5 Genius-Level AI Hacks Anyone Can Use

Want to look like the smartest person in the room even when you're totally out of your depth?  

Joe Downs and Peter Swain deliver job-specific AI hacks that will blow your mind and elevate your hustle. Whether you're a real estate agent, consultant, marketer, parent, or just someone who’s tired of pretending to know what "RevPAR" means, this episode is your cheat code to showing up sharp.  

From local news parlor tricks for realtors to building a personalized math tutor for your kid, Joe and Peter break down how to actually use AI in ways that are practical, clever, and immediately helpful.

This one’s packed with magic tricks, marketing gold, and ego-free truth bombs about the future of work and learning.

Listen For

1:22 What’s the Secret Trick for Real Estate Agents Using AI?

10:35 How Can You Market Better by Letting AI Think Like Your Customer?

19:12 How Can AI Help You Fix a Struggling Business?

24:43 How Can AI Help You Help Your Kids With Homework?

Links Mentioned

Chat GPT

Google NotebookLM

Eventbrite

Willow AI (Mac Whisper integration)

 Joe Downs

Website | Email | LinkedIn | YouTube

Peter Swain

Website | Email | LinkedIn | X

Chapters

• 1:22 What’s the Secret Trick for Real Estate Agents Using AI?
• 10:35 How Can You Market Better by Letting AI Think Like Your Customer?
• 19:12 How Can AI Help You Fix a Struggling Business?
• 24:43 How Can AI Help You Help Your Kids With Homework?

Transcript

Peter Swain (00:00):

We have a phrase that we say in the Mastermind every so often, which is AI isn't coming for your job, but it is coming for your excuses.

Joe Downs (00:13):

Last week we tackled the stuff you hate, emails, admin, scheduling. This week we're making you look brilliant. We've got some AI tricks that'll make people wonder how you got so sharp. But we're going to go job specific today. Like for instance, how does a real estate agent use ai? A marketer, someone in sales. But here's the twist. Whatever you do for a living, you're going to find something here and we've got a personal measure trick that every parent or anyone who's ever felt dumb about a topic is going to love. Well, let's make you dangerous. I'm Joe Downs. With me is Peter Swain. We're just a couple of successful idiots. Peter's the one with the accent. I'm the one who finally realized not bad, is the highest British compliment you can get. Our job is simple here to show you how to think about AI and how to use some AI tools to put more horsepower behind your small business hustle. We'll help you start one, Peter. Let's jump inside the Hustle lab and the job I want to cover first is the real estate agent. For starters, Peter, there's a ton of them out there, and even if you aren't one, everyone generally knows what a real estate agent does. So I think it's kind of a common denominator of jobs that everyone can understand. So I think it's a perfect example. Peter, set this up for me.

Peter Swain (01:22):

Well, before we do, I just want to say the episode we did last week. Not bad.

Joe Downs (01:27):

I know what that means.

Peter Swain (01:29):

Yeah, so real estate agent, so if you do a little bit of research a K, you go into chat, GPT or any of the other tools, and you ask what is the differentiator between a successful and an unsuccessful real estate agent? It turns out it's local market knowledge, okay? That's the difference between a successful realtor or not. And the reason is everybody's got the numbers. Oh, I did a hundred million dollars last year, or I closed three in the last. It's very easy to present the prestige around the numbers that you've done. So here's a little hack slat. Is it a magic trick or this is a hack? It's both. It's

Joe Downs (02:06):

Parlor trick. Remember,

Peter Swain (02:08):

It's a parlor trick.

Joe Downs (02:09):

Here's British,

Peter Swain (02:10):

British, here's the British parlor trick for a realtor. Go into chat GPT and say, I'm showing X, Y, Z. Couple around a, B, C property next week. Give me three Feel good stories from the local news in the last five days and give me ready. Wait for it. Give me five free events that I can attend in my local area in the next week.

Joe Downs (02:45):

Why do you want that? Where's this going?

Peter Swain (02:47):

Well, the first one means you can walk into the property and go, did you hear the story about that kid from Thingy high school? Like, no. Like, oh, he did really well. He won the science competition and he's now off to Washington. I just thought it was really cool.

