1 00:00:00,080 --> 00:00:02,680 Speaker 1: Welcome to my show. I'm Rashon McDonald, a host of 2 00:00:02,759 --> 00:00:06,120 Speaker 1: Money Making Conversations Masterclass, where we encourage people to stop 3 00:00:06,120 --> 00:00:10,000 Speaker 1: reading other people's success stories and start planning your own. Now, 4 00:00:10,000 --> 00:00:12,200 Speaker 1: you don't want to miss an episode, so please take 5 00:00:12,200 --> 00:00:14,800 Speaker 1: a moment right now to follow or subscribe to Money 6 00:00:14,800 --> 00:00:20,080 Speaker 1: Making Conversations Masterclass. It's free. You can follow me on iHeartRadio, app, Spotify, 7 00:00:20,320 --> 00:00:23,880 Speaker 1: Apple Podcasts, or wherever you listen to your podcast. New 8 00:00:23,920 --> 00:00:27,800 Speaker 1: Money Making Conversations Masterclass episodes drop daily. I want to 9 00:00:27,880 --> 00:00:30,440 Speaker 1: keep you on alert because my guests provide tips on 10 00:00:30,480 --> 00:00:34,360 Speaker 1: how you can uplift your community, improve your financial planning, motivation, 11 00:00:34,760 --> 00:00:38,199 Speaker 1: or advice on how to be a successful entrepreneur. Now, 12 00:00:38,240 --> 00:00:42,519 Speaker 1: let's get this podcast started. My guests founded Smart Growth Ai. 13 00:00:43,560 --> 00:00:47,800 Speaker 1: It helps busy professionals and entrepreneurs reclaim ten plus hours 14 00:00:47,840 --> 00:00:52,640 Speaker 1: a week using practical AI systems no tech degrees required. 15 00:00:53,000 --> 00:00:56,480 Speaker 1: The company teaches clients how to run or turn AI 16 00:00:56,640 --> 00:01:00,960 Speaker 1: from an intimidating buzzword into a personal system that handles 17 00:01:01,240 --> 00:01:06,400 Speaker 1: repetitive tasks, streamlines workflows, sharpens decision making, and creaged the 18 00:01:06,480 --> 00:01:11,279 Speaker 1: capacity needed to grow revenue and lead strategically. Please welcome 19 00:01:11,280 --> 00:01:15,000 Speaker 1: to money making conversation mathic class. Tanya Edmunds, How are 20 00:01:14,959 --> 00:01:16,160 Speaker 1: you doing, Tanya, I'm doing great. 21 00:01:16,160 --> 00:01:16,640 Speaker 2: How about you? 22 00:01:16,920 --> 00:01:21,640 Speaker 1: Well, you know AI. When did you first find discover 23 00:01:21,760 --> 00:01:22,839 Speaker 1: AI in your work? 24 00:01:23,120 --> 00:01:26,960 Speaker 3: Well, actually I found out in college in nineteen ninety eight. Okay, 25 00:01:27,160 --> 00:01:29,520 Speaker 3: so we had AI classes back then, but it's not 26 00:01:29,560 --> 00:01:31,959 Speaker 3: the JENAI you see today. And that's when I first 27 00:01:31,959 --> 00:01:34,319 Speaker 3: discovered it, and at the time I had no interest 28 00:01:34,319 --> 00:01:36,399 Speaker 3: in it. And then I got reacquainted with it in 29 00:01:36,440 --> 00:01:40,720 Speaker 3: twenty twenty where I started actually implementing AI solutions for 30 00:01:41,040 --> 00:01:42,760 Speaker 3: the company I worked for Johnson and Johnson. 31 00:01:43,120 --> 00:01:50,160 Speaker 1: Okay, cool soneteen ninety eight, AI artificial intelligence, those words 32 00:01:50,160 --> 00:01:53,240 Speaker 1: were being thrown around. Yes, just like DNA when it 33 00:01:53,280 --> 00:01:55,640 Speaker 1: first came out. It mean, I remember I read this 34 00:01:55,760 --> 00:01:58,400 Speaker 1: article how DNA was going to change the way the 35 00:01:58,480 --> 00:02:01,880 Speaker 1: judicial system work, and it has changed the way to 36 00:02:01,960 --> 00:02:07,320 Speaker 1: do digial system work. It finally caught on. Everybody uses it, Okay, now, AI. 37 00:02:08,200 --> 00:02:09,840 Speaker 1: I remember when I was in college way back in 38 00:02:09,919 --> 00:02:13,640 Speaker 1: seventy six, Management information system m i ASS it was 39 00:02:14,000 --> 00:02:17,880 Speaker 1: first introduced to me and I went eventually got a 40 00:02:17,880 --> 00:02:21,640 Speaker 1: degree in mathematics, which management information system is what runs 41 00:02:21,680 --> 00:02:26,000 Speaker 1: the world today. That digital part, you know. So I 42 00:02:26,120 --> 00:02:30,560 Speaker 1: was given the option. I didn't understand. But now it 43 00:02:30,600 --> 00:02:35,520 Speaker 1: is the global conversation that we deal with the digital footprint. Yes, 44 00:02:36,520 --> 00:02:40,360 Speaker 1: you were told about artificial intelligence in college as you 45 00:02:40,400 --> 00:02:44,080 Speaker 1: were coming along, you were introduced. When did it start? Dawn? 46 00:02:44,520 --> 00:02:47,080 Speaker 1: Done it on you? You had been told about this. 47 00:02:47,720 --> 00:02:50,200 Speaker 1: Now you're starting to lift the experiences of it. 48 00:02:50,680 --> 00:02:53,640 Speaker 3: That didn't happen until recently, so I say, in twenty twenty. 49 00:02:53,760 --> 00:02:55,360 Speaker 3: So when I heard about it, I had no interest 50 00:02:55,360 --> 00:02:57,680 Speaker 3: in it was very technical, very math focused. 51 00:02:58,000 --> 00:02:58,760 Speaker 2: Had no interest. 52 00:02:59,040 --> 00:03:01,680 Speaker 3: But then in twenty twenty, when we had COVID, we 53 00:03:01,720 --> 00:03:04,560 Speaker 3: had to find ways to work faster and improve our 54 00:03:04,600 --> 00:03:07,000 Speaker 3: processes when we couldn't be in the office, and that's 55 00:03:07,040 --> 00:03:09,400 Speaker 3: when we started looking at new technologies and we use 56 00:03:09,480 --> 00:03:13,280 Speaker 3: what's called natural language processing, machine learning, as well as 57 00:03:13,320 --> 00:03:16,480 Speaker 3: computer vision to do a lot of implementation to help us. 58 00:03:16,560 --> 00:03:18,560 Speaker 3: And during that timeframe, and that was when I was 59 00:03:18,600 --> 00:03:22,840 Speaker 3: first introduced. Then when Jennai came out, that's when I 60 00:03:22,919 --> 00:03:24,560 Speaker 3: knew it was going to be a game changer because 61 00:03:24,560 --> 00:03:27,280 Speaker 3: it was accessible to everyone and just for people to 62 00:03:27,360 --> 00:03:31,720 Speaker 3: know in reality, it's nothing but a major database that 63 00:03:31,840 --> 00:03:34,839 Speaker 3: can provide information very quickly, and because of the new 64 00:03:34,880 --> 00:03:37,920 Speaker 3: technology and microchips, were able to get the data to 65 00:03:37,920 --> 00:03:41,360 Speaker 3: people faster and it's cheaper, so now everybody has access 66 00:03:41,360 --> 00:03:43,120 Speaker 3: to it. And when I saw that, I said, okay, 67 00:03:43,160 --> 00:03:44,400 Speaker 3: this is the wave I need to jump on. 68 00:03:45,000 --> 00:03:48,560 Speaker 1: Now I want to go back to You know, everybody 69 00:03:48,560 --> 00:03:51,360 Speaker 1: has an impact on you, and your father had an 70 00:03:51,360 --> 00:03:54,280 Speaker 1: impact on you because he really preached the whole concept 71 00:03:54,280 --> 00:03:58,160 Speaker 1: of multiple strips of income and talk to us about that. 72 00:03:58,680 --> 00:04:00,400 Speaker 3: So yes, he did tell me about the most streams 73 00:04:00,440 --> 00:04:03,320 Speaker 3: of income to be wealthy. It didn't click. But what 74 00:04:03,480 --> 00:04:05,520 Speaker 3: really clicked for me is I went to a cookout 75 00:04:05,560 --> 00:04:09,080 Speaker 3: with a friend and cookout, Yeah, it was a cookout. 