1 00:00:01,360 --> 00:00:03,640 Speaker 1: This episode is brought to you by P and C Bank. 2 00:00:04,000 --> 00:00:06,760 Speaker 1: A lot of people think podcasts about work are boring, 3 00:00:07,000 --> 00:00:10,840 Speaker 1: and sure they definitely can be, but understanding a professionals 4 00:00:10,920 --> 00:00:14,160 Speaker 1: routine shows us how they achieve their success little by little, 5 00:00:14,560 --> 00:00:18,200 Speaker 1: day after day. It's like banking with P and C Bank. 6 00:00:18,680 --> 00:00:21,480 Speaker 1: It might seem boring to safe plan and make calculated 7 00:00:21,480 --> 00:00:24,599 Speaker 1: decisions with your bank, but keeping your money boring is 8 00:00:24,640 --> 00:00:27,960 Speaker 1: what helps you live or more happily fulfilled life. P 9 00:00:28,080 --> 00:00:32,879 Speaker 1: and C Bank Brilliantly Boring since eighteen sixty five. 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Don't wait, don't hesitate. 30 00:01:45,760 --> 00:01:48,160 Speaker 1: Let's Square handle the back end so you can keep 31 00:01:48,160 --> 00:01:49,400 Speaker 1: pushing your vision forward. 32 00:01:51,720 --> 00:01:55,240 Speaker 2: This is my game on how I personally interact with 33 00:01:55,280 --> 00:01:58,120 Speaker 2: like a chat GBT or like a Gemini or like 34 00:01:58,160 --> 00:02:00,880 Speaker 2: a claud Now I'm coming from this angle of like 35 00:02:01,040 --> 00:02:04,840 Speaker 2: somebody who knows how these systems work on a technical level. 36 00:02:04,920 --> 00:02:07,720 Speaker 2: So I created a framework for how to write your 37 00:02:07,800 --> 00:02:10,360 Speaker 2: prompts to be able to get the most out of 38 00:02:10,400 --> 00:02:13,360 Speaker 2: the AI interaction, but in a way where it's not 39 00:02:13,480 --> 00:02:16,000 Speaker 2: just spitting out an answer at to but where it's 40 00:02:16,080 --> 00:02:19,280 Speaker 2: taking your genius and your thoughts and helping you structure 41 00:02:19,320 --> 00:02:22,839 Speaker 2: them and also teaching you along the way, So think 42 00:02:22,840 --> 00:02:25,440 Speaker 2: about it like this, if I could talk to let's 43 00:02:25,480 --> 00:02:28,520 Speaker 2: say I have a business plan idea, right, the way Chat, 44 00:02:28,560 --> 00:02:31,200 Speaker 2: GPT is by default, or any of these large language 45 00:02:31,200 --> 00:02:33,920 Speaker 2: models is by default is they've got all these data. 46 00:02:33,680 --> 00:02:35,160 Speaker 3: From all over the Internet. 47 00:02:35,280 --> 00:02:37,480 Speaker 2: And so when you ask it, hey, I want to 48 00:02:37,520 --> 00:02:43,320 Speaker 2: create like an app for babysitters that connects parents with 49 00:02:43,480 --> 00:02:46,359 Speaker 2: like background checked babysitters on demand. 50 00:02:46,600 --> 00:02:48,800 Speaker 3: Right, come write my business plan. 51 00:02:49,200 --> 00:02:52,280 Speaker 2: It's gonna grab from the randomness of all of that 52 00:02:52,840 --> 00:02:55,560 Speaker 2: to give you an answer. Now, why would I want 53 00:02:55,600 --> 00:02:57,880 Speaker 2: to talk to some random person who I don't know 54 00:02:58,080 --> 00:03:01,280 Speaker 2: the experience and a background that they have, Versus I 55 00:03:01,320 --> 00:03:04,800 Speaker 2: could turn it into like a business professor at Harvard 56 00:03:04,840 --> 00:03:09,880 Speaker 2: that has like extensive experience creating these types of services, 57 00:03:09,919 --> 00:03:12,840 Speaker 2: like maybe you were the dude who scaled like DoorDash 58 00:03:12,919 --> 00:03:16,680 Speaker 2: to its first billion dollars, right, and then engage