Joe Downs (03:00):

Oh, so a story to establish the local high school township, whatever it is,

Peter Swain (03:05):

See how locally embedded I'm in my community, I know what's going on at each of the high schools, right? Oh, this is the realtor you want. They're the person that can point you in the right direction for the right school. But then the other thing a realtor needs is listings. Now, most realtors when they start their journey, rely on referrals, rely on word of mouth. But what you actually need to do is start networking at the rotary, at the chamber of commerce at the thing, at the thing at the thing. So chat GPT can go and pull from sources like Eventbrite and all those wonderful things and tell you what events you should go to, where your ideal customer is actually going to

Joe Downs (03:39):

Be. Interesting. Okay, so

Peter Swain (03:42):

Now you want to take it even further. Do you want a bonus on that?

Joe Downs (03:45):

Yes. I was about to say, what do you do from there?

Peter Swain (03:47):

So if you know what the couple that are going to come and look at the property are, how they are, where they're moving from, what jobs they do, which is very standard discovery type questions, then why not get chat GPT to give you the counter to the objections they're going to have in advance.

Joe Downs (04:04):

Okay. Like,

Peter Swain (04:06):

Okay, well let's say that the husband, I'm going to be horribly mis, no, I'm not. I'm going to be horribly misogynistic. Let's say that we have a couple coming and it's the woman, the wife works for a big tech company. I'm willing to bet money in advance that she's going to ask about the wifi and the speeds of the tech connection

Joe Downs (04:28):

In the local area.

Peter Swain (04:30):

I'll bet thousands of dollars that she asked that question because anybody that works in the tech industry is not going to move somewhere if they don't have decent access. So why not have that ready? Why not have the ability to, as you are walking them around the property, why not have the ability to just say in advance,

Joe Downs (04:45):

Just drop in nugget?

Peter Swain (04:47):

Yeah, it's crazy that three actually brought 5G to this neighborhood three months ago, and internet speeds have gone up from 300 megasecond to three giga second. I dunno if that's something you'd be interested in. And the wife goes, well, actually I'm in the tech industry side. No. Wow, cool. Amazing.

Joe Downs (05:03):

I'm going to one up. You, you ready?

Peter Swain (05:05):

Go for it.

Joe Downs (05:06):

What if you also, so you know who your client is, you know where they're moving from. What if you ask chat BT to do a market research study with maybe key points like wifi, internet speeds, whatever schools, whatever from the neighborhood they left. Although

Peter Swain (05:26):

Now you're seeing it, you're seeing it. It's that,

Joe Downs (05:28):

Yeah, but now I'm catching myself going, what if they didn't like the neighborhood they left? Assuming they liked the neighborhood they left. Let's say they're moving from out of state, right? If they're moving from, in my case, west Philadelphia to the main line, maybe they're moving for different reasons, but if they're moving from state to state, yeah, I think I was onto something there. They really liked where they came from. Maybe you find that information out. Where is that same local market replicated?

Peter Swain (05:56):

Well, what about this? What about if you were to ask chat GPT, because this is something people miss. I'm loving this episode by the way. This is fun. What if you were to say, I want you to pull the data on X, y, z data points of where they were and where they're potentially moving

Joe Downs (06:10):

To.

Peter Swain (06:11):

And I want you to frame it as both positive and negative. I want you to give me both sets of arguments in advance. I want you to give the ability to say, yeah, this super cool is, and I also want you to give me the opposite. They walk in on the if they don't want to move, but they have to move,

Joe Downs (06:27):

Okay,

Peter Swain (06:28):

Give them both.

Joe Downs (06:29):

All right, so you raised me. You raised me.

Peter Swain (06:31):

Yeah. Are they 20 or are they 50? Because if they're 20, their chances are they've either got a young child, a very young child, or they're considering moving to have children, in which case pulling school data is now quite interesting. If they're 50 pulling school data, probably not. So interesting.

Joe Downs (06:51):

All right, I'm going to see you and raise you. One, we're going back and forth here. What if we then take their personal profile, which you just led to, they're roughly their age. Maybe we know it exactly. Do they have kids, not have kids? And ask chat, GPT, what the most common things that someone with that profile would want or look for in a house or a neighborhood, and what are the questions that I should ask them beforehand?