76 00:04:09,880 --> 00:04:11,880 Speaker 3: And that's when I say, you never know when the 77 00:04:11,920 --> 00:04:12,840 Speaker 3: teacher's going to show up. 78 00:04:12,840 --> 00:04:13,760 Speaker 2: You just gotta be ready. 79 00:04:14,200 --> 00:04:17,520 Speaker 3: And when I was at this cookout, his girlfriend was like, 80 00:04:18,160 --> 00:04:20,360 Speaker 3: she was my subority sister. I remember of Delta Sigma 81 00:04:20,400 --> 00:04:26,560 Speaker 3: Theta sororities incorporated it. Okay, so she said, you know 82 00:04:26,600 --> 00:04:28,440 Speaker 3: you're cute, No, but what kind of access do you 83 00:04:28,520 --> 00:04:30,760 Speaker 3: have which through me? Because I'm like, well, who the 84 00:04:30,800 --> 00:04:32,960 Speaker 3: heck are you? You know to talk to me like this? 85 00:04:33,960 --> 00:04:35,680 Speaker 2: And then I said, was it. 86 00:04:35,600 --> 00:04:39,119 Speaker 1: The asset, no asset, that major man or the cute 87 00:04:39,120 --> 00:04:39,400 Speaker 1: and all. 88 00:04:39,680 --> 00:04:40,760 Speaker 2: I think it was a whole thing. 89 00:04:41,360 --> 00:04:43,279 Speaker 3: But then when I thought about it, I didn't have 90 00:04:43,279 --> 00:04:45,200 Speaker 3: an answer for right, So you know, I had a 91 00:04:45,279 --> 00:04:47,200 Speaker 3: nice car designer bag I. 92 00:04:47,200 --> 00:04:49,760 Speaker 2: Didn't really have an answer for. And that's when she said, 93 00:04:49,800 --> 00:04:53,160 Speaker 2: you know what, come to my house on Sunday. I'm 94 00:04:53,200 --> 00:04:54,960 Speaker 2: having brunch. So I was like, well, I'm gonna go. 95 00:04:55,000 --> 00:04:57,719 Speaker 2: Because one she's my sorority sister, she's my friend's girlfriend. 96 00:04:58,000 --> 00:05:01,720 Speaker 2: Let me go. That changed everything because at that moment, with. 97 00:05:01,720 --> 00:05:05,080 Speaker 3: The conversations I had with her, it helped me understand 98 00:05:05,200 --> 00:05:07,800 Speaker 3: multiple streams of income. So just to share with you, 99 00:05:08,279 --> 00:05:10,039 Speaker 3: she had us play this game called the cash Flow 100 00:05:10,080 --> 00:05:13,880 Speaker 3: Quadrant by Robert Kawasaki, and when we played that game, 101 00:05:14,080 --> 00:05:15,719 Speaker 3: it helped us understand we don't need to be in 102 00:05:15,720 --> 00:05:18,680 Speaker 3: a rat race all the time being an employee because 103 00:05:18,720 --> 00:05:20,239 Speaker 3: you can't really get ahead in that way. 104 00:05:20,760 --> 00:05:22,280 Speaker 2: You have to leverage your money. 105 00:05:22,560 --> 00:05:25,640 Speaker 3: And so that created a mastermind among us to really 106 00:05:25,760 --> 00:05:28,800 Speaker 3: understand how to start building wealk. That's when it clipped 107 00:05:29,040 --> 00:05:32,479 Speaker 3: having these conversations with other people that were like minded, 108 00:05:32,520 --> 00:05:34,160 Speaker 3: and it helped bring me along on the journey. 109 00:05:34,680 --> 00:05:39,719 Speaker 1: So smart was it smart growth AI? That's your company code? 110 00:05:39,760 --> 00:05:40,880 Speaker 2: It is what is that? 111 00:05:41,400 --> 00:05:44,520 Speaker 3: So that's an actual consultant and training company where I 112 00:05:44,600 --> 00:05:49,400 Speaker 3: actually help individuals and companies adopt AI, not just learning 113 00:05:49,440 --> 00:05:52,039 Speaker 3: the tool, but how to use it and adopt it. 114 00:05:52,160 --> 00:05:54,680 Speaker 3: Because many times people will buy all these tools, spend 115 00:05:54,680 --> 00:05:57,200 Speaker 3: all this money, and then no one's using it and 116 00:05:57,240 --> 00:05:59,400 Speaker 3: they're not using it to the full capacity. And that's 117 00:05:59,440 --> 00:06:01,680 Speaker 3: where I come in them help bridge that gap. And 118 00:06:01,720 --> 00:06:02,720 Speaker 3: that's what the company does. 119 00:06:03,839 --> 00:06:05,320 Speaker 1: So what makes it work? 120 00:06:05,920 --> 00:06:06,720 Speaker 2: What makes it work? 121 00:06:06,839 --> 00:06:10,279 Speaker 3: Number one is having empathy and people. It's not a 122 00:06:10,320 --> 00:06:14,040 Speaker 3: technology problem, it's the people problem. Right when you bring 123 00:06:14,120 --> 00:06:16,280 Speaker 3: something in, you're telling people, I want you to use 124 00:06:16,279 --> 00:06:19,159 Speaker 3: a tool that could potentially replace me, and you have 125 00:06:19,200 --> 00:06:21,599 Speaker 3: to have empathy with people with that because one, they 126 00:06:21,680 --> 00:06:24,680 Speaker 3: have fear, the fear of this new technology that keeps 127 00:06:24,720 --> 00:06:27,920 Speaker 3: changing consistently. But then they're looking at a technology that 128 00:06:27,960 --> 00:06:30,960 Speaker 3: they're training that could eventually take away their jobs. 129 00:06:31,320 --> 00:06:32,320 Speaker 2: And so the way we do. 130 00:06:32,240 --> 00:06:34,120 Speaker 3: That is we help them learn how to make it, 131 00:06:34,120 --> 00:06:37,120 Speaker 3: be a co creator with them, but also showing them 132 00:06:37,160 --> 00:06:39,920 Speaker 3: the pathway of where their future could go using the tool. 133 00:06:40,160 --> 00:06:43,200 Speaker 3: If they don't adopt these tools and lessons now they 134 00:06:43,240 --> 00:06:44,200 Speaker 3: will be left behind. 135 00:06:45,000 --> 00:06:47,760 Speaker 1: Yeah, because they know understand what they are the potential 136 00:06:47,760 --> 00:06:50,760 Speaker 1: of it is used exactly. And so with that being said, 137 00:06:51,160 --> 00:06:54,200 Speaker 1: where there's the learning curve come for the employees at 138 00:06:54,240 --> 00:06:57,240 Speaker 1: each forty hour weeks job. Like my daughter, you know, 139 00:06:57,320 --> 00:07:00,320 Speaker 1: she took all the responsibility of learning how to use 140 00:07:00,440 --> 00:07:03,599 Speaker 1: AI entity. I didn't ask her, and it was allowed 141 00:07:03,680 --> 00:07:08,840 Speaker 1: us to be able to discontinue a contract with the 142 00:07:08,880 --> 00:07:13,040 Speaker 1: outside vendor. It helped us by our turnaround time increased. 143 00:07:13,600 --> 00:07:15,640 Speaker 1: I like to believe that he did a good job, 144 00:07:15,640 --> 00:07:19,240 Speaker 1: but I like to believe that her accuracy factor went 145 00:07:19,320 --> 00:07:22,360 Speaker 1: up because she just cared a little bit more about 146 00:07:22,400 --> 00:07:25,080 Speaker 1: the product. When you are dealing with outside vendors, they 147 00:07:25,080 --> 00:07:27,640 Speaker 1: have maybe have four or five or ten clients and 148 00:07:27,680 --> 00:07:31,080 Speaker 1: they're just churning out the work. Yes, and so attention 149 00:07:31,200 --> 00:07:35,160 Speaker 1: to detail can get lost. And so I know that 150 00:07:35,840 --> 00:07:39,160 Speaker 1: she took on that responsibility outside of her work hours. 