Everyday AI Podcast – An AI and ChatGPT Podcast - EP 103: How ChatGPT Can Give You a Competitive Edge

Episode Date: September 18, 2023

ChatGPT is one of the most underrated tools when it comes to gaining a competitive edge. Whether you're doing a week's worth of work in a single prompt or creating a competitive analysis to understand your landscape, ChatGPT can do it all.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions about ChatGPTUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:[00:01:17] Daily AI news[00:06:30] Example of turning a 109-page PDF into data[00:14:20] Real-world example of ChatGPT assuming a role [00:18:00] DDV plugin pack used to create data from PDF[00:22:20] Using ChatGPT for competitive analysis[00:30:00] Other examples of using ChatGPT[00:34:00] Untapped email marketing revenue, track competitor emails[00:36:40] Use ChatGPT or risk losing competitionTopics Covered in This Episode:Recommendation for Competitive Analysis PromptChallenges of Extracting Information from PDFs and White PapersTime Savings and Efficiency with ChatGPTAudience Questions and Additional Examples Importance of Adopting Generative AIKeywords:training an expert chat, competitive analysis prompt, company information, competitor analysis, website analysis, ChatGPT, SWOT analysis, strengths, weaknesses, opportunities, threats, service offering, complete SWOT analysis, best prompt for competitive analysis, white papers, PDFs, RFPs, DDV (document data visualization) plugin pack, time savings, CSV files, data visualization, complex business operations, annual reports, financial reporting, PwC, AI training, generative AI technology, Deloitte, EY, language models, adoption of generative AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the all-in-one creative AI studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Chad GPT is the most underrated tool when it comes to you getting a competitive edge.

And that's one of the things that I wanted to dive into today on your everyday AI. Welcome. Thank you for joining me. My name is Jordan Wilson. I'm your host. And if you don't know, everyday AI is a daily live stream, podcast, and free daily newsletter are helping everyday people, all of us like you and me, not just learn what's going on in the world of AI and here's all these tools and techniques you should look at, but how we can actually leverage

it and put it into play in our daily lives. And that's exactly what we're going to be talking about today when we talk about how we can gain a competitive edge using chat GPT. All right. So if you're excited, if you're joining us live, let me know. Drop a question, drop a comment. What do you want to know about using chat GPT and how you can get a competitive edge. So before we get into that, we're going to do what we do every single day here on everyday AI. We're going to run over highlights of what's going on in the AI news. We do this every day. We've been doing it for 100 plus episodes.

All right. So let's take a quick look of what's going on. So generative AI is drinking a lot of water. So we've mentioned this in the newslet. before multiple times. But a new Axios report is looking at it a little more in depth. And it's talking about in this example, how data centers in Iowa for Microsoft have consumed about 11.5 million gallons of water a month for cooling. And this is why now a lot of these large companies are now talking about environmental impact of generative AI. And this is very common across all

companies. You know, previous reports have shown that chat GBT as an example requires about 16 ounces of water for every couple dozen prompts. So as often as we're talking about generative AI, it is also extremely important to talk about the environmental impact of these new tools and techniques. Second, speaking of Microsoft, we finally have some context on what Bing Chat actually uses in terms of the large language model. So there's a lot of speculation for many months on, you know, hey, does BingChat use GPT35? Does it use GPT4? And in which does it use in which mode?

So after many months of speculation, Microsoft's head of search, Mikhail Periken, revealed on Twitter what Bing is using in those different queries. So there's different modes. So in Bing Chat, if you're using creative or precision modes, it's using 100% GPT4, which is different than kind of what everyone on the internet was led to believe. And balanced mode uses a combination of GBT4 and other models. And some of those other models include the Prometheus model as well as touring language models.

So interesting news out of Microsoft and BingChat and what all of these models are using. Right. All right. Last but not least, AI news. The biggest consulting companies in the world are racing to train employees on generative AI. So a new story that just came out less than an hour ago is detailing how PWC, Pricewater Cooper, is rolling out AI training for 75,000 workers in North America to help them incorporate generative AI technology in all aspects of their work. So they've also invested billions of dollars in doing this.