Peter Swain (07:22):

Yep, you're exactly there. And this works. Now, if you think about this in now, we wanted to talk about any industry. I'm going to give you another example. I once worked with a, I don't even what the job title is. This person did interior design for restaurants. They designed restaurants and they went, well, how could chat GPC help me? Right? Great, easy. And what we did is we went through the ideal customer. Who is the person that this restaurant is looking to approach? And then I said to chat, GPT, give me five to 10 things that you think this customer is going to care about that an interior, whatever the job title was, might miss. And she went, I've been doing this for 30 years. Like, okay, well this thing has consumed all the knowledge that was ever read and ever said, so I see your 20 years and I raise you the entire knowledge of the entire world.

(08:17):

So great, good for you, but let's see what it can do. And it came back and it came back and we then uploaded the blueprint and we uploaded pictures and it came back and said, there isn't enough space for the highchair. And she went and I went, well, your ideal customer is parents and families. She said, yeah. I'm like, well, you've done four person booths, so the high chair would have to go on the outside in the aisle, which means that the servers are going to be with hot food walking next to my child. Her response was, oh shit, even

Joe Downs (08:59):

If it clipped on, yeah, we both know we're parents. Even if you clicked on at the end,

Peter Swain (09:04):

You're still at the end want, you're going to be sitting there nervous for the entire meal if your child is in the aisle of the walkway of hot food.

(09:12):

So even if it's fine, you are going to be nervous, which means if you are nervous, you aren't going to spend as much money as you would otherwise. So it's things like that of looking at here's the customer, or in the case of the realtor, here's the potential customer and then reverse engineering back out into what you need. And it really isn't hard. It's like here's Jim and Sarah are coming and looking at this condo at this zip code with this many bedrooms on this day. This is Jim's LinkedIn profile, this is Sarah's LinkedIn profile. They're moving, I believe because they've been offered a job from what I can tell, they've got two children. What are the five to 10 things that I should highlight and what are the five to 10 objections that they're going to have?

Joe Downs (09:57):

So this is fantastic, but this is the execution of the job. What about when we have a client? What about, and we can meld these two together. I wanted to get into as well how this is applicable if your marketing, but we can actually blend these together because the question I was going to wrap up with real estate agent, but it's perfect just to marry the two together, is how do I find clients if I'm a real estate agent or basically how does AI impact the marketing aspect of my business as a real estate agent? And we could talk about that at the same time, whether you're just in marketing.

Peter Swain (10:35):

So once you have the ideal customer written up, this is the person I'm talking to, you can then take the website copy that you've written and ask your ideal customer to read the website copy. You can say, Hey, chat GPT, I want you to adopt the persona of my ideal customer and I want you to read this webpage and I want you to tell me whether they would buy or they wouldn't buy. What have I done? What have I done wrong? Have I answered their objections or haven't I answered their objections? What am I missing that I need to change? What is your prediction of the success of this ad, this copy, this email, this webpage, this insert blank everything here.

Joe Downs (11:18):

So I'm taking a piece of content I created and asking it to review it based on my ideal client. Is that what I hear?

Peter Swain (11:25):

Or asking it to write it from the perspective of that client in the first

Joe Downs (11:29):

Place? Write it. Okay, maybe I missed that part. Alright,

Peter Swain (11:31):

Well no, it's both. It's both. It's like I'm trying to get wherever you're at in the journey. If you've already got a bunch of stuff, get the AI to read the stuff. If you don't have the stuff, get the AI to write the stuff in the first place

Joe Downs (11:44):

And then once it's written or recorded, if it's a video, what can I do with it from there?

Peter Swain (11:53):

You can certainly ask. Well, I mean the biggest answer to all of these is you could just ask ai.

Joe Downs (12:00):

True, but what does that mean? So as simple as that sounds, Peter, it's daunting in and of itself because I don't know if there's an element of, I feel stupid just asking ai. I don't know how to ask it or what to ask it or why to ask

Peter Swain (12:16):

It. So we're going to go down a little rabbit hole for a second of you are going to have to get used to feeling stupid talking to ai.

Joe Downs (12:23):

Well, I get used to feeling stupid all the time, so that's easy.

Peter Swain (12:26):

Yeah, likewise. But Google Gemini is currently the smartest AI on the planet in terms of raw iq.