151 00:07:39,600 --> 00:07:42,360 Speaker 1: Now people are listening. They have to learn now that 152 00:07:42,680 --> 00:07:45,160 Speaker 1: you can't if you're trying to do something, whether it 153 00:07:45,200 --> 00:07:49,000 Speaker 1: benefits the company or benefits yourself. When do they take 154 00:07:49,040 --> 00:07:50,920 Speaker 1: on that responsibility. 155 00:07:50,160 --> 00:07:52,800 Speaker 3: Of training themselves, Well, they have to do it after 156 00:07:52,880 --> 00:07:54,920 Speaker 3: hours the main time they have to do it. But 157 00:07:55,720 --> 00:07:57,960 Speaker 3: I had to say, if they are learning AI, it 158 00:07:58,000 --> 00:08:00,240 Speaker 3: will help them leverage your time. I think what people 159 00:08:00,280 --> 00:08:03,120 Speaker 3: get in trouble with is that they take on more 160 00:08:03,160 --> 00:08:05,680 Speaker 3: because they feel like they have more capacity, and then 161 00:08:05,680 --> 00:08:07,920 Speaker 3: they start to have burnout. So making sure that they 162 00:08:07,960 --> 00:08:11,360 Speaker 3: have a way of I'm increasing my time to be 163 00:08:11,360 --> 00:08:13,560 Speaker 3: able to do other things like learning AI and then 164 00:08:13,560 --> 00:08:16,000 Speaker 3: taking on some of their repetitive tasks, or use that 165 00:08:16,080 --> 00:08:19,120 Speaker 3: time for strategy, figure out what my next steps are 166 00:08:19,160 --> 00:08:21,559 Speaker 3: going to be, and leveraging AI for that, but also 167 00:08:21,600 --> 00:08:24,320 Speaker 3: having some downtime because if you don't have downtime, it's 168 00:08:24,320 --> 00:08:26,480 Speaker 3: really hard for you to have capacity for more things. 169 00:08:26,720 --> 00:08:30,360 Speaker 1: Cool. I'm talking ton Tanya edwhen she founded smart Growth AI, 170 00:08:30,720 --> 00:08:34,520 Speaker 1: which helps busy professionals and entrepreneurs reclaimed ten plus hours 171 00:08:34,559 --> 00:08:38,080 Speaker 1: a week using practical AI system. When I look at 172 00:08:38,040 --> 00:08:42,760 Speaker 1: these different options you have, I met you at at 173 00:08:42,840 --> 00:08:46,360 Speaker 1: least a little she's known as the Queen of AI. Yes, 174 00:08:46,920 --> 00:08:50,120 Speaker 1: now I went there because I brought my staff there 175 00:08:51,559 --> 00:08:54,640 Speaker 1: just to create AI conversation. 176 00:08:55,360 --> 00:08:58,360 Speaker 3: I think that that's the least start there. Why were 177 00:08:58,400 --> 00:09:01,199 Speaker 3: you there, Well, she's my teacher and trainer. She put 178 00:09:01,240 --> 00:09:03,160 Speaker 3: me on this whole trajectory. I've been with her since 179 00:09:03,160 --> 00:09:05,640 Speaker 3: she began in what she has her cohorts. I was 180 00:09:05,720 --> 00:09:08,680 Speaker 3: cohort number four and once I met her at an. 181 00:09:08,720 --> 00:09:12,920 Speaker 1: Okay, let's slow down, so Alicia Little, yes, I'll allow 182 00:09:12,920 --> 00:09:14,560 Speaker 1: you to explain to everybody who she is. 183 00:09:14,679 --> 00:09:17,360 Speaker 3: So Elisia Little is the Queen of AI and she 184 00:09:17,520 --> 00:09:20,719 Speaker 3: teaches AI courses. So she teaches them virtually and you 185 00:09:20,760 --> 00:09:23,160 Speaker 3: can also hire her to teach them in person. And 186 00:09:23,320 --> 00:09:26,400 Speaker 3: I met her at an event which is called ITSMTH, 187 00:09:26,440 --> 00:09:29,800 Speaker 3: which is Information Technology Senior Managers for she was one 188 00:09:29,800 --> 00:09:32,640 Speaker 3: of the guest presenters. Once I got there and she 189 00:09:32,720 --> 00:09:36,240 Speaker 3: did her presentation, I was hooked. I met her afterwards 190 00:09:36,240 --> 00:09:38,559 Speaker 3: and she says, hey, if you're interested, you should become 191 00:09:38,600 --> 00:09:42,280 Speaker 3: a certified AI consultant. And it was no question. I 192 00:09:42,280 --> 00:09:45,360 Speaker 3: immediately signed up and then we built a relationship. And 193 00:09:45,400 --> 00:09:47,640 Speaker 3: so that's why I was at her event. And so 194 00:09:47,720 --> 00:09:51,880 Speaker 3: I've been with her since twenty twenty three. I believe 195 00:09:51,920 --> 00:09:54,360 Speaker 3: it's been wow, No, maybe twenty twenty four. I've been 196 00:09:54,400 --> 00:09:57,000 Speaker 3: her since twenty twenty four, and she's been my coach 197 00:09:57,040 --> 00:09:58,120 Speaker 3: and trainer ever since. 198 00:09:58,720 --> 00:10:01,319 Speaker 2: And I tell you she's phenomenal. 199 00:10:01,720 --> 00:10:04,360 Speaker 1: So what's the advantages of that I'm talking about because 200 00:10:04,400 --> 00:10:07,000 Speaker 1: you have your company and then you're working with her 201 00:10:07,040 --> 00:10:10,040 Speaker 1: company as a mentor or a mentee or you get clients 202 00:10:10,040 --> 00:10:13,120 Speaker 1: from her. I just want to educate everybody the opportunities 203 00:10:13,160 --> 00:10:16,080 Speaker 1: out there how you can grow your brand by creating 204 00:10:16,080 --> 00:10:16,920 Speaker 1: a relationship. 205 00:10:17,120 --> 00:10:18,880 Speaker 2: Yes, in the AI. 206 00:10:18,640 --> 00:10:21,280 Speaker 3: Arena and the AI so in her relationship, she has 207 00:10:21,320 --> 00:10:24,120 Speaker 3: different types of courses, but she also has something which 208 00:10:24,200 --> 00:10:26,880 Speaker 3: called the Mastermind and when you become a part of 209 00:10:26,880 --> 00:10:30,199 Speaker 3: her Mastermind group, that's when you're able to do opportunities 210 00:10:30,200 --> 00:10:32,560 Speaker 3: and partner with her on ventures and so being in 211 00:10:32,559 --> 00:10:35,200 Speaker 3: a Mastermind group, so yes, I have done trainings for 212 00:10:35,240 --> 00:10:38,560 Speaker 3: her when she's not available, because she trains you where 213 00:10:38,600 --> 00:10:40,920 Speaker 3: she feels comfortable that you can go out and represent 214 00:10:40,960 --> 00:10:41,480 Speaker 3: the company. 