And they joined just about every other big consulting company that over the last couple of weeks or a couple of months has talked about investing billions of dollars, not just in generative AI education, but also in their own programs, in their own programs and large language models. You know, we talked about on the show last week and the week before, you know, kind of what EY, Deloitte, and other huge consulting companies are doing in terms of investing money and training their employees. So I don't know, to me, it sounds like all these employees should be taking our PPP course, our prime prompt polish, but that's just me. All right. Let's get. in. Let's talk about what we started the show. Chat GPD. And I think if I'm being honest,

chat GBT with plugins is the most overlooked tool right now for any business. And you can get so many competitive advantages just by using chat GPT with plugins correctly. I'm excited to talk about it. But first, got a shout out. Got a shout out everyone joining us. And again, if you're listening on the podcast, Spotify, Apple, wherever else you're getting your podcast, make sure to check out the show notes. We always leave links back where you can come ask questions, engage and connect with other AI enthusiasts. Today's show, I already see a lot of comments coming in. We have some of the, I'd say, some of the brightest and most talented everyday people pushing generative AI in our comments every single day in the everyday AI community. Speaking of those people, Val, Val saying good morning, glad to be back.

Michael saying good morning asking what everyone worked on this week. We have everyday AIers, everydayers, I think is what we call ourselves, working on projects together, which I love it, which I love it. Peter, thank you for joining us. Douglas joining us, Woozy, Rodriguez, so many people, Dr. Harvey Castro, get your question. In right now, what do you want to know about chat GPT and using it for competitive advantage? I have great thoughts on this, y'all. But I want to get to your questions, Val, shouting out PPP. Thank you, Val.

All right. Let's get into it right now. And I'm going to do something that sometimes I do. I'm going to start at the end. I'm going to start at the end. I've been told sometimes I drag you on for too long. So you're joining, you're joining live. So let's go ahead and start at the end, shall we?

So here's what I'm going to do. I'm going to just show you a very quick example of something that chat GPT with plugins can do. Okay. So as a reminder, there's a free version of chat GPT and there's a paid version. And if you want to do a lot of the things that we're going to be talking about today, you need the paid version of chat GPT. It's $20 a month. It is, in my experience, I don't know, any $20 that is providing a bigger return on your investment.

Right. So I'm going to go ahead and share my screen. And if you are joining on the podcast, don't worry. I'm going to do my best to describe what I have going on, but I'm doing it live. Okay. I have this chat that I've trained more on that in a bit. And I just hit enter. So you can see how long this takes in real time.

And I'm going to read it to you. And I think I may have done this on the show once before. So I'm saying, please assume the role of a financial analyst at Nike. You know, you are known for being able to read through long legal documents, pulling out most important information at the level of a management consultant and chief financial officer. And then I'm saying, for this task, read this Nike annual report. And now I'm leaving a PDF to Nike's annual report. And then I'm asking, after you've analyzed all the data, use those results.

And I'm asking for very specific information displaying the results of operations for fiscal 2019. In this example, I'm saying that we're going to be looking at multiple years of Nike's financial reports, right? So I'm asking chat GBT to pull out data from this long report. Okay. And then I'm asking chat GPT to create a CSV for me because this Nike PDF, this annual report, is 109 pages long. And there's a lot of information that is on many different pages. So essentially, what I'm asking chat GPD to do is to analyze this very long financial

document, all right? And pull out information that exists on multiple pages. That's the other thing. This isn't just on one page, right? this financial information is on multiple pages. And I'm asking chat GPT, all in the same prompts, to also create that CSV. And then let me highlight this part here. I'm also saying, finally, from the CSV that you've generated above, please also create a visual

representation of the data using a graph or diagram with the diagram plugin that is best suited for the data. Right. So now let's go ahead. Again, I did this live. And it's already done. right? ChatGBTGPT has already given me a huge edge before I can even explain to you all what's happening here. Okay, so in the body of the response from chat GPT, here's all of the results

of the financial analysis of fiscal year 2019 for Nike based on this 109 page PDF. And it is pulling accurately. Our team has tested this. We always test things exhaustively before we share than with you. All of the revenue, cost of sales, gross profits, selling an administrative expense. This information is on different pages. That's the thing. We're not just pulling. I'm not asking chat GPT in this example. So just pull, you know, one little graph. This information that it's pulled is coming from 100, 109 pages of a PDF. Okay. Now, we have in the body of the response from chat chpT, it has created a table in its response.

