG answers questions from static content. Real estate operates on live workflows, regulatory checks, and real-time data. MCP makes that orchestration possible.
Two Takeaways
AI adoption is moving faster than any previous platform shift, including mobile and cloud.
AI is no longer a tool. It is the backbone of transformation.
What MCP Does
MCP acts as the universal adapter for AI agents. It connects systems, enforces compliance, and enables real-time orchestration. The highest value comes from Tier-3 AI, where automation knows its limits and escalates to humans for novel or high-risk decisions.
What We Can Logically Infer Are Either Risks or Opportunities for Innovators in Proptech
1. Integration Friction
Legacy systems depend on costly, custom integrations. MCP eliminates this by creating a universal adapter for AI and tools, reducing complexity and time-to-market.
2. Static Data Thinking
Organizations that treat data as static will fall behind. MCP enables dynamic data flow and real-time orchestration, powering intelligent workflows and adaptive services.
3. Manual Compliance
Manual compliance processes are slow and error-prone. MCP allows AI to run continuous monitoring, flag anomalies instantly, and escalate critical cases for human review.
4. Search Is Dead: Answers Are the New Standard
Generic MLS-driven search experiences are outdated. Consumers no longer want to search; they want answers. MCP enables AI to deliver contextual, conversational results. Instead of filters and forms, buyers get precise answers like:
“Show me three homes within 15 minutes of work, under $800K, with a backyard and solar panels.”
“What neighborhoods fit my budget and school preferences?”
This shift moves MLS platforms from static listings to interactive, AI-powered conversations.
5. Rigid Business Models
MLS models tied to static data distribution are at risk. MCP enables new revenue opportunities such as API-as-a-service, premium AI-powered tools, and real-time analytics subscriptions.
This led me down a rabbit hole. ENJOY 😁 👇
From Simple to Advanced: 8 AI Agent Architectures
1. AI Agent Using Tools
One agent plans and executes tasks like sending emails or scheduling events.
Courtesy of @tuvangiadapai
2. Mixing Tools with MCP Servers
MCP servers connect apps and tools into a single framework.
Courtesy of @tuvangiadapai
3. Agentic Workflow with a Router
Logic-based routing allows conditional workflows.
Courtesy of @tuvangiadapai
4. AI Agent with Human in the Loop
Approval steps for compliance and high-stakes actions.
Courtesy of @tuvangiadapai
5. Sequential AI Agents
Agents work in sequence to handle multi-step workflows.
Courtesy of @tuvangiadapai
6. Hierarchy with Parallel Execution
Multiple agents run tasks simultaneously using shared tools.
Courtesy of @tuvangiadapai
7. Dynamic Agent Calls
An agent autonomously decides when to call another agent.
Courtesy of @tuvangiadapai
Agents perform searches in parallel, then merge data.
Courtesy of @tuvangiadapai
Why This Matters
MCP is the trust architecture for AI at scale. It enables AI systems to operate securely and predictably across fragmented environments. Tier-3 AI adds resilience, ensuring automation works where possible and escalates when human oversight is essential. Together, they provide three critical advantages:
Compliance: Guardrails are embedded in workflows, reducing regulatory and operational risk.
Human Judgment: High-risk or complex cases escalate to experts, preserving accountability and decision quality.
Continuous Improvement: Every human intervention feeds back into the system, making automation smarter and more reliable over time.
For MLS leaders, this is not optional. The first MCP server built for real estate will determine how data moves, how compliance is enforced, and how new services come to market. Whoever owns that architecture will control innovation and integration.
If you are not in that room, someone else will be—and they will define the future of your business.
xoxo,
Maximillian Diez
General Partner, Twenty Five Ventures
P.S. Stay with me on this journey.
If nothing else, thanks for reading.