215 00:10:41,840 --> 00:10:43,280 Speaker 2: And so that's one of the ways that I do 216 00:10:43,320 --> 00:10:43,800 Speaker 2: that with her. 217 00:10:44,360 --> 00:10:47,480 Speaker 3: And then I think partnerships in general because being a 218 00:10:47,480 --> 00:10:50,480 Speaker 3: part of that Mastermind group, I've met other partners and 219 00:10:50,520 --> 00:10:53,040 Speaker 3: we've done ventures together, and so that's one of the 220 00:10:53,040 --> 00:10:54,000 Speaker 3: things that we've done. 221 00:10:54,679 --> 00:10:57,480 Speaker 1: You know, I have six sisters, have a single I 222 00:10:57,480 --> 00:11:01,839 Speaker 1: have a daughter. Love of my life. Your message to 223 00:11:01,880 --> 00:11:07,600 Speaker 1: women who are still spending but not investing. Talk to us, I. 224 00:11:07,559 --> 00:11:11,000 Speaker 3: Would say, one, it's important to get the right mentorship 225 00:11:11,480 --> 00:11:13,200 Speaker 3: because if you're led the wrong way, you can lose 226 00:11:13,200 --> 00:11:15,000 Speaker 3: a lot of money. And then also making sure that 227 00:11:15,040 --> 00:11:18,280 Speaker 3: they educate themselves and when they do investments, invest in 228 00:11:18,320 --> 00:11:20,280 Speaker 3: things that they understand, and if they don't, make sure 229 00:11:20,320 --> 00:11:22,839 Speaker 3: they get the education for it. So even if it's 230 00:11:22,880 --> 00:11:24,880 Speaker 3: just one hundred dollars a week or one hundred dollars 231 00:11:24,960 --> 00:11:27,080 Speaker 3: a month, every little bit counts, whether it's in the 232 00:11:27,080 --> 00:11:31,160 Speaker 3: stock market or any other type of investment. What I 233 00:11:31,320 --> 00:11:34,160 Speaker 3: chose was to find investments that didn't require my day 234 00:11:34,200 --> 00:11:36,360 Speaker 3: to day activities with it. So one of them I 235 00:11:36,440 --> 00:11:39,480 Speaker 3: chose real estate investing because I had a full time job, 236 00:11:39,520 --> 00:11:41,680 Speaker 3: so I really couldn't dedicate a lot of time to 237 00:11:41,760 --> 00:11:45,000 Speaker 3: something else. So what can I make money on that 238 00:11:45,040 --> 00:11:47,959 Speaker 3: I'm not having to pay attention to every day. And 239 00:11:48,360 --> 00:11:50,280 Speaker 3: what I would say for women is, you know, if 240 00:11:50,280 --> 00:11:52,320 Speaker 3: they don't have enough on their own, they can also 241 00:11:52,559 --> 00:11:55,120 Speaker 3: partner with other women that they trust, making sure they 242 00:11:55,120 --> 00:11:57,640 Speaker 3: have an operating agreement and they can go over deals together. 243 00:11:58,280 --> 00:12:00,640 Speaker 3: And then lastly, if they don't have a lot of money, 244 00:12:00,640 --> 00:12:03,199 Speaker 3: but they have a four to one K. They can 245 00:12:03,240 --> 00:12:05,040 Speaker 3: take some of their money from the four one K 246 00:12:05,200 --> 00:12:08,640 Speaker 3: and roll it into what's called a self directed IRA, 247 00:12:09,280 --> 00:12:13,200 Speaker 3: which allows them to make their own investments, leveraging their 248 00:12:13,280 --> 00:12:15,480 Speaker 3: money that they got from four one K, because that's 249 00:12:15,520 --> 00:12:17,440 Speaker 3: probably one of the largest sums of money they have. 250 00:12:18,240 --> 00:12:20,600 Speaker 3: When you put it over there, all of your profits 251 00:12:20,640 --> 00:12:23,719 Speaker 3: you grow are also taking advantage of what you woul 252 00:12:23,720 --> 00:12:25,600 Speaker 3: get in a four one K, So they can do 253 00:12:25,679 --> 00:12:28,400 Speaker 3: real estate investment, or they can be an angel investor 254 00:12:28,400 --> 00:12:32,000 Speaker 3: into a business by leveraging what's called a solo IRA. 255 00:12:32,760 --> 00:12:36,840 Speaker 1: Awesome. Awesome. Now, when you look at life as you 256 00:12:37,000 --> 00:12:40,760 Speaker 1: stand right here, what are the goals of your company? 257 00:12:41,040 --> 00:12:44,720 Speaker 1: And how can one we talked about the Queen of AI. 258 00:12:45,040 --> 00:12:46,160 Speaker 1: How does one reach you? 259 00:12:47,080 --> 00:12:49,640 Speaker 3: Well, they can find me on linkedink and I also 260 00:12:50,240 --> 00:12:53,959 Speaker 3: Tony Edmonds. But I also wrote a book because a 261 00:12:54,000 --> 00:12:56,320 Speaker 3: lot of people ask me questions about AI. I found 262 00:12:56,360 --> 00:12:58,559 Speaker 3: that I was repeating the same answers over and over again. 263 00:12:59,120 --> 00:13:01,079 Speaker 3: So what I did is a book which is called 264 00:13:01,200 --> 00:13:04,719 Speaker 3: Level Up Now, The AI Toolkit for Modern Entrepreneurs, which 265 00:13:04,760 --> 00:13:07,560 Speaker 3: is available on Amazon. That's another way they can find 266 00:13:07,600 --> 00:13:11,000 Speaker 3: me with the Level Up Now, The AI Toolkit for 267 00:13:11,160 --> 00:13:13,760 Speaker 3: Modern Entrepreneurs, which is available on Amazon. 268 00:13:13,800 --> 00:13:15,840 Speaker 1: When you say modern entrepreneurs, what do you mean when 269 00:13:15,840 --> 00:13:17,079 Speaker 1: you say that, because. 270 00:13:16,800 --> 00:13:18,920 Speaker 3: Of the entrepreneurs of today and everyone wants to be 271 00:13:19,000 --> 00:13:21,400 Speaker 3: modernized and so how to do that and they leverage 272 00:13:21,440 --> 00:13:22,800 Speaker 3: AI and so that's. 273 00:13:22,640 --> 00:13:23,439 Speaker 2: What I mean by that. 274 00:13:24,040 --> 00:13:26,439 Speaker 1: Please don't go anywhere. We'll be right back with more 275 00:13:26,480 --> 00:13:28,440 Speaker 1: Money Making Conversations master Class. 276 00:13:28,960 --> 00:13:30,560 Speaker 4: No, I need for you to do me a favor 277 00:13:31,280 --> 00:13:34,720 Speaker 4: right now to follow or subscribe to Money Making Conversation. 278 00:13:35,000 --> 00:13:39,280 Speaker 4: It's free and you can find it on the iHeartRadio app, Spotify, 279 00:13:39,600 --> 00:13:43,480 Speaker 4: Apple Podcasts, or wherever you get your podcasts. Please do 280 00:13:43,559 --> 00:13:51,440 Speaker 4: me that favor, follow or subscribe Money Making Conversations. Welcome 281 00:13:51,440 --> 00:13:54,960 Speaker 4: back to Money Making Conversations master Class with me Rashaun McDonald. 282 00:13:55,120 --> 00:13:58,200 Speaker 1: Your website, you said LinkedIn. Do you have a website? 283 00:13:58,320 --> 00:14:01,000 Speaker 3: I do have a website, which is Smart Growth Ai 284 00:14:01,640 --> 00:14:02,199 Speaker 3: dot AI. 285 00:14:02,360 --> 00:14:04,800 Speaker 1: When somebody goes to the website, what's the experience? 286 00:14:05,559 --> 00:14:07,880 Speaker 2: The experience goes over what I'm about. 287 00:14:08,120 --> 00:14:10,920 Speaker 3: It tells about me in my background, and it also 288 00:14:11,000 --> 00:14:12,800 Speaker 3: shares some of the offerings that I have from one 289 00:14:12,880 --> 00:14:15,520 Speaker 3: of a teaching standpoint, but I also have a monthly 290 00:14:15,600 --> 00:14:18,160 Speaker 3: course where people can come every month and learn some 291 00:14:18,200 --> 00:14:19,600 Speaker 3: of the latest and greatest. 