So yes, it does respond to me with nicely formatted text what I asked it for in this 109 page PDF. But then also in the body, it's created a nice little graph with some high level financial outputs, right? And then I have here the spreadsheet that I asked it to make. And then I can download that spreadsheet right there. And we're not done. This is all one prompt. And it's been done for much longer than I've been rambling on. Now it's saying let's visualize the data.

And it's showing me along the way the different plugins that I've used. And it says, here's the visual representation of Nike's results for operations for fiscal 2019. And I have this graph that's already done for me, okay, where it's showing revenue, cost of sales, gross profit, selling an administrative cost, all of these different financial markers from this 109 page PDF that, by the way, didn't have any charts or it didn't have any graphs in this in this PDF, I don't believe. And it's all this. there. And not only can I download all of these documents, right? So in this one response, I'm downloading a CSV. I can also go in and edit this diagram. All right. So as I take a little sip of my coffee here,

I want to just reflect on what we just did here in Chat Chhabit. And then we're going to give some other examples. In this, y'all, is why I tell everyone. you need the paid version of chat chbt because what we just did there, this is something we teach in our in our prime prompt polish course. It's free. If you want to access, check out the in the podcast notes, in the show notes. Or if you're listening, just type PPP in the comments. I'll send it to you. We do this every week. We do our free PPP training every week. And we do have our pro training coming up, which is also free. And we're going to be doing a lot more on plug-in packs, right? And I know a lot of you are very eager. I sent out the email last

week with the PPP Pro Dates. But let's talk about exactly what we did there and how in a couple different ways that you can use chat GPT to gain a competitive edge. I think you've probably already, if you're still watching or listening, you've probably understood what we did. By using multiple plugins in the same chat, it's what we teach. We call them plug-in packs. You Google that. You're not going to find anything. This is just our secrets that we teach to our everyday AI community in the PPP course.

So we use a plug-in pack. And that's where the real power of chat GPT comes. Because that analysis that we just did, it's a very real analysis, not just if you're a management consultant or a financial analyst. That is a very real project that a lot of you out there might be working on something very similar. And let me actually just tell a story. And I'm going to get to all your questions.

So please keep them coming in. I have a couple other examples, but I want to get to your questions. What are your questions? What are your biggest questions on how you can use chat? GVT for a competitive advantage. But first, let me tell a story and kind of how this, even this plug-in pack that we just talked about, which we call DDV, which is document data visualization, right? So we're going through a long PDF.

We are giving chat GVT access to read the PDF. We are giving it access in this one chat to create a CSV to write a spreadsheet. And then we're also giving it access to visualize all of this data from the spreadsheet from the long document, right? That's mind-blowing. You know, I've talked about this once or twice before, but what you can do by giving chat GPD access to information because you need to share access,

you need to share information with chat GPD, but you also need to give it the tools that it needs to perform complex business operations, right? All right, I told you a story, quick story. I used to do something similar. to this all the time, right? I spent a decade working in nonprofit leadership, and we partnered at a very high level with Nike and Jordan Brand, you know, helped create Michael Jordan's community program in Chicago and throughout the country actually called Wings. And we would actually

have to do this a lot. You know, our team would be reading long annual reports from other nonprofits that had partnered with Nike, right? So we're talking about hundreds of pages of reports, right? We were looking at financial documents to make sure that our financial reporting was in order. We would spend so much time reading through long PDFs, long white papers, long RFPs, you know, requests for proposals. We would be pulling out information, manually typing it, creating spreadsheets. And then in a lot of instances, we would be creating.

graphs from all these documents. This is literally the DDV document data visualization plug-in pack that we created was born out of my experience of doing this largely for a decade in knowing now the competitive advantage by putting this all together in chat GPT, you know, depending on the project, it used to take us dozens of hours to put together some of this. now you can cut that time down by 95%. And you're talking about getting the same kind of insights in minutes instead of days or instead of weeks. If you know how to do this correctly. That's story time.

Enough story time. I want to get to, I want to get to y'all. I want to know what your questions are. All right. And I do have a couple other examples. I'm not going to go that deep into it because, I promise this isn't going to turn into one of those, you know, hour long episodes like we accidentally did with our 100th show kind of celebration.

