AI Arbitrage: Why the Next 12 Months Will Separate Real Estate Winners from the Losers

What if you could turn a 10-hour due diligence process into 20 minutes of review?

Alberto Rizzoli, CEO of V7 Labs, reveals how AI workflow automation is eliminating the "purgatory" of real estate paperwork, and why operators who master it now will 10x their competition within a year.

In this episode, you'll discover:

⚡ The "napkin test" for identifying which processes to automate first (hint: weekly tasks taking 1+ hours)

⚡ Why AI fails at big, open-ended requests, and the simple fix that makes it reliable

⚡ How to abstract 1,000 leases without adding headcount as you scale

⚡ A free lease abstraction tool you can test today at scanmylease.com

About Alberto Rizzoli: Computer visionary turned founder, Alberto built V7 Labs into a platform processing hundreds of billions in transactions. His mission? Make work actually matter by eliminating everything that doesn't.

This Week's Book: Do the Work: Overcome Resistance and Get Out of Your Own Way - by Steven Pressfield

🎧 Subscribe to Real Estate Underground for weekly insights on building wealth through real estate, without sacrificing your sanity.

Additional Resources:

• Clark St Capital -> Passive real estate investments for busy business owners and executives
• Elevista -> AI SaaS for real estate investors

Social Media:

• YouTube -> Clark St Academy (Learn how to invest in real estate)
• LinkedIn -> Ed Mathews (President at Clark St and Elevista)

Transcript

Alberto Rizzoli (V7): 0:00

The adoption of AI is growing at a slightly lower rate than its ability to learn. And so there's an opportunity for arbitrage in a way where the businesses of the future and the model of the business future are being defined now by the businesses that know what to give to AI.

Ed Mathews: 0:19

So the big question is this, how do real estate investors who don't have a ton of free time, don't have access to off market deals and didn't start life on third base? How do we conservatively grow our real estate business to support our families? Finally, leave the corporate rat race and build a legacy? That is the question. This podcast will give you the answers. I'm Ed Mathews, and

0:41

this is Real Estate Underground.

Ed Mathews: 0:45

Greetings and salutations real estate underground. It is Ed Mathews with the Real Estate Underground. Thank you so much for joining us today. Today I'm really excited because we get to talk about something that is near and dear and that is technology and real estate and a whole bunch of other things that I'm very excited to, to talk with, with our guest. Before we get into that though, thank you so much for all of your comments and your sharing and obviously the the subscriptions and, and all that, it does help us grow. The more I hear back from you and our team hears back from you the more we can bring on. Identify and bring on really interesting guests like our guests today. And it helps us grow as well. So thank you for all of that. And with that, I would like to, to welcome Alberto Rizzoli from V7 Labs. He is been very kind to, to join us. I believe you're in London today, if I'm not mistaken, right?

Alberto Rizzoli (V7): 1:41

I am, I just returned from, from San Francisco, so the long 10 hour flight. But good to be home. It's getting close to, to Christmas and yeah, fantastic time to be in London and good to, good to be here, ed.

Ed Mathews: 1:53

Yeah, welcome. And it's one of my favorite places in the world. It's just an unbelievable city. So for those folks who haven't discovered you or your company, why don't we talk about that first? Why don't you tell us a little bit about yourself and what you do for a living.

Alberto Rizzoli (V7): 2:05

Excellent. In two words, V7 is a workflow builder. In more words, it allows companies to build AI agents that are very good at completing document workflows and any back office and middle office process that we generally don't like doing, but we have to do on a regular basis. And we started by understanding documents incredibly well. So for the most common use case that is just, just a matter of abstracting is Lee's abstraction in the world of real estate. And periodically we added more and more intelligence to it. So it can act as an employee that is an expert in one particular task, and it will do it perfectly and consistently every time. Rather than just asking chat GPT to do an analysis and then each time you need to verify its work, it might not do it the same way each time. V7 lets you create these very informed workflows that will give you consistent and verifiable answers that aren't able to hallucinate, and it'll give you an output that looks exactly like something that you would. And the goal ultimately is to turn all of these operations, these internal operations that take a lot of time and that don't give us a lot of joy into things that you can delegate to ai, and then move on to the more creative and interpersonal sides of of anyone's job.

