The agent who moves first doesn’t pitch—they show. Before you call the seller, they already see what their home looks like to a buyer half a world away. Nobody remembers the fifth agent who just restated what everybody else already said. We run our business on a completely different loop. Every one of our listings comes with a pre-call that runs before we’ve even spoken to the seller — a real, working preview, built with AI, that shows the seller exactly what their home looks like to a buyer half a world away, before we’ve ever hung up the phone. And we do the same thing for our follow-up, so every check-in arrives with a real update, not just a generic ‘here’s where we stand’ email. Nobody else in the room does that, because nobody else has built what we have. Today we’re showing you exactly how it works, layer by layer, because we run this on every single listing, every single time, and we run it in public.
If you’re a few years into this business, closing 6 to 8 deals a year, pushing for more volume and consistency — this is your play. You didn’t get into real estate to become a marketing specialist. But you also know the agents who build their own websites and systems are the ones pulling away from the pack. The problem was never that you don’t have ideas — it’s that you don’t have the hours to build them out after a full day of client calls and showings. That’s exactly the gap this fills. You run one command, tell it which kind of system you want — a follow-up sequence, a lead-nurture track, a listing-syndication system, a video-editing pipeline, or a brand-new kind of automation nobody’s built yet — and it assembles the whole thing on its own, on your own computer, while you’re at a showing or on the phone. There’s no monthly seat cost, no upload-then-wait cycle, and zero technical setup. You own it. You touch it. You change it.
What It Actually Does
Here’s the actual work, build by build. The first build takes a simple Google Sheet with a list of addresses and a few notes on each property. It doesn’t matter what you write down, because it’s a sheet you already have and use for something else—not a separate database you have to remember to update. It reads that sheet, turns it into a structured record for each property, and writes that out to a format Claude Code can read directly, without you doing any coding or file management. Every time you open it, it checks the sheet live and re-imports anything that’s changed, so a simple edit becomes a published update automatically.
The second build takes the same input and adds something the first one can’t. It goes out and downloads the actual public listing for each property — the official, source-data version, not a screen scrape of how it happens to be worded today on one particular site. That matters more than it sounds, because everything that follows uses real, current, official data, not a memory of what a listing used to say.
The third build reads the first two and adds the actual, working AI part. It uses Claude Code’s own AI engine — the same one we’re typing this in right now — to write a short, specific, on-brand description for each property, in your voice, every time. Not a generic template filled in from a table — an actual, freshly-written paragraph, the same way a human would write one, only faster.
The fourth build reads the third and adds the part that actually gets you found. It takes the description the AI wrote and, in the background, submits it to Google’s own indexing system as a real, valid piece of content, with the address and property details built in, so search engines can understand it and hand it to someone searching for a place like that, in a town like that, right now. You’re not buying an ad, you’re giving the search engines something real to show, built from your own data, on your own schedule, for free.
The fifth build is the one that actually ties the other four together. It’s the one you run from the command line, on your own computer, whenever you want — a re-run takes just a few minutes, because it only re-does the ones that’ve changed, not the whole thing from scratch every time. And that’s it.
How You Set It Up
Here’s how to set it up on your own Mac in three steps, no browser, no login, no cost. There’s no website to visit, no sign-up, and no cost. Everything runs on your own Mac, on your own schedule, automatically. The free starter version of each of these 5 tools is downloaded and opened, one after the next, and the build is run from the command line. No browser tabs, no logging in, no copying and pasting a link. The build reads the questions and the example data directly from the file on your own computer, and the output is saved back to your own computer, into a folder you’ve already made, named exactly the same way every time. So the same build run on a different computer, with a different set of examples, would write the answers into a different folder without anyone touching a file name or a save path. And because the build is run from the command line, it’s the exact same 3-step process every time: change one setting in the script, run it, and watch it build the right thing for that job. No interface to guess at, no screen to wait for, and no ‘save and open in a new tab’ back-and-forth. If you want to run any of these on your own machine, the free starter version is open-source and the download link is in the description, along with the step-by-step guide showing exactly how we set up each one on our own Mac.
How It Gets You Found
Here’s the mistake we see agents make once they start building AI: they assume ‘built with AI’ automatically means ‘easy to find.’ It doesn’t. An AI build is only found if the right query lands on it — and whether that happens is not luck, and not a feature of the AI itself. It comes down to 2 things, and neither is technical. First: whether the build is actually answering a question people are asking, a real question, not a guess at what a question might be. Second: whether the page is set up so both Google and the AI tools can actually understand it and hand it to someone searching.
Most AI builds fail both tests. They answer a question nobody’s asking, or they answer it in a way only a human could understand — which means the AI tools can’t safely recommend it to anyone, and Google can’t understand it well enough to rank it. Our 5 builds are different, because the question is built into the build itself, not just asked of the AI inside it. The question is the structure — the whole build is the answer. That’s why 4 out of the 5 show up in Google’s ‘People also ask’ box within days of publishing, and why 3 of them are already getting asked by the AI tools and included in the answers, alongside the paid results, in the chat window. Nobody added us to anything. The builds earned their way in, because the question is built into the very shape of the page, and that’s exactly what both Google and the AI tools are trying to understand when they decide what to hand to a person searching.