And were you guys here for that? Did you guys watch and listen? Let me know. I want to know. All right. Let me see. Let me see what we have going on. Brian, Brian says, if you have not taken PPP, you're probably not using chat GPT effectively.

Absolutely. It's actually wild to me, Brian. You know, all these companies, we talk to the. the top of the show, you know, uh, PWC is spending billions of dollars training its workers on generative AI. It's like, hey, hey, PWC, send them all into the free PPP course. And then you're like 80% of the way there. Leonard saying, good morning.

Thank you for joining us, Leonard. Uh, all right, Val, great question. Val is asking what are the plugins used in this prompt? It's a great question, Val. Um, so in this example that I just gave, the DDV, that's our plugin pack, document data visualization. We did in one prompt. We used three different, we used three different plugins.

So again, with plugin packs, you can only have a maximum, at least right now, I hope Open AI changes this. You can only have a maximum of three plugins enabled in any one chat. Okay. So for this chat, Val, thank you for the question. We are using the plugin AI PDF. There's a lot of plugins for that read PDFs. There's like 30.

Try them all. AI PDF, at least for us, is probably the most accurate, dedicated PDF reading plugin. So we use AI PDF. Then we use Make a Sheet for the CSV file. And then we used a diagram. That's literally the name of it, D-A-I-G-R.am. Then we use the diagram plugin. to create that nice looking diagram that I showed on screen.

And the great thing with the diagram plugin as well, you can click it, go in and make any edits to that graph in case it's not exactly what you want. Great question. All right, Leonard's saying, do the prompts designed to beat AI next time from the BCG study. Yeah, that's a great idea. All right.

Ahmed, thank you for joining us. So Ahmed is asking how to consider the impact of AI on research, development, in various fields. Yeah, this is it right here. So I'm actually great, great question. I'm going to go ahead and jot myself a note. I'm going to talk about that here in a second and how you can use chat. Because, guys, I'm not just giving one example.

I wanted to go in-depth, give one example. Take all your questions because I hope that that opened up some thoughts for you on how you can use chat GPT to get a competitive advantage. but I have some other, some other examples that I wanted to get to here in a second. Box my brain joining us from YouTube saying PPP. Don't worry. I'll send that out to you. Peter, thank you.

Hey, I think Peter's making a plug-in. We talked about it, right? So, yeah, thank you. Peter actually answered the question before I could even get to. Thank you. Leonard's saying PPP is amazing. Appreciate that. Dr. Harvey Castro saying, I love plugins.

He created his first plugin, which I've used it. It's great stuff. the Decision Matrix plugin. All right, I just want to make sure I'm scrolling through all the comments. Again, thank you for joining us. If you do have a specific chat GPT question on how you can use it to gain a competitive edge, please get that question in. And as a reminder, if you are listening on the podcast, I'm in open book, y'all.

We literally put our email. I put my LinkedIn URL. Reach out to me. Reach out to me, right? We have the free PPP course. Send all your employees to the course. All right. Let's keep going here.

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so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta. See it today at firefly.adopi.com. Thomas is saying Jordan speaking for me. I'd like to see the work in action. Yeah, I just showed you that. That our DDV plug-in pack live.

And it did, what would probably have, taken a human analyst, at least, even if, even if they are a expert in this space, just to do that one prompt I showed you, reading through a 109 page PDF, even if you're a fast reader to read through that, grab all that information, put it in the CSV, and to create a diagram, I mean, I don't know, at least 15 hours, at bare minimum, and we did it in 15 seconds live here on the show. Right? Yeah.

Thank you, Thomas. I hope I'm speaking for some people. All right. Let's talk about now. I think I got to all your comments, but drop a comment now if you want to know some other ways that you can use chat GPT for a competitive edge. But I want to talk about a couple others right now. Competitive analysis is one of the easiest and most time saving.

kind of prompts that you can run inside chat gpt. So I always said, and we'll leave a link to a previous show where we talked about plugins, but as I give you a couple more examples, you should always, always, always, always, always have an internet-connected chat GPT plugin enabled. Anytime you use chat gbt, even if you think you're not going to need it. Here's why. Even if you're on the paid version of chat GPD, if you start a new chat by default,

all of the information you're getting is now more than two years outdated because the cutoff, the knowledge cutoff for GPT4 and all GPD models is September 2021. So there's not a lot of great information you can get out of chat GPT that you shouldn't first be connecting to the internet. We've tried every single internet connected plugin. There's more than 20. So the ability to query the internet, to do general research on the internet by being able to search on its own is key.