Ed Mathews: 3:27

I'll tell you as a, as a real estate person, even when I was in the tech world paperwork was the bane of my existence. So for you to be creating what you're creating, I'm. As a person who eshews paperwork I am very grateful. I mean, it's interesting from a, from a real estate operator's perspective, you don't realize how much paper, virtual or otherwise flows through even a small company, right? I mean, in terms of, I mean, I'll use, I'll use my company, Clark Street there are. Purchase and sale agreements. There are addendums. There are leases there are you know tenant and resident communications and a whole host of other unstructured data that just flies through this office. And, anything that we can do to either. Capture and, and store so we can go find it later or better still create, which is something that we've gotten, we're starting to get pretty good at here. Yes, I'm talking about chat, GPT and Claude and the apps that we build and, and all that. But your company brings something very specific in terms of value something very unique to the marketplace, and it was one of the reasons I was so excited to have this conversation. So tell us a little bit more about V7.

Alberto Rizzoli (V7): 4:45

Yeah, of course. So first of all, what you're describing is the model of purgatory. To me, if humans were to imagine purgatory. It would basically be a bureaucratic state of of perennial existence.

Ed Mathews: 4:58

Yeah.

Alberto Rizzoli (V7): 4:59

And we are living in the future and we created a future where purgatory is the day-to-day life of most of us. And from a, from a mission perspective, I hope we can draw people out of this and give them the tools so that they can just leave purgatory to the machines. And, and really one of the cohort, one of the core aspects of, of V7 that we really focused on is giving people the ability to build their own workflows and to improve them over time. So we settled on a user interface that looks like two familiar things. One is a spreadsheet and the other one is a workflow builder, effectively a system of nodes and connectors. And they, they all represent the same thing. They all represent the information journey that the AI agent is taking. And people generally don't love spreadsheets, but at least the spreadsheet you only have to look at once when you're effectively building the AI with every row being the task that it's completing, and every column being the subtask. So the the specific step in a flow that it's doing. And it worked incredibly well because the, one of the tenets of AI is, is the context, the input context that you need to give it, for it to complete a specific task. So if you are a, a real estate investment firm and you're evaluating an offer memorandum, your input is probably the offer memorandum. And then to turn it into an investment memo or an investment decision, it's usually a seven to 10 hour process that involves all this financial calculations, all this looking at comps, looking at your own portfolio, looking at the nearby businesses, and you have to do this every time. And if you were to be able to write it as a set of steps in a flow, a set of rules, effectively, you could turn that into a rubric for an AI to follow that will do this work. Quite diligently and leave you with the final results. And the final results usually take only 15, 20 minutes tops to review. And the goal is to make them look better than something that you would do yourself. So it kind of needs exceed expectations and then require very little human review. And the way we did it is by allowing AI to break down really large and complex tasks into smaller and smaller steps. So many people have used tools like Zapier, for example, as a very popular workflow automation tool that takes information from an app and spits it into another. And what was missing was the, the meat of the sandwich in between where sometimes you might get an entire document from your email, but then you need to do a lot of work with this document before you can put it back into Yardi or into the CRM. And that was the unserved component of like actually getting the work to be done in the middle of the, the workflow that V7 allows you to do. And we work with companies that have workflows with 12 steps in them and some that have 120 plus steps that represent the actual work that a person does internally. The reason why this breaking down into small steps is so important is that AI is generally trained on question answer pairs. So it's very, it's very familiar with a question and how to give an answer. It's very unfamiliar with, here's everything we know about this company, or, here's everything we know about this building. Tell me if I should invest or not.

Ed Mathews: 8:24

Right?

