1 00:00:00,120 --> 00:00:02,520 Carol Cox: I'm taking you behind the scenes of how I'm 2 00:00:02,520 --> 00:00:05,720 integrating AI with real world use cases. 3 00:00:05,840 --> 00:00:07,680 On this episode of the Speaking Your Brand 4 00:00:07,680 --> 00:00:15,680 podcast. More and more women are making an 5 00:00:15,680 --> 00:00:17,800 impact by starting businesses, 6 00:00:17,800 --> 00:00:20,440 running for office, and speaking up for what 7 00:00:20,440 --> 00:00:23,440 matters. With my background as a TV political 8 00:00:23,440 --> 00:00:25,040 analyst, entrepreneur, 9 00:00:25,040 --> 00:00:27,720 and speaker. I interview a coach for purpose 10 00:00:27,720 --> 00:00:30,040 driven women to shape their brands, 11 00:00:30,160 --> 00:00:32,520 grow their companies, and become recognized 12 00:00:32,520 --> 00:00:34,840 as influencers in their field. 13 00:00:35,480 --> 00:00:37,400 This is speaking your brand, 14 00:00:37,440 --> 00:00:39,800 your place to learn how to persuasively 15 00:00:39,800 --> 00:00:43,040 communicate your message to your audience. 16 00:00:43,840 --> 00:00:45,520 Hi and welcome to Speaking Your Brand. 17 00:00:45,560 --> 00:00:47,240 I'm your host, Carol Cox. 18 00:00:47,360 --> 00:00:49,240 Today, I'm going to take you behind the 19 00:00:49,240 --> 00:00:52,880 scenes of how I'm using AI to power my 20 00:00:52,880 --> 00:00:55,600 business in new and innovative ways. 21 00:00:55,680 --> 00:00:57,720 Specifically, I'm going to show you AI 22 00:00:57,760 --> 00:01:00,750 automation workflows that I'm using to save 23 00:01:00,790 --> 00:01:04,550 time, create content, and scale impact. 24 00:01:04,590 --> 00:01:06,950 I'm hoping that this tool will inspire you to 25 00:01:06,990 --> 00:01:09,550 do something similar with your business in 26 00:01:09,550 --> 00:01:10,670 your content. 27 00:01:11,350 --> 00:01:13,070 So let me ask you this. 28 00:01:13,110 --> 00:01:15,990 If you could automate something that you do. 29 00:01:16,510 --> 00:01:17,790 What would that be? 30 00:01:17,910 --> 00:01:19,590 So think about all the things that you do in 31 00:01:19,590 --> 00:01:22,310 your business, whether they're admin tasks, 32 00:01:22,350 --> 00:01:25,670 content creation, maybe even the way that you 33 00:01:25,670 --> 00:01:26,950 serve your clients. 34 00:01:27,190 --> 00:01:29,550 Is there something that you could automate 35 00:01:29,550 --> 00:01:31,910 that maybe didn't seem possible before? 36 00:01:31,910 --> 00:01:35,470 But now with AI, specifically with AI agents, 37 00:01:35,710 --> 00:01:37,470 it could become possible. 38 00:01:37,950 --> 00:01:40,110 So keep that in mind as we're going through 39 00:01:40,110 --> 00:01:41,550 today. And by the way, 40 00:01:41,550 --> 00:01:43,430 if you're listening to this on the Speaking 41 00:01:43,430 --> 00:01:46,630 Your Brand podcast, I am also recording this 42 00:01:46,870 --> 00:01:48,510 on video with slides. 43 00:01:48,510 --> 00:01:50,110 So if you would like to watch the video so 44 00:01:50,110 --> 00:01:52,470 you can see the slides in the demos that I'm 45 00:01:52,470 --> 00:01:54,590 going to be showing, you can get that on the 46 00:01:54,590 --> 00:01:57,110 show notes page for this episode as speaking 47 00:01:57,110 --> 00:02:00,210 your brand. 433. 48 00:02:00,330 --> 00:02:02,490 Today we're going to talk about making the 49 00:02:02,490 --> 00:02:04,850 promise of AI a reality. 50 00:02:05,010 --> 00:02:07,890 I'm sure you hear a lot of conversations on 51 00:02:07,890 --> 00:02:11,570 AI online, and a lot of it is theory or what 52 00:02:11,570 --> 00:02:12,970 I would call wish casting. 53 00:02:13,010 --> 00:02:14,930 Like, what is it going to be like when I can 54 00:02:14,930 --> 00:02:16,250 do all of these things? 55 00:02:16,250 --> 00:02:18,370 But I really want to ground us, 56 00:02:18,370 --> 00:02:22,090 and I want to show you real world use cases 57 00:02:22,250 --> 00:02:25,250 of how it's possible to use AI today. 58 00:02:25,370 --> 00:02:27,370 And we're going to look at three areas of 59 00:02:27,370 --> 00:02:30,930 business operations, marketing and revenue. 60 00:02:31,170 --> 00:02:32,650 If you're new to speaking your brand, 61 00:02:32,650 --> 00:02:35,050 welcome. I started speaking your brand ten 62 00:02:35,050 --> 00:02:38,450 years ago in 2015 to work with entrepreneurs 63 00:02:38,450 --> 00:02:40,450 and professionals on their public speaking 64 00:02:40,450 --> 00:02:41,530 and thought leadership. 65 00:02:41,690 --> 00:02:44,410 Before that, I was a software developer and I 66 00:02:44,410 --> 00:02:47,490 found it and ran two technology companies. 67 00:02:47,610 --> 00:02:50,130 We built large systems for fortune 500 68 00:02:50,130 --> 00:02:52,530 companies like Office Depot and Lowe's. 69 00:02:52,530 --> 00:02:55,010 So the tech part of me definitely came back 70 00:02:55,010 --> 00:02:57,850 to the surface when ChatGPT launched a few 71 00:02:57,850 --> 00:03:01,000 years ago and I immediately saw the potential 72 00:03:01,160 --> 00:03:03,640 of AI and how a kid transformed. 73 00:03:03,680 --> 00:03:05,400 Not only what we do on the back end, 74 00:03:05,400 --> 00:03:08,040 but also in the way that we provide value to 75 00:03:08,040 --> 00:03:10,760 our clients in those technology projects that 76 00:03:10,760 --> 00:03:13,120 I did earlier in my career. 77 00:03:13,240 --> 00:03:15,480 We were doing a lot of automation and 78 00:03:15,480 --> 00:03:19,120 workflow efficiency, and I see AI as the next 79 00:03:19,120 --> 00:03:22,200 stage of automation, taking it even further 80 00:03:22,200 --> 00:03:24,680 than what was possible with programmatic 81 00:03:24,720 --> 00:03:28,480 deterministic software and now AI agents, 82 00:03:28,680 --> 00:03:31,400 which, given a goal, can go off and work on 83 00:03:31,400 --> 00:03:33,520 your behalf, whether it's for minutes or even 84 00:03:33,560 --> 00:03:36,680 hours and potentially days or weeks in the 85 00:03:36,680 --> 00:03:38,080 not too distant future. 86 00:03:38,280 --> 00:03:41,480 Now, those represent a true paradigm shift 87 00:03:41,480 --> 00:03:44,200 when we think about what is possible for how 88 00:03:44,200 --> 00:03:45,720 work is going to be done, 89 00:03:46,000 --> 00:03:48,880 because the nature of work is changing for 90 00:03:48,880 --> 00:03:52,080 us. I really see AI as a collaborative 91 00:03:52,080 --> 00:03:54,480 partner, as even a creative partner, 92 00:03:54,640 --> 00:03:58,000 to allow us to do the more human work in 93 00:03:58,190 --> 00:04:01,230 allowing the AI and the robots to do the 94 00:04:01,230 --> 00:04:04,190 computer work. And as the ones who are 95 00:04:04,190 --> 00:04:05,270 guiding the AI. 96 00:04:05,710 --> 00:04:08,070 Our leadership and our management skills are 97 00:04:08,070 --> 00:04:10,230 going to be more important than ever. 98 00:04:10,550 --> 00:04:12,670 And what's so mindblowing about the era that 99 00:04:12,670 --> 00:04:15,270 we're in is that science fiction is quickly 100 00:04:15,270 --> 00:04:16,790 becoming reality. 