October 21, 2025 • 38 mins
Avi Hacker (AI Consulting Network) shows real, working playbooks for real estate operators and boutique law firms: custom GPT personas (email, underwriting, investor relations), deed-level owner pulls from ACRIS, and a multi-agent pipeline that returns a sourced property brief in ~20 minutes. We cover where AI fails, how to verify, and what to deploy in week one.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:01):
Hi everyone.
Welcome to another episode of Get Real, get Wiser.
Today we have Avi Hacker, an AI specialist, go ahead Avi, let us know who you are.
thank you so much for having me.
It's a pleasure to be here and I'm really excited to get into AI and.
it could help the real estate industry.
my name's Avi Hacker.
(00:21):
I founded the AI Consulting Network and my bio, I'll keep it on the briefer side So someone might see a person graduated.
an accounting degree and then worked at PWC, went to law school, now end up doing AI consulting and that the beauty, I think perfectly sums up what AI is able to accomplish.
(00:49):
The everyday person.
I graduated college with a public accounting business management finance degree.
my original goal was the CPA, so I worked at PWC for two years in the risk assurance division doing soc one, soc twos, really getting good understanding around security and automation, which Is a great background for me to have, but at the time I didn't fully appreciate it and I didn't enjoy it so much.
(01:15):
So then I transferred to law school and started working for a solo practitioner doing real estate and corporate law getting a great background in understanding LLCs and corporations.
They were just fascinating to me and the whole estate industry as a whole.
when Chat GBT came out, in the middle of my law school career, I was kind of playing around with it.
(01:41):
I had this moment that is gonna really change everything because.
Everything was so manual, everything was so inefficient, I was just exploring and adopting, okay, like how could I do this better? And I had no tech background, no coding background, so I was starting from zero.
the more I dove in and tried to learn how to utilize these tools, I realized what large language models were and different capabilities it's not just chat out there.
(02:09):
it opened up this whole world to me.
at the end of law school I pushed off the bar and decided to launch my own company, helping.
Small to medium sized businesses, in the real estate industry, I really love the real estate industry and there's stigma that it lags behind in AI or tech adoption So I just wanted to really target that industry and help people out helping people do the work that they wanna do instead of the.
(02:41):
Tedious task that they're, Right, they have to right.
We'll get into all those details.
So here's my surprise for you, Avi.
I think last week you posted that when you have a meeting.
With somebody, you are scheduled to have a meeting.
You actually have that meeting in AI with them before you actually meet them.
So I don't know if you did this podcast in AI before we had the podcast, but I did.
(03:06):
Oh, really? Yep.
I got my script, I got our whole meeting transcript and let's see what happens.
I mean I won't know when this is over.
I'll have to go back to the two transcripts and compare, but I'll be sure to let you know how I did.
Did you do the same? I want you to let me know how I did compared to my AI self also.
I will, be happy to send you the transcript.
(03:28):
Yeah, so I actually did not do that for this podcast.
I usually do, but I did go to your YouTube channel where you did the first podcast there was this new thing called Perplexity Comet that could go through YouTube videos.
So I just asked it, give me all the questions you asked and the format.
(03:48):
And then I was.
Said, can you go to his LinkedIn, go to his website, gimme a full description, and then it just took over my screen and started doing it all for me.
Wow.
are the steps that Right, in a couple of minutes you could have a full bio, ready to right.
matter.
Okay, so let's go back.
For you, it's not that many years, I don't know, 20 odd years.
(04:10):
Well, not to the day you were born, but childhood.
Were you a tech guy? What type of guy were you? Were you a sports guy, a tech guy? Studious, troublemaker.
Growing up.
I didn't always care so much about school or grades I not to say like I was doing bad in class, it was just I didn't know what I wanted to do, so I was kind of just going through school, no subject was particularly interesting to me.
(04:38):
in college when I didn't know what to do in my career, I was like, you know what people say accounting a great catchall.
So I picked one of the biggest majors I could find in Brooklyn College, which was accounting, business management and finance to get the full credits to take the CPA exam.
So I figured, I'll cover all my basis, A background to then try to see where I want to go.
(05:02):
That's pretty cool because I actually grew up in Brooklyn.
I went to Brooklyn College and Oh, really? that I didn't know what I wanted to do, I probably don't wanna do anything.
So my father said, why don't you do accounting? Because that's something you'll need in life, regardless.
Of what you do and there's not that many other like specialties or things that you can really learn in college that will be better than that.
Are you a Brooklyn boy? You grew up in Brooklyn? I grew up in Brooklyn, in Mill Basin.
(05:26):
Mill Basin.
Nice.
Do they still have the tennis courts there? I used to play there when I was a kid I think Two huge tennis bubbles.
I guess they used the real estate for something better today.
Yeah.
Okay.
Interesting.
Great.
So, let's jump to accounting.
you did your accounting degree, so you obviously did well in school.
You got a good job.
(05:47):
And you're sitting in PWC thinking, what's with my future? Is that what you came to work thinking every day? I was slowly starting to feel like I was working long weeks, let's say 60 to 80 hours during busy season doing auditing these big companies, these processes.
it felt like.
(06:08):
I'm working so hard, I that I jumped to entrepreneurship if I'm working so hard, I want to be doing it for myself.
the work I was doing, felt Cumbersome and it wasn't making a difference.
sometimes I would just be updating dates on a spreadsheet or looking through workflows to make sure nothing changes.
for a soc soc report, like are very important to issue the statement.
(06:33):
But for me to show up to work every single day, wasn't like.
Getting, like getting excited just sit in a cubicle and do this type of work like anyone could do it and like I could achieve something more.
you spoke about feeling that you wanted to do entrepreneurship.
(06:53):
what was the light bulb moment that made you switch gears and say, okay, law school.
so the entrepreneurship came later towards the end of law school, but from law school I interacted with a couple of legal teams.
Within PWC I just found that work more interesting, the legalities, the thought process, the thinking around certain clauses I thought it was very interesting around like the nuance and interpretability little things could have really big impacts.
(07:22):
I thought that was very interesting.
So you know what? I'll make the jump to law school.
And then obviously you started your company, but why, like you didn't wanna take the bar, I mean, you made it all the way to the finish line and just one drop to go to become a lawyer.
two months ago I did sit and take the bar.
(07:42):
I am still waiting for the results.
I made the decision towards the end of law school, a year and a half ago to push off the bar for a year was gaining knowledge around ai and the more I to people, the more I saw that people weren't utilizing it.
I knew I was early to people figuring this out and there was so much noise out there I felt I had a good grasp on understanding and applying it.
(08:07):
So I decision to not study for the bar right after graduating and launch my company to start getting traction.
So I'll gain traction with my company, start building a social brand on social media, and then once I have a bit more traction, for the, like, that was also a lot of fun.
(08:27):
I took half days of my calendar, so I was studying for the bar for seven, eight hours a day and then working the rest of the day to keep up my company and then take the bar.
I still wanted to achieve the license.
Not that I'm gonna do anything with it this second, but yes, because I ready to go to law school and it Right, just to give that out.
(08:52):
Well, I applaud that decision because things are moving so fast.
cutting out for three months is probably gonna put you right back to where you started you come out to a new world, like going to a cave for three months and coming out not even recognizing the world you've been in.
But I got questions about that too.
Okay.
But let's start talking.
Let's dive into AI a little bit.
Yeah.
what is it that you do who are your clients and what is the product or service that you provide? So I help estate professionals, small to medium sized business owners go through their process and understand where they could leverage AI for their biggest bottleneck To help them grow.