Alberto Rizzoli (V7): 8:25

Because those are like three, 400 tasks in disguise and under the guise of one document. And that's why people are upset with open-ended tasks where AI gets lost. It doesn't get lost because it's stupid. It is simply very unfamiliar with such a large index of tasks. And what we allow folks to do is to define the specific checkpoint steps that it needs to take when it's developing one of these flows. So you're investing about an hour of your time into developing a good workflow, but it saves you 10 hours from the next task, and it will save you this task every time it needs to be repeated.

Ed Mathews: 9:00

Yeah, it's interesting. So, given, given my own background, I have this conversation with my colleagues in real estate world all the time and the, it down similarly to how you just described it in that, one of the things that AI is really good at, especially if you get the, the upfront. Prompting the instructions Pro get, get them down is they're very good at turning all this information or all this data, right. Documents and spreadsheets and everything into actionable information. Right? And so that's, I I couldn't agree more that I think that that is, one of the key objectives here in that, how do you turn a 50 page offering memorandum into a, an investment decision? Right. not have to go through hours of analysis. and obviously it's not perfect. You, you're not gonna do, you're not gonna get to a hundred percent. But heck, even if you get to 80% you are well ahead of most people who aren't taking advantage of this technology. Yep.

Alberto Rizzoli (V7): 10:11

Yeah. And you'd be surprised by how many things actually end up. Getting to 99% without too much effort. That's also one of the, the hard things about AI is knowing where to start with your automations, because there's nuance into there. There's some tasks that humans are very good at and AI is terrible at. And there's some tasks like reviewing financial information that ai. Incredible at and humans are not great at, but they, they have a lot of anxiety because they are not great at it, and they assume that another person will do poorly at it. And that other person sometimes is the personified version of ai. The best antidote to that is to start start before you're ready with it and to begin with some small automations about your firm. And that will almost unlock is working with AI is almost like working with a, a different species. Where it has a lot of differences to us and that has a lot of things that it's incredible at. And the best way to learn it is, is not to read about it, but to start using it in your professional work in a safe way. And that will almost open your eyes to all the things that. You could do as a business with this added added tool. And the, the outcome should be to be able to imagine what your company is going to be like in five years, whereas more capable, more prevalent across the, the business environment and starting early with it, having, being the company that can do so many more things one year ahead of the competition means you could probably 10 x what you're doing. With with properly developed AI agents and with the, with the proper tools and it can be transformative and we're, we're in a period of time in which everyone is rushing to build the best ai. The adoption of AI is growing at a slightly lower rate than its ability to learn. And so there's an opportunity for arbitrage in a way where the businesses of the future and the model of the business future are being defined now by the businesses that know what to give to AI. And what to leave to humans. And, and that second part is also really important.

Ed Mathews: 12:15

Absolutely couldn't agree more. Yeah, it's you need to understand the, the limitations as they are today, but it's ever evolving. So if I were running well, I am, I'm running a a real estate investment. Firms, know what are some of the things, like what are the, the next steps for me as this, if you get on YouTube or you watch the evening news or CNBC here in the states, or, any business channel there's a whole lot of talk about AI and it's, it's a fire hose of information and, it can be overwhelming. And, and most of colleagues in, in this space are, don't come from technical backgrounds. So they require, guys like you and me to translate, okay, here's how you use this in your business. So let's, let's get down to that. If you were sitting with a. Private equity company that is managing say, a thousand multifamily apartment units. What are some of the business areas that I should be looking at to leverage this type of technology?

Alberto Rizzoli (V7): 13:24

There's the growth side and then there's the operational side,

Ed Mathews: 13:27

Okay.