Joe Downs (12:33):

Google Gemini is

Peter Swain (12:35):

As of today, Google Gemini and its IQ has been measured at 1 31.

Joe Downs (12:41):

It's right there with me

Peter Swain (12:42):

And the average is a hundred. So therefore the average person is going to feel dumb talking to AI because AI is smarter than they're we're on an exponential curve. So the next version is going to be one 40, the next version will be one 60. Very, very quickly, the estimate is about 18 months from now, AI will be smarter than anyone that's ever lived full stop. So we're all going to have to get really comfortable with this concept of I'm not the smart one in the room. The AI is the smart one in the room. I liken this and it's not necessarily something I have to work on. Imagine if you were the manager of the Beatles. You ain't the Beatles, you can't sing, you can't play the drums, you can't play the guitar, and no one cares about who you're married and who you're sleeping with. You're still clipping 15%. So you're doing very, very well.

Joe Downs (13:37):

Go ahead.

Peter Swain (13:37):

It's the same thing here. You are essentially the manager of the band versus being the front man of the band. That's the change that's going to happen for everybody over the next couple of years.

Joe Downs (13:47):

So we're idiots. We're going to further become, the Delta's going to get wider and we're going to continue to maintain our idiot status.

Peter Swain (13:58):

But I'm guessing loads of smart people like I do that are nowhere near as smart as the people they hire and yet they're wealthier than the people they hire.

Joe Downs (14:05):

True,

Peter Swain (14:06):

Because they understand how to get the best out of people and they're okay with their ego not needing to be the smartest person in the room if they're the most successful person, they're achieving their goals. And that's what I see in ai. You are not the smartest anymore, but you are the conductor. You are the manager of the band, and you are going to clean up if you choose to as a result.

Joe Downs (14:26):

I love it. In your mastermind recently, you covered how to take a piece of content that you created and multiply it like gremlins after midnight that you, I forgot what you pour water on 'em or you feed 'em after midnight. I forget what it is. It's been a long time, but

Peter Swain (14:43):

It was water after midnight. It

Joe Downs (14:45):

Was it water or feed 'em after midnight.

Peter Swain (14:47):

Anyway, yeah,

Joe Downs (14:48):

It was something like that. How do we do that with our content?

Peter Swain (14:52):

Exactly that. Once you've got the core ip, so the big thing, right? So you've got the presentation or the knowledge or the book or the whatever the big version is, you can easily say turn this into a LinkedIn post. Turn this into nine Twitter X post. Apparently that's what we're calling it. Twitter X eight, Instagram carousels, three blog posts and a website go and it'll reposition and repurpose that content for each thing.

Joe Downs (15:22):

If you are a consultant and you are a consultant, you're just an AI consultant, what tool? Is there any one AI tool you would use and if so, how would you use it? I don't know if you want, probably easier if you just pick an industry or pick a type of consultant.

Peter Swain (15:42):

Well, let me tell you a story because it'd be quite fun. I once built a very successful booking engine for hotels. So we did by the end of year five, we were doing 400 million revenue a year through this booking engine. So I think that qualifies a successful four oh million revenue five years. How?

Joe Downs (15:59):

400 million? It's alright

Peter Swain (16:01):

In five years. It's all right. It's not huge, but it's certainly not small. But I remember the first meeting where they're like, they were talking about whether we should optimize for RevPAR or Rev pag. I was like, Hmm, that's an interesting question.

Joe Downs (16:15):

What's the pag?

Peter Swain (16:16):

Now here's what happened. I went Do mind. Do you mind if I just use the restroom? They're like, yeah, sure. I'm sitting on Google going, what the fuck is RevPAR? And what the fuck is Rev? Pag

Joe Downs (16:28):

RevPAR? No, I dunno. Rev pag

Peter Swain (16:30):

Revenue per active room or revenue per active guest

Joe Downs (16:33):

Guest. Okay, all right.

Peter Swain (16:35):

And so I was like, okay, now I understand what this is. So now I understand these two words. So I then walked back in the room and went, yeah, I agree that we should optimize for RevPAR, but I think Miller made some really interesting points on optimizing for Rev PAG in his study last year. What do you guys think of that? And they're like, well, it was completely wrong because of dah dah, dah versus active versus in-service rooms. I'm like, yeah, no, that's what I thought as well. I'm like, okay, and I'm writing down this list throughout this meeting of these terms that I have no idea what they mean and then go back and say, I'm really sorry. I need the restroom again. My stomach's feeling pretty bad. I traveled. It must be the water. So I'm leaving this room every 10 minutes to get this glossary built of What does this industry mean?