101 00:04:17,070 --> 00:04:18,710 I think to the movie her, 102 00:04:18,710 --> 00:04:20,950 which came out in 2013, 103 00:04:21,230 --> 00:04:23,150 and in it, the main character played by 104 00:04:23,150 --> 00:04:26,350 Joaquin Phoenix, ends up falling in love with 105 00:04:26,350 --> 00:04:28,870 an AI named Samantha, who was voiced by 106 00:04:28,870 --> 00:04:30,310 Scarlett Johansson. 107 00:04:30,830 --> 00:04:32,870 And when I initially watched this movie, 108 00:04:32,870 --> 00:04:36,310 I thought, there is no way this is ever going 109 00:04:36,310 --> 00:04:38,190 to be possible in my lifetime, 110 00:04:38,190 --> 00:04:39,550 maybe in some distant future, 111 00:04:39,550 --> 00:04:42,350 but certainly not while I'm alive. 112 00:04:42,390 --> 00:04:45,550 But we actually are in this era now. 113 00:04:45,790 --> 00:04:47,470 If you haven't seen the movie or you haven't 114 00:04:47,470 --> 00:04:49,950 seen it in a while, definitely go and watch 115 00:04:49,950 --> 00:04:52,230 it, because it's uncanny how much the human 116 00:04:52,230 --> 00:04:54,870 and the AI have these very natural 117 00:04:54,870 --> 00:04:56,910 conversations with each other, very much like 118 00:04:56,910 --> 00:05:00,570 we're having with ChatGPT and how Samantha, 119 00:05:00,610 --> 00:05:03,610 the AI can go into his computer and read his 120 00:05:03,650 --> 00:05:06,050 emails and summarize them and do work on his 121 00:05:06,050 --> 00:05:08,050 behalf. Well, that is where we're at right 122 00:05:08,050 --> 00:05:10,410 now with AI agents, and they're going to be 123 00:05:10,450 --> 00:05:12,570 even more and more sophisticated. 124 00:05:12,690 --> 00:05:14,610 Now, the challenge that many of us have in 125 00:05:14,610 --> 00:05:17,210 our businesses and as content creators is 126 00:05:17,210 --> 00:05:19,770 that there's always so much to do. 127 00:05:19,810 --> 00:05:22,130 There's always more content that we could 128 00:05:22,130 --> 00:05:24,970 create. And with how competitive the social 129 00:05:24,970 --> 00:05:26,930 media feeds and the algorithms are. 130 00:05:27,450 --> 00:05:29,610 If you feel like we have to create more and 131 00:05:29,610 --> 00:05:32,050 more content just to keep up, 132 00:05:32,050 --> 00:05:33,890 and of course, we also want to provide 133 00:05:33,890 --> 00:05:37,130 valuable content and services to our clients 134 00:05:37,130 --> 00:05:38,530 and to our audience. 135 00:05:39,450 --> 00:05:41,410 So I want you to think about for yourself and 136 00:05:41,410 --> 00:05:43,170 your team. If you have team members, 137 00:05:43,650 --> 00:05:46,170 are you spending too much time every day and 138 00:05:46,170 --> 00:05:48,610 every week on admin tasks, 139 00:05:48,610 --> 00:05:50,250 on content production, 140 00:05:50,530 --> 00:05:52,970 on business back end operations? 141 00:05:52,970 --> 00:05:54,610 And I want you to think that way, 142 00:05:54,770 --> 00:05:57,200 because those are the tasks that can be very 143 00:05:57,200 --> 00:05:59,400 easily done by AI. 144 00:05:59,680 --> 00:06:01,480 Those are also the tasks that really should 145 00:06:01,480 --> 00:06:02,920 be done, in my opinion, 146 00:06:02,920 --> 00:06:04,680 by what I call the robots. 147 00:06:04,720 --> 00:06:06,280 Like the robots in the computer. 148 00:06:06,400 --> 00:06:09,200 And those are things like drafting emails, 149 00:06:09,200 --> 00:06:11,760 scheduling meetings, doing data entry, 150 00:06:11,840 --> 00:06:13,280 project management. 151 00:06:13,320 --> 00:06:16,200 Even some of the content production, 152 00:06:16,520 --> 00:06:19,160 the workflows related to content creation, 153 00:06:19,160 --> 00:06:21,200 social media market research, 154 00:06:21,400 --> 00:06:23,920 those types of things the AI is really good 155 00:06:23,920 --> 00:06:26,400 at. And by allowing the AI to do that, 156 00:06:26,400 --> 00:06:29,160 it frees up you and your team members to 157 00:06:29,200 --> 00:06:32,120 focus on more strategic activities like 158 00:06:32,120 --> 00:06:34,200 planning, business development, 159 00:06:34,240 --> 00:06:36,400 high touch client services, 160 00:06:36,680 --> 00:06:38,400 innovating within your business, 161 00:06:38,520 --> 00:06:40,720 public speaking, thought leadership, 162 00:06:40,720 --> 00:06:43,440 writing a book, being a guest on podcasts and 163 00:06:43,440 --> 00:06:45,160 in the media, and so on. 164 00:06:45,160 --> 00:06:47,480 Those are the things that you as the human 165 00:06:47,480 --> 00:06:50,200 should be doing, because only you can do it. 166 00:06:50,360 --> 00:06:53,040 After all, that is the promise of AI to allow 167 00:06:53,040 --> 00:06:54,920 us to automate, optimize, 168 00:06:54,920 --> 00:06:57,790 create and personalize in ways that we 169 00:06:57,790 --> 00:06:59,470 haven't been able to before. 170 00:06:59,550 --> 00:07:01,710 So I'm going to walk you through some real 171 00:07:01,710 --> 00:07:04,830 world use cases and workflows that I'm using 172 00:07:04,830 --> 00:07:08,150 right now in speaking your brand to inspire 173 00:07:08,150 --> 00:07:10,310 you and to give you some ideas of what you 174 00:07:10,310 --> 00:07:11,630 can do as well. 175 00:07:11,950 --> 00:07:14,470 To help you do this, I've created a brand new 176 00:07:14,470 --> 00:07:17,110 live online program called Automate and 177 00:07:17,110 --> 00:07:18,750 Amplify with AI. 178 00:07:19,270 --> 00:07:20,430 I'm going to show you, 179 00:07:20,430 --> 00:07:22,710 and we're going to build together these AI 180 00:07:22,710 --> 00:07:24,950 automation workflows that you can use for 181 00:07:24,950 --> 00:07:27,110 your operations, your marketing, 182 00:07:27,110 --> 00:07:29,070 and your content creation. 183 00:07:29,110 --> 00:07:30,670 You get weekly zoom calls, 184 00:07:30,670 --> 00:07:33,830 a private slack group for Q&A and feedback. 185 00:07:33,830 --> 00:07:35,550 In between the zoom calls, 186 00:07:35,550 --> 00:07:37,870 you get personalized guidance and training 187 00:07:37,870 --> 00:07:40,510 from me, and I'm going to give you my 188 00:07:40,510 --> 00:07:43,190 automation workflow blueprints to get you 189 00:07:43,190 --> 00:07:46,190 started and show you how to customize them 190 00:07:46,190 --> 00:07:48,510 for yourself. You can get all the details of 191 00:07:48,510 --> 00:07:51,230 this program and apply as speaking your brand 192 00:07:52,150 --> 00:07:54,030 AI. Again, that's speaking your brand. 