(09:31):
If they don't wanna hire more employees or they have just too much work on their plate, I help them understand how to utilize the current technology and apply that to their businessGive us some real world examples.
You come into a company, give us a client that you had, what exactly you found.
What type of firm was it? How big, what were their goals? What were their pain points, and how did you solve it? I was working with a multifamily real estate syndicator, he's the head of his company and was managing everything from raising for deals, marketing, underwriting, everything by himself.How
(10:07):
many people did he have working for him? it was just himself.
Oh wow.
Yeah.
So So, team.
yeah.
one of the most underutilized things I see.
Within chat, GBT is the custom GBTs feature, people just don't know about so they don't know how to apply it I help build personas for certain actions he would take daily now if he wants to write an email marketing campaign, we could build custom GBT, the role, instructions, knowledge base.
(10:39):
So any time do That task, just go to that custom chat and it'll be formatted perfectly Or let's say now you wanna underwrite a deal.
you think of these as, I don't wanna call them people, but it's like personas where you could do each persona for each different task.
once everything's set up, you go through each persona when you want to do that task.
(11:00):
It gets done so much faster.
you have a draft of what you want to do, you review it, make a few edits, and then you're basically done.
that's the beauty of ai.
how many personas did you build him? I would say, maybe like six or I tried, my approach is to teach the person to level up in their skills as opposed to just try to build it out and give it to them and, walk away because everything is evolving so fast and I see it's really more of a knowledge adoption issue because people can't keep up.
(11:34):
I'm spending all day, every day.
with the latest technology.
keeping up to date on what's possible.
one of the biggest issues I see real estate people is finding proper owner information.
when I started chat, GBT wasn't able, wasn't able to connect to the internet.
(11:54):
So.
it wasn't helpful finding property information.
once it got the internet feature, you scrape certain people's data.
like, okay, can you try to find owner information for property? It was speeding up the process.
then there was the pain point of information on a deed or government websites, and you would have to click through pages or different login methods.
(12:17):
there were services you hook up through a custom GBT spin up your own browser And do much deeper research on finding property owner information.
one of the use cases I was constantly trying is in New York, to find a property owner, on the deed, you would log into acris type in the block and lot number and then pull up the deed, find out when the property was sold, and.
(12:40):
wasn't really possible 'cause it was just scraping surface layer data.
But then chat GBT agent was released and also Perplexity Comet.
I did a live about those two okay, find me the property owner information for New York.
if it didn't have the block and lot number, it would go to, Zillow or Redfin, to get and not lot number, then I go to acris.
(13:01):
'cause it really depends on the quality of the prompts to guide the agent.
And it would click all the buttons, fill out all the forms, pull up the deed, scan the information, and then get you that information Like the source of truth from the actual deed on when was the property sold, who was on the deed, like how much was it sold for? what's the description? this is all available through chat, GBT itself.
(13:26):
I know you're a lot younger than me, but since I'm talking to you, I'll say one thing that's sick.
it's really, a whole.
New way of thinking.
And when people don't know that something like that is possible, I feel it's such a limiter that once I tell people what I have done, then they start to think bigger.
(13:46):
And I think AI is really that force multiplier where you give one person with big ideas and now you're able to achieve.
What you were able to achieve Yeah, I mean, that's incredible.
So let's go back to this multifamily syndicator.
you built him an office of 10 employees.
what was his reaction? his workload just now dropped And.
(14:09):
Life just became it.
It's like, you know, I always tell my wife, I feel like I'm living in Bewitched.
You just like twitch your nose and whatever you want.
It just happens.
But the stuff you are telling me, I thought I'm gonna get on this podcast and say I don't get it.
I can do everything you can do, but the stuff you're telling me is Even more mind blowing than all the mind blowing stuff that I do every day, and I'm blown away by the stuff I do.
this is really incredible.
(14:31):
yeah, there's always another level One of, the purpose that I set out on this journey was I feel like there's always more to life to actually get out of life what you want to do besides just the grunt work.
he wants to help people raise money.
and just get more out of life.
I'm trying to also help people.
taking away That extra work that isn't needed to be done by you every single time.
(14:54):
Which is taking up 90% of your day.
Exactly, but not automatic.
sometimes you see those really big systems that run autonomously and people aren't observing.
But I believe you have your ideas and know what you want to say, you go into the custom personas and say, okay, I want to build out this marketing campaign.
(15:15):
This is how I want it to sound.
It'll draft it for you.
Then you edit.
So it's not fully automatic, but.
The whole process is so much quicker.
he told me, and it was so nice to hear, that he was able to spend more time on the weekends with his family and more time with his kids because of what we were able to achieve with offloading a lot of that brunt work with ai.
(15:40):
just the thought of him having to fully staff.
his Operation, right? So now he's gonna have to start interviewing people, hire people, train people.
He won't like half of them.
They won't do a great job.
The ones that he does keep and then all of a sudden, a little smoke and then all of a sudden pairs all these dream employees out of nowhere that he controls.
(16:01):
exactly.
and if you don't like the output or if it's not acting in a certain way, that's.
I like to meet with people, let's say once a week or once every two weeks on a retainer basis.
Going through their day, seeing what's working, what's not working.
'cause if it's not outputting the output you Mm-hmm.
So like, why? we'll go into the instructions maybe we need to tailor those instructions a little Right.
(16:25):
in the knowledge base, whenever people tell me that it's not helpful, it's really more of a.
Have you dug into it enough? How are you writing proper instructions? Are you using the correct model? Mm-hmm.
at some point Chat, GBT had eight different models you could choose Right.
So it happens to be that each model is.
(16:47):
Specific for a Mm-hmm.
So if you were trying to review a lot of due diligence documents or title reports and they were too big for chat then I would recommend using something like Gemini because it has a bigger context window, ingest all of the documents and remember all of the data.
That's why I call myself a fractional Chief AI officer, where I come in and give you straight advice on, what are you dealing with? What tools should you use? How should you use it? And then you're on your way.
(17:18):
I love it.
what's your business model? You consult for them on an ongoing basis or it's a one-time fee? How does that work? right now my business model is, I like to approach it as a month by month Mm-hmm.
where we meet an hour a week and then go through your day, you fill out a questionnaire and then we start.
(17:38):
one of the most useful use cases that I have, I'm also modeling all of this.
I basically do the work of 30 people every day with all my things set up.
it's incredible.
one of the first things I do with every client is help them build out their own custom GBT, their own personal AI assistant or digital twin, whatever they like to call it.
(18:01):
So I have them send Their entire background, their website, their resume sample emails they've written, things they've published online.
then I perfectly curate a prompt that would embody them as their own, Twin and put their stuff of their objectives, their past, knowledge base? I give them a digital twin of themselves.
(18:26):
they strategize with themselves.
think of ideas on what they want to take the company with themselves.
And now you basically duplicated just bouncing ideas offthemselves.
Wow.
that's amazing.
So now anytime I have ideas on how I want to move forward, I turn on chat, GBT, go to my custom GBT, and talk to it I do have that experience of connecting the dots and it's such a different experience.
(18:51):
right.
Give us one more use case.
So we have multifamily syndicator.
I'm tempted to ask you about a law firm, but I'll leave it up to you to tell me, you know, maybe you have a different example you'd like to share with us.
No, I did actually work with solo.
She worked in big law for like 15, 20 years.
Then she left to open up her own firm, so now she needs to streamlining her operations.
(19:16):
none of this is legal advice, just a disclaimer.