292 00:14:19,240 --> 00:14:20,320 Speaker 2: Tools in AI. 293 00:14:20,400 --> 00:14:22,480 Speaker 3: It's a hands on course that we meet for one 294 00:14:22,520 --> 00:14:26,560 Speaker 3: hour every third Monday from seven to eight Eastern Standard time. 295 00:14:26,680 --> 00:14:30,920 Speaker 1: Okay, okay, now you know you lost your corporate job 296 00:14:30,960 --> 00:14:35,680 Speaker 1: while you was preadnant. Now that sounds bad. 297 00:14:36,040 --> 00:14:36,800 Speaker 2: It was bad. 298 00:14:37,520 --> 00:14:42,680 Speaker 1: It was really bad, and you had to struggle. How 299 00:14:42,680 --> 00:14:43,480 Speaker 1: did you overcome that? 300 00:14:44,560 --> 00:14:47,520 Speaker 3: So what's interesting about that is it luckily, because I 301 00:14:47,520 --> 00:14:51,760 Speaker 3: had learned about having multiple streams of income, I had 302 00:14:51,840 --> 00:14:55,440 Speaker 3: the ability to have some income coming in from one 303 00:14:55,440 --> 00:14:57,480 Speaker 3: of my investments that I had. It allowed me to 304 00:14:57,520 --> 00:15:00,920 Speaker 3: have a little bit of breathing. But would always say, 305 00:15:00,960 --> 00:15:03,400 Speaker 3: you'd be careful about who you plant seeds with because 306 00:15:03,880 --> 00:15:05,760 Speaker 3: they can also come back and help you. And that's 307 00:15:05,760 --> 00:15:08,680 Speaker 3: what happened for me. I had a mentor that I 308 00:15:08,760 --> 00:15:11,560 Speaker 3: had worked for me years ago happened to call me 309 00:15:11,600 --> 00:15:14,000 Speaker 3: and says, Hey, I need an employee who can do 310 00:15:14,040 --> 00:15:14,760 Speaker 3: project management. 311 00:15:14,800 --> 00:15:15,680 Speaker 2: Do you know of anyone? 312 00:15:16,000 --> 00:15:18,360 Speaker 3: And I immediately was like me because at the time 313 00:15:18,400 --> 00:15:21,000 Speaker 3: I was unemployed, I had this newborn baby. 314 00:15:21,080 --> 00:15:22,320 Speaker 2: I didn't know what I was going to do. 315 00:15:22,400 --> 00:15:25,840 Speaker 3: And in addition to this, I had just recently opened 316 00:15:25,880 --> 00:15:28,560 Speaker 3: up a day spa so I had all of these things. 317 00:15:28,280 --> 00:15:29,280 Speaker 2: Happening at one time. 318 00:15:29,600 --> 00:15:31,840 Speaker 3: I didn't know what I was going to do, and 319 00:15:32,160 --> 00:15:34,000 Speaker 3: I knew that day spot was not giving me enough 320 00:15:34,040 --> 00:15:36,160 Speaker 3: money to satisfy my infant and myself. 321 00:15:36,520 --> 00:15:37,280 Speaker 1: What a day spa? 322 00:15:37,520 --> 00:15:39,800 Speaker 3: So a day spa is a spa where you come 323 00:15:39,800 --> 00:15:43,480 Speaker 3: and get massages, spatials, manicure, pedicures. 324 00:15:43,160 --> 00:15:45,160 Speaker 2: And that's what I had. A day spot was located 325 00:15:45,160 --> 00:15:47,080 Speaker 2: in DuPont Circle in Washington, DC. 326 00:15:47,760 --> 00:15:50,160 Speaker 1: Why did you think you can make money as being 327 00:15:50,160 --> 00:15:53,080 Speaker 1: the owner of a day spot? What research did you do? 328 00:15:53,400 --> 00:15:53,800 Speaker 2: Okay? 329 00:15:53,880 --> 00:15:57,320 Speaker 3: So when I went to Sedona, I fell in love 330 00:15:57,360 --> 00:16:01,000 Speaker 3: with the spa experience. But in Sedona and Sedona, Arizona. Yes, 331 00:16:01,040 --> 00:16:02,360 Speaker 3: that's where I got first experienced. 332 00:16:02,360 --> 00:16:05,960 Speaker 1: You know an Arizona that's where you go for the experience. 333 00:16:06,080 --> 00:16:06,480 Speaker 2: Exactly. 334 00:16:06,480 --> 00:16:09,720 Speaker 3: Okay, cool, But at the same time I was finding myself. 335 00:16:09,760 --> 00:16:12,120 Speaker 3: Once I came home, that kind of opened my eyes 336 00:16:12,160 --> 00:16:13,400 Speaker 3: to like the spa experience. 337 00:16:13,960 --> 00:16:14,680 Speaker 2: But people were. 338 00:16:14,640 --> 00:16:16,440 Speaker 3: Very busy and they may not have all day to 339 00:16:16,480 --> 00:16:18,000 Speaker 3: be in a spot. So I said, well, how could 340 00:16:18,000 --> 00:16:21,000 Speaker 3: I give express services? And I found myself going to 341 00:16:21,080 --> 00:16:24,200 Speaker 3: multiple people. One place to get my eyebrows wax, one 342 00:16:24,200 --> 00:16:26,160 Speaker 3: place to get my nails done because everyone had a 343 00:16:26,160 --> 00:16:28,760 Speaker 3: different specialty. And I said, well, what if I combined 344 00:16:28,800 --> 00:16:31,120 Speaker 3: all these in one place and created what was like 345 00:16:31,160 --> 00:16:33,960 Speaker 3: an express spot. That was my theme. You didn't come 346 00:16:33,960 --> 00:16:35,600 Speaker 3: in there to hang out all day. It was an 347 00:16:35,640 --> 00:16:37,520 Speaker 3: express spot. That was my differentiator. 348 00:16:38,200 --> 00:16:41,760 Speaker 1: And let menswer this time, who were you talking y'all 349 00:16:41,800 --> 00:16:42,720 Speaker 1: along the way. 350 00:16:43,880 --> 00:16:47,080 Speaker 2: When I did the day spot. At the time, it 351 00:16:47,120 --> 00:16:48,720 Speaker 2: was all in my head initially. 352 00:16:48,640 --> 00:16:51,320 Speaker 1: That's what I'm saying. So you had no mentor, no mentors, 353 00:16:51,440 --> 00:16:53,000 Speaker 1: So let's let everybody hear that. 354 00:16:53,120 --> 00:16:55,080 Speaker 2: Yes, I had no mentors, no mentors. 355 00:16:55,080 --> 00:16:58,240 Speaker 3: I was trying to figure it out, and I was 356 00:16:58,280 --> 00:17:00,600 Speaker 3: making this all up, creating business places for as. I 357 00:17:00,600 --> 00:17:03,400 Speaker 3: had nothing to leverage or help me. I was creating 358 00:17:03,400 --> 00:17:05,239 Speaker 3: all these ideas myself. So I was like, oh, we 359 00:17:05,240 --> 00:17:07,840 Speaker 3: were the best waxers and the best nail people, have 360 00:17:07,960 --> 00:17:08,840 Speaker 3: more in one place. 361 00:17:09,320 --> 00:17:10,600 Speaker 2: We can have this express spot. 362 00:17:11,680 --> 00:17:14,240 Speaker 3: Found a nice location, and people who may not know, 363 00:17:14,280 --> 00:17:16,960 Speaker 3: in DC, DuPont Circle, Connecticut Avenue is prime real estate, 364 00:17:16,960 --> 00:17:19,399 Speaker 3: so I was in a prime real estate location creating 365 00:17:19,440 --> 00:17:21,879 Speaker 3: this spa. I was working in dot com, so I 366 00:17:21,920 --> 00:17:23,199 Speaker 3: was making a lot of money at the time, and 367 00:17:23,240 --> 00:17:26,840 Speaker 3: that was helped me float that business. When that job 368 00:17:27,200 --> 00:17:29,679 Speaker 3: failed and they did a layoff because of course, you know, 369 00:17:29,720 --> 00:17:31,560 Speaker 3: dot coms were opened and closed and left and right. 370 00:17:32,560 --> 00:17:34,159 Speaker 3: That's when I said, oh, oh my goodness, what am 371 00:17:34,200 --> 00:17:36,879 Speaker 3: I going to do? Back to your question about the 372 00:17:37,400 --> 00:17:40,359 Speaker 3: gentleman who was my mentor, he said, hey, I have 373 00:17:40,400 --> 00:17:40,800 Speaker 3: a job. 374 00:17:41,359 --> 00:17:42,120 Speaker 2: Are you interested? 