193 00:07:54,490 --> 00:07:58,170 Am I? So here are the three areas that we're 194 00:07:58,170 --> 00:07:59,330 going to look at for AI, 195 00:07:59,370 --> 00:08:01,170 automation, operations, 196 00:08:01,170 --> 00:08:03,010 marketing, and revenue. 197 00:08:03,130 --> 00:08:05,130 The first one is operations. 198 00:08:05,650 --> 00:08:08,610 And the first real world use case is creating 199 00:08:08,610 --> 00:08:10,890 an AI agent assistant. 200 00:08:10,930 --> 00:08:12,650 Now, just like in the movie her, 201 00:08:13,050 --> 00:08:15,930 I have had this dream where I would love to 202 00:08:15,930 --> 00:08:19,450 just be able to send a voice memo or even 203 00:08:19,450 --> 00:08:22,450 type something on my phone or on my laptop 204 00:08:22,450 --> 00:08:24,530 that says, can you please send an email and 205 00:08:24,530 --> 00:08:26,650 so and so and, and ask them if we can set up 206 00:08:26,650 --> 00:08:28,890 a meeting. And I don't have to give the all 207 00:08:28,890 --> 00:08:31,970 the exact words and every sentence and every 208 00:08:31,970 --> 00:08:34,770 paragraph, I can just kind of give a general 209 00:08:34,930 --> 00:08:37,370 direction. And then the assistant knows what 210 00:08:37,370 --> 00:08:38,930 to do, or to schedule a meeting, 211 00:08:38,930 --> 00:08:41,490 or to add a task to my project management, 212 00:08:41,490 --> 00:08:44,850 or to take a lead and put it into asana, 213 00:08:44,890 --> 00:08:47,210 the project management tool I use and fill in 214 00:08:47,210 --> 00:08:48,650 all the fields. Now, yes, 215 00:08:48,650 --> 00:08:50,410 I have had assistants in the past. 216 00:08:50,410 --> 00:08:52,530 Human assistants who can do this, 217 00:08:52,530 --> 00:08:55,720 but I want to free them up to do higher value 218 00:08:55,720 --> 00:08:57,600 activities. So the same thing with you. 219 00:08:57,760 --> 00:08:59,480 You may have a virtual assistant or an 220 00:08:59,480 --> 00:09:02,000 executive assistant who does these things for 221 00:09:02,000 --> 00:09:04,960 you right now. But imagine if you empower 222 00:09:04,960 --> 00:09:08,400 them to create these AI agent assistants and 223 00:09:08,400 --> 00:09:11,680 workflows. So then they can build those for 224 00:09:11,680 --> 00:09:13,720 you, maybe for other clients that they have 225 00:09:13,760 --> 00:09:15,840 to free them up to do those higher value 226 00:09:15,880 --> 00:09:17,160 human activities. 227 00:09:17,560 --> 00:09:19,000 For my AI agent assistant, 228 00:09:19,000 --> 00:09:21,360 I'm using slack as the interface. 229 00:09:21,360 --> 00:09:24,240 So I send a message either type it or via 230 00:09:24,240 --> 00:09:25,960 voice into slack. 231 00:09:25,960 --> 00:09:29,080 And then my workflow picks up that message 232 00:09:29,080 --> 00:09:31,040 and then does whatever it is that I'm asking 233 00:09:31,040 --> 00:09:33,040 it to do. Whether it's draft an email, 234 00:09:33,200 --> 00:09:35,800 schedule a meeting, add something to asana, 235 00:09:35,920 --> 00:09:37,920 and so on. So I'm going to play the video 236 00:09:37,920 --> 00:09:40,000 demo here. If you are listening on the 237 00:09:40,000 --> 00:09:42,360 podcast, I'll narrate what's going on on the 238 00:09:42,360 --> 00:09:44,040 screen, but don't forget that you can check 239 00:09:44,040 --> 00:09:45,680 out the video on the show notes page. 240 00:09:45,680 --> 00:09:47,320 Let me go ahead and play this demo. 241 00:09:47,320 --> 00:09:49,760 Send an email to Ed asking him to pack up the 242 00:09:49,760 --> 00:09:52,560 tripod and HDMI cable for our meetup 243 00:09:52,560 --> 00:09:53,910 presentation tonight. 244 00:09:53,950 --> 00:09:56,390 Also, ask him if there's anything he needs me 245 00:09:56,390 --> 00:10:00,310 to bring. All right, so I did that via voice. 246 00:10:00,310 --> 00:10:02,430 So I sent that message in asana. 247 00:10:02,430 --> 00:10:05,350 So now it's going to my workflow and Macomb. 248 00:10:05,750 --> 00:10:08,150 And here's what's cool about this AI agent 249 00:10:08,150 --> 00:10:10,150 assistant is that it understands that it 250 00:10:10,150 --> 00:10:12,070 needs to send an email. So it knows is this 251 00:10:12,070 --> 00:10:13,630 is not adding to the calendar. 252 00:10:13,750 --> 00:10:16,350 It knows exactly what tool to go use, 253 00:10:16,350 --> 00:10:17,390 in this case Gmail. 254 00:10:17,390 --> 00:10:19,430 And it knows how to write the emails. 255 00:10:19,430 --> 00:10:22,110 So I don't have to dictate the email word for 256 00:10:22,110 --> 00:10:24,430 word. Instead, I can just say what you heard 257 00:10:24,430 --> 00:10:26,110 me say. Send an email to editor, 258 00:10:26,110 --> 00:10:27,510 tell them to bring these things, 259 00:10:27,550 --> 00:10:28,830 see if there's anything else, 260 00:10:28,830 --> 00:10:32,430 and then it's OpenAI's API ChatGPT behind the 261 00:10:32,430 --> 00:10:34,670 scenes, which is actually drafting that 262 00:10:34,670 --> 00:10:37,310 email. And with this AI agent assistant, 263 00:10:37,310 --> 00:10:39,630 I can keep thinking of different tasks, 264 00:10:39,630 --> 00:10:41,950 different things that I can incorporate. 265 00:10:41,950 --> 00:10:44,230 So more things that I can do on my behalf. 266 00:10:44,590 --> 00:10:48,070 Here's the second use case in the operations 267 00:10:48,070 --> 00:10:50,750 category. There are now tools where you can 268 00:10:50,750 --> 00:10:53,370 create entire websites and entire web 269 00:10:53,410 --> 00:10:56,330 applications from a chat interface. 270 00:10:56,330 --> 00:10:58,730 So just like you chat with ChatGPT, 271 00:10:58,890 --> 00:11:01,410 you can do the same thing and build these 272 00:11:01,410 --> 00:11:03,410 entire websites and applications. 273 00:11:03,410 --> 00:11:06,330 It is amazing and it really allows you to 274 00:11:06,370 --> 00:11:07,650 innovate quickly. 275 00:11:07,690 --> 00:11:10,090 Say you have an idea for an app that you 276 00:11:10,090 --> 00:11:11,850 would want for your clients to be able to 277 00:11:11,890 --> 00:11:14,850 use, but it seems very daunting to have to 278 00:11:14,850 --> 00:11:17,330 figure out how to find a software developer, 279 00:11:17,370 --> 00:11:19,130 how to explain to them what you want, 280 00:11:19,170 --> 00:11:21,090 have it build, and then support it. 281 00:11:21,130 --> 00:11:22,250 It's it's a lot. Trust me. 282 00:11:22,250 --> 00:11:23,970 As someone who did a lot of software 283 00:11:23,970 --> 00:11:26,490 development projects, it's a heavy lift and 284 00:11:26,490 --> 00:11:28,370 there's just a lot that goes into it. 285 00:11:28,450 --> 00:11:31,610 But now with tools like Replit from a chat 286 00:11:31,610 --> 00:11:34,490 interface, you can just ask it what to build. 