with 59 00:03:16,720 --> 00:03:18,560 Speaker 2: it in a way where it starts to ask me 60 00:03:18,720 --> 00:03:21,560 Speaker 2: questions about my idea and then starts to give me 61 00:03:21,600 --> 00:03:25,120 Speaker 2: an answer based on my idea, not just based on 62 00:03:25,200 --> 00:03:28,200 Speaker 2: whatever it grabbed out of all those terabytes and terabytes 63 00:03:28,200 --> 00:03:31,440 Speaker 2: of data, you feel me, And so that framework I 64 00:03:31,520 --> 00:03:34,239 Speaker 2: call chat in the hat, right, and I know it's 65 00:03:34,320 --> 00:03:37,080 Speaker 2: a little funny framework, but it's really to help you 66 00:03:37,920 --> 00:03:40,000 Speaker 2: learn how to think like an AI, so you can 67 00:03:40,040 --> 00:03:43,240 Speaker 2: talk to the AI in a way to amplifize your genius. 68 00:03:43,800 --> 00:03:46,480 Speaker 2: So what does chat and the hat stand for. It's 69 00:03:46,520 --> 00:03:48,320 Speaker 2: a three part framework when you're riding your. 70 00:03:48,560 --> 00:03:52,360 Speaker 4: And this is extremely important ladies and gentlemen. If you 71 00:03:52,360 --> 00:03:55,320 Speaker 4: didn't pay attention to anything else, which shame on you 72 00:03:55,360 --> 00:03:58,120 Speaker 4: if you did that, pay attention to this part because 73 00:03:58,160 --> 00:04:02,840 Speaker 4: this is extremely point. How to actually talk to AI 74 00:04:03,040 --> 00:04:06,920 Speaker 4: to get the proper response. That's that's vitally important because 75 00:04:06,920 --> 00:04:09,320 Speaker 4: you could speak to somebody and it's like a human being, 76 00:04:09,400 --> 00:04:11,240 Speaker 4: right like I could speak to somebody. You have to 77 00:04:11,280 --> 00:04:14,240 Speaker 4: be educated enough to ask the question. So how I'm 78 00:04:14,320 --> 00:04:16,240 Speaker 4: asking the question is going to determine the answer that 79 00:04:16,240 --> 00:04:20,240 Speaker 4: I'm getting. That's not talked about enough. So what she's 80 00:04:20,279 --> 00:04:24,680 Speaker 4: about to talk about is actually vitally important. 81 00:04:24,160 --> 00:04:27,000 Speaker 2: Especially because when you're talking to a large language model 82 00:04:27,040 --> 00:04:31,040 Speaker 2: like I mentioned before, it doesn't actually understand what you're saying, 83 00:04:31,120 --> 00:04:32,000 Speaker 2: so it's not going to. 84 00:04:32,040 --> 00:04:33,360 Speaker 3: Get the gist of it right. 85 00:04:33,560 --> 00:04:36,160 Speaker 2: You have to give it the specific instructions that you 86 00:04:36,279 --> 00:04:40,000 Speaker 2: wanted to execute. And the more specific and the more 87 00:04:40,080 --> 00:04:43,800 Speaker 2: clear you give it, the more it'll answer in the 88 00:04:43,839 --> 00:04:46,680 Speaker 2: way that you need it to. But again, it's just 89 00:04:46,760 --> 00:04:50,400 Speaker 2: taking whatever prompt you give it and calculating based on that. 90 00:04:50,480 --> 00:04:52,480 Speaker 2: So if you say, write me a business plan about 91 00:04:52,480 --> 00:04:57,159 Speaker 2: an app for you know, connecting background check babysitters with parents, 92 00:04:57,480 --> 00:04:59,720 Speaker 2: it's going to write something. But if I give it 93 00:04:59,720 --> 00:05:02,720 Speaker 2: first the history right, and then I give it an 94 00:05:02,800 --> 00:05:05,760 Speaker 2: attitude how I want it to complete that task, and 95 00:05:05,800 --> 00:05:08,080 Speaker 2: then I give it a specific instructions on how to 96 00:05:08,120 --> 00:05:11,520 Speaker 2: complete that task, the conversation is going to be completely different. 