Joe Downs (17:21):

Now? I messed up you. I picked up on something you said. You said you Googled it.

Peter Swain (17:26):

Yeah. This is 10 years ago.

Joe Downs (17:28):

Oh, 10 years ago, right. Okay.

Peter Swain (17:29):

Here's what I would do now. What I do now is say I'm about to meet with the revenue manager for a 400 hotel chain in Canada. I know nothing about this topic. I need to look like a resident expert on everything around the subject of revenue. I need three talking points that are from recent news or recent articles. I need five headline statistics that I can remember that I can use at any point during the conversation. I need two books that are the seminal reading matter for this industry, and I need a glossary that I can remember before I go in. Go. Now you think this is quite amusing, but you have been the recipient of this because you and I have a business interest that we share and it has a very specialized glossary to it. So I did exactly this. I took the first transcript of our first two calls when, if you remember, I was sounding like a bit of an idiot because I didn't really know what I was talking about and I put

Joe Downs (18:33):

Into, you did very well actually. I would say

Peter Swain (18:35):

Thank you, but I put them into various AI tools and I asked it to produce me a seven day course. I'm like, I need to understand this subject as well as they understand this subject by my next call. Explain to me how this works. Tell me what Harvard would tell me, what Stanford would tell me, what the guy on the street would tell me. Explain every phrase, everything. Go give me YouTube videos to go and watch. And I produced myself a five day, 20 minute a day course so I could not look like an idiot.

Joe Downs (19:08):

Can I put you on the hot seat for a second and be selfish? Sure.

Peter Swain (19:12):

Yeah.

Joe Downs (19:12):

I told you that's what I want to do with this show. That's the actual idiot. I'm successful because you agreed to do this podcast with me so that I could become more successful. I'm kidding. You're obviously a genius. I've got boat and RV facilities that are, one of 'em is off the beaten path and one of 'em is not. One of 'em is right on a highway. I'm struggling to get customers in. What can I do? I put you on the hot seat here, but what are some ideas that instantly come to your head?

Peter Swain (19:51):

Give me a two line description of what the business does.

Joe Downs (19:54):

So we are self storage, but specializing in boats and RVs, and we're in Blairsville, Georgia, which is a very outdoorsy area. So it's a dream of an area for hunters, fishers, hikers, kayaking, boating, fishing, and if I didn't say that, whatever, just the whole area is an outdoors man's dream. Some people, some of our customers live about two hours away and store locally. We call it destination storage. Others are local but can't store in their HOA or if they have one or don't want to store at home or whatever. Every other facility around us is like 95% occupied or more, which is gold standard for self-storage. We're struggling. We're 65, 70% can't make any traction.

Peter Swain (20:49):

So I mean, the first thing I would do is just have exactly this conversation two hours away, destination storage, HOA outdoor Georgia there at 95, we're at 65. I'm obviously missing something. Ask me every and any question you need until I say I've got it, because the answer to this question is probably in your head, not in AI's head. You just don't know

Joe Downs (21:16):

It. I don't know how to get it out, and

Peter Swain (21:18):

I know that because you started self hugging as you did this

Joe Downs (21:23):

Hope this was a podcast.

Peter Swain (21:25):

It's your language of frustration. It's a very human thing to do this when things aren't going well or you're only going to defend yourself because you know the answer, the reason you're frustrated. If it wasn't your area of expertise, you wouldn't expect you to know the answer. So you'd be okay that you didn't know the answer and you'd employ somebody that does know the answer. So you'd already know the answer, but because it is your area of expertise and you can't come up with the answer, you're really frustrated. You should know the answer because it's your industry. So it's in there somewhere. So I think if you ask AI to be the thought partner and go, come on, help me out with this. Ask me questions. I think within 30 minutes you're going to go, I've got it. That's what we're doing wrong. That's the problem there. Now, that's my first answer. My second answer is to say, if it wasn't for that last piece of information, the 95 versus the 65, I'd be looking at here's my ideal customer. How do I reform my promotion strategy? How do I look at my revenue strategy, my pricing strategy? What partnerships could I pull up in the local neighborhood that could help me get this done? It would be things like that. And a question from me. Have you gone and purchased from your competition?