375 00:17:42,240 --> 00:17:45,200 Speaker 3: I raised my hand, I said absolutely, and I took 376 00:17:45,240 --> 00:17:47,000 Speaker 3: the job because he said, you know, you're overqualify it, 377 00:17:47,040 --> 00:17:49,639 Speaker 3: so it doesn't matter. I just need the income. I 378 00:17:49,720 --> 00:17:52,320 Speaker 3: took the job, and that was something I could easily do. 379 00:17:53,720 --> 00:17:56,560 Speaker 3: But when you said about the mentorship, I had this 380 00:17:56,680 --> 00:17:59,439 Speaker 3: day SPA that was doing well because I had, you know, 381 00:18:00,040 --> 00:18:03,639 Speaker 3: I was in Black Enterprise and Essays Magazine all its publications. 382 00:18:04,000 --> 00:18:06,040 Speaker 3: But as time went on, it became a struggle because 383 00:18:06,080 --> 00:18:09,080 Speaker 3: I didn't have the right mentorship to help me work 384 00:18:09,080 --> 00:18:12,080 Speaker 3: in an industry that I was not licensed. Then I 385 00:18:12,160 --> 00:18:15,280 Speaker 3: had didn't know how to do services. I was using 386 00:18:15,320 --> 00:18:19,159 Speaker 3: my project management skills and management skills to say, you 387 00:18:19,200 --> 00:18:20,760 Speaker 3: all just go do your work, but it's more of 388 00:18:20,760 --> 00:18:22,840 Speaker 3: a hands on feeling business. 389 00:18:23,480 --> 00:18:24,879 Speaker 2: And that was one of the challenges. 390 00:18:25,240 --> 00:18:27,560 Speaker 3: And so even though I had lost my job, instead 391 00:18:27,600 --> 00:18:30,119 Speaker 3: of me trusting myself and throwing myself into the business 392 00:18:30,119 --> 00:18:32,719 Speaker 3: one hundred and ten percent. I was still having one 393 00:18:32,800 --> 00:18:34,480 Speaker 3: foot in and one foot out, and I think that 394 00:18:34,560 --> 00:18:36,960 Speaker 3: was one of the biggest challenges. And then also secondly, 395 00:18:37,160 --> 00:18:40,639 Speaker 3: I didn't have the right mentorships. And third because I 396 00:18:40,720 --> 00:18:43,200 Speaker 3: was so busy being a mom, working a full time 397 00:18:43,280 --> 00:18:45,399 Speaker 3: job and trying to run the business, I didn't have 398 00:18:45,480 --> 00:18:49,199 Speaker 3: the right networks within the neighborhood with other businesses or 399 00:18:49,320 --> 00:18:50,240 Speaker 3: chambers of commerce. 400 00:18:50,560 --> 00:18:52,119 Speaker 2: So those were some of the challenges I had with 401 00:18:52,160 --> 00:18:52,760 Speaker 2: that business. 402 00:18:53,200 --> 00:18:55,639 Speaker 1: Well, you know really interesting that you know, you have 403 00:18:55,680 --> 00:18:56,400 Speaker 1: a book. 404 00:18:56,119 --> 00:19:00,520 Speaker 2: It's next level, right, next level, Up Now, Love Now. 405 00:19:00,440 --> 00:19:05,520 Speaker 1: Apologize Love Love Now, and basically as an AI strategy 406 00:19:05,560 --> 00:19:07,040 Speaker 1: book for the modern entrepreneur. 407 00:19:07,240 --> 00:19:08,800 Speaker 2: Right, it tells them how to get started. 408 00:19:08,920 --> 00:19:13,040 Speaker 1: Okay, cool. If you were to sit here and tell 409 00:19:13,119 --> 00:19:17,840 Speaker 1: my company what makes you special? Why should we come 410 00:19:17,880 --> 00:19:24,040 Speaker 1: to you for this modern process? And what is the relationship? 411 00:19:24,119 --> 00:19:27,000 Speaker 1: How long does this last? Is this a monthly relationship? 412 00:19:27,320 --> 00:19:29,800 Speaker 1: Do your trainings for six months and we can walk away? 413 00:19:30,400 --> 00:19:31,480 Speaker 1: What is it? 414 00:19:30,840 --> 00:19:34,119 Speaker 3: It all depends on the actual engagement. So that's what 415 00:19:34,240 --> 00:19:36,080 Speaker 3: and the three first thing I do is find out 416 00:19:36,119 --> 00:19:38,040 Speaker 3: what is it that they need, so I can make 417 00:19:38,080 --> 00:19:40,480 Speaker 3: sure that it's a great fit and the reason why 418 00:19:40,480 --> 00:19:42,439 Speaker 3: they come to me because I'm not just one who 419 00:19:42,520 --> 00:19:44,760 Speaker 3: has worked with jen Ai. I've been dealing with AI 420 00:19:45,359 --> 00:19:48,000 Speaker 3: before starting in twenty twenty with some of the other 421 00:19:48,080 --> 00:19:51,879 Speaker 3: native tools. I've implemented systems for Fortune fifty companies. 422 00:19:52,280 --> 00:19:53,760 Speaker 2: I've been an entrepreneur. 423 00:19:53,320 --> 00:19:55,760 Speaker 3: Myself, so I've been in their shoes, understand what to do, 424 00:19:56,320 --> 00:19:58,680 Speaker 3: and I use it for myself, and so I think 425 00:19:58,720 --> 00:20:01,080 Speaker 3: that's what the differentiator is. I've been in these different 426 00:20:01,080 --> 00:20:02,679 Speaker 3: walks of life that I can bring all of this 427 00:20:02,760 --> 00:20:05,920 Speaker 3: experience to the table of understanding what's required to make 428 00:20:05,920 --> 00:20:06,280 Speaker 3: it work. 429 00:20:06,359 --> 00:20:08,200 Speaker 1: Let's get their website out one more time. 430 00:20:08,119 --> 00:20:13,119 Speaker 3: For Smart Control AI, Smart Smart Growth AI dot AI. 431 00:20:13,800 --> 00:20:16,719 Speaker 1: Yeah, I'm talking to an Tanya Van's a Smart Growth 432 00:20:16,760 --> 00:20:21,400 Speaker 1: AI business health professional and entrepreneurship claim. Ten hours. That's important. 433 00:20:21,440 --> 00:20:25,000 Speaker 1: You know free times. It's a day work for work. 434 00:20:25,040 --> 00:20:26,560 Speaker 1: If we work five days a week. You just gave 435 00:20:26,640 --> 00:20:30,040 Speaker 1: somebody an hour eight hours back. What's back? Now? When 436 00:20:30,080 --> 00:20:31,720 Speaker 1: you say that to people, what do they say back 437 00:20:31,760 --> 00:20:32,080 Speaker 1: to you? 438 00:20:32,440 --> 00:20:33,960 Speaker 3: They said, well, how can you help me? And I said, 439 00:20:34,040 --> 00:20:36,359 Speaker 3: let's talk about what's going on in your business? And 440 00:20:36,400 --> 00:20:38,800 Speaker 3: where can we save time? Because everybody is different, so 441 00:20:38,880 --> 00:20:40,960 Speaker 3: I don't use a cookie cutter example for each pert. 442 00:20:41,000 --> 00:20:44,760 Speaker 3: Thank you never cookie cutter. Everybody's different and what they need, 443 00:20:44,800 --> 00:20:47,760 Speaker 3: and they also value different things at different levels, and 444 00:20:47,800 --> 00:20:50,200 Speaker 3: I tailor it to them specifically, and then I make 445 00:20:50,200 --> 00:20:53,160 Speaker 3: sure we work together because when I walk away, they're 446 00:20:53,200 --> 00:20:55,480 Speaker 3: able to do it themselves and they don't have to 447 00:20:55,480 --> 00:20:57,399 Speaker 3: always come back to me in that specific area. And 448 00:20:57,400 --> 00:21:00,320 Speaker 3: if they need something new, I'm available. I want to 449 00:21:00,320 --> 00:21:02,640 Speaker 3: make sure that they're able to feel comfortable so they 450 00:21:02,680 --> 00:21:05,600 Speaker 3: can use the technology and tools themselves as well. And 451 00:21:05,640 --> 00:21:08,280 Speaker 3: some people don't want to be hands on, and I 452 00:21:08,320 --> 00:21:10,840 Speaker 3: will do it for them, and in those instances, I'm 453 00:21:10,920 --> 00:21:13,520 Speaker 3: usually creating agents for them that doesn't work for them 454 00:21:13,560 --> 00:21:14,080 Speaker 3: on their own. 455 00:21:14,280 --> 00:21:16,720 Speaker 1: If I went to ask you not so much saying, 456 00:21:17,240 --> 00:21:20,680 Speaker 1: because you said it's based on your need breakdown that 457 00:21:20,720 --> 00:21:21,280 Speaker 1: they're about the. 458 00:21:21,200 --> 00:21:24,280 Speaker 3: Top three, Okay, So I would say one thing about Copilot. 