Alberto Rizzoli (V7): 13:28

and they're both equally important. Just one is a top line opportunity, and the other one is bottom line, on the bottom line. They, they feel fairly obvious. So all of your operational tasks related to this thousand set of properties all of the rent rolls related to it, the operational cost, the vendor management as well as the use case that I mentioned earlier, like to the abstract all of your leases and build up a workflow so that if there's any addendums to them, they get automatically populated. This will make your opera operational team a lot happier. And it will also change what the landscape looks like for you as you grow. If you have built the right foundation for growth in a business, then the next time you add 200 properties to your portfolio, you don't actually have that much of a, of a cost base below it because you've already developed the right automation with the right people that you already have on board. So you're effectively giving your operational team these initial superpowers. If you haven't built anything with AI yet, you may wanna just start by playing around with the chat PT on it with Gemini, with with Claude Philanthropic, and just giving it a document and asking it, what, what information do you can, can you extract this information for me? It won't give you a perfect answer, but it will at least give you a, a sense of confident that it's fairly capable of a tool. And then when you feel ready. You can get in touch with V7 or there's other tools out there for different sides of the automation and real estate. V7 is a fairly generic workflow tool that also operates in, in some other industries, but generally specializes in knowledge work. So it's not made for coding, it's not made for drawing pictures, it's made for doing all this document heavy operational set of workflows. And vendors like ourselves are usually very happy to help our customers build their first automations, and most of them even offer it as a service. Because we understand that we're not dealing with writing poetry where you're able, you're happy to edit it afterwards and if there's a one verse that is wrong, you're fine. But you're, you're dealing with financial information. You're dealing with expensive assets, and so it needs to be perfect. And that is the, the learning process of the first three months of building workflows with AI is in a big way to understand how reliable it has become over the last year and how viable it actually is. We, we process hundreds of billions worth of transactions as we seven through code, through ai. And and, and, and that is, that is error free. So it's just a little added confidence that it, it, it's gotten to a point where we can entrusted with, with important things. And then those folks are also good at, at letting you know what are the right use cases to, to get started with. If you want to explore that internally the, the best things to start tackling with AI is anything that you do on a weekly basis, and it takes you more than an hour. That should be a good qualifier for ai. Could be a good replacer for this if it's something that takes less than that or is less frequent than that. You can still use AI as a co-pilot of sorts while you're working on the document to ask specific questions, but it's probably not worth building a workflow for just yet. And then as you, as you scale if, if the, the growth side of it, which is actually where most people prefer to get started, because they, they want to, they want to grow before they save money, is exactly the, the, the mentality is always about, about growth. Then look at your due diligence pipeline. Look at your effectively your growth pipeline, and if you can. Draw it on a napkin and see where the majority of time is spent. The biggest block is the first thing you should build an AI model for. And usually it's some form of due diligence. And AI is incredible at due diligence, but then there's another element. Which is is not about doing actual work, but it is the lead time in between these blocks, and I can guarantee you that that is actually the largest factor in both operational sides of things and growth. Most of the time that we spend doing anything, we don't spend it doing anything at all. It is a time in between a request and the fulfillment of that request, or at least the start of the fulfillment of that request. Is where most of our lives go to, to, to effectively disappear. And the, the feeling it's, it's hard to quantify, but the feeling of being able to receive completed work on tap is incredible. The opposite of it will be the equivalent of, instead of being able to do a Google search, you have to go to a librarian and ask them for a specific book. And then, 20 minutes later they'll come back with that book, and then you have to flip through the book to complete it. And we're now in a Google search era with AI where if you need to review a document, if you need to review an NDA, one of the things that should take really, extremely small amounts of time to do. You can give it to an agent, it'll give you an incredibly good response afterwards. And so creating this new way to work is, is, is part of our mission in a way. And it's it, it's really about reducing all the time for knowledge work to seconds rather than hours or days.

