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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.

Explore the lesson material below. Each page lists its available recording and resources.

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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Recording of the class: Build a Real Estate Content System You Can Check

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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Recording of the class: 25 Useful AI Marketing Ideas for Real Estate

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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Recording of the class: How to Fix Generic AI Real Estate Pages

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.

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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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Recording of the class: How to Make AI Write Real Estate Content in Your Voice

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.

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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.

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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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Recording of the class: Context Cards and NotebookLM for Useful Client Explanations

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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Recording of the class: Google AI Workflows: Inspect the Evidence

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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Recording of the class: Connect Your Email and Calendar to AI

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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Recording of the class: AI Automations for Real Estate Agents

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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Recording of the class: Visual AI for Real Estate: Photos, Screenshots, and Documents

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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Recording of the class: How to Build an AI Operating System for Real Estate

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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Recording of the class: The Simplest AI System for Real Estate Agents

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.

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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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Recording of the class: How to Use AI Connectors in Your Real Estate Business

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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Recording of the class: Everyday AI Workflows for Real Estate Agents

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.

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Foundations

Recording of the class: Build a Context Card That Stays Useful

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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Recording of the class: Revise and Save Useful AI Prompts

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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Recording of the class: Six Mental Models for Judging AI Work

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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Recording of the class: From Asking Questions to Delegating AI Work

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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Recording of the class: AI 101 for Real Estate Agents

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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Recording of the class: How to Use Claude in Real Estate

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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Recording of the class: How to Use AI to Solve Real Estate Business Problems

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.

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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.

Record: innovation-lab-public-classes. Approved record hash: 726da9cc5440dd8710fc369f444987514aa2f5c81017cceea3b89bf47507fa0e. Claims: public-classes-free-to-watch, public-classes-portal-unlock, public-classes-taught-live.