AI & Inbound: No, the Robots Aren’t Taking Our Jobs

Curt Anderson  00:11

get the party started here so we got people rolling in. We’ve got Federico is here today. Happy Thursday Janessa fill up clay. A clay. How are you Phyllis is here my different Phyllis? Phillip All right, got Jesse’s here. Kylie’s here. All right. How’s everybody doing? Happy Thursday, if you want to drop your LinkedIn website, whatever social media you have, drop it in the chat box, let you know, let us know where you’re coming from great opportunity to connect with people. And we’re gonna get started. You know what? We’re gonna get started right now. How’s that? So, Julie, my friend, Julie Warner. Well, hey, there, you want to give a little kickoff?

01:08

Sure. Um, first thanks to Curt and Holly for bringing this, this program to essence of all of our clients and all of our friends. But for those of you who don’t know Purdue MEP, there is a MEP center in every state of the US and Puerto Rico. And we’re here to help manufacturers help you with overcome any problems whether it’s something like growth services like this where you need marketing assistance, or Lean leadership training, Six Sigma, all the good stuff. We help with everything. So I will drop our LinkedIn page and have a chat. But feel free to get ahold of us. So thanks Curt and Holly. Oh,

Curt Anderson  01:44

absolutely. Thank you Julie and Michelle, sir today. Hey, Michelle, happy Thursday to you thank you for joining us. So I will we will dive in my name is Curt Anderson What an absolute honor and privilege to be here today appreciate everybody taking time out of your busy schedule. And so we have a wonderful fun filled program and just to kind of recap I’m so I’m letting people in so I’m multi Julia I’m not the best multitasker. Just ask my wife but I’m multitasking right now. But we’re gonna get things rolling. So again, this is my privilege and I just want to share as folks are pouring in Julie Michelle are here from the Purdue MEP. If you have not connected with the Purdue MEP, we strongly encourage you invite you welcome you to do so they have just a wealth of resources. They are eating, drinking, breathing, sleeping, helping manufacturers throughout the great state, the wonderful Hoosier State even though we’re at Purdue, right, the wonderful state of Indiana and so certainly encourage you to reach out if you’re coming to us from another state outside of Indiana, there is a manufacturing extension partnership near you. We strongly encourage you welcome you invite you to reach out to your local MEP, they just do such amazing work. So it is my honor and privilege to introduce my dear my bestie. We have just a powerhouse speaker today for you guys. Her name is Holly McCauley job. She comes to us from the Keystone State. She’s in a great state of Pennsylvania. Holly happier. Thank you for joining us.

03:06

Happy there Baker. Happy Thursday. Julie. It’s nice to be here with all of you. I am in Pennsylvania, but it’s been feeling like Florida these days. I don’t know if anyone else is on the east coast with all these heat waves. But it’s like 95 degrees and 100% Humidity it feels like it’s we’re not used to this over here. But I’m really excited to be here and take some time to talk about AI and content marketing with you guys. I’m super excited. So a little bit about me and why Curt and Julie have asked me to be here with you guys today. So I am COO and partner at quarter Quality Inc. We’re an inbound marketing agency for manufacturing companies. I started as a content writing intern about six and a half years ago. So living and breathing in the content space is all I’ve done for my career. And last October I wrote a book called inbound immortal the undying art of attracting customers. And that is a deep dive into all that is inbound marketing. My goal was to write a how to guide for manufacturers on how to get started on an inbound marketing campaign if they’ve never done so before. So if you’re intrigued by some of the stuff that you hear today, and anything in there seems like you want to deep dive further. That is a great place to do it. The Shameless plugging is over. That’s all I’ve got for that I swear. And a little bit more about me. I have two cats. Their names are Wilson and wasabi. They are stone here. They’re incredibly misbehaved. And I’m in the office today so that they can wreak havoc behind me from home. And my favorite band is Mount joy, also from Pennsylvania and the East Coast. I don’t know if anyone else enjoys them, but they’re my absolute favorites. And just a little bit more about product quality and why I feel I’m a good fit to talk to you guys about AI. So we’ve got 30 Plus retainer clients all in the manufacturing space. And we’ve got a team of 22 dedicated marketers who are helping those manufacturers day in and day out accomplish their marketing, and our team has had the challenge privilege in the past year of experimenting with how to use AI technology to make our jobs more efficient, more effective, so that we can continue to deliver the most value possible. So that’s really what I’m going to focus on today is sharing those tips and tricks with you guys. So that if you don’t have a team of 22, manufacturing marketers with you, you can do some of this to help improve your own efficiencies. And I’m here today with Kurt Kurt, if you want to talk a little bit about our history together. Sure. And