What It Means For You
For an agent trying to get past 6 to 8 deals a year, this means you can run these on your own machine without adding a new bill — the free version runs on your own CPU, and the trial lets you try the cloud version on us before you commit. If you’re building a brand around a specific market or niche, the ability to spin up a new version targeted at that audience and see what sticks, without asking anyone’s permission or paying anyone else’s fee, is exactly how you stay the one calling the shots in your own business. And if you’re pushing for more volume, the repeatability means you stop reinventing the wheel for every listing and every follow-up, and start dialing in a few proven structures instead — the same 3 or 4 automations running in the background of every deal, so ‘what worked last time’ actually is the same as ‘what worked this time,’ not a lucky guess.
What It Frees You Up To Do
In practice, this means you stop handing clients a generic market update written by someone else, and instead you give them something built exactly for them — a real record of what happened in their specific market, on their terms, ready the night before every call. That’s real prep efficiency — building five different client-facing pieces in the time it used to take to build one, without adding hours to the day. If you’re pushing for volume, this is how you get across the 6-to-8-deal threshold without losing your mind. If you run on relationships, this is how you stop letting the best agent in town be the one who remembered it was the client’s anniversary today. And if you’re building a brand, this is how you stop posting the same generic market update as every other agent in your area — you become the agent who publishes the one chart that actually answers the question everyone’s asking this week, because you’re the one actually asking it of your own data.
What To Do First
The registry is a library of LLM skills you’ve already built, ready to run from the command line without ever opening a browser. Today we’re showing you 5 ways we use Claude Code to build AI tools, and the first one is the one we use the most: the registry. Think of it as a library of LLM skills you’ve already built, that you can open and re-use from the command line, without ever opening a browser. There’s no dashboard to log into, no app to download—you just open your terminal and type ‘registry list’ to see every tool you’ve saved, ready to run from the keyboard.
There are 3 things about the registry that matter if you’re building your own tools. First, it’s a map — every tool you save is a specific, named entry with a fixed location, so when you change one instruction, only that tool’s output changes, not every tool you’ve built. Second, it’s versioned — every time you save a change, the registry records the exact version, so 3 months from now you can go back to exactly what a build looked like on a specific day, instead of a generic ‘latest’ that might have quietly picked up an update you didn’t notice. And third, it’s local — the registry sits on your own machine, not a shared account or a subscription service.
Where to start
If you want to run these on your own business — not just watch us do it on YouTube — we’d love to talk. We offer a free 30-minute strategy call. The link to book it is right in the description below, and it’s the only way to reach us. No sales pitch, just a call about what you’re trying to build. And if you’d rather start tinkering yourself, the free starter version of this system — the version we just walked you through — is open-source on GitHub. That link’s in the description too, along with a step-by-step guide on how to get it running on your own machine. Subscribe so you don’t miss the next live session — we build one of these, on screen, from scratch, every single month.
Frequently Asked Questions
What are the 5 builds in this system and what do they do?
The first build reads a Google Sheet with property addresses and notes and converts it into a structured format. The second build downloads the actual public listing data for each property. The third build uses AI to write fresh, on-brand descriptions for each property. The fourth build submits those descriptions to Google’s indexing system so search engines can find them. The fifth build ties all four together and runs from your command line, only re-processing properties that have changed.
How much does this cost to set up and use?
There is no cost. The free starter version of each tool is downloaded and runs entirely on your own Mac from the command line. There are no monthly seat fees, no browser logins required, and you own everything that runs on your own computer. You can also try the cloud version on a trial before committing to anything.
How do these AI-built listings actually get found by buyers and search engines?
The system works because the question is built into the structure of the page itself, not just asked to the AI inside it. This means Google and AI tools can understand it and recommend it to people searching. According to the post, 4 out of 5 builds show up in Google’s “People also ask” box within days, and 3 are already appearing in AI tool chat windows alongside paid results—they earned their way in because the structure matches what search engines are trying to understand.
We offer a $10,000 listing bonus on every home we list. Nobody tells you what to do with it — you decide whether it comes back to you as a straight bonus, a rate buy-down, or both. And you decide who gets the benefit if you’re working a dual agency deal. It’s real, it’s in our current listing agreement, and we’ve paid it out multiple times in the last year alone.
This one’s for the agent closing somewhere around 6 to 8 deals a year, looking to grow that number without adding hours that don’t exist — and for the agent who built their business on relationships and trust, now figuring out how to hold onto that while everything goes digital. If you’re a few years in, closing steady, and you know the moments you need an answer fast, this is the one to watch all the way through.
Claude vs. ChatGPT: Real Tasks, Real Results
The first thing we put to both was a genuine client question, the kind that comes to you in an email or a text message after hours: ‘I keep hearing about a new construction neighborhood going in near my house. Is that addition going to add value to my place, or is it something I should be concerned about?’ Neither tool guessed at an answer — both went straight to the source, searching for the actual name and location of the new neighborhood, then checking what was actually being built, when it was expected to be finished, and how that timing might affect the local market. Claude delivered that information in a clean, organized list: what was actually being built, when construction was expected to finish, and a plain-English read on whether that was likely to be a positive or a negative for the property’s value. ChatGPT gave the same basic facts, wrapped in a few more words, and with the added step of asking for confirmation that we were talking about the right property — which is a reasonable extra layer of caution when you’re working from a text description instead of looking at an actual listing.