459 00:21:24,480 --> 00:21:27,760 Speaker 3: Copilot's working within your ecosystem. That's what makes it very different. 460 00:21:28,080 --> 00:21:30,280 Speaker 3: So it's looking at everything you have connected from your 461 00:21:30,320 --> 00:21:34,400 Speaker 3: email to your Excel, your share point, So when you're 462 00:21:34,440 --> 00:21:36,840 Speaker 3: looking at it, it's not trained on everything else external, 463 00:21:36,880 --> 00:21:40,560 Speaker 3: where the other large language models are. If I'm doing graphics, 464 00:21:40,640 --> 00:21:43,719 Speaker 3: I'm using Gemini and those type of things because I 465 00:21:43,800 --> 00:21:46,280 Speaker 3: like all the features they have from video and graphics. 466 00:21:46,320 --> 00:21:46,920 Speaker 2: In Gemini. 467 00:21:47,240 --> 00:21:50,960 Speaker 3: If I'm doing research, I'm using the tool Perplexity. But 468 00:21:51,200 --> 00:21:55,040 Speaker 3: also when it comes to writing, I would use claud 469 00:21:55,320 --> 00:21:58,200 Speaker 3: which is by the company Anthropic, but I do something 470 00:21:58,240 --> 00:21:59,199 Speaker 3: called vibe coding. 471 00:21:59,280 --> 00:22:00,480 Speaker 2: I use two tools. 472 00:22:00,520 --> 00:22:03,840 Speaker 3: I use chat GPT to get started, I go into Claude, 473 00:22:03,840 --> 00:22:05,880 Speaker 3: and then I use them back and forth to get 474 00:22:05,880 --> 00:22:07,960 Speaker 3: the results to get the right answer that I need, 475 00:22:08,359 --> 00:22:10,040 Speaker 3: So I don't rely on just one. 476 00:22:10,640 --> 00:22:14,320 Speaker 1: So how did everybody pass up chat GPT? 477 00:22:14,760 --> 00:22:16,560 Speaker 2: Chat GPT it started all this? 478 00:22:16,720 --> 00:22:16,880 Speaker 1: Right? 479 00:22:17,000 --> 00:22:17,960 Speaker 2: It started everything? 480 00:22:18,440 --> 00:22:22,960 Speaker 1: Okay? But they still they still an effective AI, absolutely, 481 00:22:24,200 --> 00:22:27,320 Speaker 1: But why are so many others so much better? 482 00:22:27,720 --> 00:22:30,080 Speaker 2: Or are there am I better in different areas? 483 00:22:30,160 --> 00:22:33,760 Speaker 1: Okay? Cool? Okay, So what is the strength of chat GPT? 484 00:22:34,280 --> 00:22:35,720 Speaker 1: So in your eyes and your. 485 00:22:35,600 --> 00:22:38,320 Speaker 3: Eyes and my eyes, Well, it has a lot of 486 00:22:38,400 --> 00:22:40,680 Speaker 3: value because it presents the data in a different way, 487 00:22:41,480 --> 00:22:45,120 Speaker 3: and so chat GPT is good for brainstorming and getting 488 00:22:45,119 --> 00:22:46,000 Speaker 3: your ideas together. 489 00:22:46,359 --> 00:22:48,119 Speaker 2: And then also you can. 490 00:22:48,000 --> 00:22:50,400 Speaker 3: Go over to Claude, which can actually make what they've 491 00:22:50,440 --> 00:22:54,119 Speaker 3: created more robust for what I have to throw in 492 00:22:54,160 --> 00:22:56,520 Speaker 3: the mix here, there's something new on the market that's 493 00:22:56,560 --> 00:23:01,720 Speaker 3: even better, and that's called Manness dot Ai. Manus Manness 494 00:23:02,280 --> 00:23:04,919 Speaker 3: and that's my goal to now, and it's do ai 495 00:23:05,240 --> 00:23:12,160 Speaker 3: does everything from video to creating PowerPoint presentations to creating 496 00:23:13,720 --> 00:23:17,440 Speaker 3: a business plan, whatever you want. Man's dot Ai. That's 497 00:23:17,480 --> 00:23:18,640 Speaker 3: the game changer right now. 498 00:23:19,320 --> 00:23:22,080 Speaker 1: Now, all these come with fees. 499 00:23:22,680 --> 00:23:23,840 Speaker 2: Manus comes with fees. 500 00:23:24,160 --> 00:23:24,440 Speaker 1: Okay. 501 00:23:24,520 --> 00:23:25,800 Speaker 2: So Manus is a paid tool. 502 00:23:26,119 --> 00:23:29,080 Speaker 3: Okay, So I would say if you are not going 503 00:23:29,119 --> 00:23:31,720 Speaker 3: to use it to its full potential, I probably would 504 00:23:31,760 --> 00:23:33,600 Speaker 3: not make that investment because it does cost money. 505 00:23:34,160 --> 00:23:35,040 Speaker 2: But if you still want to. 506 00:23:35,000 --> 00:23:39,000 Speaker 3: Stay with something free, Chat, GPT is great, perplexity is great. 507 00:23:39,680 --> 00:23:42,160 Speaker 3: Make money, well, they make money off of all their 508 00:23:42,400 --> 00:23:45,879 Speaker 3: engagements they have with enterprises. Okay, So major companies are 509 00:23:45,920 --> 00:23:49,080 Speaker 3: bringing these tools internally, is just specifically for their company, 510 00:23:49,240 --> 00:23:51,480 Speaker 3: so that way their data is not out in the 511 00:23:51,560 --> 00:23:53,879 Speaker 3: public for everyone else. So they'll have their own version 512 00:23:53,920 --> 00:23:56,480 Speaker 3: of Chat, their own version of Claud that they use 513 00:23:56,480 --> 00:23:58,959 Speaker 3: internally with the company, and that's how they're making money. 514 00:23:59,040 --> 00:24:01,280 Speaker 2: And then the people pay the subscriptions. That's the other 515 00:24:01,320 --> 00:24:02,159 Speaker 2: way they make money. 516 00:24:02,200 --> 00:24:04,480 Speaker 1: Okay. So now Gemini is that. 517 00:24:04,480 --> 00:24:07,919 Speaker 3: A paidmi Gemini is free, but you can pay for 518 00:24:07,960 --> 00:24:10,200 Speaker 3: a pro version for more features. 519 00:24:10,000 --> 00:24:13,159 Speaker 1: Right, okay? Cool. So it's an entry level, it is 520 00:24:13,160 --> 00:24:14,040 Speaker 1: an upgrade level. 521 00:24:14,080 --> 00:24:15,280 Speaker 2: All of them have entry levels. 522 00:24:15,960 --> 00:24:18,320 Speaker 3: Get you in, yeah, get you in, and then they 523 00:24:18,359 --> 00:24:20,080 Speaker 3: get they say, oh you're out of credits or you 524 00:24:20,080 --> 00:24:21,760 Speaker 3: need to pay more money. And then you're writing a 525 00:24:21,800 --> 00:24:23,080 Speaker 3: bit of a project and you may not want to 526 00:24:23,119 --> 00:24:24,240 Speaker 3: wait a couple of hours to get. 527 00:24:24,200 --> 00:24:26,000 Speaker 2: Started on that. You want to go ahead and pay 528 00:24:26,000 --> 00:24:26,920 Speaker 2: the money to keep going. 