So like either always needs to be the human in the loop, but let's say for reviewing these large contracts or due diligence, a lot of people in law firms, have these templates that are kind of plug and play or based on certain deals.
And you see that in the real estate industry also.
(19:36):
But when you get these long writers contracts or appendix or addendums, there are a lot, if you want to quickly scan through it and there any red flags pick up right away before into over a hundred page document? And I still recommend reading every single word because AI might skip things, but it could just pick up things for you right away that you should just focus on while you review it, or if you are.
(20:01):
Redrafting something you could just say, okay, how could I redraft this that's buyer friendly and would focus on this provision Does this provision affect any other clauses in the contract? Because I've seen way too many times where people are recycling contracts and names from other parties slip through.
(20:22):
There are clauses there that shouldn't be Right, it just, it just like that last check that could save you from being sued for malpractice People don't like reading, and this might make people read but it adds layer of extra safety.
even if they don't want to use AI to draft, want to do everything what's the harm putting the contract in and is there any conflicting clauses? Should I be thinking about anything that could expose to liability? It that extra layer of protection for yourself Right.
(20:51):
Wow, that's interesting.
So my question is right now, Avi Hacker, people don't know much about ai.
You're in the forefront.
You are plowing the earth for them and you're teaching them how to use it.
Come a year from now, two years from now.
I don't wanna sound naive, so I'm never gonna say that People will catch up.
(21:11):
there's a limit to how much AI we need and how much AI can do for us, because I've seen enough in my life to know that it's limitless and it'll continue growing, and there will always be a need for an AVI hacker.
In 1898, the head of the patent office in New York said, we can close this office down because everything that has to be invented has already been invented.
that's the same naive statement I can make today, even though that's what's going through my head.
(21:36):
How do you stay relevant? are you afraid of.
People understanding ai because the problem with AI is, and like, you know, like every problem that people say, back then people thought it was a problem, but it wasn't.
And things kept on going.
But AI sort of learns by itself.
by definition, AI should answer all your problems at some point without needing a hacker because everybody will have AI to do everything for them, including think for them, right, including figure out how to go forward.
(22:06):
yeah, a hundred percent.
I think about that all the time, I think matter how good AI gets, there's always still the human component where people Don't know its capabilities, there's always be a need for someone to show the initial steps of how to properly leverage it in your company and what to do with it properly.
(22:27):
people have told me, why do I need to hire you? Why can't I just go to chat EBT right now and say, how can you help Tell to watch this podcast or to call me, I'll explain because I wasn't a believer a half hour ago.
I'm thinking, what am I gonna do with this guy? Who's some kid who thinks he knows Chad GPT? I use it every day.
What do we need him for? I'm gonna grill him.
I'm gonna kill him.
He's gonna walk away and he's gonna say, after this podcast is over, man, FEU is so brutal.
(22:50):
What do you do to me? And boy, am I pleasantly surprised? I mean, we barely even scratched the surface.
Like there's chat, GBT, clawed, perplexed, like I've tried every single large language model.
I've built my own apps, my servers and I do not know how to code.
I'm literally building out everything.
I cloned chat last week just to see if I could do it.
I wanted to get people on a certain platform and give access.
(23:14):
And that's what I love so much that any idea that comes to my mind, I could just do something about it that's why I love doing this so much.
But AI right now doesn't even know its own capabilities.
So when I was speaking with a client and he was reviewing transcripts for a large meeting that he was on, let's say it went on for an hour and a half and he would say, summarize what each person said.
(23:38):
So we went on our call and he is like, Avi, like.
putting it in, like you said, and it's always leaving out like five or six names and like I ask it, why is it doing it? And it says because it's too large and I just can't do it.
sometimes you could read its reasoning and it says like, oh, I'm getting lazy.
It's too large.
(23:58):
I'll just skim it.
So it's picking up a lot of human nuances when it's being trained on human data.
Then I was like, okay, what model are you using? So he was using the regular chat GBT five.
this was like when it was just released I liked it when there more models, but for the average person it's probably more helpful where it auto selects for you.
That regular model, also depends what plan you're on.
(24:19):
for the plus plan, you only have a context window of let's say 32,000 tokens.
So when you put it in, it's only gonna remember the first half.
So then I told him, okay, just change it.
Literally just one setting to chat g BT five thinking, and then.
Try it again and because that thinking model allows it to ingest more context, it perfectly did it that next time.
(24:46):
So now all these models are gonna get so intelligent, but unless you know what's toggles to switch on, how to properly use it.
I think there's gonna be a lot of options because there are gonna be a lot of people that are more tech inclined and more people that don't know what to do.
So we need to tell people, okay, this is how you properly use this technology to get the best out of it.
(25:11):
Right.
like you said, even today chat, EPT is choosing the model for you, So that capability is gonna get sharper and smarter going forward where we won't have to worry about which model we're using.
Yeah, it's a good question that a lot of people are thinking about I watch a lot of interviews with Sam Altman and everyone tries to predict the future.
(25:35):
Like what happens once a GI is achieved and the prompts could prompt themselves and you don't even need to do anything.
I think ultimately.
come down to a human relationship environment where everything that could be automated will get automated and then everyone could just focus on relationship building and is really important to people.
(26:03):
But then what happens when.
no one's able to do any work like that? That's a question I don't have an answer to.
I think about that all the Which could be in three years from now.
I think it's gonna take longer than even once it's achieved, people have to feel comfortable adopting it and to make sure that everything is and the regulations allow for these.
(26:28):
agents to do there will be slow adoption, if it does achieve, I'm not sure what will happen the laws.
regulations behind the technology two weeks ago, a company released coding agent if you say you want to build a property management dashboard, start going out, building it, and it run itself.
So then if it doesn't know what to do, it'll search online and continue building.
(26:52):
if it runs into an issue, it'll try to figure out the issue and start fixing it.
once it's done, it'll spin up its own instance of a computer start testing all the buttons, sure it works, and then continuously doing it without anyone needing to touch it.
once we achieve that in every field, it's very exciting, where everything is going we just need to be mindful of.
(27:16):
The human component and not just destroying all of our jobs in the process.
Right.
I always believe that When you talk about progress, you can't say, but it's gonna hurt me.
You gotta progress.
And then you gotta figure out how you're gonna fit into that progress.
You can't try to say, let's slow down progress because I may not have a place in it.
that's on you to figure out, be honest.
(27:39):
Go forward, make humanity, better, more modern or whatever it is.
And then you figure out your role in this new civilization or whatever you wanna call it.
But to hold back progress is, not gonna work because what you are not gonna do, the next person will do.
I saw an incredible video today.
I think it was from Jason Rat.
On LinkedIn, he said it was a one hour program.
(27:59):
He showed like four minutes of what they're doing with AI in China.
one of the things that really grabbed my attention, was they have videos on the kids, fourth graders, third graders, while they're teaching subjects they have like 200 points on the face that they're measuring and they can tell the kid's reaction, this one's dreaming, this one is interested.
This one's paying attention.
(28:20):
This one actually loves it.
It's Like the teachers, it's a new world a teacher can't focus on 30 kids but after the class, you go through, it, okay, this kid actually loves this, we make fun of our parents.
we always used to joke around that, you know, ma, you grew up with a horse and buggy, right? But literally, the difference between me and my parents is nothing.
We were just about the same compared to what's going on today.
(28:43):
it's like teaching as simple as that is revolutionized.
It's a different classroom.
It's a different world.
I don't know any sci-fi television show or movie that matches.