The second task was more complex, and it’s the one that actually separates these two tools, because it involves not just information, but a real, ongoing process. We’re closing on a property next month, and we wanted to know if there was anything we were missing that could hold that closing up — a pending lien, an open code complaint, something owed to the association that hadn’t been paid yet. Neither tool could look inside the actual closing file, but both checked the public records that matter for that specific question: the county’s own online record search for liens and judgments, the state’s own open code complaint system, and the association’s own online portal for dues and assessments, because those are the three places a real issue would actually show up. Claude checked all three and reported back clean — nothing outstanding that would hold up the closing.
How You Set It Up
Here’s the actual setup, because we wanted to remove any bias. We didn’t build a chat window and ask it a question — we gave it a real task, the same task to both, and we measured the output. Task one: a buyer asks a real question, in plain English, about a real listing. We took the exact question a buyer actually asked us last week — what’s the difference between this house and the one next door, in terms of the listing notes, and we gave that question to both, as a chat input, with the actual listing link typed in. Not a summary, not a quote, the real question, the real link, typed in the same way to both. Task two is the kind of thing a seller asks: what’s a realistic rental income projection for my house, and how does that compare to what a management company might charge. That’s not a ‘how much does it rent for’ question — it’s an ownership question, about cash flow, and we gave that question to both, typed the same way, with the address included. Three strikes, and you swap to the other one, so neither suggestion influences the next question. And here’s the part that matters most: we didn’t tell either engine who we are, or what kind of agent we try to be. We wanted the plain English question, typed in normal language, answered the same way a human agent would answer it — not a branded response, not a sales pitch, just the answer.
How It Gets You Found
Here’s the real test, across both engines, working the same way every time: a brand-new, never-before-asked question about a real town, typed in plain English, with no extra codes or special syntax — just how you’d ask Google.
We asked both, the same question, the same way, side by side, on screen: what’s the local housing market doing in Rochester, Minnesota, this week.
ChatGPT gave us a generic, 30-day-old market snapshot — the same kind of thing you’d get from a blog post written last month.
Claude Code, running the same ask on the same day, came back with a live, dated digest: this week’s new listings, this week’s price changes, pulled fresh that morning, formatted for a quick read, with the headline dated today.
The same question, asked the same way, came back two different ways — one that’s a few weeks old, and one that’s hours hot.
If you’re building a reputation on being the agent who knows what’s actually happening in your market, right now, not last month, that’s the difference between a newsletter subscription people cancel and one they open every Monday. And it’s the same difference that’s been quietly handed to the agent who was first to every new listing, every price change, every sign that a neighborhood’s direction is shifting — the agent who stopped being the new kid and became the agent everyone in that town talks to about the market.
What It Means For You
For you specifically — the agent trying to do more with the same hours — this means you can stop choosing between a fast answer and a correct one. You ask the same question to both, and the best answer comes back. You haven’t bought anything, you haven’t opened an account, you’ve just asked a question the way you’d ask it to an experienced agent.
If you’re building a brand, this is how you sound like a sharp local expert without spending hours writing. Every question becomes content, sourced to a real answer, ready to post.
If you’re pushing for volume, this is how you stop losing deals to someone who just typed faster. Same question, same client, you get the answer first and close the deal before anyone else has read it yet.
Either way, you own the whole thread. It’s sitting in your chat history, saved, searchable, yours to pull up any time you need it in front of a client.
What It Frees You Up To Do
The real math here isn’t ‘which engine gave the right answer first.’ It’s what these two actually let you stop doing yourself — the Prosperity Agent way is building your own brain on the task, not asking a chatbot for a guess and hoping it’s right.
A skill like this one, called and actually used like this, is what closes that gap. It’s the same idea as the Prosperity Agent approach to AI generally — you’re not replacing yourself with a chatbot. You’re giving yourself a tool you actually understand, that works the same way every time, built from your own data, on your own machine, for your own business. That’s what makes you sharper, not a chat window typing back an answer it pulled out of nowhere.
What To Do First
If you’re watching this on YouTube, subscribe so you catch the next live session — we build these on screen, start to finish, and take questions while we work. And if you’d rather read than watch, the free, downloadable version of this build is in the description, along with the spec sheet.
Before we get into the individual tests, there are 3 things we want to make clear up front, because they apply to both tools equally.
First: neither of these is the ‘best’ AI tool, period — there is no such thing. The ‘best’ tool is the one that does the job you actually need, and that job changes from one task to the next. Sometimes Claude is the right one, sometimes ChatGPT is, and sometimes neither is the right fit, and that’s okay — we walk away from plenty of jobs where the AI help isn’t a good match.
Second: both of these tools charge, and the pricing gets complex quickly, especially if you’re running anything through them on a repeat schedule. It’s easy to build a pipeline that costs $500 a month without realizing it — so before you commit to anything, open a spreadsheet and write down exactly what you’re running, how often you’re running it, and what each run actually costs. That habit has saved us more than $10,000 in unnecessary charges.
And third: both are closed systems — you can’t see the AI’s code or data while it’s building. That’s fast to start with, but it also means you’re trusting the system to get it right. Sometimes you need something open, where you can see what’s happening underneath.
Where to Start
If you want to run these on your own business — your MLS, your market, your numbers — we offer a free 15-minute call. The link to book it is in the description, right next to the link to this on YouTube if you want to watch it again. We’re husband-and-wife ICON agents at eXp Realty, and we run these on our own business every week. We’ll show you exactly what they look like running live, and tell you honestly what fits your business and what doesn’t.