97 00:05:11,720 --> 00:05:14,520 Speaker 2: So I'm gonna do real quikest breakdown each component of this, 98 00:05:14,839 --> 00:05:17,479 Speaker 2: and in real time live on the chat we're gonna 99 00:05:17,480 --> 00:05:19,680 Speaker 2: make up an idea together, and I'm gonna show you, 100 00:05:19,680 --> 00:05:23,560 Speaker 2: guys the difference between using just a regular prompt versus 101 00:05:23,560 --> 00:05:24,679 Speaker 2: the chat and the hat framework. 102 00:05:24,720 --> 00:05:28,280 Speaker 3: You feel me. So, first, what is history? History is? 103 00:05:28,400 --> 00:05:31,479 Speaker 2: You want to tell it the relevant skills and experience 104 00:05:31,560 --> 00:05:34,000 Speaker 2: that it needs to have to be able to help 105 00:05:34,040 --> 00:05:35,440 Speaker 2: you accomplish that task. 106 00:05:35,680 --> 00:05:37,440 Speaker 3: So if I have an. 107 00:05:37,080 --> 00:05:39,960 Speaker 2: Idea for a app me just talking to chat GPT, 108 00:05:40,200 --> 00:05:42,479 Speaker 2: I don't know who it could be pulling from versus 109 00:05:42,480 --> 00:05:45,440 Speaker 2: giving it like Yo, you're an award winning person in 110 00:05:45,480 --> 00:05:48,799 Speaker 2: this field who has this specific experience in twenty years 111 00:05:48,800 --> 00:05:51,599 Speaker 2: of that experience, Right, you want to give it some 112 00:05:51,760 --> 00:05:55,159 Speaker 2: type of history that it can refer to to pull 113 00:05:55,240 --> 00:05:57,919 Speaker 2: in that knowledge from all of those terabytes of data 114 00:05:58,279 --> 00:06:00,720 Speaker 2: to specifically be using the knowledge. 115 00:06:00,400 --> 00:06:02,039 Speaker 3: That you need to complete your task. 116 00:06:02,080 --> 00:06:05,800 Speaker 2: So, if it's a like a social media thing, right, 117 00:06:06,160 --> 00:06:09,160 Speaker 2: you don't just want to go ask CHADGBT about how 118 00:06:09,160 --> 00:06:10,680 Speaker 2: to make a viral social campaign. 119 00:06:11,000 --> 00:06:11,799 Speaker 3: You want Chad. 120 00:06:11,640 --> 00:06:16,120 Speaker 2: GBT to like be an expert at generating viral campaigns, 121 00:06:16,160 --> 00:06:19,800 Speaker 2: like you made a company similar to mine, have fifty 122 00:06:19,839 --> 00:06:22,839 Speaker 2: million views on TikTok with your funny short videos. 123 00:06:22,920 --> 00:06:23,120 Speaker 3: Right. 124 00:06:23,480 --> 00:06:26,240 Speaker 2: Then it kind of puts itself in that framing and 125 00:06:26,320 --> 00:06:28,720 Speaker 2: starts to think from that lens. Then you want to 126 00:06:28,720 --> 00:06:30,479 Speaker 2: give it an attitude, which is like what is the 127 00:06:30,520 --> 00:06:33,239 Speaker 2: mentality or the vibe that it has while doing the task? 128 00:06:33,360 --> 00:06:36,839 Speaker 3: Is it helpful? Is it you know, playing Devil's advocate? 129 00:06:37,080 --> 00:06:38,000 Speaker 3: Is it you know? 130 00:06:38,080 --> 00:06:40,320 Speaker 2: Does it like to ask you questions and teach you 131 00:06:40,360 --> 00:06:43,120 Speaker 2: how to do it instead of just giving you an answer? Right, 132 00:06:43,160 --> 00:06:45,039 Speaker 2: So you want to give it like the attitude like 133 00:06:45,400 --> 00:06:48,960 Speaker 2: how and what the vibe is that it uses when 134 00:06:48,960 --> 00:06:51,240 Speaker 2: it's thinking about how to do your task. Then you 135 00:06:51,240 --> 00:06:53,039 Speaker 2: want to give it the actual task, which is you 136 00:06:53,080 --> 00:06:55,400 Speaker 2: need to specifically tell it what it should do and 137 00:06:55,440 --> 00:06:57,280 Speaker 2: how it should do it. So it's deep dive into 