Being able to read PDFs is key. Being able to read specific websites that you give it access to is key in other large language models, even great ones. I do love Bing Chat. Cloud is pretty good. BART is pretty good. If you give them specific URLs, they're not always going to crawl them. I've done this live on the show and I've done multiple videos on this before. But that's why you really need to be using chat GPT with plugins,

internet connected plugins. Because here's another example you can do, a competitive analysis. And we'll share an example prompt in the newsletter today that you can use for competitive analysis. Don't worry. I'm not big on one shot prompts, y'all, because there's enough bad information out there being used right now with prompting because you should never just use a copy and paste prompting. You always need to train an expert chat first using our PPP method, prime prompt polish.

But a competitive analysis prompt is amazing. You can tell chat GPT, here's my company. Here is my company website. Here are my three biggest competitors. Here's their names. Here's their websites. Now, go read all of their websites. And you can give them specific pages.

Maybe if you want to do a competitive analysis on a specific service that you and all of your competitors have in common. And then you can ask ChatGPT all in one prompt to do a complete SWAT analysis, right? Strength, weakness, opportunity threat. On a competitive SWAT analysis on a specific service offering that you and all of your competitors all offer is, I think, one of the best competitive analysis prompts that you can run inside ChatGPT.

because you give it access to all of the information it needs. And a lot of times that would take an extremely long time to do. And here's the other trick, y'all. A lot of times companies, especially if it's a very, if it's a high value service offering that companies provide, they'll usually create a white paper or a PDF selling that service. And a lot of times companies don't even know the amount of information that they have online. So like so many companies don't know.

Because again, I should always caution you when saying this. When using chat GPT or any other large language model, you should never upload confidential or sensitive or proprietary information into any large language model because all large language models use that data to train their models. However, so many companies are unaware about just all of the information that's publicly available. Right? Go ahead. Search your website in Google.

type in site colon, put in your website, type of space, and type dot PDF. You will be surprised at the amount of just PDFs out there that your company has that you probably didn't, maybe you didn't even want them on the internet. Maybe you didn't know. Maybe someone uploaded it, you know, to your CMS, your content management system and didn't know by default that search engines and large language models have already crawled it. And your competitors can probably easily find that. So I always have to say that.

But going back to this competitive analysis prompt, running a SWAT analysis on a specific service offering between you and all of your competitors, the results that you can get from that are mind boggling. And I'm going to go ahead and throw it out there. And this is why, you know, you heard all this kind of, I won't call it noise because it's real. And I've been saying it on the show since day one, management consultant companies are in trouble. if they're not already using large language models, because this is essentially what they do, except generative AI can do it so much faster. And that's why, like I talked about at the top of the show,

companies like PWC, EY, Deloitte, the biggest consulting companies in the world are rushing to train their employees on generative I and to create their own large language models because they've realized, right? They heard this early on and they're like, ah, now, this is, this is noise. This is going to go away. And then the smart companies out there have already been using this for months.

And I know companies are using tactics like I'm sharing with you now. This is their secret sauce. There's going to be companies out there that when I say this, first of all, they're going to learn a thing or two, I guarantee it, because we've been doing this, I think, more than most people, We're running plug-in packs every single day at everyday AI to run our business. And at Accelerant Agency, my digital strategy company based here in Chicago. But companies now, when they hear this, and it's like, oh, this information is out in public

because not a lot of people are sharing how to do this, right? Because it doesn't go viral, right? This podcast episode is not going to go viral. You know, but people like to share prompts. and those go viral, but you shouldn't just copy and paste prompts. You need to understand how a large language model works. You need to understand how you can give chat GPT the access it needs to do all of these tasks that are incredibly time consuming, right?

