The AI curriculum for real estate agents.
The Lab teaches AI in six tracks: foundations, marketing and listings, leads and follow-up, operations and transactions, compliance, and measuring results. Every skill is taught on real real estate work and built into your own business, so each track ends with systems you actually use.
By Frank VazquezUpdated October 30, 2026Foundations
How to get useful work out of AI, every day. Everything else in the Lab is built on this track, so it is where every member starts.
What you learn
- How AI assistants work, what they are good at, and where they make things up
- Prompting that gets usable output on the first or second try, not the tenth
- Giving AI the context it needs: your voice, your market, your clients, your rules
- Choosing the right tool for the job among the major assistants and the AI already inside your CRM
- Keeping client data private and knowing what never goes into a public AI tool
What you build
- A personal prompt library for the tasks you repeat every week
- A reusable "about my business" brief that makes every AI answer more specific to you
Marketing and listings
Marketing that sounds like you and takes a fraction of the time, from the listing description to the launch plan.
What you learn
- Listing descriptions, feature sheets, and launch emails written in your voice
- Turning one listing or market update into a week of content across channels
- Market reports and neighborhood updates your sphere will actually read
- Reviewing AI-written marketing for accuracy and fair housing before it goes out
What you build
- A listing launch kit you can run on every new listing
- A content calendar built from your own expertise, not generic posts
Leads and follow-up
Follow-up that never forgets a contact, from a first automation to systems that answer and route leads for you.
What you learn
- Responding to new leads quickly with messages that still sound personal
- Follow-up sequences for buyers, sellers, and your past clients
- Cleaning, tagging, and organizing your database so it is something you can market to
- Automations inside your CRM and with connector tools like Zapier or Make
- Where AI voice agents fit, and where they do not
What you build
- A new-lead response and follow-up plan that runs without relying on memory
- A database cleanup and tagging system for your CRM
Operations and transactions
The busywork between contract and closing: checklists, reminders, and client updates that keep deals moving.
What you learn
- Transaction checklists and timelines built from your own process
- Client update messages at each stage of a deal
- Summarizing long documents and email threads so nothing gets missed
- Standard operating procedures for your business or team, written with AI
What you build
- A transaction communication plan for buyers and sellers
- Written SOPs for the tasks you are ready to hand off
Compliance realities
Using AI inside a regulated industry without creating risk for your clients, your brokerage, or your license.
What you learn
- Fair Housing and AI-written marketing: what to check and why
- TCPA rules for automated calls and texts
- Disclosure, including when you use AI-generated voices or images
- Client privacy and what data should never be entered into public AI tools
- Working within your brokerage’s AI policy, and what to ask if it has none
What you build
- A personal review checklist for everything AI produces before a client sees it
Results and measurement
Knowing which systems are worth keeping. Every build gets measured, so you can keep what works and cut what does not.
What you learn
- Choosing one number that shows whether a system is working
- Tracking time saved and response times, not just activity
- Re-rating your intake baseline at 90 days to see what changed
What you build
- A simple scorecard for every system you run
Same tracks, different depth.
Every member starts with Foundations. After that, your coaching intake decides the order: you rate how much you want AI to help in each area of your business, from prospecting to transactions, and coaching focuses there first.
The tracks are the same for every level; the depth changes. An agent who has never used AI starts with prompting and daily habits. An agent already running automations goes further into connected systems. See where you fit.
Curriculum: common questions.
Which AI tools do you teach?
The mainstream assistants agents already have access to, such as ChatGPT, Claude, Gemini, and Copilot, plus the automations in your CRM and connector tools like Zapier or Make. The focus is the skill and the system, not loyalty to one vendor.
Do I have to go through the tracks in order?
Foundations comes first because every other track depends on it. After that, the priorities you rate in your intake decide where your coaching focuses.
Will I build things or just watch demonstrations?
You build. Each skill is taught on real real estate work and then built on your own business, so every session ends with something you can use that week.
Is compliance part of the curriculum?
Yes. Using AI in a regulated industry is its own track, covering Fair Housing in AI-written marketing, TCPA rules for automated calls and texts, disclosure, client privacy, and why a person reviews everything before a client sees it.
Is the curriculum the same for beginners and advanced agents?
The tracks are the same; the depth is not. A beginner starts with prompting and daily habits, while an agent who already builds automations goes further into connected systems and voice agents.
Start with Foundations and build from there.