138 00:06:57,279 --> 00:06:59,599 Speaker 2: each one of these a little bit more so first 139 00:06:59,600 --> 00:07:01,520 Speaker 2: with the hit again, you want to give it that 140 00:07:01,600 --> 00:07:05,559 Speaker 2: relevant knowledge, experience, and accomplishments that a person would need 141 00:07:05,800 --> 00:07:07,560 Speaker 2: to actually be useful to you in. 142 00:07:07,560 --> 00:07:08,599 Speaker 3: Completing that task. 143 00:07:08,839 --> 00:07:11,960 Speaker 2: So you say something like you are a you know, 144 00:07:12,080 --> 00:07:16,080 Speaker 2: award winning business plan developer, right, Like you're a professor 145 00:07:16,080 --> 00:07:20,960 Speaker 2: at Harvard, Wharton and Stanford in creating startup business plans. 146 00:07:21,040 --> 00:07:24,800 Speaker 2: Now CHAGBT does know what these kinds of institutions are, 147 00:07:25,440 --> 00:07:27,440 Speaker 2: and it's not gonna know that, Like you can't be 148 00:07:27,520 --> 00:07:30,960 Speaker 2: the chair of business at Harvard, Stanford and at like 149 00:07:31,040 --> 00:07:33,160 Speaker 2: Wharton and you see Berkeley all at once. 150 00:07:33,240 --> 00:07:33,800 Speaker 3: Like it's not. 151 00:07:33,680 --> 00:07:36,280 Speaker 2: Gonna know that, but it is going to understand what 152 00:07:36,360 --> 00:07:39,120 Speaker 2: it means to be like the chair of business at 153 00:07:39,160 --> 00:07:41,800 Speaker 2: Stanford or the chair of the business school at Harvard, right, 154 00:07:41,880 --> 00:07:45,040 Speaker 2: because it has enough data to understand what those specific 155 00:07:45,080 --> 00:07:47,080 Speaker 2: things are. And then you might want to give us 156 00:07:47,080 --> 00:07:50,080 Speaker 2: some experience like you have you know, you have forty 157 00:07:50,200 --> 00:07:54,480 Speaker 2: years of experience helping startups create business plans. Well, you 158 00:07:54,480 --> 00:07:57,400 Speaker 2: know you have, you know you were the person who 159 00:07:57,480 --> 00:08:00,640 Speaker 2: created the original business plan for DoorDash. Because if I'm 160 00:08:00,640 --> 00:08:03,920 Speaker 2: thinking about sitter as an app, right like this, you know, 161 00:08:04,080 --> 00:08:05,679 Speaker 2: babysitting connecting app. 162 00:08:06,240 --> 00:08:07,520 Speaker 3: What's a similar type. 163 00:08:07,280 --> 00:08:09,720 Speaker 2: Of service like a door dash or a task rabbit, right, 164 00:08:09,800 --> 00:08:13,200 Speaker 2: Like you wrote the financial models for task Rabbit that 165 00:08:13,280 --> 00:08:16,320 Speaker 2: help them be successful, right, and like you're an expert 166 00:08:16,320 --> 00:08:20,080 Speaker 2: in creating business plans that like help start up scale 167 00:08:20,360 --> 00:08:21,600 Speaker 2: and get investment money. 168 00:08:21,600 --> 00:08:22,640 Speaker 3: Because that's my goal. 169 00:08:22,920 --> 00:08:26,000 Speaker 2: So even just there me giving it those specifics about 170 00:08:26,040 --> 00:08:29,440 Speaker 2: its history will completely change the way that I'm going 171 00:08:29,520 --> 00:08:31,680 Speaker 2: to engage with this chat boy and the types of 172 00:08:31,720 --> 00:08:34,319 Speaker 2: answers it's gonna give me, and the type of knowledge 173 00:08:34,440 --> 00:08:35,000 Speaker 2: is gonna. 174 00:08:34,760 --> 00:08:35,840 Speaker 3: Pull out to answer that. 175 00:08:37,000 --> 00:08:37,200 Speaker 2: Right. 