The stuff they can do today.
I'm not talking about the GW stuff and we're in outer space.
I'm just talking about basic things that nobody dreamt would be possible.
Yeah, and I try to take that and push it to the limit of exactly in real estate.
(29:08):
And I just posted a video two weeks ago because I just wanna show people what is possible I.
like I always say Things are gonna break, things are not gonna work on the first try.
And that's fine.
don't expect it to be perfect.
the answers might have hallucinations in them, but it's still your job to verify Right.
it's your helper.
It's not gonna be like, you're outsourcing your brain and you don't need to do any more work.
(29:31):
It's just gonna be there to assist you.
So I built this multi-agent system where it has a manager agent.
five subagents.
I was trying to replicate the process of looking for a property you want.
you give the agent a property address and manager agent knows every single subagent he has.
So then he delegates each separate task.
(29:53):
To each subagent.
there was the legal agent, went to the property address and looked for any violations on the property, zoning issues.
Then there was the underwriting agent that all the property information it could find online and all the calculations to see if it's in your buy box.
Then there's the marketing agent to try to market the property i'm blanking on the other two, but each one was doing, its task and then it comes back to you after, let's say 10 to 20 minutes That's 20 minutes, huh? work.
(30:22):
enough time to grab a coffee and have everything done.
Yeah, exactly.
And then they're all speaking to each other, and then they all give their information to the manager agent, and the manager agent compiles the entire report.
And then you just have a full report of what each agent did, what's their reasoning, where did they pull their information from, and you could just go review it.
(30:42):
And then it gives you a verdict of should you purchase the property or not.
you just replicated.
hours of work and it was done in 20 minutes.
was this report perfect? No.
there mistakes? Yes, but the fact that I'm able to even get this far shows how we could keep evolving it into the future where it will be much better.
(31:04):
let me ask you another question.
what's your close rate? 99.9%
When you sit down with somebody, when you finally get somebody's ear and he gives you 15, 20 minutes to explain what you can do for him.
Have you ever had somebody walk away and say, no, not for me.
See that? That's the funny part because I actually get told no more often than you would think, like just last year alone, I've had over, 300 meetings from LinkedIn and I would say I only got, seven clients out of that.
(31:36):
But you're promising them the world and showing them what's possible.
the human component really comes in, that people are scared And also there's so much noise, so they might not believe you.
So you have to show that they could trust you and people are just very uncomfortable with how fast things are changing.
So it's kind of just a more.
(31:57):
Thought out, process taking it step by step.
I'm learning how to also teach the technology in the best way possible.
I was like, okay, I'm coming on too strong saying I could do too much too fast.
So it's kind of just taking it step by step.
let's just do one small task to show you how helpful it could Right.
let's just do another task.
(32:17):
Taking it one step at a time to make them feel comfortable and to show how helpful it could be.
instead of coming and being like, oh yeah, we could uproot your entire operations.
it becomes overwhelming.
And the other part about the real estate industry it's getting better, way we like doing the things we did in the, like in the way Right.
(32:40):
So it's like we don't want to change.
I don't care if it's gonna make us faster.
I don't trust this technology.
So it's really just about people getting more comfortable and the idea with AI being able to help them.
Are you finding that younger people are more.
Open to something like this.
I wrote about this on LinkedIn a couple weeks ago.
(33:00):
I have a daughter who's a programmer at monday.com.
She's a superstar over there.
And I have a daughter who just graduated school and was looking for a job.
if you talk to both of them about ai, they have two different views.
My daughter, who's been doing this for 15 years will tell you AI is nice we use it and integrate it, but let's not get carried away.
my other daughter who's taken a bootcamp just for AI programming, is like, yeah, let's just do ai.
(33:25):
You know, it may be a little bit premature, but at the end of the day, I do believe my younger daughter is gonna kick my older daughter out of her job because.
She'll always be pro human first.
AI second rather than AI first, the younger generation is just gonna turn around and these established people that refuse to use ai, are gonna see they lost everything to the younger generation who is just blowing everything away with their ai.
(33:51):
Is that a fair assessment? I would say there's a caveat to that from the perspective of if you're a business owner or employee part of an organization, what's your incentive to learn and use ai? I'm speaking to a lot of my friends or colleagues that are now working for a law firm, or now you're the head of the law firm.
(34:13):
So let's say you're a business owner I'm an entrepreneur, so I'm leveraging AI to get 10 times more work done that will directly benefit me.
But now let's say you're a business owner.
telling your employees to leverage AI to still work your 40 hour work week, now I expect you to get double the amount done not pay you more.
(34:37):
So now there's this increasing anxiety of, what's the point of me doing my work faster and better if there's no incentives.
the marketplace as a whole, has to start adopting to.
What this means for employees as opposed to employers because it directly benefits employers more than it does employees.
(35:00):
Right, So I think it's just kind of like this friction of like, okay, why do I need to do Because if I get this task done in the next two hours, I'm just gonna get more work from my employer for the next week.
So I might as well just.
Drag it out as long as possible so I don't have to get more but next week there'll be somebody else sitting in your seat.
(35:21):
and that's a hard, so I think it's really on the person to be open-minded on how to position themselves.
To evolve with the technology and use it as a multiplier to benefit themselves to not get replaced because there are people like myself, I'm literally.
(35:45):
Working at least 10 hours a day, staying up to date.
Every single new model that's released, I'm extensively testing it on every platform.
there are tons of people that know this technology in and out.
even if there's a task that I'm not sure.
How to do I'm pushing the boundaries every single day on what I'm able to do.
I'm just utilizing AI to teach me how to do it, and then just to do it myself.
(36:10):
So you just become a better problem solver as a whole, as opposed to just doing your one job you were hired for.
So I think that's how you position yourself when you go to an employer saying, I know how to do this role.
I have this expertise and I know how to leverage ai.
So I think that's.
Becoming way more valuable than just your domain expertise alone? That's a very interesting perspective.
(36:34):
Thank you for sharing that.
I just wanna ask you the question that you already pretty much said you can't answer, but maybe you'll surprise me.
Where are you in 20 years from now? that's a great question.
My goal.
Is to start building one of the biggest consulting companies and helping businesses really grow and unlock more time with their family or the things that they want to do in life.
(37:05):
So that's doing more workshops more speaking opportunities.
growing and benefiting society as a whole, and also the real estate industry, to get more people to realize that there's so much more to life than just putting your head down and working and feeling stressed all the time Right.
(37:29):
enjoying life Very nice.
So we have to end with at least one LLC question, I have one for you.
are you married? Yeah.
Oh, you are married.
okay.
Let me ask you a different question.
Do you have a mentor with this or your mentor is Chad.
GPT.
I've built out a council of mentors I have an idea, I my lawyer persona, my entrepreneur persona.
(37:52):
My advisor persona.
they all know everything about my company, and chime in their perspective as powerful as AI is, I still through LinkedIn that I love getting on a Zoom their real life experience and advice on I'm heading in the right direction? AI give excellent advice.
I just, it's just lacking that like experience that I don't know if it someone started companies, through the of building, selling, no matter what I'm always speak to a person about it.
(38:23):
I have people that I still speak to.
Okay, so the AI expert still thinks that there's a need for civilization and humanity.
That's fantastic.
Hundred percent.
Thank you, Avi.
It's been refreshingly exciting, I learned a ton and hope all you people out there learned a ton too.
So thank you Avi Hacker for joining us and shedding light on what's going on in ai, especially as it relates to real estate, but in AI in general.