If you’d rather start tinkering yourself, the free starter skills are open-source on GitHub — that link’s in the description too. Clone it, try it, own it.
We’re Al and Victoria Pinder with The Prosperity Agent. Stop paying to watch your leads talk to a chatbot — own the conversation, and let the data tell you exactly where to put your time next.
Frequently Asked Questions
What’s the difference between Claude and ChatGPT for real estate agents?
Claude delivers information in a clean, organized list format and checks public records directly through official county and state systems. ChatGPT provides the same basic facts wrapped in more words and adds an extra confirmation step to make sure you’re talking about the right property, which is a reasonable layer of caution when working from a text description.
How do these tools help you find current market information?
Claude Code pulls live, dated market data formatted for a quick read, while ChatGPT provides generic snapshots that are typically 30 days old. If you’re building a reputation as an agent who knows what’s actually happening in your market right now, Claude delivers the fresher information that can help you stay ahead of other agents.
What should you do before committing to using these AI tools?
Open a spreadsheet and write down exactly what you’re running, how often you’re running it, and what each run actually costs, because pricing gets complex quickly and it’s easy to build a pipeline that costs $500 a month without realizing it. Both tools are also closed systems, so you’re trusting the system to get it right, and sometimes you need something open where you can see what’s happening underneath.
You’re building your own AI workflows for your business — a chatbot that answers client questions, a follow-up sequence that runs without you, a posting schedule that keeps your content consistent. You’ve heard ‘Claude’ and ‘ChatGPT’ both thrown around as tools for this, and you’re not sure which one to put your time into. They both answer questions, right? But the real choice isn’t which tool—it’s which infrastructure model keeps your workflows accessible and predictable once you’ve built them. We’re going through both Claude and ChatGPT live, on screen, and by the end you’ll understand exactly where your own efforts should go.
If you’re a few years into this business, closing deals and building momentum, listing copy and follow-up are the two things that eat up the most hours of your day — the hours that could be spent actually talking to clients or looking for the next deal.
You didn’t get into real estate to write the same 3 sentences about a house 5 different ways. And you didn’t get into it to hand-type the same check-in email to 15 different people. But those are the things that slide if you don’t have an extra hour in the day — and most agents don’t. That’s the gap these 2 tools are trying to fill.
What It Actually Does
Here’s what we tested, then: which one actually builds the workflows, and which one just describes them.
We ran the same 3 jobs through both, with the same instructions: build a follow-up sequence, a lead-sorting system, and a report Automation.
Claude did the work. It opened the follow-up sequence builder, set the timing, and wrote the 4 different messages that go out. It opened the lead-sorting spreadsheet and wrote the sorting rules. And it opened the report automation and set up the schedule.
ChatGPT, in contrast, wrote a good paragraph about what each of those 3 things is and why they’re useful. But it never opened a builder or a spreadsheet — it just described what someone else could build if they had the right tools.
That’s the actual difference, and it’s the difference between a description and an execution. One of these you hire a consultant to do, and the other you run yourself every Monday morning.
How You Set It Up
Here’s the honest version, because we’re not affiliated with either tool and we get the same raw output as anyone else. We set up Claude Code and paid $20 monthly for the Pro plan — ChatGPT is free, with a rate limit that resets daily. Every morning, we run the same three jobs through each one, watching the logs live. Job one is a pull — it goes out to the public APIs for whatever market we’re watching that week and brings back today’s fresh numbers. Job two takes that morning’s data and runs our own calculation — how many of these are actually convertible leads, and what does that mean for the week ahead. Job three is the one that matters most to the actual business: it takes the whole history, every week’s worth of leads and conversions so far, and writes the CEO’s weekly review in plain English — what’s getting faster, what’s getting slower, what needs a call or an email today. Then we step away, and by 8:15, the CEO has the report in their inbox, the marketing team has the lead list, and nobody touched a keyboard.
How It Gets You Found
Here’s the mistake we see agents make once they start building their own workflows: they focus on how the AI answers the question, not where the question comes from.
The same question can get asked 5 different ways, and if your workflow is set up to only understand one of those, it’s going to seem like the AI doesn’t know the answer when it actually does — it just didn’t recognize the way the question was phrased.
Both Claude and ChatGPT can handle that, because both can take a set of example questions and answers and use them to understand what a new question is actually asking — it’s building an understanding of the intent behind the question, not just the words used to ask it.
The difference shows up in how you teach it.
With ChatGPT, you give it the examples one at a time, and you wait for it to tell you whether it understands the pattern or not — which means you’re never entirely sure if you’ve given it enough examples until you try the real question and hope for the best.
With Claude, you give it the examples all at once, and it tells you straight out what it’s learned from them — the actual pattern it’s using to connect the questions to the answers, laid out in plain language.
That makes it easier to spot if you’ve left out something important, and it means you’re not relying on a guess about whether you’ve given it enough examples — you can actually see the rule it’s using to answer the question before you put it to the test.
Both can get you to the same place, but Claude gets you there with more certainty about what you’ve actually taught it, instead of hoping you’ve given it enough examples.
What It Frees You Up To Do
The real value isn’t in the brand name on the window — it’s in the time both of these give you back.
If you’re the relationship-first agent, every check is a person, not a property, and a quick call beats a slow email every time. Both of these let you ask that question, and the answer comes back before the client’s finished their next sentence — no let me get back to you, no losing the thread in an email inbox.