176 00:08:37,559 --> 00:08:39,120 Speaker 3: So you could also say, like you're. 177 00:08:38,960 --> 00:08:41,880 Speaker 2: An award winning or world renowned expert in this. You 178 00:08:42,000 --> 00:08:46,240 Speaker 2: have number of years experience developing business plans at these 179 00:08:46,280 --> 00:08:49,360 Speaker 2: companies you have built or you built this company, or 180 00:08:49,400 --> 00:08:52,880 Speaker 2: you scaled this thing, or you you know, created this 181 00:08:53,000 --> 00:08:55,080 Speaker 2: product or this service. So if I flip it and 182 00:08:55,120 --> 00:08:58,040 Speaker 2: I move to social media, like you are the leading 183 00:08:58,120 --> 00:09:02,000 Speaker 2: expert and creating viral TikTok vid. You have twenty years 184 00:09:02,000 --> 00:09:07,200 Speaker 2: of experience creating and leading viral campaigns on short form 185 00:09:07,320 --> 00:09:11,280 Speaker 2: video campaigns on TikTok at like door dash, at uber 186 00:09:11,360 --> 00:09:16,120 Speaker 2: and at lyft. Right, you literally grew ubers TikTok following 187 00:09:16,160 --> 00:09:19,120 Speaker 2: from one thousand followers to over ten million, and you've 188 00:09:19,120 --> 00:09:21,960 Speaker 2: won several little awards along the way. Right, So you 189 00:09:22,040 --> 00:09:24,440 Speaker 2: just start to think about the persona if you could 190 00:09:24,440 --> 00:09:27,160 Speaker 2: create the perfect person that you would talk to about this, 191 00:09:27,600 --> 00:09:29,440 Speaker 2: even if some of the details are a little bit 192 00:09:29,480 --> 00:09:32,240 Speaker 2: of BS, that's fine, but you wanted to create that 193 00:09:32,480 --> 00:09:34,920 Speaker 2: perfect person that you want to talk to in person 194 00:09:35,160 --> 00:09:36,840 Speaker 2: who's going to help you with that task. 195 00:09:37,400 --> 00:09:38,320 Speaker 3: So that's the history. 196 00:09:38,400 --> 00:09:40,840 Speaker 2: And then the attitude again is that energy, is that 197 00:09:40,920 --> 00:09:43,280 Speaker 2: mentality and that vibe that you want the AI to 198 00:09:43,320 --> 00:09:46,080 Speaker 2: take with you while it's responding to you. And that 199 00:09:46,160 --> 00:09:49,560 Speaker 2: has two components. The first is the style. Is it helpful? 200 00:09:49,679 --> 00:09:53,199 Speaker 2: Is it curious? Is it critical? Is it more like evaluative? 201 00:09:53,280 --> 00:09:56,520 Speaker 2: Is it pensive? Is it playing Devil's advocate? Is it challenging? 202 00:09:56,880 --> 00:10:00,280 Speaker 2: Is it excited? Is it you know, like if you 203 00:10:00,320 --> 00:10:02,840 Speaker 2: wanted to turn it into like a venture capitalist to like, 204 00:10:03,280 --> 00:10:03,640 Speaker 2: you know. 205 00:10:03,559 --> 00:10:04,760 Speaker 3: Review your idea. 206 00:10:04,920 --> 00:10:07,400 Speaker 2: Is it like a skeptic, right, you want to give 207 00:10:07,440 --> 00:10:09,880 Speaker 2: it like a style of how it's supposed to be 208 00:10:09,960 --> 00:10:12,600 Speaker 2: thinking about the answer it gives you back, and then 209 00:10:12,640 --> 00:10:14,600 Speaker 2: you give it a tone, so like, is it going 210 00:10:14,679 --> 00:10:16,439 Speaker 2: to respond in professional language? 211 00:10:16,480 --> 00:10:18,160 Speaker 3: Is it going to be academic? Is it going to 212 00:10:18,200 --> 00:10:22,160 Speaker 3: be formal? Informal casual? Humor? Is friendly? Persuasive? 213 00:10:22,280 --> 00:10:23,800 Speaker 2: Is it going to be urban? Is it going to 214 00:10:23,840 --> 00:10:26,880 Speaker 2: be targeted at gen Z or gen alpha? Right, So 215 00:10:27,240 --> 00:10:30,080 Speaker 2: when you're giving it that attitude, you've already given it 216 00:10:30,080 --> 00:10:33,200 Speaker 2: the history, so now it knows what knowledge it's pulling from. 217 00:10:33,440 --> 00:10:35,559 Speaker 2: Now you're just telling it when you give me answers, 218 00:10:35,640 --> 00:10:38,240 Speaker 2: this is how I want the vibe between us to be. Right. 