Ed Mathews: 18:44

It's interesting. So, you think about process, right? And, of the keys, and I, I, you hit upon it, but I want to, I want to kind of drive it home. one of the keys, when you look at a business process and you say, okay, here's an area of our business that we could potentially automate. You need to look at it in three specific ways. One is from a process and systems perspective, and what are the underlying tasks of that system, for instance. I need to create leases. Right? And, but, but also you also need to think about a, what happens right before I need to create a lease? What is that process? How am I receiving the information, the documents and whatever. And then on the backside, once that lease is done, what are you doing with it? You need to understand all three things when you go to automate and utilize a, a capability like artificial intelligence, you know. It's interesting. One of the things that, that I think you touched on, I think I heard you touch on it operationalizing leases. Right. I mean, when we're in acquisition mode, we're buying all these properties and with them we buy a whole bunch of leases. And those leases are the, basically the agreement between the entity who owns the building and the human beings that live in the building. Right. And. As you acquire, you realize that, the 50 over here and the 200 over there and the, 300 over here none of those leases are the same. And so to run an operation, using a, a capability like V7 is, is really. I would submit, and correct me if I'm wrong an opportunity right, is because you can identify, okay, here's where there's commonality within all these leases. Here are the outliers. And then you can move towards, when it comes time for renewal, it provides you with an opportunity to start to operationalize all of the leases that you have outstanding, all that paper. So that. It becomes a whole lot easier for your internal staff to, to manage relationships with your residents, for instance. Yes.

Alberto Rizzoli (V7): 20:49

Exactly. I was surprised. So I come from a computer vision background. A big part of it is document understanding how few firms that process myriads of documents use document understanding tools. And I think the reason is a lot of these were still required a whole bunch of technical setup until maybe two years. And leases are probably one of the more commonly scanned documents within, within AI and within V7 and also amongst the most reliable because you, you have a very expected set of metrics that you're extracting from it. It's a legal document, so it has to state some metrics fairly consistently. As opposed to say, an investment deck where some people might have different ways of calculating some revenue numbers. And then there's the, some people focus on, on, on people, some on product, et cetera, et cetera. So we, we actually just released a, a, a free lease abstraction tool because there are a few ones online, but they're, they're, you need to buy them. And then the, the configuration wasn't great. So if you go on scan my lease.com so scan my lease all one word.com. You can try it and it gives you kind of a glimpse of how V7 works as a document extraction tool and it's, it's 100% free. And then if you need to scan a thousand of them, you can buy the product. But if you need to just get a taster of it or just do a few that's, that are in your hands you can do that. And also customize what information you want to. To pull from it and, and in, in what format? And that this is hopefully the result that AI will give us is it will draw a lot of the time that we need to do things down and also the costs that we need to spend on external consulting or BPOs or things that, again, generally we do them as a, as a grudge as opposed to with with absolute joy.

Ed Mathews: 22:42

Absolutely. Yeah. Yeah. Rationalizing leases is not first on my list every day. I would rather not do that. In fact,

Alberto Rizzoli (V7): 22:50

Yeah.

Ed Mathews: 22:50

about 97 other things I would rather do than that, but it's part of the business and you have to do it. And so okay, so with that, let's let's move on to the lightning round and then we can get back into the, to the tech a little bit. So obviously you've, you've built a thriving business and you're, you've done quite well and you probably don't need to work and yet you do. Right? And so it's one of the things that I admire about entrepreneurs, especially. Tech entrepreneurs is they still get outta bed on Monday morning and go to work. And so I, I view that as purpose. you're doing it for something other than the money. So what is that purpose for you?

Alberto Rizzoli (V7): 23:29

Yeah, excellent question. It is to, to the, the purpose of V7 is to make work matter. And the fastest route to making work matter is to eliminate everything that doesn't matter. And in many cases, things that don't matter are things that still have to be done but that are not that one thing that you really should be doing. We all have a, a, a dream of what we wanna be in life. And all the work that V7 takes care of. Is the stuff that we almost procrastinate towards even though we, we usually procrastinate towards not doing, but it's kind of the, the things that are stopping us from solving the big hairy problems and the big hairy goals that we want to give ourselves.

Ed Mathews: 24:12

Yeah.

Alberto Rizzoli (V7): 24:12

And I do that for myself as well. So yeah, I think it's, it make, making what we consider work actually feel like it matters.

