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AI classes built for real estate agents.
Learn with Ryan Wanner through recorded classes, course lessons and practical workbooks. Choose one problem, watch the available lesson and work through its steps.
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Google Business Profile: Build, Improve or Recover
Choose the right profile task, check real business facts and use AI to prepare one reviewed change or documented next action.
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How to Get Recommended by AI for Real Estate
Check what answer engines say about you, verify every source they cite, and publish one sourced answer worth citing.
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How to Build Real Estate Landing Pages with AI
Build one Agent Context folder, then ship a page about you, a listing page, and a private client page that follow your guardrails and consent rules.
Watch and work through the lesson →Clients and follow-up

AI Lead Generation for Real Estate: Help One Buyer Pool
Choose one buyer pool, create a sourced asset for a real need and keep an honest record of actual buyer demand.
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Build an AI Follow-Up CRM in Google Sheets
Turn a Google Sheet into a relationship memory, let AI organize and draft, and reach out only with a real, verified reason.
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What to Do When Your Client Quotes ChatGPT
Be your client's first AI voice, stress-test AI answers together, and gate every claim before it reaches a deal.
Watch and work through the lesson →How to Use AI for Real Estate Follow-Up Without Spamming
Find the one useful next action for a contact, draft only when permission and facts support it, and record what really happened.
Work through the class material →How to Set Client Communication Boundaries as a Real Estate Agent
Reset client expectations with one boundary message, 8 ready replies in your voice, and a Monday update that gets ahead of check-in texts.
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Build an AI Client Follow-Up System for Real Estate
Draft every client message from one context kit: instant replies for new inquiries, a weekly deal update, and year one after closing on the calendar.
Watch and work through the lesson →Content
Build Along: Make and Revise One Client Resource
Specify the reader and the job, collect the facts, and ask for a complete first draft. Mark what is inaccurate or unclear, revise against the source, and test the final packet on a phone and in print. Save the request and the correction with the asset.
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Build a Real Estate Content System You Can Check
Collect material you own, explain what it means, and use four context cards to draft one useful answer. Review the facts and voice, save a specific correction, and improve the next run. The workshop includes real setup failures and troubleshooting.
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25 Useful AI Marketing Ideas for Real Estate
Find one useful marketing experiment, supply real context and test a small output with a guided setup interview.
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How to Fix Generic AI Real Estate Pages
Improve an AI-built page without starting over: a blind-spot pass, fixes folded back into your context, honest cuts, and one clear call to action.
Watch and work through the lesson →How to Stop AI Writing From Sounding Robotic
Build a Voice Kit from messages you actually sent, rewrite any draft in your voice, and run four checks before it goes out.
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How to Make AI Write Real Estate Content in Your Voice
Write four small files once, about you, your reader, and your subject, then stack them to get any piece of content in your own voice.
Watch and work through the lesson →Systems and automation
Context Kits and AI Systems: The Full-Day Workshop
Select the current cards a task actually needs, draft from verified facts, and inspect the result before acting. Then map the handoffs, owner and fallback for one repeatable job. A saved context card needs review when its facts change.
Work through the class material →Vibe Coding: Specify and Test One Useful Tool
Define one user and one job, write the acceptance checks, then build a thin input-to-output slice. Try empty, invalid and ordinary inputs before calling the result useful. Keep the source and a recovery note; publication is a separate decision.
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Context Cards and NotebookLM for Useful Client Explanations
Start with a question you understand, locate the resources you already own, and separate business context, client preferences and current task facts. Use that packet to draft an explanation, check its claims against the sources, and choose a format that helps the person understand.
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Google AI Workflows: Inspect the Evidence
Compare the result with its source, record what you observed and separate an announced capability from something tested in your account. This May 2026 class is useful because the demos reveal missing inputs, invented details and scores that deserve scrutiny.
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Connect Your Email and Calendar to AI
Map your sources, verify one connector and build a recurring workflow with explicit human decisions.
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AI Automations for Real Estate Agents
Write any recurring job as trigger, middle, exit condition, and iterations, so AI drafts on a schedule and you keep the send button.
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Visual AI for Real Estate: Photos, Screenshots, and Documents
Show AI the screen, document, photo set, or voice note, make it split what it sees from what it can't confirm, then verify.
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How to Build an AI Operating System for Real Estate
Set up one inbox, a short context file about you, clear homes with their own instructions, a system map, and a filing log any AI can work from.
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The Simplest AI System for Real Estate Agents
Capture, Analyze, Produce, Iterate: four moves that turn one-shot prompting into a system, run on a quiet prospect, a client picture, and your cash.
Watch and work through the lesson →Why AI Isn't Saving You Time, and How to Fix It
Diagnose why AI hasn't paid off, redesign one recurring job around a reusable scaffold, and measure it for seven days.
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How to Use AI Connectors in Your Real Estate Business
Route AI work into your CRM, drafts, and the right inbox with connectors or a clean manual handoff, then answer fast when someone replies.
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Everyday AI Workflows for Real Estate Agents
Capture work in a repeatable shape, give AI a clear spec, check every handoff, and run pipelines from trigger to reviewed deliverable.
Watch and work through the lesson →Foundations

Build a Context Card That Stays Useful
Keep a small reference for stable background and voice, then add the current task evidence separately. Give facts a source and date, resolve conflicts before drafting, and refresh the information when it changes. A context card is a maintained input, not a promise of permanent memory.
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Revise and Save Useful AI Prompts
Save the request and its result, identify one defect, and change one instruction. Re-test with the same facts and criteria, then keep the better version with a short explanation. This current exercise accompanies an archived course recording.
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Six Mental Models for Judging AI Work
Define what a useful result looks like, inspect the draft against its sources and decide what to keep, edit or redo. Begin with work you understand, and involve another source or reviewer when a claim exceeds your knowledge.
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From Asking Questions to Delegating AI Work
Choose a small job you understand, give AI the relevant facts and a clear output, then inspect the result. Finish with a reusable brief and a reviewed draft, rather than a longer conversation with no usable result.
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AI 101 for Real Estate Agents
Think about AI like a new hire, brief it properly, give it a reusable Context Card, and fact-check every claim.
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How to Use Claude in Real Estate
Hand a desktop AI agent one bounded job: set up a Claude Cowork project, check its permissions, have it interview you, then inspect, correct, and rerun.
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How to Use AI to Solve Real Estate Business Problems
Run any stuck business problem through OODA with AI: define it, find what's missing, audit the answer, pick an option, and act on the smallest step.
Watch and work through the lesson →Free with a student account
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Create my free account →Past the class library
Every class solves something. Which one is yours?
The library teaches one method at a time. Read the class workbooks on each page; a free student account provides the downloads. If you'd rather not guess which method matters first, that's the Agent Constraint Accelerator: custom onboarding that names your one constraint, a written plan built around your real estate business, and weekly action items on both sides.