(38:46):
that's the end of another episode of Get Real, get Wiser.
I think this was pretty darn real.
And I know I got a lot wiser.
thanks again for tuning in and have a great day until next time.
Hi everyone.
Welcome to another episode of Get Real, get Wiser.
Today we have Avi Hacker, an AI specialist, go ahead Avi, let us know who you are.
thank you so much for having me.
It's a pleasure to be here and I'm really excited to get into AI and.
it could help the real estate industry.
my name's Avi Hacker.
(00:21):
I founded the AI Consulting Network and my bio, I'll keep it on the briefer side So someone might see a person graduated.
an accounting degree and then worked at PWC, went to law school, now end up doing AI consulting and that the beauty, I think perfectly sums up what AI is able to accomplish.
(00:49):
The everyday person.
I graduated college with a public accounting business management finance degree.
my original goal was the CPA, so I worked at PWC for two years in the risk assurance division doing soc one, soc twos, really getting good understanding around security and automation, which Is a great background for me to have, but at the time I didn't fully appreciate it and I didn't enjoy it so much.
(01:15):
So then I transferred to law school and started working for a solo practitioner doing real estate and corporate law getting a great background in understanding LLCs and corporations.
They were just fascinating to me and the whole estate industry as a whole.
when Chat GBT came out, in the middle of my law school career, I was kind of playing around with it.
(01:41):
I had this moment that is gonna really change everything because.
Everything was so manual, everything was so inefficient, I was just exploring and adopting, okay, like how could I do this better? And I had no tech background, no coding background, so I was starting from zero.
the more I dove in and tried to learn how to utilize these tools, I realized what large language models were and different capabilities it's not just chat out there.
(02:09):
it opened up this whole world to me.
at the end of law school I pushed off the bar and decided to launch my own company, helping.
Small to medium sized businesses, in the real estate industry, I really love the real estate industry and there's stigma that it lags behind in AI or tech adoption So I just wanted to really target that industry and help people out helping people do the work that they wanna do instead of the.
(02:41):
Tedious task that they're, Right, they have to right.
We'll get into all those details.
So here's my surprise for you, Avi.
I think last week you posted that when you have a meeting.
With somebody, you are scheduled to have a meeting.
You actually have that meeting in AI with them before you actually meet them.
So I don't know if you did this podcast in AI before we had the podcast, but I did.
(03:06):
Oh, really? Yep.
I got my script, I got our whole meeting transcript and let's see what happens.
I mean I won't know when this is over.
I'll have to go back to the two transcripts and compare, but I'll be sure to let you know how I did.
Did you do the same? I want you to let me know how I did compared to my AI self also.
I will, be happy to send you the transcript.
(03:28):
Yeah, so I actually did not do that for this podcast.
I usually do, but I did go to your YouTube channel where you did the first podcast there was this new thing called Perplexity Comet that could go through YouTube videos.
So I just asked it, give me all the questions you asked and the format.
(03:48):
And then I was.
Said, can you go to his LinkedIn, go to his website, gimme a full description, and then it just took over my screen and started doing it all for me.
Wow.
are the steps that Right, in a couple of minutes you could have a full bio, ready to right.
matter.
Okay, so let's go back.
For you, it's not that many years, I don't know, 20 odd years.
(04:10):
Well, not to the day you were born, but childhood.
Were you a tech guy? What type of guy were you? Were you a sports guy, a tech guy? Studious, troublemaker.
Growing up.
I didn't always care so much about school or grades I not to say like I was doing bad in class, it was just I didn't know what I wanted to do, so I was kind of just going through school, no subject was particularly interesting to me.
(04:38):
in college when I didn't know what to do in my career, I was like, you know what people say accounting a great catchall.
So I picked one of the biggest majors I could find in Brooklyn College, which was accounting, business management and finance to get the full credits to take the CPA exam.
So I figured, I'll cover all my basis, A background to then try to see where I want to go.
(05:02):
That's pretty cool because I actually grew up in Brooklyn.
I went to Brooklyn College and Oh, really? that I didn't know what I wanted to do, I probably don't wanna do anything.
So my father said, why don't you do accounting? Because that's something you'll need in life, regardless.
Of what you do and there's not that many other like specialties or things that you can really learn in college that will be better than that.
Are you a Brooklyn boy? You grew up in Brooklyn? I grew up in Brooklyn, in Mill Basin.
(05:26):
Mill Basin.
Nice.
Do they still have the tennis courts there? I used to play there when I was a kid I think Two huge tennis bubbles.
I guess they used the real estate for something better today.
Yeah.
Okay.
Interesting.
Great.
So, let's jump to accounting.
you did your accounting degree, so you obviously did well in school.
You got a good job.
(05:47):
And you're sitting in PWC thinking, what's with my future? Is that what you came to work thinking every day? I was slowly starting to feel like I was working long weeks, let's say 60 to 80 hours during busy season doing auditing these big companies, these processes.
it felt like.
(06:08):
I'm working so hard, I that I jumped to entrepreneurship if I'm working so hard, I want to be doing it for myself.
the work I was doing, felt Cumbersome and it wasn't making a difference.
sometimes I would just be updating dates on a spreadsheet or looking through workflows to make sure nothing changes.
for a soc soc report, like are very important to issue the statement.
(06:33):
But for me to show up to work every single day, wasn't like.
Getting, like getting excited just sit in a cubicle and do this type of work like anyone could do it and like I could achieve something more.
you spoke about feeling that you wanted to do entrepreneurship.
(06:53):
what was the light bulb moment that made you switch gears and say, okay, law school.
so the entrepreneurship came later towards the end of law school, but from law school I interacted with a couple of legal teams.
Within PWC I just found that work more interesting, the legalities, the thought process, the thinking around certain clauses I thought it was very interesting around like the nuance and interpretability little things could have really big impacts.
(07:22):
I thought that was very interesting.
So you know what? I'll make the jump to law school.
And then obviously you started your company, but why, like you didn't wanna take the bar, I mean, you made it all the way to the finish line and just one drop to go to become a lawyer.
two months ago I did sit and take the bar.
(07:42):
I am still waiting for the results.
I made the decision towards the end of law school, a year and a half ago to push off the bar for a year was gaining knowledge around ai and the more I to people, the more I saw that people weren't utilizing it.
I knew I was early to people figuring this out and there was so much noise out there I felt I had a good grasp on understanding and applying it.
(08:07):
So I decision to not study for the bar right after graduating and launch my company to start getting traction.
So I'll gain traction with my company, start building a social brand on social media, and then once I have a bit more traction, for the, like, that was also a lot of fun.
(08:27):
I took half days of my calendar, so I was studying for the bar for seven, eight hours a day and then working the rest of the day to keep up my company and then take the bar.
I still wanted to achieve the license.
Not that I'm gonna do anything with it this second, but yes, because I ready to go to law school and it Right, just to give that out.
(08:52):
Well, I applaud that decision because things are moving so fast.
cutting out for three months is probably gonna put you right back to where you started you come out to a new world, like going to a cave for three months and coming out not even recognizing the world you've been in.
But I got questions about that too.
Okay.
But let's start talking.
Let's dive into AI a little bit.
Yeah.
what is it that you do who are your clients and what is the product or service that you provide? So I help estate professionals, small to medium sized business owners go through their process and understand where they could leverage AI for their biggest bottleneck To help them grow.
(09:31):
If they don't wanna hire more employees or they have just too much work on their plate, I help them understand how to utilize the current technology and apply that to their businessGive us some real world examples.