287 00:11:34,490 --> 00:11:36,410 So I'm going to play this demo here, 288 00:11:36,570 --> 00:11:38,850 and I'm going to show you what it looks like. 289 00:11:39,090 --> 00:11:41,690 And what I had to do was create a website for 290 00:11:41,690 --> 00:11:43,290 an AI consulting service. 291 00:11:43,290 --> 00:11:45,930 So speaking, your brand AI is what I called 292 00:11:45,930 --> 00:11:48,010 it, and it built the entire website. 293 00:11:48,050 --> 00:11:50,170 It designed the entire website. 294 00:11:50,170 --> 00:11:52,840 And then in the chat interface I can then ask 295 00:11:52,840 --> 00:11:54,120 it to make modifications. 296 00:11:54,120 --> 00:11:56,880 So originally the website was when blue 297 00:11:56,880 --> 00:11:58,600 colors. So I told it. 298 00:11:58,600 --> 00:12:00,800 I said please change the colors to speaking 299 00:12:00,800 --> 00:12:01,880 your brand brand colors. 300 00:12:01,880 --> 00:12:04,200 And I gave it the purple and coral brand 301 00:12:04,200 --> 00:12:06,200 colors. So then it went through and it 302 00:12:06,200 --> 00:12:08,400 figured out where to change the colors. 303 00:12:08,400 --> 00:12:09,720 I didn't have to tell it, 304 00:12:09,720 --> 00:12:11,240 change the color on the button, 305 00:12:11,240 --> 00:12:13,200 and then change the color on this heading, 306 00:12:13,200 --> 00:12:16,040 and then change this color on the gradient. 307 00:12:16,120 --> 00:12:17,440 It knew how to do that, 308 00:12:17,680 --> 00:12:19,280 and it will add graphics, 309 00:12:19,280 --> 00:12:20,520 or it will change out photos, 310 00:12:20,520 --> 00:12:23,480 and you just have to type it in the chat what 311 00:12:23,480 --> 00:12:24,520 you want it to do. 312 00:12:24,520 --> 00:12:26,200 It is so cool. 313 00:12:26,200 --> 00:12:27,640 So those were for operations. 314 00:12:27,640 --> 00:12:30,920 So an assistant and being able to experiment 315 00:12:30,920 --> 00:12:33,320 and innovate with these tools like Replit to 316 00:12:33,360 --> 00:12:35,440 build websites and applications. 317 00:12:35,520 --> 00:12:37,200 Let's look at the second category now which 318 00:12:37,200 --> 00:12:39,320 is marketing. So the first thing that I 319 00:12:39,320 --> 00:12:42,200 thought about is how to automate repetitive 320 00:12:42,240 --> 00:12:45,200 tasks. To save me time and to save my team 321 00:12:45,240 --> 00:12:48,160 time. We produce a podcast episode every 322 00:12:48,160 --> 00:12:50,320 single week, and there's a lot that goes into 323 00:12:50,320 --> 00:12:53,870 it. Everything from editing the episode 324 00:12:53,870 --> 00:12:55,390 itself to writing the show notes, 325 00:12:55,390 --> 00:12:57,470 the LinkedIn post, the email newsletter, 326 00:12:57,630 --> 00:12:58,670 putting it on the blog, 327 00:12:58,670 --> 00:13:00,230 creating the episode graphics, 328 00:13:00,230 --> 00:13:03,310 and so on. I created an automation workflow 329 00:13:03,350 --> 00:13:06,550 using Macomb that goes through all of those 330 00:13:06,550 --> 00:13:09,430 different steps. All I have to do is take the 331 00:13:09,430 --> 00:13:13,030 final audio file, place it in a Google Drive 332 00:13:13,070 --> 00:13:14,510 folder, and that is it. 333 00:13:14,750 --> 00:13:17,430 And then the Macomb scenario sees that 334 00:13:17,430 --> 00:13:19,670 there's a new file in that folder. 335 00:13:19,670 --> 00:13:22,350 And then kicks off the automation workflow to 336 00:13:22,350 --> 00:13:24,950 do the show notes, the LinkedIn post and so 337 00:13:24,950 --> 00:13:27,550 on. And then it runs through all of it. 338 00:13:27,550 --> 00:13:29,350 So all I had to do was drop it into that 339 00:13:29,350 --> 00:13:32,070 folder. So that not only saves time, 340 00:13:32,070 --> 00:13:35,390 but also just like that cognitive overload of 341 00:13:35,390 --> 00:13:37,270 having to go and remember to do all these 342 00:13:37,270 --> 00:13:38,990 things, or having to go do all these things. 343 00:13:38,990 --> 00:13:41,150 And this is where automation is the next step 344 00:13:41,150 --> 00:13:43,110 from saying just using ChatGPT, 345 00:13:43,270 --> 00:13:45,990 using ChatGPT is amazing because then again, 346 00:13:45,990 --> 00:13:47,870 you can go, you can put a transcript in and 347 00:13:47,870 --> 00:13:49,430 it will write the show notes on everything, 348 00:13:49,430 --> 00:13:51,210 but it's still a manual process. 349 00:13:51,210 --> 00:13:52,930 You're still going to ChatGPT. 350 00:13:52,970 --> 00:13:54,370 Coming back out, you know, copying and 351 00:13:54,370 --> 00:13:56,530 pasting to a Google doc and coming back out. 352 00:13:57,410 --> 00:13:59,170 The one thing with using these automation 353 00:13:59,170 --> 00:14:00,850 workflows is that you do want to make sure 354 00:14:00,850 --> 00:14:02,650 that you're providing very specific 355 00:14:02,650 --> 00:14:05,410 instructions to the large language model that 356 00:14:05,410 --> 00:14:06,970 you're using. In this case, I'm using 357 00:14:06,970 --> 00:14:09,730 OpenAI's API, which is ChatGPT. 358 00:14:09,850 --> 00:14:12,770 So I give it specific instructions to how to 359 00:14:12,810 --> 00:14:14,370 write the show notes and the email 360 00:14:14,370 --> 00:14:16,090 newsletter, and so on to make it sound like 361 00:14:16,090 --> 00:14:17,130 it's coming from me. 362 00:14:17,250 --> 00:14:19,450 And speaking your brand with our brand voice 363 00:14:19,450 --> 00:14:20,690 and our style. 364 00:14:20,890 --> 00:14:23,530 And so in that automated amplify with AI 365 00:14:23,570 --> 00:14:25,770 program, I'm going to show you how to do this 366 00:14:25,770 --> 00:14:27,890 for yourself so that you make sure that that 367 00:14:27,890 --> 00:14:29,610 the output, the end result, 368 00:14:29,730 --> 00:14:31,130 sounds and feels like you. 369 00:14:31,170 --> 00:14:32,810 Not generic output. 370 00:14:33,250 --> 00:14:35,730 Now here's the second real world use case in 371 00:14:35,730 --> 00:14:39,090 the marketing category was leveraging all of 372 00:14:39,090 --> 00:14:42,730 the content that I have by building a rag for 373 00:14:42,730 --> 00:14:45,130 my podcast. Now I'm going to I'll tell you 374 00:14:45,130 --> 00:14:46,650 what a rag is in just a moment. 375 00:14:47,050 --> 00:14:49,890 I have over 400 episodes of the Speaking Your 376 00:14:49,920 --> 00:14:52,280 Brand podcast, which is a very rich content 377 00:14:52,280 --> 00:14:55,160 library. But it also can be overwhelming for 378 00:14:55,160 --> 00:14:57,320 new listeners who find the podcast. 