219 00:10:38,679 --> 00:10:40,480 Speaker 2: So an example of that would be, like, you are 220 00:10:40,559 --> 00:10:44,200 Speaker 2: extremely helpful. You love sharing your knowledge to help people 221 00:10:44,520 --> 00:10:47,600 Speaker 2: create business plans. You have a deep passion for listening 222 00:10:47,600 --> 00:10:50,480 Speaker 2: to people's ideas and guiding them step by step to 223 00:10:50,640 --> 00:10:52,800 Speaker 2: create business plans. And then you could add in some 224 00:10:52,800 --> 00:10:56,320 Speaker 2: more stuff like you prefer to help people learn how 225 00:10:56,360 --> 00:10:59,200 Speaker 2: to help themselves. So instead of giving the right answer, 226 00:10:59,320 --> 00:11:02,640 Speaker 2: you give them questions to help them think and come 227 00:11:02,679 --> 00:11:05,360 Speaker 2: to the right answer for themselves. So the attitude section 228 00:11:05,559 --> 00:11:08,120 Speaker 2: is typically a little bit shorter, but again it's just 229 00:11:08,200 --> 00:11:10,480 Speaker 2: telling it all, right, this is who you are, this 230 00:11:10,520 --> 00:11:12,839 Speaker 2: is how you're gonna step to me. And the last part, 231 00:11:12,920 --> 00:11:15,560 Speaker 2: which is one of the most important, is the actual task. 232 00:11:15,679 --> 00:11:15,880 Speaker 3: Right. 233 00:11:16,760 --> 00:11:19,880 Speaker 2: So the task is the specific details on what you 234 00:11:19,960 --> 00:11:22,240 Speaker 2: want the AI to do and how you want it 235 00:11:22,320 --> 00:11:25,920 Speaker 2: to do it. Now, oftentimes we only focus on the method, right, 236 00:11:26,000 --> 00:11:27,680 Speaker 2: So we'll be like, Yo, I want you to ask 237 00:11:27,720 --> 00:11:29,400 Speaker 2: me a question and then provide an answer. 238 00:11:29,600 --> 00:11:30,960 Speaker 3: I want you to explain yourself. 239 00:11:31,080 --> 00:11:33,240 Speaker 2: I want you to give me positive and negative feedback 240 00:11:33,280 --> 00:11:36,720 Speaker 2: on this idea, but we don't necessarily get specific enough 241 00:11:36,760 --> 00:11:39,240 Speaker 2: to tell it the format that we want that in. Right, 242 00:11:39,600 --> 00:11:42,000 Speaker 2: So if you just tell chat GPT to ask me 243 00:11:42,120 --> 00:11:45,439 Speaker 2: questions about my idea, it's gonna spit out like twenty 244 00:11:45,520 --> 00:11:48,640 Speaker 2: questions for you, right, and then it's gonna expect you 245 00:11:48,679 --> 00:11:50,880 Speaker 2: to answer all of those. So that's very different than 246 00:11:50,920 --> 00:11:54,720 Speaker 2: saying ask me one to two brief questions at a time, 247 00:11:55,240 --> 00:11:58,320 Speaker 2: wait for my response, and keep doing that until you 248 00:11:58,360 --> 00:11:59,800 Speaker 2: get enough information to help me. 249 00:11:59,840 --> 00:12:02,240 Speaker 3: Righte my business plan that's. 250 00:12:02,080 --> 00:12:04,200 Speaker 2: Going to have a whole different interaction than if it 251 00:12:04,240 --> 00:12:06,400 Speaker 2: fits out twenty questions and you don't even know how 252 00:12:06,400 --> 00:12:08,480 Speaker 2: to answer them, and then it'll mess up the flow 253 00:12:08,520 --> 00:12:10,560 Speaker 2: of your chat. So you could tell it like, hey, 254 00:12:10,600 --> 00:12:12,880 Speaker 2: I want this in a list, So, hey, I want 255 00:12:12,920 --> 00:12:16,960 Speaker 2: a list of five viral TikTok ideas to promote what 256 00:12:17,080 --> 00:12:19,239 Speaker 2: I'm doing, and I want them to be the strongest. 