Joe Downs (22:42):

So that would be rented a unit or a space in this case? No.

Peter Swain (22:46):

Yeah, I would suggest that you go and partake as a customer because I think if you partake as a customer, you might go, ah,

Joe Downs (22:55):

What are they doing that we're not doing? Interesting. All right.

Peter Swain (22:58):

It might be something like if I was destination storage, I would be telling people that they only pay for nine months or 12 or something because there's going to be months when they do want to use it, months where they don't want to use it. It might be something like that that they've got this just like a revenue hack in there. But I would go and be a customer. But if you ask ai, what am I seeing? What am I missing? What am I doing wrong? It'll give you the answers.

Joe Downs (23:19):

All right. It's not just an AI podcast. Little marketing tidbits here too. All right. I appreciate it. Pleasure.

Peter Swain (23:27):

You know where to send the check.

Joe Downs (23:29):

I already write them. All right. Well, not for that business, I guess. Okay, one last topic I want to get to that every parent out there is going to love because we've all shared this frustration, and I think I know enough about your kids to know you actually have not had this frustration yet because they have not reached a certain age like mine have. I have a 17-year-old, a 16-year-old. I can no longer help the 17-year-old and the 16-year-old with their math problems, and I was pretty good at math. The 13-year-old, I'm good. I still got it. He still thinks I know what I'm talking about. How can whatever the subject, but math is the lowest of low hanging fruit when it comes to helping your kids with homework and being frustrated and as a parent and feeling defeated when they start to get to in the states, sophomore year of high school, maybe junior year, depending on your aptitude. For instance, I'm good through algebra one, algebra two, trig, I'm done. It's over. I don't remember. And anything beyond that calculus, pre forget it. Might as well be Chinese.

Peter Swain (24:43):

I would do what I said earlier, and I would write your own. I would be, Hey, this semester my son, my daughter is dealing with this. I need to be there to support this is the textbook that she's working from. Help give me everything I need to know to stay one step above her.

Joe Downs (25:07):

Interesting. And

Peter Swain (25:10):

Also remember the taking a picture

Joe Downs (25:12):

That the pictures a good one took picture of the problem. My kids are actually already using it when they get stuck, I think because I was probably like, Hey, listen, I don't know, just ask chat PT to help you.

Peter Swain (25:25):

But if you teach them that they can take pictures of the homework now, because the reason I say that is what we don't want to do is advocate for our kids to abdicate responsibility. We don't want to say, just hand your life over to chat GPT, which unfortunately a lot of kids are doing. So we still want 'em to do the pen and paperwork first and then take a picture of it and then have a conversation chat. GPT, do I have this right? Have I got it right? What have I missed? How have I got this wrong? So it's still forcing them to actually do the initial work and then using chat GPT to come over the top and help, instead of abdicating the whole thing to chat GT in the first

Joe Downs (26:00):

Place, are you going to be proud of me again? Because constantly, that's what I did with my son the other night. He said, dad, can you help me with this? I said, Nope, but here's what we can do. I took his computer and he's already downloaded Willow on his Mac. So I hit the buttons and I just started talking and I said, I'm here with my son. I probably didn't need to say that, but it gives me context. Here is the issue at hand. It was like determinant something. I don't remember what it was. Can you please walk us through how to solve these problems? Give us some examples. Have him go through practicing those problems. Tell him what he did, right? Tell him what he did before he actually gets to the problem, which is the homework problem on the piece of paper in front of him. So I didn't even give it the homework problem. I had to create problems that were like the homework problem that he could practice on and go through. And it was incredible. And I asked him the next morning, I said, how did that, he went and did his thing. I said, how did that work last night? I said, do you understand it now? And he said, yeah, it was really helpful. And it was mainly, I was like, this is awesome.

Peter Swain (27:11):

The other nice little addition on that and explain it in the style of Yoda or Eminem or whatever you

Joe Downs (27:20):

There is no, try only do real quick. I wasn't going to bring this up and you can punt to another episode if you're not up to speed on it. But I also showed him, not that I know how to use it yet, but I was playing with Notebook, lm, Google Notebook, lm

Peter Swain (27:38):

Phenomenal tool.