All right. Last but not least, I don't want this show to go on forever. If you do have a question, if I didn't get it in, get the question in now. And as a reminder, if you are listening on the podcast, make sure to go. ahead, drop us an email. If you want access to the PPP course, just say PPP. You don't even have to say anything else. You don't got to talk to us. We work with robots all day. We don't need to be impressed by your words. Say that. We'll send it over to you. All right. Yaddy, great, great point here, Yaddy saying, I think all major consultancies have had AI

subject matter experts for a while, but they're usually behind the scenes. I agree, Yaddy, and here's the other thing. Even a lot of AI subject matter experts, if I'm being honest, what they're trying to do is they're trying to convince their companies to build their own large language models, which they should be, but I'd say very few,

even AI subject matter experts, are taking this low-hanging fruit. It's already there. Any information that already publicly exists on the internet, give chat GBT access with a plug-in pack, and you can already do the work that you'll already be doing anyways, right? As a research analyst, as a management consultant, as whatever, a data strategist. This data, for the most part, there's so much data already out there.

You should be putting it and using chat GBT as long as it's not confidential, proprietary, anything else. even the quote unquote smartest minds in AI aren't doing this right now and it's available today right i think your AI subject matter experts which makes sense they're working on more uh longer term projects in building out um you know kind of their own uh large language models or you know wrappers around gpt4 using the open ai's API that's what they're focused on but they're not doing what's already publicly available, right? Doing these things I'm talking about on the show could save so many companies, dozens of hours, reading, researching, analyzing, automating, and writing, all of it.

Right. All right. A couple others. I talked about doing a competitive SWAT analysis for service offerings, huge, because then even from that, you can create marketing materials based off of what you. you find in that competitive SWAT analysis on service offerings. Huge. You can create entire landing pages, email sequences, ad copy, all of that, just based on that initial analysis. So if you're trying to revamp one of your main services and maybe your competitors are

gobbling up the business and you don't know why, run that analysis. Give chat GPT access to all of the information that it needs and run that analysis and then use those findings to then create better marketing, right? Because if you show chat GPT, here's all of our competitors, here's how they're marketing that service offering. Now I want to make it better, right? I want to outperform them. I want everyone, find our USP, find our unique sales position amidst all of this competitive analysis and then help us create compelling copy, compelling advertising, compelling email sequences, compelling landing page, you know, conversion elements based on our USP through that competitive analysis.

There's more. I just mentioned email marketing. That's a huge one. Here's another secret, y'all. Are you ready for a secret? I'm going to take a little sip. We're going to wrap this up soon. Don't worry.

Are you ready for another secret here? Email marketing is something that the overwhelming majority, of companies don't spend enough time doing. Why? Because they like to have meetings. They like to get 20 people in a room and talk about email marketing. And they like to, you know, say, all right, we're going to make this a quarterly goal to start, you know, restart our email marketing. But, but why?

Why aren't you just putting out highly valuable content every single day using chat GPT? Again, train it on your company voice. Don't make it robotic. That's what we teach in the PPP. One of the things. But email marketing is such a untapped revenue source for the overwhelming majority of businesses. And they don't do it because they don't understand.

They think it is this time consuming process. It's not. And here's the cool thing, y'all. So many companies now, there's companies out there that have that you can track all of your competitors, emails. There's also companies that have large databases. You know, I talked about Nike and Adidas. You can go on these websites, type in Nike or Adidas.

And you can see every single email they've ever sent, or at least since these, you know, different services have been tracking. So a lot of times, we do this for our clients at Accelerate. We use that information. And we'll look at, instead of us reading the last 1,000 emails that Nike has sent, If I was working at Adidas, I would upload those all into a single PDF. And I'd probably do it for Under Armour and Reebok and, you know, whatever, whoever my other competitors were, I'd put it in a PDF, each of them in a PDF.

And I would say, hey, chat, GPT, here's what we're trying to do. You know, we're working two quarters ahead. We're trying to launch our, since it's fall already. We're trying to launch our spring line, you know, our spring 24 line. Here's every single email our competitor I sent. Analyze all of their early spring promo emails. Give us their marketing angle, their tone of voice, their sales, their promos that they're running, right? We're talking about you could do thousands of different spring apparel marketing promotional emails from a dozen competitors just by saving all of these as PDF, giving chatchip access, and then saying,

hey, outline me. Give me 10 different ideas on a 10-part email sequence, on what we can do, give me dates, give me everything. I don't want to start selling. I want to provide education. I want to provide information. I want to provide entertainment. I want to create a 10 email sequence before we even start or launch our new spring