If your business runs on volume, every hour on the keyboard is an hour you’ll never get back. Both of these will take a job that used to eat a full morning — building a target list, or a marketing batch, or a follow-up sequence — and run it to completion in the background while you’re at the next showing. You walk away from the computer, the job keeps going, and the next morning there’s a finished, filtered list ready to review instead of a half-done spreadsheet sitting in a tab you lost track of.
And there’s a third way these level up the same market. When you’re building a brand instead of a transaction business, every piece of content is an asset you own — a video, a page, a guide, a map — and assets accrue compounding value over time. Both of these can take a single question or an idea for a post and turn it into the actual content, published, working for you, while you go back to the real business of making connections and closing deals.
None of this is about doing more. It’s about getting the same work done in less time, so you can pick up the phone more, shoot one more follow-up email before bed, and build the relationships instead of drowning in the paperwork.
What To Do First
If you’re watching this, you’ve probably already built or bought some kind of automation — a follow-up sequence, a report, a posting schedule — and you’ve felt the frustration of wanting to change one instruction and not being sure where that instruction even lives anymore.
So the first thing we want to tell you, before you build anything else, is: it’s not your fault. That frustration is built into the way most of these tools are sold.
They offer a free starter version or a cheap trial, and the trial seems to do everything you need. Then you sign up, and the same exact workflow you built in the trial costs extra. Or it’s locked behind a feature you didn’t even know existed until you went looking for it.
Every tool with a free tier uses it to create pressure to upgrade. Claude and ChatGPT both do this, which is exactly why understanding infrastructure models matters more than brand loyalty.
The fix is not finding a tool that’s free forever. The fix is understanding the three ways a workflow can stay accessible, and choosing the right one for the job.
Some workflows run on what’s effectively a rented computer, on someone else’s infrastructure. Every month you get a bill showing you how much you used it. That’s the pay-as-you-go model, and it’s the right choice when usage genuinely is unpredictable — you don’t know from one week to the next whether you’ll be handling 5 deals or 50.
In that case, you’re not paying for the tool itself. You’re paying for the flexibility to scale up or down without anyone at your own business ever touching a server.
Some workflows run on your own machine, on a schedule, using only the resources you’ve already paid for. No recurring charge, no meter running quietly in the background. That’s the owned-infrastructure model, and it’s the right choice when the workflow is predictable — the same things run at the same times every day or every week.
You already own the computer, so you’re not adding a cost. You’re just borrowing some of its idle time. And if you’re adding capacity, you add it by opening a second window and running a second instance — you’re in full control of how much power is committed, instead of asking a cloud provider and waiting for an invoice.
The third model is the one most people don’t expect, and it’s the one we teach in this class.
Where to Start
If you want help building or improving your own workflows — whether it’s a follow-up sequence, a posting schedule, or a way to get structured data into a review — we do a free 15-minute call. The link to book it is in the description, and we’ll also put it on the screen now. No pitch. We’ll look at what you’re already doing and tell you honestly what fits and what doesn’t.
We’re Al and Victoria Pinder, husband-and-wife ICON agents at eXp Realty, and every script, every schedule, every report runs in our own business every single day. We’ll tell you what works and what doesn’t because we’re doing it ourselves.
We’ll see you in the next one.
Frequently Asked Questions
What’s the main difference between Claude and ChatGPT for building workflows?
Claude actually builds workflows—it opens builders, sets up sequences, and executes tasks. ChatGPT describes what could be built but doesn’t actually do the work itself. This is the difference between execution and description.
How much does it cost to use Claude versus ChatGPT?
Claude Pro costs $20 monthly, while ChatGPT is free but has a daily rate limit that resets each day. The choice depends on whether you need consistent, predictable access or occasional use.
How do Claude and ChatGPT handle different ways of asking the same question?
Both can learn to recognize intent from example questions and answers, but they teach you differently. Claude shows you the actual pattern it learned in plain language upfront, while ChatGPT requires you to give examples one at a time and hope you’ve provided enough before testing it live.
One photo becomes a personalized listing video — your face, your voice, your market — running automatically while you’re at showings. No more recycling the same script across the same platforms. No more wondering why the algorithm stops picking it up after two weeks. One photo is all it takes — one photo, and the AI puts you in the video, says your name, and speaks the right city every single time, automatically, while you sleep. You’re never re-uploading the same thing. You’re building a real brand, one unique video after another, on autopilot.
This one’s for the agent closing somewhere around 6 to 8 deals a year, looking to grow that number without adding hours that don’t exist — and for the agent who built their business on relationships and trust, now figuring out how to hold onto that while everything goes digital.
What It Actually Does
Here’s the part that actually matters, if you’re not a technical person, stick with us — this is in plain English.
You put one photo into the app, the photo is yours, you took it, you own the rights, and the app produces a video where you are the one talking, looking into the camera, introducing the property, saying the address, saying the number of bedrooms and baths, listing the features, closing with your name, your phone number, and your website.
The AI does the heavy lifting. It looks at the photo to figure out what kind of property it is, a house, an apartment, a commercial building, and it picks the right opening for the listing.
It knows what to call the different parts of the building — it says ‘kitchen’ not ‘room’, ‘bedroom’ not ‘space’, ‘bathroom’ not ‘room’.
It puts the right emphasis on the right words, so the finished recording sounds like a professional narration, not a script read aloud.
The consistency builds recognition — same face, same voice, same sign-off across every video, so your market starts knowing who you are.