379 00:14:57,320 --> 00:14:59,560 They may have a specific question or a topic 380 00:14:59,560 --> 00:15:00,960 that they're looking for, whether it's 381 00:15:00,960 --> 00:15:03,360 speaking fees or finding events, 382 00:15:03,360 --> 00:15:05,840 or reducing nerves and building confidence or 383 00:15:05,840 --> 00:15:07,840 using stories in their presentations. 384 00:15:07,840 --> 00:15:09,920 And they have to scroll through a lot of 385 00:15:09,920 --> 00:15:12,240 episodes to find what they're looking for. 386 00:15:12,560 --> 00:15:14,640 Also, I'll feel like I've just done a topic 387 00:15:14,640 --> 00:15:16,760 such as storytelling, and I look back at my 388 00:15:16,760 --> 00:15:18,240 episode list and it's been a year, 389 00:15:18,240 --> 00:15:20,880 maybe a year and a half since I dedicated an 390 00:15:20,880 --> 00:15:23,720 episode to it. So I wanted to find a way to 391 00:15:23,760 --> 00:15:26,840 make my podcast library much more accessible 392 00:15:26,840 --> 00:15:28,680 and usable to listeners. 393 00:15:28,880 --> 00:15:31,320 So that's where a rag comes in. 394 00:15:31,360 --> 00:15:33,440 Now a rag is called a retrieval. 395 00:15:33,680 --> 00:15:38,400 Augmented generation engine is just a jargony 396 00:15:38,440 --> 00:15:40,960 way to say an AI knowledge base. 397 00:15:40,960 --> 00:15:42,880 So if you hear the term rag, 398 00:15:42,880 --> 00:15:44,760 just think it's an AI knowledge base. 399 00:15:44,760 --> 00:15:46,320 So it's like a knowledge base of all of your 400 00:15:46,320 --> 00:15:50,350 content, but AI is infused into it to make it 401 00:15:50,350 --> 00:15:53,350 much more powerful for you to access. 402 00:15:53,550 --> 00:15:55,550 And here's the difference between just using 403 00:15:55,550 --> 00:15:57,750 a standard large language model versus using 404 00:15:57,750 --> 00:16:00,030 one with your rag with the standard large 405 00:16:00,030 --> 00:16:01,830 language model like ChatGPT. 406 00:16:01,990 --> 00:16:03,030 You ask it a question, 407 00:16:03,030 --> 00:16:05,110 or you enter a prompt and it's going to give 408 00:16:05,110 --> 00:16:06,590 you a very well written response. 409 00:16:06,590 --> 00:16:08,990 But that response is based on all of its 410 00:16:08,990 --> 00:16:10,590 training data, basically in the entire 411 00:16:10,590 --> 00:16:12,310 internet. So it's going to be good, 412 00:16:12,310 --> 00:16:14,270 but it's not specific to you your 413 00:16:14,270 --> 00:16:16,230 methodology, your processes, 414 00:16:16,230 --> 00:16:18,350 your frameworks, the way that you do things. 415 00:16:18,670 --> 00:16:20,630 That's where a rag comes in. 416 00:16:20,710 --> 00:16:22,390 Because what happens is when you send that 417 00:16:22,390 --> 00:16:25,310 question or that prompt to the large language 418 00:16:25,310 --> 00:16:27,270 model, it looks at your rag, 419 00:16:27,310 --> 00:16:29,790 your AI knowledge base first to get the 420 00:16:29,790 --> 00:16:32,110 answer, and then it uses a large language 421 00:16:32,110 --> 00:16:33,550 model to write that very, 422 00:16:33,550 --> 00:16:35,590 very well-written output. 423 00:16:36,470 --> 00:16:38,670 So in this case, when it looks at my rag, 424 00:16:38,670 --> 00:16:40,870 it looks at my Speaking Your Brand podcast 425 00:16:40,870 --> 00:16:42,870 content to write the output. 426 00:16:42,870 --> 00:16:45,350 So now it mentions my frameworks and the way 427 00:16:45,350 --> 00:16:47,230 that we talk about doing things instead of 428 00:16:47,230 --> 00:16:48,890 just what's on the internet. 429 00:16:49,210 --> 00:16:51,570 Here's the workflow that I built for this. 430 00:16:51,690 --> 00:16:54,810 I use a company called needle Dicom for my 431 00:16:54,810 --> 00:16:56,410 Rag, my AI knowledge base, 432 00:16:56,410 --> 00:16:59,690 and I uploaded about 100 of my solo podcast 433 00:16:59,690 --> 00:17:01,650 episode transcripts to it. 434 00:17:02,210 --> 00:17:04,050 It's sitting there in Needle eye. 435 00:17:04,050 --> 00:17:07,010 And then in my Macomb workflow scenario, 436 00:17:07,010 --> 00:17:10,370 if someone sends a question to podcast as 437 00:17:10,370 --> 00:17:12,130 speaking your brand, you could actually send 438 00:17:12,130 --> 00:17:14,050 a question. Their podcast is speaking your 439 00:17:14,050 --> 00:17:18,090 brand. It will look through my rag in needle 440 00:17:18,130 --> 00:17:20,970 to find the transcripts that have the 441 00:17:21,290 --> 00:17:22,650 pertinent content in it, 442 00:17:22,650 --> 00:17:25,290 and then open. I ChatGPT will write the 443 00:17:25,290 --> 00:17:27,730 response and then send the reply email to 444 00:17:27,770 --> 00:17:30,050 that person. So I'm going to show you here 445 00:17:30,130 --> 00:17:31,170 what it looks like. 446 00:17:31,290 --> 00:17:33,250 So again I'm sending a question to podcast 447 00:17:33,250 --> 00:17:34,890 and speaking your brand. What is the 448 00:17:34,890 --> 00:17:37,010 signature talk and why would I need one. 449 00:17:37,090 --> 00:17:39,610 It's going through the scenarios looking at 450 00:17:39,610 --> 00:17:42,930 my rag and needle ChatGPT is writing the 451 00:17:43,010 --> 00:17:44,730 response and then sending it back. 452 00:17:45,130 --> 00:17:48,040 And now here's what's so powerful about this 453 00:17:48,040 --> 00:17:51,440 is that the reply is based on how we as 454 00:17:51,440 --> 00:17:53,360 speaking your brand talk about signature 455 00:17:53,360 --> 00:17:55,360 talks. So it mentions our signature Talk 456 00:17:55,360 --> 00:17:57,480 Canvas framework. It talks about why you need 457 00:17:57,480 --> 00:17:59,160 a signature talk, and the way that we talk 458 00:17:59,200 --> 00:18:02,000 about it even can reference specific podcast 459 00:18:02,000 --> 00:18:04,360 episodes to point the person to. 460 00:18:04,520 --> 00:18:07,560 So not only is this really useful for podcast 461 00:18:07,560 --> 00:18:10,560 listeners to get on demand answers, 462 00:18:10,560 --> 00:18:13,200 but it also serves as brand awareness and 463 00:18:13,200 --> 00:18:15,160 lead generation for what we're doing. 464 00:18:17,000 --> 00:18:18,080 So after I built this, 465 00:18:18,080 --> 00:18:20,560 I thought, well, text replies are nice, 466 00:18:20,560 --> 00:18:23,360 but what if people could hear my voice 467 00:18:23,360 --> 00:18:24,920 provide their reply? 468 00:18:25,000 --> 00:18:26,560 After all, a lot of these people are podcast 469 00:18:26,560 --> 00:18:28,280 listeners and they're used to listening to 470 00:18:28,280 --> 00:18:30,520 me. So here's real world use. 471 00:18:30,520 --> 00:18:33,480 Case number three is cloning my voice. 