Ed Mathews: 24:20

Cool. All right. I'm also curious about the mentors you've had along the way. So excuse me. Tell me about the best advice you ever got and who gave it to you.

Alberto Rizzoli (V7): 24:32

Probably the, there's one phrase is fear and anger. Give bad advice. And that's from my CEO coach Matt Mosy. And effectively all the bad decisions that you tend to make in a company are either results of fear or results of anger.

Ed Mathews: 24:48

Yep.

Alberto Rizzoli (V7): 24:49

Anger is actually a lot easier to solve than fear. I think fear almost never goes away, but you learn to embrace it and to understand it. And it, it, it goes all levels down, obviously. In leadership of a company, you need to make decisions that are very scary. But almost always, if you start looking at the lenses of, of life and of decision makers through the scrutiny of whether there's fear or anger behind something, then it will be a really good guide towards helping you discuss like, what, what is really the force behind this, this decision of doing or not doing something.

Ed Mathews: 25:27

Excellent, excellent. It's interesting when you are, in a state where you are coming from a place of either you're, you're angry about something or you're afraid of something and who isn't, right? the, you, you decision making process processes almost always flawed. So great advice. So let's talk about a, speaking of decision making. Let's talk about a decision you'd love to have back. I fundamentally believe that we learn way more from our mistakes than we do from our successes. so I'm curious about a decision, as you look back on your career what's a decision you'd love to have back that? And I'm curious how you handled it.

Alberto Rizzoli (V7): 26:13

It's every time that you build something for other people rather than for yourself and where you want to be. And. In many cases, we start doing this with decisions about our lives that we do for others, for our parents, or for someone we admire that thinks in a certain way. But actually no, no one will ever be you. And, and the things that you should be doing are the ones that you're a little bit afraid of doing. And, but like, or you feel like they'll have an upside on the other side as an entrepreneur. It's very tempting to always listen to all of your customers and do things that ultimately they want because they will give you revenue, and revenue means success. But in many ways it's a route towards failure because you're also someone that is choosing this odd path because you want to build something credible that's in your head. And every step that you're doing towards non materializing that that idea in your head and anything that doesn't excite you, that other people are requesting and you, you end up doing is a step back from there. And it sounds fairly selfish, but it's one of the only ways to, to really be successful is to. Turn your vision into reality one step at a time, and usually the vision that you want to turn into reality is the hardest and the one that takes the longest, and you have to stick with it if you want to be the, the the one that makes it successful. You can't take detours from it.

Ed Mathews: 27:36

Yeah, it's managing a product roadmap or managing a customer service organization like a, resident support and a multifamily. Business where you're dealing with investors, you're dealing with residents, you're dealing with vendors. if, if you take the advice of everybody you're not getting anything done. Right. And in, in a lot of cases, I, I think that having, being crystal clear about the direction of the organization the operating principles and, the roadmap, so to speak. Allows you to respectfully say yes and no to certain things so that you can, keep that business operating on the, keep it on the rails so that you're achieving the, the ultimate goal or the ultimate vision that you've created for the company. Yeah.

Alberto Rizzoli (V7): 28:31

Eight.

Ed Mathews: 28:32

Yeah.

Alberto Rizzoli (V7): 28:32

I am 100%.

Ed Mathews: 28:34

All right, so I'm curious about, like yourself. You're in constant growth mode, right? Whether you're growing your business, you're growing your people, and hopefully you're growing yourself. So I'm curious about how you sharpen the sauce, so to speak. How do you take in information? Do you read books? Do you go to conferences? Do you watch YouTube videos, podcasts, and and mo and also, who are you paying attention to?