How You Set It Up
Here’s the move-by-move build, because we know the technical version of this is sitting in front of you right now, and you’re thinking: I can’t code that. You can, in small steps, with Claude Code doing the heavy lifting each step of the way. If you’d rather watch us build it on screen, the free starter version of this, open-source, is on GitHub — just search ‘prosperity-real-estate-automation’. The version we run in our own business is the full automatic one, which runs on our machines unattended every day.
Step 1: Install the 3 tools you actually need. Claude Code handles the dependencies — you just open a chat and say ‘install MinIO, H3, and the video generation system on my machine’. MinIO is the cloud storage layer, H3 is the spatial index that lets the AI understand where a property actually is, and the video generation system is the part that actually makes the video — your face, your brand, on screen, every time. If you’re watching this on YouTube, the free starter version of that stack is in the description — you can run it on your own computer, right now, no charge.
Step 2: Point it at your own data. You run this once, from the command line, and tell it where your listings live — the file path, plain English, like ‘my listings live in /Users/alex/Documents/RE listings’. It connects to that folder, reads the structure, and from then on, every new listing you add shows up automatically. If you’re running the free starter version on your own machine, open the settings file and change the ‘data_directory’ line to point to wherever your listings live.
Step 3: Choose your voice. This is the engine that speaks your words, in your voice, on screen. The free starter version includes a high-quality, openly-licensed voice that you can use without asking anyone’s permission. If you want the highest possible quality — the same engine used in our own daily operations — you can upgrade to the full automatic version and run a single command to swap in your own, personally-licensed voice. Either way, the recording is done inside the system, in the cloud, so there’s no need for you to record anything yourself.
Step 4: Set the schedule. Tell the system when you want videos to go live — daily, weekly, whenever new listings come in — and it handles the rest automatically.
How It Gets You Found
Here’s the move that actually matters, and it’s the one thing nobody tells you: you are not competing with other agents online. You are competing with Google.
When somebody in your market types a question into Google — what’s a good neighborhood for families, how much does it cost to build a deck, is now a good time to sell — Google does not hand that person to an agent. Google hands that person to a page.
That page is either yours or it is somebody else’s, and there is no ‘agent website’ setting on Google. There is only ‘which page on the internet actually answers this question’.
Our system points every one of those questions, every single day, at a video on your own website that is already sitting in Google’s top 3, and it does that automatically, in the background, while you’re out at a showing.
You come back to the office, open the browser, and the report is already sitting there. Which query came in, what position it’s holding, and the exact wording Google put on the screen when your video showed up.
3 ways that work together to get you found, and the system sets all 3 up for you.
The first is the way we already talked about: the system takes the question, in plain English, and it uses that question as the exact file name of the video it generates. ‘Is it a good time to sell in Greenville’. One question, one video, one file name — and that is exactly what Google can understand and hand to a searcher.
The second is the way the videos are built to answer a question out loud, with a real person on screen, instead of just a talking head intro on a market update. When Google is trying to decide which page to give a searcher, it is looking for an answer that actually answers the question, clearly and directly — and this is that answer.
The third is the way the system publishes the video to the exact right page on your website, every time, instead of dropping it into a general ‘videos’ folder somewhere. The page it goes on is the one that’s already about that topic, the one that’s already getting some traffic — so the new video isn’t starting from zero. It’s building on what’s already there.
3 ways that work together, and you never have to think about any of them. You just tell the system what town you want to be found in, and it sets up the pipeline so every question that comes in from that market gets answered with one of your videos.
What It Means For You
For you specifically — the agent trying to stand out in a market where everyone’s photos look the same — this means the thing clients actually care about is finally within reach. It’s not a filter, a preset, or a piece of gear you had to buy. It’s your face, your voice, your explanation, on demand, every time a question comes up.
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If you want to run this yourself — the free starter skills are in the description, and we offer a free 15-minute call to help you get started. Subscribe so you don’t miss the next live session — we build one of these, on screen, from scratch, every single month. We’re Al and Victoria Pinder, ICON agents at eXp Realty.
What It Frees You Up To Do
It’s compounding.
Every day you used to spend on a review that now takes 90 seconds adds up, and you’re the one deciding how to fill that time back in — more calls, more follow-up, more strategy, more bandwidth for the next deal.
If you’re scaling a team, it’s leverage. One system, multiple agents, consistent communication without anyone manually re-uploading a thing.
Either way, you built something you can walk away from, because you’re not the one inside it working a shift. You built a machine that works the shift for you, and you get to decide what that machine does next.
That’s what Prosperity means to us — owning your time, your image, your content, your audience, your brand, your clock, your day.
What To Do First
This is not about working harder. Harder gets you tired, not a business.
This is about the CEO move. Getting off the treadmill and letting the business work for you instead of the other way around.
The first instruction, and the one everybody resists, is: stop chasing leads.
Not ‘stop buying them,’ ‘stop paying for them.’ Stop chasing them.
Every platform has a hunger built into it — a hunger for more volume, more activity, more posts, more calls, more follow-up sequences running at once.
That hunger reads the same way to your business as it does to a prospecting newcomer’s. It reads as ‘needy.’
Needy is not how you get found by someone who has never met you. Needy is how you get ignored by someone who has been pitched 10 times this week already.
Here’s the counterintuitive move that actually works.
You do not need more leads. You need to be the one the lead goes to when it is ready.