You come into a company, give us a client that you had, what exactly you found.
What type of firm was it? How big, what were their goals? What were their pain points, and how did you solve it? I was working with a multifamily real estate syndicator, he's the head of his company and was managing everything from raising for deals, marketing, underwriting, everything by himself.How
(10:07):
many people did he have working for him? it was just himself.
Oh wow.
Yeah.
So So, team.
yeah.
one of the most underutilized things I see.
Within chat, GBT is the custom GBTs feature, people just don't know about so they don't know how to apply it I help build personas for certain actions he would take daily now if he wants to write an email marketing campaign, we could build custom GBT, the role, instructions, knowledge base.
(10:39):
So any time do That task, just go to that custom chat and it'll be formatted perfectly Or let's say now you wanna underwrite a deal.
you think of these as, I don't wanna call them people, but it's like personas where you could do each persona for each different task.
once everything's set up, you go through each persona when you want to do that task.
(11:00):
It gets done so much faster.
you have a draft of what you want to do, you review it, make a few edits, and then you're basically done.
that's the beauty of ai.
how many personas did you build him? I would say, maybe like six or I tried, my approach is to teach the person to level up in their skills as opposed to just try to build it out and give it to them and, walk away because everything is evolving so fast and I see it's really more of a knowledge adoption issue because people can't keep up.
(11:34):
I'm spending all day, every day.
with the latest technology.
keeping up to date on what's possible.
one of the biggest issues I see real estate people is finding proper owner information.
when I started chat, GBT wasn't able, wasn't able to connect to the internet.
(11:54):
So.
it wasn't helpful finding property information.
once it got the internet feature, you scrape certain people's data.
like, okay, can you try to find owner information for property? It was speeding up the process.
then there was the pain point of information on a deed or government websites, and you would have to click through pages or different login methods.
(12:17):
there were services you hook up through a custom GBT spin up your own browser And do much deeper research on finding property owner information.
one of the use cases I was constantly trying is in New York, to find a property owner, on the deed, you would log into acris type in the block and lot number and then pull up the deed, find out when the property was sold, and.
(12:40):
wasn't really possible 'cause it was just scraping surface layer data.
But then chat GBT agent was released and also Perplexity Comet.
I did a live about those two okay, find me the property owner information for New York.
if it didn't have the block and lot number, it would go to, Zillow or Redfin, to get and not lot number, then I go to acris.
(13:01):
'cause it really depends on the quality of the prompts to guide the agent.
And it would click all the buttons, fill out all the forms, pull up the deed, scan the information, and then get you that information Like the source of truth from the actual deed on when was the property sold, who was on the deed, like how much was it sold for? what's the description? this is all available through chat, GBT itself.
(13:26):
I know you're a lot younger than me, but since I'm talking to you, I'll say one thing that's sick.
it's really, a whole.
New way of thinking.
And when people don't know that something like that is possible, I feel it's such a limiter that once I tell people what I have done, then they start to think bigger.
(13:46):
And I think AI is really that force multiplier where you give one person with big ideas and now you're able to achieve.
What you were able to achieve Yeah, I mean, that's incredible.
So let's go back to this multifamily syndicator.
you built him an office of 10 employees.
what was his reaction? his workload just now dropped And.
(14:09):
Life just became it.
It's like, you know, I always tell my wife, I feel like I'm living in Bewitched.
You just like twitch your nose and whatever you want.
It just happens.
But the stuff you are telling me, I thought I'm gonna get on this podcast and say I don't get it.
I can do everything you can do, but the stuff you're telling me is Even more mind blowing than all the mind blowing stuff that I do every day, and I'm blown away by the stuff I do.
this is really incredible.
(14:31):
yeah, there's always another level One of, the purpose that I set out on this journey was I feel like there's always more to life to actually get out of life what you want to do besides just the grunt work.
he wants to help people raise money.
and just get more out of life.
I'm trying to also help people.
taking away That extra work that isn't needed to be done by you every single time.
(14:54):
Which is taking up 90% of your day.
Exactly, but not automatic.
sometimes you see those really big systems that run autonomously and people aren't observing.
But I believe you have your ideas and know what you want to say, you go into the custom personas and say, okay, I want to build out this marketing campaign.
(15:15):
This is how I want it to sound.
It'll draft it for you.
Then you edit.
So it's not fully automatic, but.
The whole process is so much quicker.
he told me, and it was so nice to hear, that he was able to spend more time on the weekends with his family and more time with his kids because of what we were able to achieve with offloading a lot of that brunt work with ai.
(15:40):
just the thought of him having to fully staff.
his Operation, right? So now he's gonna have to start interviewing people, hire people, train people.
He won't like half of them.
They won't do a great job.
The ones that he does keep and then all of a sudden, a little smoke and then all of a sudden pairs all these dream employees out of nowhere that he controls.
(16:01):
exactly.
and if you don't like the output or if it's not acting in a certain way, that's.
I like to meet with people, let's say once a week or once every two weeks on a retainer basis.
Going through their day, seeing what's working, what's not working.
'cause if it's not outputting the output you Mm-hmm.
So like, why? we'll go into the instructions maybe we need to tailor those instructions a little Right.
(16:25):
in the knowledge base, whenever people tell me that it's not helpful, it's really more of a.
Have you dug into it enough? How are you writing proper instructions? Are you using the correct model? Mm-hmm.
at some point Chat, GBT had eight different models you could choose Right.
So it happens to be that each model is.
(16:47):
Specific for a Mm-hmm.
So if you were trying to review a lot of due diligence documents or title reports and they were too big for chat then I would recommend using something like Gemini because it has a bigger context window, ingest all of the documents and remember all of the data.
That's why I call myself a fractional Chief AI officer, where I come in and give you straight advice on, what are you dealing with? What tools should you use? How should you use it? And then you're on your way.
(17:18):
I love it.
what's your business model? You consult for them on an ongoing basis or it's a one-time fee? How does that work? right now my business model is, I like to approach it as a month by month Mm-hmm.
where we meet an hour a week and then go through your day, you fill out a questionnaire and then we start.
(17:38):
one of the most useful use cases that I have, I'm also modeling all of this.
I basically do the work of 30 people every day with all my things set up.
it's incredible.
one of the first things I do with every client is help them build out their own custom GBT, their own personal AI assistant or digital twin, whatever they like to call it.
(18:01):
So I have them send Their entire background, their website, their resume sample emails they've written, things they've published online.
then I perfectly curate a prompt that would embody them as their own, Twin and put their stuff of their objectives, their past, knowledge base? I give them a digital twin of themselves.
(18:26):
they strategize with themselves.
think of ideas on what they want to take the company with themselves.
And now you basically duplicated just bouncing ideas offthemselves.
Wow.
that's amazing.
So now anytime I have ideas on how I want to move forward, I turn on chat, GBT, go to my custom GBT, and talk to it I do have that experience of connecting the dots and it's such a different experience.
(18:51):
right.
Give us one more use case.
So we have multifamily syndicator.
I'm tempted to ask you about a law firm, but I'll leave it up to you to tell me, you know, maybe you have a different example you'd like to share with us.
No, I did actually work with solo.
She worked in big law for like 15, 20 years.
Then she left to open up her own firm, so now she needs to streamlining her operations.
(19:16):
none of this is legal advice, just a disclaimer.
So like either always needs to be the human in the loop, but let's say for reviewing these large contracts or due diligence, a lot of people in law firms, have these templates that are kind of plug and play or based on certain deals.