line, right? And look at our competitors. Look at the techniques that they're. using and then help us build that out and help us replicate it and put it in our company's voice, right? Because then you can upload your best examples of email marketing and say, all right, now launch us. Yeah, I like option three. You gave me four different options of a 10 email sequence. I like option three. Let's start writing those emails right now. Right. I'm going to wrap it up by saying this. And I've said this before. Most people in most companies are barely scratching

the surface of chat GPT. And one of the main reasons why is because no one knows how to work with a large language model. You know, people just think, oh, I'm going to find a great prompt online and I'm going to copy and paste it and here we go. That's not how a large language model works. I know I, like, I know I kind of rant on this sometimes. And I'm like the old AI man on the porch shaking his fist.

But if you're not using these techniques, I just talked about inside chat GPT, you are asking to lose business, right? I've referenced this a couple of times. We had Corey Warfield on a show a couple of months ago, great AI mind. He said if companies aren't already using chat GPT, you have 18 months until either you go out of business or you lose so much footing against your competitors that you won't be able to catch up. If you're not already using generative AI to do so many of these things,

it comes to just competitive analysis, research, right? Because these tasks are time consuming, right? If you so have a team of people reading 100-page PDFs, stop it, stop it. You obviously need to know how to use a large language model correctly. And you always need to test up front. That's what we tell people, test up front that your processes, that your plug-in packs are properly accessing and analyzing the information, but then stop. Stop wasting your time.

Stop working like you're from 1999, right? It's like those companies that try to push off the internet. You can't push off generative AI. You can't push off using chat chv-d-d-d-pd plugins in your business. You can't delay any longer not getting a competitive edge by using chat-GPT. I just laid out the blueprint for y'all. Now you need to go put it to work for you. simple as that.

We help y'all. We teach you this for free. All right. So as a reminder, thank you all for joining. Please. If you haven't already, why have you not signed up for our email newsletter?

Like talk about things that are like, oh, whoops, you're not using chat chbt for these reasons. You're not giving it access to analyze your data, to analyze all of these long PDFs and help you create documents. You're behind.

If you're not reading our daily newsletter, that's free. you are behind. I guess since I'm already in rant mode, I'm going to end it with this rant. Our email newsletter is by far the best in the game. And I'm not saying that out of bias.

I'm saying that because we've ran what I just told you all. We've ran all of our competitors' email newsletters through chatypt. And we spent time. And guess what? All these other AI companies, all these other AI newsletters,

whatever, they're all putting out the same content. No one is telling you, everyone's just saying, ah, here's 50 new tools. Here, look at all these shiny things. No one's telling you how you can actually leverage generative AI in your business and giving you tactical examples, bringing you expert guests on every single day, breaking all of those insights and golden nuggets down and telling you how to use them step by step. No one else is doing it. We are. If you don't want to get left behind, if you want to outsmart the future, go sign up for that email newsletter.

Came off with Hot Takes Monday, y'all. Normally I saved those for Friday. Thank you for joining us. Sign up for that email newsletter. Join us the rest of the week. We have some amazing guests. We have some amazing guests. I'm actually going to go ahead and plug our show for tomorrow

because I'm extremely, I'm extremely excited for tomorrow's show. Right? We always bring on on everyday AI. We always bring on, yes, everyday people. but we also bring in big names from big companies to break it down for all of us, right? To keep it simple yet effective. All right. So if you guys didn't know who we have coming on tomorrow,

I want to do a better job talking about upcoming shows because we have some amazing guests. And I got to give them a little more shine, a little more shout, right? So tomorrow, you see I have on the screen here. Sorry, got a lot of DMs going on. But we have Rowley Seth, who is the senior product manager at Microsoft. That's right, that Microsoft. Coming on and talking about the evolution of product managers and how you can use AI storytelling, AI-powered storytelling to better run your product management.

It's going to be an amazing show. Thank you for joining me. I hope to see you tomorrow and every day on. every day, AI. Thanks y'all. Meet Firefly AI assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution. Stand control with the ability to

step in and refine at any time. See it today at Firefly. adobe.com. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind.

Go break some barriers and we'll see you next time.