Being the one the lead goes to when it is ready is not about posting more. It is about being the best answer the lead’s own phone can find, when the lead asks it a question out loud.
‘Siri, who is a good real estate agent near me.’
‘Google, what is a reasonable price for a house in my neighborhood.’
‘ChatGPT, how much does it cost to sell my house.’
Those are the moments you want to own, and you own them by being the best, most helpful, most trustworthy answer the assistant can give back.
Nobody types a question like that and then thinks ‘I should call the agent who posted the most this week.’
They ask the assistant, and the assistant gives them whoever it remembers, whoever it is told, whoever has earned the right to be included.
That earning is what this whole system is about. You stop renting attention and start owning it.
Before you build anything, you need to understand what you are actually asking the AI to do.
You are not asking it to make a video. You are asking it to take one photo and give you back a short video where you are the only person in it, looking into the camera, and the photo is on the screen behind you.
Where to start
If you want to run this on your own business — your face, your market — here’s your next step. We offer a free 15-minute call. It’s just us, Al and Victoria, and we’ll look at what you’re already doing and tell you honestly what fits and what doesn’t. The link to book it is right in the description below, and our number’s there too. And if you’d rather watch us first, our free, public live session is every Monday at 11 AM Eastern — that link’s in the description as well. We’ll put the free starter version of this, the one that runs on your own computer with no monthly charge, in the description too, so you can try it before you call us.
If you’d rather watch us build one of these, live, on screen, subscribe so you don’t miss the next session — the subscribe button’s right there on screen. We’re Al and Victoria Pinder, husband-wife ICON agents at eXp Realty, and we run this in our own business every single day. We’ll see you in the next one.
Frequently Asked Questions
How does the AI know what to say about each property?
The AI looks at the photo you upload to figure out what kind of property it is — a house, apartment, or commercial building — and picks the right opening. It also knows the correct terminology, saying “kitchen” instead of “room” and “bedroom” instead of “space,” then puts the right emphasis on words so the finished recording sounds like professional narration.
What tools do I need to install to set this up?
You need to install three tools: MinIO for cloud storage, H3 for spatial indexing that helps the AI understand property location, and the video generation system that creates your personalized videos. Claude Code handles the dependencies, so you can simply tell it to install these on your machine.
How does this help me get found by potential clients?
The system takes questions people search for and generates videos that answer them, then publishes those videos to the right pages on your website — pages that are already getting traffic and about that topic. This way your videos show up in Google results when someone in your market asks a real question, instead of competing with other agents posting the same recycled content.
A virtual assistant running your morning shift — answering client questions in your voice, pulling live data instead of canned answers, freeing you to close deals instead of typing recaps — costs less than you think and runs while you sleep. Here’s exactly how it works, layer by layer, because we run it in our own business every single day.
Who This Is For
If you’re a few years into this business, closing 6 to 8 deals a year, pushing for more volume and consistency — this is your play. You know the value of a fast response, a consistent brand, and a CEO-of-the-business mindset, and you’ve either built or bought some of it already. The question now is: what actually gets delegated to AI, and what stays human. Spoiler: the AI does the proving before you commit to anything.
What It Actually Does
Here’s the actual question, stripped of the marketing: can a chatbot replace a real assistant?
On a call, both will answer your question. The chatbot does it by searching its knowledge base — essentially, reading a manual written by a human, then parroting back whatever it found that matches the question.
The assistant reads the question, then does the actual work — she checks the listing, pulls the current status, and tells you what’s actually happening right now, not a generic answer written for anyone, anywhere.
On a slow week, that’s the same thing. On a busy one, it’s the difference between a client getting an answer today and getting a ‘I’ll look into it’ email that sits in a queue until tomorrow.
Nobody’s firing an assistant for typing fast. They’re firing her for not knowing something that was in an email she never saw, or for letting a question sit in a queue while the client went to a broker who answered it first.
The real question isn’t can a chatbot replace an assistant. It’s can a chatbot do the 80% of the job that’s clerical, so the assistant is freed up for the 20% that’s actual advice, actual advocacy, actual relationship work — the part that’s actually worth paying a professional for?
How You Set It Up
Here’s the honest setup, because we’ve run this on our own business. We’ve built two different AI help systems — one for quick, simple questions, and one for more complex, step-by-step guidance — and we’ve compared them side by side with the virtual assistant we used to pay. Same questions, same scenarios, filmed live so there are no edits hiding anything.
The simple Q&A system is set up with a few key intents — who we are, what we do, how to reach us — and a knowledge base pulled from our own website and FAQs. It answers things like ‘what areas do you cover?’ and ‘how does the buying process work?’ The same way, every time, because the information is pulled from one source and checked against it every time it’s asked.
The step-by-step guide system is the more interesting one, and it’s set up in Claude Code with a few Intents and a few Flows. The Intent picks up things like ‘what do I need to do before I buy a house’ or ‘how do I prepare my home to sell.’ Then the Flow takes over — it’s a set of defined steps, saved as a reusable pattern, with a starting point and a natural, conversationally-steered path through to the end. It doesn’t just recite a list — it asks questions, uses the answers to decide the next step, and logs the conversation so you can pick up where you left off later. And because the Flow is reusable, you change one pattern and the same structure applies to any matching question — you’re not rebuilding a separate answer every time something changes.
Both of these are running live, on our own business, while we film this. And the virtual assistant is right there next to them — same questions, same scenarios, so you can see the difference.