And you see that in the real estate industry also.
(19:36):
But when you get these long writers contracts or appendix or addendums, there are a lot, if you want to quickly scan through it and there any red flags pick up right away before into over a hundred page document? And I still recommend reading every single word because AI might skip things, but it could just pick up things for you right away that you should just focus on while you review it, or if you are.
(20:01):
Redrafting something you could just say, okay, how could I redraft this that's buyer friendly and would focus on this provision Does this provision affect any other clauses in the contract? Because I've seen way too many times where people are recycling contracts and names from other parties slip through.
(20:22):
There are clauses there that shouldn't be Right, it just, it just like that last check that could save you from being sued for malpractice People don't like reading, and this might make people read but it adds layer of extra safety.
even if they don't want to use AI to draft, want to do everything what's the harm putting the contract in and is there any conflicting clauses? Should I be thinking about anything that could expose to liability? It that extra layer of protection for yourself Right.
(20:51):
Wow, that's interesting.
So my question is right now, Avi Hacker, people don't know much about ai.
You're in the forefront.
You are plowing the earth for them and you're teaching them how to use it.
Come a year from now, two years from now.
I don't wanna sound naive, so I'm never gonna say that People will catch up.
(21:11):
there's a limit to how much AI we need and how much AI can do for us, because I've seen enough in my life to know that it's limitless and it'll continue growing, and there will always be a need for an AVI hacker.
In 1898, the head of the patent office in New York said, we can close this office down because everything that has to be invented has already been invented.
that's the same naive statement I can make today, even though that's what's going through my head.
(21:36):
How do you stay relevant? are you afraid of.
People understanding ai because the problem with AI is, and like, you know, like every problem that people say, back then people thought it was a problem, but it wasn't.
And things kept on going.
But AI sort of learns by itself.
by definition, AI should answer all your problems at some point without needing a hacker because everybody will have AI to do everything for them, including think for them, right, including figure out how to go forward.
(22:06):
yeah, a hundred percent.
I think about that all the time, I think matter how good AI gets, there's always still the human component where people Don't know its capabilities, there's always be a need for someone to show the initial steps of how to properly leverage it in your company and what to do with it properly.
(22:27):
people have told me, why do I need to hire you? Why can't I just go to chat EBT right now and say, how can you help Tell to watch this podcast or to call me, I'll explain because I wasn't a believer a half hour ago.
I'm thinking, what am I gonna do with this guy? Who's some kid who thinks he knows Chad GPT? I use it every day.
What do we need him for? I'm gonna grill him.
I'm gonna kill him.
He's gonna walk away and he's gonna say, after this podcast is over, man, FEU is so brutal.
(22:50):
What do you do to me? And boy, am I pleasantly surprised? I mean, we barely even scratched the surface.
Like there's chat, GBT, clawed, perplexed, like I've tried every single large language model.
I've built my own apps, my servers and I do not know how to code.
I'm literally building out everything.
I cloned chat last week just to see if I could do it.
I wanted to get people on a certain platform and give access.
(23:14):
And that's what I love so much that any idea that comes to my mind, I could just do something about it that's why I love doing this so much.
But AI right now doesn't even know its own capabilities.
So when I was speaking with a client and he was reviewing transcripts for a large meeting that he was on, let's say it went on for an hour and a half and he would say, summarize what each person said.
(23:38):
So we went on our call and he is like, Avi, like.
putting it in, like you said, and it's always leaving out like five or six names and like I ask it, why is it doing it? And it says because it's too large and I just can't do it.
sometimes you could read its reasoning and it says like, oh, I'm getting lazy.
It's too large.
(23:58):
I'll just skim it.
So it's picking up a lot of human nuances when it's being trained on human data.
Then I was like, okay, what model are you using? So he was using the regular chat GBT five.
this was like when it was just released I liked it when there more models, but for the average person it's probably more helpful where it auto selects for you.
That regular model, also depends what plan you're on.
(24:19):
for the plus plan, you only have a context window of let's say 32,000 tokens.
So when you put it in, it's only gonna remember the first half.
So then I told him, okay, just change it.
Literally just one setting to chat g BT five thinking, and then.
Try it again and because that thinking model allows it to ingest more context, it perfectly did it that next time.
(24:46):
So now all these models are gonna get so intelligent, but unless you know what's toggles to switch on, how to properly use it.
I think there's gonna be a lot of options because there are gonna be a lot of people that are more tech inclined and more people that don't know what to do.
So we need to tell people, okay, this is how you properly use this technology to get the best out of it.
(25:11):
Right.
like you said, even today chat, EPT is choosing the model for you, So that capability is gonna get sharper and smarter going forward where we won't have to worry about which model we're using.
Yeah, it's a good question that a lot of people are thinking about I watch a lot of interviews with Sam Altman and everyone tries to predict the future.
(25:35):
Like what happens once a GI is achieved and the prompts could prompt themselves and you don't even need to do anything.
I think ultimately.
come down to a human relationship environment where everything that could be automated will get automated and then everyone could just focus on relationship building and is really important to people.
(26:03):
But then what happens when.
no one's able to do any work like that? That's a question I don't have an answer to.
I think about that all the Which could be in three years from now.
I think it's gonna take longer than even once it's achieved, people have to feel comfortable adopting it and to make sure that everything is and the regulations allow for these.
(26:28):
agents to do there will be slow adoption, if it does achieve, I'm not sure what will happen the laws.
regulations behind the technology two weeks ago, a company released coding agent if you say you want to build a property management dashboard, start going out, building it, and it run itself.
So then if it doesn't know what to do, it'll search online and continue building.
(26:52):
if it runs into an issue, it'll try to figure out the issue and start fixing it.
once it's done, it'll spin up its own instance of a computer start testing all the buttons, sure it works, and then continuously doing it without anyone needing to touch it.
once we achieve that in every field, it's very exciting, where everything is going we just need to be mindful of.
(27:16):
The human component and not just destroying all of our jobs in the process.
Right.
I always believe that When you talk about progress, you can't say, but it's gonna hurt me.
You gotta progress.
And then you gotta figure out how you're gonna fit into that progress.
You can't try to say, let's slow down progress because I may not have a place in it.
that's on you to figure out, be honest.
(27:39):
Go forward, make humanity, better, more modern or whatever it is.
And then you figure out your role in this new civilization or whatever you wanna call it.
But to hold back progress is, not gonna work because what you are not gonna do, the next person will do.
I saw an incredible video today.
I think it was from Jason Rat.
On LinkedIn, he said it was a one hour program.
(27:59):
He showed like four minutes of what they're doing with AI in China.
one of the things that really grabbed my attention, was they have videos on the kids, fourth graders, third graders, while they're teaching subjects they have like 200 points on the face that they're measuring and they can tell the kid's reaction, this one's dreaming, this one is interested.
This one's paying attention.
(28:20):
This one actually loves it.
It's Like the teachers, it's a new world a teacher can't focus on 30 kids but after the class, you go through, it, okay, this kid actually loves this, we make fun of our parents.
we always used to joke around that, you know, ma, you grew up with a horse and buggy, right? But literally, the difference between me and my parents is nothing.
We were just about the same compared to what's going on today.
(28:43):
it's like teaching as simple as that is revolutionized.
It's a different classroom.
It's a different world.
I don't know any sci-fi television show or movie that matches.
The stuff they can do today.
I'm not talking about the GW stuff and we're in outer space.
I'm just talking about basic things that nobody dreamt would be possible.