472 00:18:33,600 --> 00:18:36,720 I took about four hours of my podcast audio, 473 00:18:37,040 --> 00:18:40,640 and I used 11 labs to professionally clone my 474 00:18:40,640 --> 00:18:43,040 voice. Let me play you an example of an 475 00:18:43,040 --> 00:18:46,680 actual conversation between AI Carol, 476 00:18:47,070 --> 00:18:49,510 and a user who asked a question. 477 00:18:50,150 --> 00:18:52,110 Hi, this is AI Carol, from speaking your 478 00:18:52,110 --> 00:18:53,750 brand. How can I help you today? 479 00:18:54,110 --> 00:18:56,350 Speaker2: What's the secret to creating a powerful 480 00:18:56,350 --> 00:18:57,510 signature talk? 481 00:18:58,830 --> 00:19:02,190 Carol Cox: Creating a powerful signature talk involves 482 00:19:02,190 --> 00:19:03,870 understanding your audience, 483 00:19:04,070 --> 00:19:05,430 having a clear message, 484 00:19:05,510 --> 00:19:07,670 and delivering it with authenticity and 485 00:19:07,670 --> 00:19:09,910 confidence. Is there anything specific you 486 00:19:09,910 --> 00:19:11,510 would like to know more about regarding 487 00:19:11,510 --> 00:19:12,670 signature talks? 488 00:19:13,790 --> 00:19:14,910 Speaker2: What if I don't feel. 489 00:19:15,350 --> 00:19:17,270 Carol Cox: Okay, so then the conversation goes on. 490 00:19:17,270 --> 00:19:20,550 But again, I didn't have to tell AI Carol, 491 00:19:20,990 --> 00:19:23,190 here's exactly how to answer every single 492 00:19:23,190 --> 00:19:24,990 question that someone could ask instead, is 493 00:19:24,990 --> 00:19:27,030 looking at my podcast transcripts and 494 00:19:27,030 --> 00:19:28,950 figuring out the answer on the fly, 495 00:19:28,950 --> 00:19:30,830 and then having that very natural sounding 496 00:19:30,830 --> 00:19:33,070 conversation with the other person. 497 00:19:33,270 --> 00:19:35,230 You can try this out for yourself and 498 00:19:35,230 --> 00:19:37,510 speaking your brand. Com website. 499 00:19:37,510 --> 00:19:39,030 If you look in the lower right hand side of 500 00:19:39,030 --> 00:19:40,510 the website, you'll see there's a little pop 501 00:19:40,510 --> 00:19:42,150 up box that says have questions, 502 00:19:42,190 --> 00:19:45,230 ask AI Carol, and you can have either a text 503 00:19:45,230 --> 00:19:47,050 or a voice conversation. 504 00:19:47,450 --> 00:19:48,970 After I did this voice cloning, 505 00:19:48,970 --> 00:19:51,210 I started to think, well, if I can provide 506 00:19:51,210 --> 00:19:54,210 text replies, if someone emails a question, 507 00:19:54,210 --> 00:19:57,490 it could also provide voice replies as well. 508 00:19:57,490 --> 00:19:59,970 And this is truly personalization at scale, 509 00:19:59,970 --> 00:20:02,010 and I feel like a lot of content that's going 510 00:20:02,010 --> 00:20:05,610 to be created with AI is going to allow this 511 00:20:05,610 --> 00:20:06,770 hyper personalization, 512 00:20:06,770 --> 00:20:09,290 this deep personalization based on what the 513 00:20:09,290 --> 00:20:10,530 person is looking for. 514 00:20:11,210 --> 00:20:13,730 So what I did in this case was very similar 515 00:20:13,730 --> 00:20:17,130 to sending an email asking a question, 516 00:20:17,130 --> 00:20:18,930 but instead of just getting back a text 517 00:20:18,930 --> 00:20:21,650 reply, now the person gets back a text reply 518 00:20:21,650 --> 00:20:25,610 and an audio file that has AI Carol, 519 00:20:25,610 --> 00:20:28,250 sharing a little bit more of the response to 520 00:20:28,250 --> 00:20:30,570 that question. You can try this out yourself 521 00:20:30,570 --> 00:20:33,090 by sending a question to On Demand as 522 00:20:33,090 --> 00:20:34,730 speaking your brand. And again, 523 00:20:34,730 --> 00:20:37,530 that's on demand as speaking your brand. 524 00:20:38,730 --> 00:20:40,850 And so you'll ask a question and then you'll 525 00:20:40,850 --> 00:20:44,050 get back within a minute or so that reply 526 00:20:44,050 --> 00:20:45,760 with the audio message. 527 00:20:46,120 --> 00:20:47,640 And then I started to think, well, these one 528 00:20:47,680 --> 00:20:49,960 off on demand replies are great, 529 00:20:50,240 --> 00:20:52,360 but what if I could create an entire 530 00:20:52,360 --> 00:20:57,440 companion podcast that is 100% AI generated 531 00:20:57,720 --> 00:21:00,880 with short answers to common questions that 532 00:21:00,880 --> 00:21:02,640 people have related to public speaking? 533 00:21:02,680 --> 00:21:04,440 Thought leadership, personal branding, 534 00:21:04,640 --> 00:21:06,560 business storytelling, and so on. 535 00:21:06,920 --> 00:21:10,160 So recently I launched the Confident Speaker 536 00:21:10,160 --> 00:21:13,150 podcast, which has episodes that are about 3 537 00:21:13,150 --> 00:21:16,840 to 5 minutes in length and they're all 100%. 538 00:21:17,000 --> 00:21:19,680 I created with my voice clone. 539 00:21:19,680 --> 00:21:22,760 I have a list of topics in a spreadsheet, 540 00:21:22,760 --> 00:21:25,280 and then it goes through and creates an 541 00:21:25,280 --> 00:21:27,680 episode based on the next question or the 542 00:21:27,680 --> 00:21:29,800 next topic in the spreadsheet. 543 00:21:29,800 --> 00:21:31,600 So it's using my AI knowledge base, 544 00:21:31,600 --> 00:21:33,400 all of those podcast transcripts. 545 00:21:33,680 --> 00:21:36,400 Openai is writing the script and the show 546 00:21:36,400 --> 00:21:38,120 notes the workflow automation, 547 00:21:38,120 --> 00:21:41,560 and Macomb does all of this sends the script 548 00:21:41,560 --> 00:21:44,520 to 11 labs, my voice clone to actually 549 00:21:44,590 --> 00:21:47,430 generate the audio and then ultimately sends 550 00:21:47,430 --> 00:21:48,950 it to my podcast host, 551 00:21:48,990 --> 00:21:51,790 transistor. It is in draft mode, 552 00:21:51,790 --> 00:21:54,270 so I can go check the script and show notes 553 00:21:54,270 --> 00:21:55,590 and listen to the audio, 554 00:21:55,590 --> 00:21:58,270 and it takes me longer to do that than it 555 00:21:58,270 --> 00:21:59,510 takes to create the episode. 556 00:21:59,550 --> 00:22:01,950 It really takes about one minute for the 557 00:22:01,950 --> 00:22:05,950 entire workflow to run to create an episode. 558 00:22:05,990 --> 00:22:09,270 Now contrast that with about the four hours 559 00:22:09,470 --> 00:22:12,150 on average it takes for me to create a 560 00:22:12,150 --> 00:22:14,630 regular Speaking Your Brand podcast. 561 00:22:14,670 --> 00:22:16,590 I'm excited about this because it's a new 562 00:22:16,590 --> 00:22:19,030 content channel that I've created. 