Curt Anderson  05:23

you know, and Holly, you know, again, just I’m like the proud uncle Julie, you know, so I’ve had the, you know, so I’m not a young guy. And I know, there’s a little surprise there, right. So but I’ve had the privilege I’ve been working with the team at protocol 80 since 2013. I was there when when Holly joined the team about six years ago. And so again, she just wrote a book, it’s a phenomenal book. As a matter of fact, I’m going to drop the book in the chat. Speaking of the chat, if you just joined us, I encourage you invite you welcome you, if we were all in person, we’d be hopefully high fiving handing out business cards, I would really encourage you, it’s a great opportunity to drop your LinkedIn or drop your website, let people know you’re here. This was Julie, I think a year ago, we had one of our we did a case study with one of our Purdue clients. And actually they picked up a new customer by by coming to the webinar. So this way, this is a great, you know, treat this as a networking opportunity for everybody. So let’s know what you’re what’s going on. We’d also love to make this interactive. So you know, if you want to share where you’re at on AI, what is AI intimidating, overwhelming, you know, drop any questions, we want to make this super interactive, we will let you know, we know how precious your time is. We’d like to have this as valuable as possible. We brought in a wonderful expert here with Holly. So yeah, Holly, I’ve had the privilege of working with with your team at protocol ad when you guys started, I think you had three employees. I’ve had a front row seat, watch it grow to 22 employees, and just fierce advocates for US manufacturers. That’s all you focus on. So it’s not like one minute you’re working in retail or other industries. You’re just very passionate about working with manufacturers. And so it’s just, it’s great having you here today and keep the party rolling. What do you have next?