Yeah, and I try to take that and push it to the limit of exactly in real estate.
(29:08):
And I just posted a video two weeks ago because I just wanna show people what is possible I.
like I always say Things are gonna break, things are not gonna work on the first try.
And that's fine.
don't expect it to be perfect.
the answers might have hallucinations in them, but it's still your job to verify Right.
it's your helper.
It's not gonna be like, you're outsourcing your brain and you don't need to do any more work.
(29:31):
It's just gonna be there to assist you.
So I built this multi-agent system where it has a manager agent.
five subagents.
I was trying to replicate the process of looking for a property you want.
you give the agent a property address and manager agent knows every single subagent he has.
So then he delegates each separate task.
(29:53):
To each subagent.
there was the legal agent, went to the property address and looked for any violations on the property, zoning issues.
Then there was the underwriting agent that all the property information it could find online and all the calculations to see if it's in your buy box.
Then there's the marketing agent to try to market the property i'm blanking on the other two, but each one was doing, its task and then it comes back to you after, let's say 10 to 20 minutes That's 20 minutes, huh? work.
(30:22):
enough time to grab a coffee and have everything done.
Yeah, exactly.
And then they're all speaking to each other, and then they all give their information to the manager agent, and the manager agent compiles the entire report.
And then you just have a full report of what each agent did, what's their reasoning, where did they pull their information from, and you could just go review it.
(30:42):
And then it gives you a verdict of should you purchase the property or not.
you just replicated.
hours of work and it was done in 20 minutes.
was this report perfect? No.
there mistakes? Yes, but the fact that I'm able to even get this far shows how we could keep evolving it into the future where it will be much better.
(31:04):
let me ask you another question.
what's your close rate? 99.9%
When you sit down with somebody, when you finally get somebody's ear and he gives you 15, 20 minutes to explain what you can do for him.
Have you ever had somebody walk away and say, no, not for me.
See that? That's the funny part because I actually get told no more often than you would think, like just last year alone, I've had over, 300 meetings from LinkedIn and I would say I only got, seven clients out of that.
(31:36):
But you're promising them the world and showing them what's possible.
the human component really comes in, that people are scared And also there's so much noise, so they might not believe you.
So you have to show that they could trust you and people are just very uncomfortable with how fast things are changing.
So it's kind of just a more.
(31:57):
Thought out, process taking it step by step.
I'm learning how to also teach the technology in the best way possible.
I was like, okay, I'm coming on too strong saying I could do too much too fast.
So it's kind of just taking it step by step.
let's just do one small task to show you how helpful it could Right.
let's just do another task.
(32:17):
Taking it one step at a time to make them feel comfortable and to show how helpful it could be.
instead of coming and being like, oh yeah, we could uproot your entire operations.
it becomes overwhelming.
And the other part about the real estate industry it's getting better, way we like doing the things we did in the, like in the way Right.
(32:40):
So it's like we don't want to change.
I don't care if it's gonna make us faster.
I don't trust this technology.
So it's really just about people getting more comfortable and the idea with AI being able to help them.
Are you finding that younger people are more.
Open to something like this.
I wrote about this on LinkedIn a couple weeks ago.
(33:00):
I have a daughter who's a programmer at monday.com.
She's a superstar over there.
And I have a daughter who just graduated school and was looking for a job.
if you talk to both of them about ai, they have two different views.
My daughter, who's been doing this for 15 years will tell you AI is nice we use it and integrate it, but let's not get carried away.
my other daughter who's taken a bootcamp just for AI programming, is like, yeah, let's just do ai.
(33:25):
You know, it may be a little bit premature, but at the end of the day, I do believe my younger daughter is gonna kick my older daughter out of her job because.
She'll always be pro human first.
AI second rather than AI first, the younger generation is just gonna turn around and these established people that refuse to use ai, are gonna see they lost everything to the younger generation who is just blowing everything away with their ai.
(33:51):
Is that a fair assessment? I would say there's a caveat to that from the perspective of if you're a business owner or employee part of an organization, what's your incentive to learn and use ai? I'm speaking to a lot of my friends or colleagues that are now working for a law firm, or now you're the head of the law firm.
(34:13):
So let's say you're a business owner I'm an entrepreneur, so I'm leveraging AI to get 10 times more work done that will directly benefit me.
But now let's say you're a business owner.
telling your employees to leverage AI to still work your 40 hour work week, now I expect you to get double the amount done not pay you more.
(34:37):
So now there's this increasing anxiety of, what's the point of me doing my work faster and better if there's no incentives.
the marketplace as a whole, has to start adopting to.
What this means for employees as opposed to employers because it directly benefits employers more than it does employees.
(35:00):
Right, So I think it's just kind of like this friction of like, okay, why do I need to do Because if I get this task done in the next two hours, I'm just gonna get more work from my employer for the next week.
So I might as well just.
Drag it out as long as possible so I don't have to get more but next week there'll be somebody else sitting in your seat.
(35:21):
and that's a hard, so I think it's really on the person to be open-minded on how to position themselves.
To evolve with the technology and use it as a multiplier to benefit themselves to not get replaced because there are people like myself, I'm literally.
(35:45):
Working at least 10 hours a day, staying up to date.
Every single new model that's released, I'm extensively testing it on every platform.
there are tons of people that know this technology in and out.
even if there's a task that I'm not sure.
How to do I'm pushing the boundaries every single day on what I'm able to do.
I'm just utilizing AI to teach me how to do it, and then just to do it myself.
(36:10):
So you just become a better problem solver as a whole, as opposed to just doing your one job you were hired for.
So I think that's how you position yourself when you go to an employer saying, I know how to do this role.
I have this expertise and I know how to leverage ai.
So I think that's.
Becoming way more valuable than just your domain expertise alone? That's a very interesting perspective.
(36:34):
Thank you for sharing that.
I just wanna ask you the question that you already pretty much said you can't answer, but maybe you'll surprise me.
Where are you in 20 years from now? that's a great question.
My goal.
Is to start building one of the biggest consulting companies and helping businesses really grow and unlock more time with their family or the things that they want to do in life.
(37:05):
So that's doing more workshops more speaking opportunities.
growing and benefiting society as a whole, and also the real estate industry, to get more people to realize that there's so much more to life than just putting your head down and working and feeling stressed all the time Right.
(37:29):
enjoying life Very nice.
So we have to end with at least one LLC question, I have one for you.
are you married? Yeah.
Oh, you are married.
okay.
Let me ask you a different question.
Do you have a mentor with this or your mentor is Chad.
GPT.
I've built out a council of mentors I have an idea, I my lawyer persona, my entrepreneur persona.
(37:52):
My advisor persona.
they all know everything about my company, and chime in their perspective as powerful as AI is, I still through LinkedIn that I love getting on a Zoom their real life experience and advice on I'm heading in the right direction? AI give excellent advice.
I just, it's just lacking that like experience that I don't know if it someone started companies, through the of building, selling, no matter what I'm always speak to a person about it.
(38:23):
I have people that I still speak to.
Okay, so the AI expert still thinks that there's a need for civilization and humanity.
That's fantastic.
Hundred percent.
Thank you, Avi.
It's been refreshingly exciting, I learned a ton and hope all you people out there learned a ton too.
So thank you Avi Hacker for joining us and shedding light on what's going on in ai, especially as it relates to real estate, but in AI in general.
(38:46):
that's the end of another episode of Get Real, get Wiser.
I think this was pretty darn real.
And I know I got a lot wiser.
thanks again for tuning in and have a great day until next time.
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