Joe Downs (27:39):

Can you give us 60 seconds on it?

Peter Swain (27:43):

Yeah. Notebook. LM is essentially a repurposing tool. So it's actually just doing magic tricks you can already do with ai. So I don't tend to use it very much, but for example, you can put in a book and it can produce a podcast from it, or you can put in a booking and produce a learning guide. So I call it, it's a repurposer. It's very good at AK something in and pushing something else out the other side.

Joe Downs (28:08):

What I liked about it for, because I went to my same son, I said he was studying for a test and I said, do you have, where are all your notes? And they were digital. I said, let me show you this trick. Put it into Notebook lm, and not only can it create a podcast for you, it can create a slideshow and a video. It can create flashcards and a quiz. And what my takeaway was, and you can comment on it, was it's taking all the information he's got to learn anyway and repackaging it in different forms of consumption so that he's learning visually. He's learning audibly. He's got the flashcards, which we've had flashcards forever. But that was just a quick little hack that you don't have to make. That's right there. And then the quiz. And I was like, wow, I think every school needs to adopt this. This is incredible. What a way to teach.

Peter Swain (29:03):

Yeah, I had, I a hundred percent agree for my daughter last year. I designed a prompt that made a choose your own adventure game to explain Victorian England,

Joe Downs (29:18):

Because

Peter Swain (29:19):

She didn't want to learn about it. But when I said, Hey, there's this new thing, it's choose your own adventure game. It'll say something and then you choose whether you want to do this or do this. She played it for hours. And then at the end, she came back and said, did you know Queen Victoria? I'm like, no, really?

Joe Downs (29:32):

So it's your own little Harry Potter

Peter Swain (29:34):

Game created. Yeah, we created a game for her to play. Very

Joe Downs (29:38):

Amazing. There's so much you can do once you start to think about how this stuff works. I've said to a couple of people recently, it's like the first time in history that I can recall where this saying, if you dream it, you can make it or anything you can dream is possible, or if you dream it, you can make it come true. Literally you can. Now

Peter Swain (30:02):

We have a phrase that we say in the Mastermind every so often, which is AI isn't coming for your job, but it is coming for your excuses.

Joe Downs (30:09):

Oh, I love it. I love it. Peter,

Peter Swain (30:12):

You can do anything.

Joe Downs (30:14):

What are we talking about next week, next episode. I'm super excited.

Peter Swain (30:18):

What do you want to talk about?

Joe Downs (30:20):

I want to keep learning AI parlor tricks. Well,

Peter Swain (30:23):

I think that's the general consensus.

Joe Downs (30:26):

How about this? I'm going to come to you with some selfish ones with, so I've been communicating with people on the street friends, people that are listening to podcast. I'm talking to them. I'm getting feedback. How about I come with what they want to hear?

Peter Swain (30:42):

Yeah.

Joe Downs (30:43):

Novel idea three. What does the audience,

Peter Swain (30:45):

Two or three real world use cases?

Joe Downs (30:46):

Let's do that. All right, I love it. Alright, very cool. So listen folks, if you think this episode made a difference in helping you either prepare for work or life, go ahead and hit the like button. It's for Peter, not for me. He's got this issue he's got to deal with. He needs to be liked. I'm kidding. We both love it. But more importantly, that helps us track the numbers and make sure that what we're doing here is actually landing so we can continue to deliver what's going to be helpful and beneficial to you subscribing ISS for you, just so you don't miss the next episode. And then for sharing, look, please share, but not until you've actually used one of these tricks. I don't want to beat a dead horse, but it's not going to be beneficial to anybody to say, Hey, you're listening to this podcast about ai, and then you don't actually know how to use it or haven't used it yourself. So use the objection, obliteration for your next sales call. Walk into your next meeting actually prepared. Help one of your kids with their homework using AI and then share it. Then share it with a coworker, then share it with another parent in your friend group or your kid's friend group who's struggling with whatever after you've shared it or share it after you've done it. You're sharing something proven now, and that's the kind of recommendation I think people actually act on. So thanks for listening and we will see you next week.