529 00:24:27,240 --> 00:24:30,800 Speaker 1: When this, you know, we don't know the end of 530 00:24:30,840 --> 00:24:33,000 Speaker 1: this game. I was in San Francis, so I finally 531 00:24:33,040 --> 00:24:38,160 Speaker 1: got a driverless car way more, you know, and it 532 00:24:38,200 --> 00:24:41,320 Speaker 1: was an experience. But that's where we're going. And as 533 00:24:41,359 --> 00:24:44,200 Speaker 1: people listen to you, Tanya one more time about your. 534 00:24:44,160 --> 00:24:47,880 Speaker 2: Website, smart growth Ai dot Ai and. 535 00:24:48,600 --> 00:24:52,040 Speaker 1: You travelers Country now preaching the gospel about Ai and 536 00:24:52,040 --> 00:24:54,000 Speaker 1: you know, intimidates a lot of people. 537 00:24:54,160 --> 00:24:54,560 Speaker 2: It does. 538 00:24:55,119 --> 00:24:58,920 Speaker 1: What would you say to somebody in today's climbing if 539 00:25:00,080 --> 00:25:03,000 Speaker 1: you're living in it, but guess what ten years ago 540 00:25:03,160 --> 00:25:05,679 Speaker 1: you lived a little bit different because you know more, Okay, 541 00:25:06,119 --> 00:25:08,280 Speaker 1: you want to open the day spot lost all that 542 00:25:08,400 --> 00:25:11,280 Speaker 1: money because you weren't talking to nobody did understand the 543 00:25:11,359 --> 00:25:16,040 Speaker 1: value of entrepreneurship. When it comes to mentoring, what advice 544 00:25:16,080 --> 00:25:18,679 Speaker 1: would you give the day about AI? 545 00:25:18,960 --> 00:25:21,080 Speaker 3: The very first thing I would do is make sure 546 00:25:21,200 --> 00:25:24,760 Speaker 3: that they want getting a course, whether they do it 547 00:25:24,800 --> 00:25:27,760 Speaker 3: on their own or they're underneath somebody's tutelage. I would say, 548 00:25:27,760 --> 00:25:29,920 Speaker 3: getting a course to start learning, and then actually, don't 549 00:25:29,960 --> 00:25:32,160 Speaker 3: just listen to people talk to you about it. Actually 550 00:25:32,240 --> 00:25:34,719 Speaker 3: open up your laptop and stop playing with it and 551 00:25:34,760 --> 00:25:35,840 Speaker 3: experimenting with it. 552 00:25:36,080 --> 00:25:37,160 Speaker 2: I think that's important. 553 00:25:37,440 --> 00:25:40,200 Speaker 3: Secondly, whatever they do, make sure they put their security 554 00:25:40,200 --> 00:25:43,520 Speaker 3: controls on and don't put out any personal data into 555 00:25:43,600 --> 00:25:44,760 Speaker 3: whatever they're doing from the AI. 556 00:25:45,000 --> 00:25:46,240 Speaker 2: That's really important. 557 00:25:47,200 --> 00:25:49,800 Speaker 3: And once they start playing with it and seeing how 558 00:25:49,840 --> 00:25:51,600 Speaker 3: it makes their lives easier, the things they can do 559 00:25:51,680 --> 00:25:53,800 Speaker 3: with it, then that way they can start saying how 560 00:25:53,840 --> 00:25:56,000 Speaker 3: they can leverage it at work, because typically at work 561 00:25:56,000 --> 00:25:58,879 Speaker 3: they have some form of AI they can use, and 562 00:25:58,920 --> 00:26:00,679 Speaker 3: then they will be more incline to use it at 563 00:26:00,720 --> 00:26:03,480 Speaker 3: work and become the go to person at their job 564 00:26:03,520 --> 00:26:05,639 Speaker 3: because a lot of people don't know what's happening, and 565 00:26:05,680 --> 00:26:08,280 Speaker 3: that makes them more valuable when they're at their job 566 00:26:08,320 --> 00:26:11,159 Speaker 3: being able to help educate everyone else. That's the advice 567 00:26:11,200 --> 00:26:11,760 Speaker 3: I would give that. 568 00:26:12,000 --> 00:26:14,800 Speaker 1: Message, telling you let's talk about I want to get 569 00:26:14,840 --> 00:26:17,120 Speaker 1: this clar too, because yes, like you use the word 570 00:26:17,200 --> 00:26:22,680 Speaker 1: personal information, okay, now how can you control that? Now 571 00:26:22,840 --> 00:26:26,480 Speaker 1: to understanding, if you set up an account, your personal 572 00:26:26,520 --> 00:26:29,840 Speaker 1: information is locked into that account. If you don't set 573 00:26:29,920 --> 00:26:33,600 Speaker 1: up their account, it's open to everybody you asked you 574 00:26:33,640 --> 00:26:37,120 Speaker 1: put it in a chat, GPT, Jemini or co pilot then, 575 00:26:37,200 --> 00:26:41,119 Speaker 1: because the way the algorithm works, it just grabs information 576 00:26:41,640 --> 00:26:46,720 Speaker 1: that's available in the space, then it gets information. But 577 00:26:46,840 --> 00:26:50,480 Speaker 1: it is true you can open an account and protect 578 00:26:50,520 --> 00:26:52,480 Speaker 1: your privacy. 579 00:26:52,680 --> 00:26:54,919 Speaker 3: You can protect your privacy whether it's free or not, 580 00:26:55,000 --> 00:26:58,000 Speaker 3: because every AI tool has an option saying do you 581 00:26:58,040 --> 00:27:01,400 Speaker 3: want to train the model and just everyone say turn 582 00:27:01,480 --> 00:27:01,760 Speaker 3: that all. 583 00:27:02,359 --> 00:27:04,959 Speaker 2: Oh they turn at all. That helps protect it. 584 00:27:05,359 --> 00:27:08,480 Speaker 3: But when I'm saying personal data, for example, I will 585 00:27:08,560 --> 00:27:13,200 Speaker 3: never put my address in the chat of course, no 586 00:27:13,320 --> 00:27:16,160 Speaker 3: credit cards, no social security numbers, no birth dates, none 587 00:27:16,160 --> 00:27:18,159 Speaker 3: of that kind of thing. And if you're working with 588 00:27:18,200 --> 00:27:21,560 Speaker 3: a client on behalf of them, I wouldn't even use 589 00:27:21,600 --> 00:27:23,439 Speaker 3: their company name and their information in there because it 590 00:27:23,480 --> 00:27:25,239 Speaker 3: can tie back to them. So I may make up 591 00:27:25,240 --> 00:27:28,320 Speaker 3: a name like company X or Company Y and do 592 00:27:28,359 --> 00:27:30,600 Speaker 3: all those things, and don't put those founders' names in 593 00:27:30,640 --> 00:27:33,360 Speaker 3: there either. Make sure I put some other fake name 594 00:27:33,720 --> 00:27:35,479 Speaker 3: so that way they can't trace it back. And then 595 00:27:35,480 --> 00:27:37,280 Speaker 3: when I pull the data back, I can change it 596 00:27:37,359 --> 00:27:40,320 Speaker 3: easily when I'm ready to produce the deliverable to the client. 597 00:27:40,520 --> 00:27:42,480 Speaker 1: Cool. Tell you thank you for coming on my show, 598 00:27:42,760 --> 00:27:44,080 Speaker 1: Making a Conversation Masic Class. 599 00:27:44,080 --> 00:27:45,600 Speaker 2: I had a great time. Thank you so much. 600 00:27:45,640 --> 00:27:48,639 Speaker 1: Thank you, Thank you for listening to this episode. 601 00:27:48,800 --> 00:27:50,439 Speaker 4: Now, I need for you to do me a favor 602 00:27:51,160 --> 00:27:54,560 Speaker 4: right now to follow or subscribe to Money Making Conversation. 603 00:27:54,880 --> 00:27:59,119 Speaker 4: It's free and you can find it on the iHeartRadio app, Spotify, 604 00:27:59,440 --> 00:28:03,200 Speaker 4: apple Pot Podcasts, or wherever you get your podcasts. Please 605 00:28:03,240 --> 00:28:07,639 Speaker 4: do me that favor, follow or subscribe Money Making Conversations. 606 00:28:08,000 --> 00:28:08,560 Speaker 1: Keep winning