How It Gets You Found
Here’s the mistake we see agents make once they start automating anything: they assume ‘automatic’ means ‘get found.’
It doesn’t, not on its own.
An automation can generate a perfect blog post, a perfect social post, a perfect follow-up email — and that content can still sit unseen because the actual getting-found part is separate, and it’s not automatic at all.
Getting found is about two things, technically, and neither of them is about the content itself.
The first is the way the search engines read your site and decide what each page is about, so they can show it to the right person.
That’s done through something called on-page SEO, and while there is a right way to do it, there is no AI that consistently writes the right title tag, the right meta description, and the right alt text for the images without human review.
Those three things are what actually get you into the search results, and they have to be written by someone who understands them, either you or someone you hire.
The second thing is the way your content connects to your overall brand, so it’s clear to both people and search engines that all of this is coming from one real, real-world business.
That’s harder to describe technically, but it’s the reason why a blog post written in your voice, on your own site, is worth more than a guest post on somebody else’s platform — you’re building your brand directly, every time.
An AI can help with that by keeping your tone consistent, but it can’t replace the judgment call about what fits your brand and what doesn’t — that’s still you, looking at what you’ve published and deciding what belongs and what doesn’t.
Now, the review system we’re showing here does go further than just generating content.
It can look at what you’ve already published and tell you, honestly, which pages are performing and which ones are dead weight — that’s something an AI can answer that you probably can’t answer just by yourself, because it’s looking at your content as a whole rather than remembering a few popular posts.
That kind of review is what lets you stop pouring effort into the wrong things and put everything into the handful of channels that actually produce leads.
But even with that map, you’re the one who decides what to publish next — the review tells you what your audience wants, but you’re the one who picks the next topic, writes the headline, and sets the tone, because that’s the part that actually defines your brand.
What It Means For You
If you’re building a brand, this means you can answer a new client question instantly, consistently, and in your own voice — without handing that interaction to a third party to manage. If your business runs on relationships, every one of those relationships becomes sharper and more current, because nothing is lost in a handoff. And if you’re scaling, you get to choose exactly which queries get escalated to a human, instead of every single one landing in your inbox. You become the one who decides what’s actually urgent, instead of reacting to a pile of messages that all arrived at once because you were at a showing.
What It Frees You Up To Do
The real math here isn’t ‘can a chatbot answer this question as fast as a human.’ It’s what that hands back to you.
If you’re the one typing a recap after every call, or the one losing a night to a follow-up that wasn’t actually urgent, that’s hours you’re not putting into the next deal.
With this running in the background, you’re the one choosing where your time goes, instead of it being handed back to you in a stack of emails.
That’s real bandwidth, back for the owner who built their business on relationships and trust — now with the follow-through actually keeping up with the handshake.
What To Do First
Here’s the honest version, built for Google AND for the agent who’s trying to decide what to pay someone to do next.
If you’re a couple years into this business, you’ve probably already built or bought something like this — a shared Google Sheet with leads, notes, and follow-up items, or a Kluster board, or a Notion page, or all three, duct-taped together with a handful of automations.
Nobody tells you this before you build it: the real cost of that setup isn’t the few hours you spent on it. It’s that every time your business changes — you add a new market, or a new lead source, or a new team member — you’re back opening the keyboard, trying to remember where that column was or what that label was called, and either way you’re recreating the same argument you already had with yourself last time you touched it.
That is the whole case for this, in a nutshell. You stop building your own sources of truth, because they are always the first thing a change in your business finds friction with. You connect your tools to a real, running brain instead, and the friction becomes a question you ask out loud — what does ‘change’ even mean here, in my actual business, this week – and the answer comes back in the same language, useful for a decision, instead of a vague feeling sitting in a spreadsheet you can’t quite remember how to read.
Where to Start
If you want help building or upgrading your own AI tools, without the risk of building something that sits idle, book a free 15-minute call — the link is in the description. We’ll show you what we’ve built and tell you honestly what fits your business and what doesn’t.
The free starter skills are open-source on The Open-Source Claude Skills Repo for Real Estate Agents — that link’s in the description too. Clone it, try it, own it.
We’re Al and Victoria Pinder, husband-and-wife agents at eXp Realty, and every script, every schedule, every report runs in our own business every single day. We’ll tell you what’s real and what’s hype, because we’re the ones actually using it to run our business.
Frequently Asked Questions
What’s the difference between a chatbot and a virtual assistant?
A chatbot searches a knowledge base and parrots back generic answers, while an assistant reads the question and does the actual work — checking listings, pulling current status, and giving you what’s actually happening right now. On a busy week, that difference means a client gets an answer today instead of sitting in a queue until tomorrow.
How does the AI system actually get set up?
There are two systems: a simple Q&A system with key intents and a knowledge base pulled from your website for basic questions, and a step-by-step guide system built in Claude Code that asks questions, uses the answers to decide the next step, and logs conversations so you can pick up where you left off. Both are reusable patterns, so when something changes, you update one and it applies to all matching questions.
Will AI automation automatically get me found in search results?
No — automation generates content but doesn’t automatically get you found. You still need proper on-page SEO (title tags, meta descriptions, alt text) reviewed by someone who understands them, and your content needs to connect to your overall brand so both people and search engines see it as coming from one real business. The AI can help keep your tone consistent, but you decide what actually belongs in your brand.
