AI training for real estate agents

Learn to use AI in your everyday work as a real estate agent.

In hands-on training, learn to set up morning property briefs based on buyer requirements, prepare replies and streamline recurring work. Build the processes yourself with a trainer so you can reuse them for your next client.

What you will practise Discuss training for your agency

Learn through real tasks

What you can learn with us

Here are three examples. We tailor the training to your agency’s work. Practise the selected processes yourself with your trainer’s guidance.

Sample training exercises · fictional property

One example of what we can teach you

Your morning property shortlist, prepared for you.

Learn to set up a routine that compares new listings with buyer requirements and prepares a brief and enquiries for approval. We choose the training exercises around your work.

Source materials

Buyer requirements

Brno · up to CZK 7 million · 60 m² or more · balcony and lift.

Where listings come from

Email alerts and selected available listing sources.

Every day at 07:00Collect → remove duplicates → shortlist

AI result

Morning brief · Mr Novák

For example, listings from

Sreality.cz
Reality.iDNES.cz
Bezrealitky

From 28 new listings

to review: 4
duplicates: 3
outside criteria: 21

Žabovřesky · CZK 6.8 million

64 m², balcony. Lift availability needs checking.

Enquiry ready for approval

“Is the apartment still available, and does the building have a lift?”

Illustrative result with fictional data. Sources and integrations depend on your tools.

Set up ready-made replies. Then just choose one.

Learn to create your own set of replies to common enquiries with AI. Choose the situation, add the property details and refine the message. Try the three sample options here.

You have the final say

Create templates in your own voice. Check the facts and personalise the reply for each buyer before sending.

What would you like to tell the buyer?

Still available Arrange a viewing Confirm monthly costs

Prepared reply

Hello, thank you for your interest. The apartment is still available. I would be happy to answer your questions or arrange a viewing. What would you like to know?

Hello, I would be happy to show you the apartment. Please let me know which days and times suit you, and we can confirm a viewing together.

Hello, I will check the exact monthly costs and their breakdown with the owner. As soon as I have the current information, I will send it to you.

Sample template · edit before sending

Prepare an owner update yourself with AI.

Practise turning sample viewing records into a clear update. We teach you how to save and reuse the process so you can apply it to your next property.

You have the final say

Check the figures, feedback and next steps. Pricing and sales strategy remain decisions for you and the owner.

Draft prepared by AI

Weekly owner update

One-bedroom apartment · Žabovřesky

enquiries: 12
viewings: 4
serious buyers: 2

Four viewings completed. Two buyers have requested more information. Monthly costs are a recurring question.

Next step

Confirm monthly costs with the owner and follow up on the last two viewings.

Leave with a skill you can use on your next property.

You work with AI yourself, supported by your trainer. Learn to prepare sources, brief AI, refine its draft and check the result. Practise on anonymised or sample records and save your process for future use.

What you will learn

From your first brief to your own working process.

Practise as you go. Start with a simple task, then explore reusable processes, agents or connections to your agency’s tools according to your team’s experience.

Buyer requirements and listing sources

Set selection criteria, listing sources and rules for missing details. Practise distinguishing a match from a listing that needs further checks.
Your style, your process

Save your rules for listings, replies and reports so the whole agency can reuse them.
A routine that runs every morning

Connect listing collection, sorting and brief preparation. Set a schedule and decide where the process must wait for your approval.
Review and sensitive data

Set rules for missing facts, checking drafts and handling client information.
Email, documents and CRM

Explore connections to your tools. What is possible depends on each system and its permissions.

Practical details

How the training works

We agree on the exact format based on the team's experience and the tasks you want to address.

Team size: Up to 8 people
Duration: Most often one working day
Location: At your office or online, by arrangement
What you need: Your own laptop and a paid AI subscription, such as Claude or Codex
Content: Adapted to your team and its work
Price: Based on duration, team size and level of customisation

Your trainer

Ľuboš Herčka

Ľuboš has been building software and games for over ten years. Lately, he has been hooked on AI, putting new models, agents and tools straight to work. He now shares that experience in practical AI workshops, showing you what works, where he got stuck and what to watch out for.

Developed and published Toy Monsters as a solo developer on the Meta Quest Store, the official store for VR games
Works with AI throughout feature development: from the initial idea to code, debugging and reviewing the result
Experience across Unity, C#, VR, neural networks, mobile development and WebGL

AI enthusiast · game developer · creator of Toy Monsters

Toy Monsters on the Meta Quest Store Professional profile on LinkedIn

Technology in action

See how far AI has moved

Live examples show the difference between a chatbot, an autonomous agent and a system that coordinates multiple agents. Depending on the team, we may demonstrate OpenClaw, Hermes or Paperclip and their connections to other services.

Tools change quickly. The principles for choosing, instructing and supervising them safely remain.

“We use AI every day at Strategio, but the guys at MadFox helped us become even more efficient.”

Jiří Zapletal · Strategio digital s.r.o.

“With MadFox’s help, we use AI in our dental practice too. They help us automate work we would otherwise do manually.”

MDDr. Klaudia Endreková · EklaDent s.r.o.

What would you and your team like to learn with AI?

Tell us about your experience with AI and the tasks that take up your time. We will prepare practical training where you try solving them yourself with a trainer’s guidance.

Discuss training for your agency