563 00:22:19,030 --> 00:22:22,030 It allows people to get quick answers to what 564 00:22:22,030 --> 00:22:24,510 they're looking for, and builds more brand 565 00:22:24,510 --> 00:22:26,990 awareness for speaking your brand and 566 00:22:26,990 --> 00:22:29,190 hopefully lead generation as well. 567 00:22:29,430 --> 00:22:31,830 Let me play a clip from one of those AI 568 00:22:31,870 --> 00:22:33,190 generated episodes. 569 00:22:33,990 --> 00:22:35,830 Welcome to the Speaking Your Brand podcast. 570 00:22:35,830 --> 00:22:37,990 This is your host AI Carol, 571 00:22:38,030 --> 00:22:40,110 have you ever looked out at your audience mid 572 00:22:40,110 --> 00:22:42,350 speech and thought, are they even still with 573 00:22:42,350 --> 00:22:45,410 me? We've all been there talking on a stage, 574 00:22:45,610 --> 00:22:48,690 making our points only to notice glazed eyes, 575 00:22:48,730 --> 00:22:50,570 distracted glances, or the worst, 576 00:22:50,570 --> 00:22:52,090 someone pulling out their phone. Now, would 577 00:22:52,090 --> 00:22:54,650 you have known that that was AI Carol, 578 00:22:54,650 --> 00:22:55,930 and not real Carol? 579 00:22:55,970 --> 00:22:57,170 Probably not. 580 00:22:57,450 --> 00:22:59,690 That's how good this voice cloning is. 581 00:22:59,690 --> 00:23:02,130 Now some people. Now some people have asked 582 00:23:02,130 --> 00:23:03,570 me, well, aren't you concerned that people 583 00:23:03,570 --> 00:23:05,130 could take your voice and use it? 584 00:23:05,330 --> 00:23:06,730 I personally am not concerned. 585 00:23:06,770 --> 00:23:08,850 I'm not famous or a celebrity. 586 00:23:09,010 --> 00:23:11,690 Plus, there's hours and hours of my voice 587 00:23:11,690 --> 00:23:13,530 already out on the internet from all of my 588 00:23:13,530 --> 00:23:14,930 podcast episodes. 589 00:23:15,050 --> 00:23:16,330 And with 11 labs. 590 00:23:16,330 --> 00:23:19,450 After I uploaded the four hours of podcast 591 00:23:19,490 --> 00:23:22,290 audio, I had to record into the software 592 00:23:22,290 --> 00:23:25,690 live. Me saying a paragraph so it could match 593 00:23:25,930 --> 00:23:28,090 that podcast audio to me, 594 00:23:28,090 --> 00:23:29,930 the real person, to make sure that I wasn't 595 00:23:29,930 --> 00:23:31,530 trying to clone someone's voice, that I 596 00:23:31,530 --> 00:23:32,970 didn't have permission to do so. 597 00:23:33,010 --> 00:23:34,930 So there are safeguards built in. 598 00:23:34,970 --> 00:23:37,170 Now, of course, is there software out there 599 00:23:37,170 --> 00:23:38,730 that people could do this without someone's 600 00:23:38,730 --> 00:23:40,010 permission? Yes. But again, 601 00:23:40,010 --> 00:23:41,650 I'm not worried about that. I'm not well 602 00:23:41,690 --> 00:23:43,250 known enough to do that, 603 00:23:43,250 --> 00:23:45,720 but what it has allowed me to do is to create 604 00:23:45,720 --> 00:23:48,680 content and create value to my audience 605 00:23:48,680 --> 00:23:51,160 without me having to spend hours doing so. 606 00:23:51,440 --> 00:23:52,920 And by freeing up that time, 607 00:23:52,920 --> 00:23:54,920 I can now host more workshops, 608 00:23:54,920 --> 00:23:56,920 whether online or in person. 609 00:23:56,920 --> 00:23:59,440 I can do more one on one work with clients. 610 00:23:59,440 --> 00:24:02,000 I can run that new automated amplify with AI 611 00:24:02,040 --> 00:24:04,960 program because I'm not spending time doing 612 00:24:04,960 --> 00:24:06,520 these repetitive tasks. 613 00:24:06,600 --> 00:24:09,440 Let's take a look at that third area of 614 00:24:09,440 --> 00:24:11,400 opportunity, which is revenue. 615 00:24:11,440 --> 00:24:13,840 Thinking about how to integrate AI into, 616 00:24:13,880 --> 00:24:16,080 say, the client work that you're doing. 617 00:24:16,160 --> 00:24:18,520 The first real world use case under revenue 618 00:24:18,520 --> 00:24:19,760 is lead nurturing. 619 00:24:19,760 --> 00:24:21,360 So think about lead nurturing and business 620 00:24:21,360 --> 00:24:23,320 development. And this is where you can really 621 00:24:23,320 --> 00:24:25,920 use personalization at scale. 622 00:24:26,200 --> 00:24:28,440 One of the things that is always on my weekly 623 00:24:28,440 --> 00:24:30,920 task list that honestly I never get to, 624 00:24:31,440 --> 00:24:34,440 is finding new connections on LinkedIn and I. 625 00:24:34,440 --> 00:24:37,280 And what I like to do is when someone signs 626 00:24:37,280 --> 00:24:39,880 up for our email list and ConvertKit is go 627 00:24:39,920 --> 00:24:41,320 look them up on LinkedIn, 628 00:24:41,400 --> 00:24:43,070 read a little bit about them, and then send 629 00:24:43,070 --> 00:24:44,710 them a connection request with a nice 630 00:24:44,710 --> 00:24:46,470 message. And I don't really get around to 631 00:24:46,470 --> 00:24:48,550 doing that, even though I wished I did. 632 00:24:48,710 --> 00:24:51,190 I built an automation in Make.com, 633 00:24:51,190 --> 00:24:53,870 so when someone subscribed to the email list 634 00:24:53,870 --> 00:24:57,270 and ConvertKit, it sends it over to Airtable. 635 00:24:57,270 --> 00:25:00,630 My spreadsheet perplexity I then finds their 636 00:25:00,630 --> 00:25:03,030 LinkedIn profile, summarizes it, 637 00:25:03,030 --> 00:25:05,830 looks to see some suggested speaking topics, 638 00:25:05,950 --> 00:25:08,510 and then writes a personalized LinkedIn 639 00:25:08,510 --> 00:25:10,910 message to the person based on the work that 640 00:25:10,910 --> 00:25:13,390 they do and any commonalities between what 641 00:25:13,390 --> 00:25:14,750 they do and what we do. As speaking, your 642 00:25:14,750 --> 00:25:16,750 brand suggested speaking topics for them and 643 00:25:16,750 --> 00:25:18,950 so on. And of course, I look at the message 644 00:25:18,950 --> 00:25:20,670 before I send it to the person, 645 00:25:20,670 --> 00:25:23,790 but this saves me easily 10 to 15 minutes per 646 00:25:23,790 --> 00:25:26,390 person. This is the type of activity that I 647 00:25:26,390 --> 00:25:28,190 wanted to be doing, but just never got around 648 00:25:28,190 --> 00:25:30,590 to doing it. And now this is the type of 649 00:25:30,590 --> 00:25:32,950 activity that I can do really well. 650 00:25:33,350 --> 00:25:35,590 The second real world use case under revenue 651 00:25:35,590 --> 00:25:38,310 is thinking about creating additional 652 00:25:38,310 --> 00:25:40,190 services for your clients. 653 00:25:40,390 --> 00:25:43,570 In our case, we're creating a DIY service for 654 00:25:43,570 --> 00:25:45,490 our signature talk process. 655 00:25:45,530 --> 00:25:47,090 I'm calling it chat CIB, 656 00:25:47,130 --> 00:25:49,810 so like ChatGPT said, this chat speaking your 657 00:25:49,810 --> 00:25:52,170 brand chat CIB, we're basing it on our 658 00:25:52,170 --> 00:25:53,970 signature Talk Canvas framework, 659 00:25:53,970 --> 00:25:55,850 which we've used with hundreds of clients 660 00:25:55,850 --> 00:25:58,610 over the years and is a proven framework to 661 00:25:58,650 --> 00:26:01,570 create a compelling and engaging talk that 662 00:26:01,570 --> 00:26:03,130 provides transformation, 663 00:26:03,170 --> 00:26:05,930 not just information to your audience. 