Matthews Real Estate: From Legacy Tools to AI-First Brokerage
How a high-growth commercial brokerage put AI in the hands ofevery team — without touching their engineering backlog.
agents served by apps
built onSuperblocks
departments buildingtheir own tools
days to build
production apps
dedicated engineering
involvement needed
offering memorandum turnaround (was 3–5 days)
"Superblocks gives us the ability to democratize development across the enterprise while maintaining central governance. We don't have any shadow IT work happening."
Building for a high-growth brokerage without slowing it down
Matthews adds roughly 150 new brokers every year. Scaling through headcount alone wasn't going to work - and consumer AI tools couldn't connect to real data, sit inside their VPC, or meet the governance requirements of an enterprise brokerage.
The people who understood the problems — marketing managers, finance analysts, a newly-hired AI process engineer — just needed the right platform to build their own solutions, without waiting on a central engineering team.
"Where Superblocks differs significantly from other vibe-code solutions is its ability to operate within our own ecosystem — putting it directly on our data, inside our own VPC, secure and governed. The others just couldn't do that."
The team saw a clear opening: the people closest to operations (hotel ops, fleet captains, port analysts) understood the problems deeply. They just needed a way to build solutions without waiting on traditional dev cycles. Superblocks gave them that path.
Business experts become app builders
Matthews kicked off with a two-day hackathon at their Scottsdale headquarters. The team built a working MVP of their primary use case in under an hour. Clark, the AI coding agent in Superblocks, was the unlock.
Clark as co-builder. Non-technical team members describe what they want to build. Clark generates the application logic, database connections, and API integrations underneath — no engineering bottleneck required.
IT stays in control. Role-based access control, data that never leaves Matthews' AWS VPC, and full governance across every app built on the platform. Innovation is distributed. Control stays centralized.
Connects everything. Postgres, HubSpot, OpenAI, ElevenLabs, Google Vertex AI, and Artemis CRM all integrate into one platform. No more manually moving data between systems.
"We gave Ethan his own sandbox to play in — move fast at the pace he wants, with guardrails that give us confidence. We went from him working on one project a week to a backlog of 30 things he's trying to build."
GPT Launchpad
Matthews has 800+ real estate agents. Giving each one an individual enterprise ChatGPT license wasn't realistic. So Ethan Estrada — the company's first-ever AI Process Engineer, six months out of college — built the answer.
I was hired six months ago. I'm now part of a strategic group of C-level executives and VPs. That's been a really unique experience for a first job.
Ethan Estrada, AI Process Engineer
The GPT Launchpad is an internal AI hub, embedded directly into Matthews Labs, the company's internal React platform. Agents authenticate with their own account and access a suite of AI tools purpose-built for commercial real estate: lease abstraction, market report generation, deal summarization, and coaching. Every tool is standardized, specific, and connected to Matthews' actual data.
- Built for the whole company. 800+ agents access AI tools through Matthews Labs, connected to the systems they already use daily.
- Powered by real data. Integrates with OpenAI, stores prompts in S3, embedded as an iframe into the Matthews internal site.
- Built without a coding background. Ethan had never written production code before joining. The GPT Launchpad is his production app, now deployed company-wide.
"We weren't able to read into our data with existing vibe-coding tools. Superblocks gave us that native integration — letting us see what we could actually do with our data at scale."
AI Crew Training Simulator
Offering memorandums are the foundation of every commercial real estate deal. At Matthews, producing one used to take 3 to 5 days of manual work — pulling content, formatting sections, moving data across systems.
Jason Lance, Senior Marketing Manager with 20 years in commercial real estate, built a better way. The OM Builder lets marketing associates drop in deal content — property details, financials, comparables — and the application automatically categorizes it, places it into the appropriate sections, and generates the document in minutes.
Superblocks has allowed me to find a new passion with vibe coding. I get such a reward building these apps — so much so that I've started building my own in my free time on the weekends.
Jason Lance, Senior Marketing Manager
- Faster to market — Same-day OM generation gets drafts into client hands immediately, accelerating approvals and deal velocity.
- No coding required — Jason spent 20 years in marketing, not engineering. He built this with Superblocks and Clark — and is now building additional tools for pre-production and digital marketing teams.
- More deals close — Faster collateral means faster approvals, faster time to market, and more revenue for Matthews.
"Associates drop in content, the app categorizes it, places it into the right sections, and builds the OM in minutes. We've gone from 3–5 days to instant generation."
6 apps and growing
Measurable outcomes. Unexpected ones too.
I was hired six months ago. I'm now part of a strategic group of C-level executives and VPs. That's been a really unique experience for a first job.
Ethan Estrada, AI Process Engineer
Superblocks has allowed me to find a new passion with vibe coding. I get such a reward building these apps — so much so that I've started building my own in my free time on the weekends.
Jason Lance, Senior Marketing Manager
agents served by apps
built onSuperblocks
offering memorandum
turnaround (was 3–5 days)
dedicated engineering
involvement needed
departments buildingtheir own tools
to build first MVP
at kickoff hackathon
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