257 00:12:19,280 --> 00:12:21,840 Speaker 2: I want them to be funny, right, Or hey, I 258 00:12:21,920 --> 00:12:24,440 Speaker 2: want this in a table, so it'll literally output it 259 00:12:24,480 --> 00:12:27,160 Speaker 2: in what looks like an Excel spreadsheet. So I want 260 00:12:27,160 --> 00:12:29,920 Speaker 2: a table of ideas, and the first column should be 261 00:12:30,200 --> 00:12:32,880 Speaker 2: the number of the ideas, so one through five. The 262 00:12:32,920 --> 00:12:35,760 Speaker 2: second column should be a description of the video, the 263 00:12:35,800 --> 00:12:38,640 Speaker 2: third column should be an explanation of why you think 264 00:12:38,679 --> 00:12:41,800 Speaker 2: that video will work, and a fourth column will be 265 00:12:41,880 --> 00:12:43,840 Speaker 2: what you think the cons are of that, and the 266 00:12:43,880 --> 00:12:46,080 Speaker 2: fifth column will be what you think the pros are 267 00:12:46,120 --> 00:12:49,160 Speaker 2: of that. Now answer my question. That's a lot different 268 00:12:49,160 --> 00:12:51,360 Speaker 2: than just spitting out a list of ideas. Now you're 269 00:12:51,360 --> 00:12:54,240 Speaker 2: getting information in a structured way for you to see 270 00:12:54,600 --> 00:12:56,760 Speaker 2: how it thinks and why it thinks, so you can 271 00:12:56,760 --> 00:12:59,320 Speaker 2: tweak it as you go. So an example of the 272 00:12:59,400 --> 00:13:02,160 Speaker 2: task part be like, right now you're a meeting with me, 273 00:13:02,760 --> 00:13:06,040 Speaker 2: I'm trying to create a startup business a business plan 274 00:13:06,080 --> 00:13:10,280 Speaker 2: for my startup that will connect like that will connect 275 00:13:10,440 --> 00:13:14,640 Speaker 2: parents to background check babysitters. First, I'm gonna provide you 276 00:13:14,720 --> 00:13:18,160 Speaker 2: with ideas that I already have about the business plan. 277 00:13:18,720 --> 00:13:21,640 Speaker 2: Then you're gonna ask me one to two brief questions 278 00:13:21,679 --> 00:13:25,400 Speaker 2: at a time about my idea about this app. Uh, 279 00:13:25,520 --> 00:13:27,240 Speaker 2: you know that we want to build until you have 280 00:13:27,400 --> 00:13:30,800 Speaker 2: enough information to help us create a comprehensive business plan 281 00:13:31,160 --> 00:13:34,199 Speaker 2: that will help us get investment from a VC firm. 282 00:13:34,559 --> 00:13:37,680 Speaker 2: Along the way, you're gonna provide positive and negative feedback. 283 00:13:37,800 --> 00:13:40,520 Speaker 3: Right, So that's gonna completely. 284 00:13:40,160 --> 00:13:42,840 Speaker 2: Change versus me saying I want you to write me 285 00:13:42,920 --> 00:13:47,720 Speaker 2: a business plan about an app that connects uh, you know, 286 00:13:47,840 --> 00:13:53,439 Speaker 2: parents to background check babysitters. Having that conversation versus conversation 287 00:13:53,520 --> 00:13:55,960 Speaker 2: that's done in this format, in this chat in the 288 00:13:56,000 --> 00:13:59,680 Speaker 2: hat format is gonna be world's difference. And instead of 289 00:13:59,760 --> 00:14:03,439 Speaker 2: chat GPT feeding you whatever answer it happens to calculate, 290 00:14:03,720 --> 00:14:06,760 Speaker 2: it's now going to be taking in your actual genius, 291 00:14:06,800 --> 00:14:10,480 Speaker 2: your actual ideas, and just helping you expand upon them 292 00:14:10,520 --> 00:14:13,040 Speaker 2: and structure them in a way that lets you do 293 00:14:13,080 --> 00:14:13,960 Speaker 2: stuff faster.