664 00:26:05,970 --> 00:26:08,730 You primarily do this via a one on one 665 00:26:08,730 --> 00:26:09,930 service with our clients, 666 00:26:09,930 --> 00:26:12,090 so we do a three hour VIP day, 667 00:26:12,170 --> 00:26:15,010 primarily on zoom, sometimes in person, 668 00:26:15,170 --> 00:26:17,290 where we're asking the client a bunch of 669 00:26:17,290 --> 00:26:18,970 questions about the work that they do on 670 00:26:18,970 --> 00:26:20,970 their message, and then we're mapping it out 671 00:26:21,050 --> 00:26:22,690 on our poster board with the different posts 672 00:26:22,690 --> 00:26:25,330 and notes. And it's an extremely effective 673 00:26:25,450 --> 00:26:29,090 process, but it is time consuming and it is a 674 00:26:29,090 --> 00:26:31,250 high touch premium service. 675 00:26:31,250 --> 00:26:32,410 So I've been thinking, 676 00:26:32,410 --> 00:26:36,050 how can we provide a DIY version for people 677 00:26:36,050 --> 00:26:37,250 to use as well? 678 00:26:37,410 --> 00:26:39,850 So that's where chat CIB comes in. 679 00:26:39,850 --> 00:26:42,600 And I mentioned Replit earlier that allows 680 00:26:42,600 --> 00:26:44,640 you to build websites and web applications, 681 00:26:44,640 --> 00:26:46,560 where I'm using Replit right now to build a 682 00:26:46,560 --> 00:26:48,800 prototype of Chat Sibi, 683 00:26:48,800 --> 00:26:51,360 and it is amazing because it allows me to get 684 00:26:51,360 --> 00:26:54,040 all of my ideas out really quickly and see 685 00:26:54,040 --> 00:26:55,120 them come to life. 686 00:26:55,160 --> 00:26:57,120 The third real world use case and their 687 00:26:57,120 --> 00:26:59,280 revenue is to share and monetize your 688 00:26:59,320 --> 00:27:00,520 knowledge. And in my case, 689 00:27:00,520 --> 00:27:02,800 I'm doing this with my new Automate and 690 00:27:02,800 --> 00:27:04,880 Amplify with AI program, 691 00:27:04,880 --> 00:27:07,200 where I want to share with you what I've 692 00:27:07,200 --> 00:27:09,120 built and what I'm going to be continuing to 693 00:27:09,120 --> 00:27:11,760 build, so that you can use these workflows 694 00:27:11,760 --> 00:27:13,680 and these automations in your own business 695 00:27:13,680 --> 00:27:15,680 and with your own content creation, 696 00:27:15,680 --> 00:27:18,320 to free up your time to do more of the human 697 00:27:18,320 --> 00:27:20,200 work that you would like to be doing. 698 00:27:20,200 --> 00:27:22,280 And don't forget, you can get all the details 699 00:27:22,360 --> 00:27:24,400 and apply for this program at Speaking Your 700 00:27:24,400 --> 00:27:29,680 Brand. So here are the next steps I want you 701 00:27:29,680 --> 00:27:32,120 to think about using AI not only as a 702 00:27:32,120 --> 00:27:33,840 collaborative partner, but really to 703 00:27:33,880 --> 00:27:36,160 innovate. To innovate what you're doing in 704 00:27:36,160 --> 00:27:38,400 your business and with your content creation. 705 00:27:38,600 --> 00:27:41,630 And last week's podcast episode 432. 706 00:27:41,790 --> 00:27:44,150 I shared four questions from Wharton 707 00:27:44,150 --> 00:27:46,510 professor Ethan Morlock about how to think 708 00:27:46,510 --> 00:27:49,430 about AI, specifically in a business context. 709 00:27:49,550 --> 00:27:50,710 And the four questions are. 710 00:27:50,750 --> 00:27:53,190 Number one, what thing do you currently do is 711 00:27:53,190 --> 00:27:56,230 no longer useful, meaning no longer useful in 712 00:27:56,230 --> 00:27:58,590 your work or to your clients because I can do 713 00:27:58,590 --> 00:27:59,790 it better and faster. 714 00:28:00,190 --> 00:28:03,870 Number two, what impossible thing is now 715 00:28:03,870 --> 00:28:05,790 possible for you to do? 716 00:28:06,070 --> 00:28:08,950 And in my case, it's creating that 100% AI 717 00:28:08,990 --> 00:28:10,830 generated companion podcast. 718 00:28:11,150 --> 00:28:14,910 Number three, what can you democratize access 719 00:28:14,910 --> 00:28:17,110 to in the work that you do? 720 00:28:17,190 --> 00:28:20,230 So chat CIB, that DIY service is an example 721 00:28:20,230 --> 00:28:22,230 of us democratizing our services. 722 00:28:22,430 --> 00:28:24,990 And number four, what can you personalize. 723 00:28:24,990 --> 00:28:27,190 So how can you personalize more what you're 724 00:28:27,190 --> 00:28:29,550 doing with AI. So that's how I want you to 725 00:28:29,550 --> 00:28:31,550 think about this idea of collaboration and 726 00:28:31,550 --> 00:28:33,910 innovation with AI and with automation 727 00:28:33,910 --> 00:28:36,510 workflows. So think about for your business 728 00:28:36,510 --> 00:28:38,870 for operations, marketing and revenue. 729 00:28:39,110 --> 00:28:41,490 What are regular repetitive tasks that can be 730 00:28:41,490 --> 00:28:43,930 automated? What are activities you're not 731 00:28:43,930 --> 00:28:46,290 currently doing but could or should be doing 732 00:28:46,290 --> 00:28:47,690 that you now have time for? 733 00:28:47,730 --> 00:28:49,930 Or that could be more automated like that. 734 00:28:50,130 --> 00:28:52,330 Lead nurturing with LinkedIn that I mention. 735 00:28:52,530 --> 00:28:54,490 And how can you use AI to better understand 736 00:28:54,490 --> 00:28:57,330 your content and your marketing so that you 737 00:28:57,330 --> 00:28:59,610 can serve your team and your clients and 738 00:28:59,610 --> 00:29:01,570 audience in a better and new way? 739 00:29:01,770 --> 00:29:04,810 I invite you to shift your mindset to allow 740 00:29:04,850 --> 00:29:07,690 AI to do the admin and marketing tasks, 741 00:29:07,690 --> 00:29:09,850 so you and your team can focus on the 742 00:29:09,850 --> 00:29:12,770 strategic and the human activities. 743 00:29:12,890 --> 00:29:14,810 In addition to that, automate and Amplify 744 00:29:14,810 --> 00:29:16,050 with AI program. 745 00:29:16,050 --> 00:29:17,730 Here at Speaking Your Brand, we provide 746 00:29:17,730 --> 00:29:20,050 coaching and training for both individuals 747 00:29:20,050 --> 00:29:22,330 and teams on public speaking, 748 00:29:22,370 --> 00:29:24,410 executive presence, thought leadership, 749 00:29:24,410 --> 00:29:25,770 and business storytelling. 750 00:29:25,770 --> 00:29:27,930 You can get details about our programs and 751 00:29:27,930 --> 00:29:30,090 workshops as speaking your brand. 752 00:29:30,330 --> 00:29:33,170 Com. Until next time, thanks for listening.