Alberto Rizzoli (V7): 29:01

I, I learned too late that one of the best ways to grow yourself is to take a little bit of time off. The, the grind is great for executing, but stepping out of the grind is great for sharpening the saw. And in a way, when you do that, the sha actually, the saw actually kind of upgrades itself. It doesn't just get sharpened. In terms of books. I have recently been mixing things that help me and things that are just generally interesting. So the, the last two that I read, the, this month of one is a bit out. It doesn't have much of a real estate connection. It's called Blitz and it's the growing use of pharmacology products during Nazi Germany. It's quite a interesting and bizarre book, but not, not probably one conducive to this to this podcast other than. The interesting tidbit that Pervitin, which was an amphetamine that was discovered then was being advertised as a way of getting you to work on your home renovation for 24 hours straight. So perhaps do not take that advice, but it is, it is a,

Ed Mathews: 30:03

they

Alberto Rizzoli (V7): 30:03

a very well documented book. Yeah. Yes, I know, I know. It might be the new pervert.

Ed Mathews: 30:08

Yeah.

Alberto Rizzoli (V7): 30:08

The other one is a book that I read every couple of years. It's very short and it's called Do the Work. And it's it, it's really an inspirational book about embracing the. Hardness of what you need to do and getting to what they describe it as the belly of the beast. Until you're there, you're just pretending to do the work. And basically facing that one big, hairy task head on and getting all the way through to the heart of it is the only way in which you will become a better person and you'll be able to delay the next piece than the one after that. So it's a short kind of one to two hour read that you can enjoy on an airplane.

Ed Mathews: 30:45

Excellent. Excellent. All right, that's a new one. We're gonna put that on the reading list. All right, so last but certainly not least, how do you define success in your life?

Alberto Rizzoli (V7): 30:55

I think so one common quote is like, truly obtaining what you want is the key to success. But I, I think it, it's in a big way, it's learning to appreciate failure is how you get to success and also you get to happiness.

Ed Mathews: 31:11

So.

Alberto Rizzoli (V7): 31:12

Where we, we are wired to not be happy all the time. It is impossible to, to do so, and the trap is believing that your unhappiness is a punishment. When you start to see it as this opportunity for learning what makes you unhappy and then, striving towards solving things and knowing that every time you solve something, it makes you more at peace with the world and more incredible as a person and more in a way harder to annoy, harder to defeat in an argument like the, it is just this. You can see it as this incredible gift that every failure that you encounter. Actually adds to your experience points. Every success makes you lazier, and you need to have that right mix and you need to embrace the, the downsides as teachings and, and gifts and make something great out of them. And then you actually start to like failure a little bit more. And that improves whenever it happens. It's a, it's a mind trick that I've been exploring.

Ed Mathews: 32:19

Interesting. Interesting. All right, sir. So when you're not talking about technology and artificial intelligence and helping real estate investors run a, run a time. Or ship. What do you like to do? How do you spend your time?

Alberto Rizzoli (V7): 32:34

I like being in nature and hiking up up mountains. A very stereotypical softer person thing because we, we just look at. Plants and the path in front of us instead of other people. And recently I've been trying to unify my family a little bit more, which has been a, a great project. I think after you turn, turn 30, you should start. Kind of building this like what do I leave behind it in a way that the, the people in your family are the only legacy that kind of sticks around by manifest. So yeah, the planning family reunions and and things like that has been quite entertaining.

Ed Mathews: 33:10

Nice, so. people wanna learn more about

Alberto Rizzoli (V7): 33:13

I.

Ed Mathews: 33:14

or V7 what's the best way to do that?

Alberto Rizzoli (V7): 33:18

It's following me on LinkedIn at Alberto Rizzoli, R-I-Z-Z-O-L-I. Or on Twitter if you're there. And I post updates fairly regularly about what, what I've learned through, through building V7. So you can follow me there or you can reach me via email at alberto@vsevenlabs.com.

Ed Mathews: 33:37

Right. Alberto, thank you so much for joining us today. It's a pleasure to see you. And I wish you continued success.

Alberto Rizzoli (V7): 33:45

Thank you so much, ed. Great to be here again.

Speaker: 33:53

This has been the Real Estate Underground Podcast. Thank you so much for listening. Don't forget to rate, review, and subscribe. It helps us grow. Until next time, happy investing.