07:01

Tech? Yeah, so here’s what we’re going to talk about today. So we’re going to spend some time defining AI because it’s this big, nebulous cloud. And so we’re gonna narrow our focus a little bit to where I believe is the most productive area for marketers to be focusing on harnessing AI right now. And then how to actually do that specifically for manufacturing companies in a niche technical space. We’re gonna talk about some helpful use use cases, some ethical considerations, next steps after, you know, I throw all this information at you what to do with that. And then we will have time for q&a. As Curt said, he’ll be taking a look at the chat throughout. So if there’s something you’re like, hold on, Holly, I don’t know if your second grade teacher ever told you. But you talk kind of fast. Could we slow down and and walk back through that again? Yes, I was told that and have been told that since I will try and go slow through this. But if you want me to stop or rehash anything, we can absolutely talk through all of that. I will also say as I mentioned earlier, I’ve got a team of marketers with me, and a lot of them are way smarter than I am. I’m just the person who was chosen to talk to you guys. So if there’s a question I can’t answer, I would love to pair you with one of our experts, one of our solutions developers, who may be a better bet at helping you solve a complex problem. Okay, so then some general disclaimers, pretend this is in fine print, because that’s where it would be if we were entering a contract together for this ride today. I’m a marketer, not a computer scientist. So a lot of what I’m going to be talking about today is from the lens of how to use these technologies for marketing, I’m not going to get super deep into the coding, how it works, the most optimal ways to harness it on the most technical level, just the ways that we found are practical and helping marketers save time. Information on AI is changing literally daily. So it’s really important to seek out resources that are talking about this kind of thing. Not just attend this today and not revisited again for a while. Just because the new updates are coming out so rapidly, it’s important to stay on top of my number one recommendation if you are super in to AI and into marketing and you want to be on the cutting edge is a marketing against the grain podcast. That’s with Kip honor and Kieran Flanagan, of HubSpot and Zapier, and they do a great job. My colleague, Josh and I listen to this every single week and we nerd out about all of their theories. So that’s a great space to just get your daily dose of AI or weekly rather. And everything here is comprised of my informed opinion. So different agencies, different marketers, different organizations are trying to tackle AI in the best ways that we can. So what I have here is what we’ve comprised the best tips and tricks for our agency. I know that they’re working because I’ve seen them work for our team and our clients in real time. But it’s totally okay to disagree with me. If you see something that you might be doing differently that’s working. Let’s talk about it in the chat if you found a different resource. I’ve tried to tackle this and get it into an hour session as best we can. But I’m certainly not the only authority in this space. Just one of the people trying to help give you some tips And with that being said, we’re going to focus on content marketing best practices that aligned with inbound marketing and modern SEO. So inbound marketing, if that term is new to anybody, is the idea of providing helpful content and resources on your website to attract your customers to you. So the analogy I like to use sometimes is old school sales can feel very much like that guy in the mall chasing you down trying to rub lotion on you from a kiosk. The goal of inbound marketing is to be producing information if you’re a lotion selling company, to tell people why they should be using lotion on their skin instead of oil or something else and pulling them to you rather than bothering them where they don’t want to be. So in the vein of creating helpful content, whether that be social media, paid ads, blog posts, podcasts, videos, everything that lives under the umbrella of content, today’s session will be focused on harnessing AI, and the best way to use it if you’re in the manufacturing space. Okay, that was the fine print, let’s talk about how we’re defining AI. Here’s some important terms to know today. There’s no pop quiz at the end, we don’t have to memorize these. And like I said, I’m not a computer scientist. So I only have a very fundamental understanding of these as well. So the first one being artificial, artificial intelligence AI itself, simply that’s the field of computer science that empowers machines to emulate human like learning, decision making and reasoning achieved through advanced algorithms and electronic circuitry. So that is just what is fueling the AI to give you what you want is computer science data. And it’s trained on humans and human behavior. The algorithm I’m sure if we if I could see you all, and I said, raise your hands if you’ve heard about the algorithm, whether it be Google algorithm, Facebook algorithm, right, like we are haunted as marketers by these algorithms. But simply on algorithm is a step by step set of instructions that computer software program technology is following to perform a task. And as humans, we don’t necessarily get a rulebook to those algorithms. So Google doesn’t tell us here marketers do exactly this to follow my algorithm, we’re less kind of guessing. AI is like a chat GPT, that kind of thing. They follow an algorithm as well, that precise set of instructions. So there’s a good way to use these tools that work with their algorithm instead of against it. Generative AI is the field of AI that’s been getting a lot of buzz lately, if you’re in the marketing space, the SEO, the content marketing space. So generative AI is the kind of AI that creates new content on its own, without needing explicit human instructions, with a focus on creativity. So under that umbrella, the most popular one we’ve seen is chat TBT. So we’re going to focus a lot on chat TBT. Today, although there are ton of generative AI LLM large language models, like cat TBT, that could be used for this chat. TPT is just the most popular in general, so there’ll be kind of my scapegoat, and my general example for today’s purposes, also, because it’s so tacky btw is just a type of language model based AI. It’s called GPT, because it uses generative pre trained transformer architecture, and is trained on generating human like responses based on what it receives. So it falls into the broader category of natural language processing, and conversational AI. And its primary function is to provide textbooks text based responses in a conversational manner. I swear, this is the most boring and technical we’re gonna get, I just want to make sure we’re all on the same page going into this because when this all started coming out, I didn’t know what the heck any of this was. So I want to assume at least a couple of you out there don’t know either yet. In machine learning is the way a computer learns from data and makes decisions without being explicitly told what to do. And then deep learning is the type of machine learning where artificial neural networks with many layers are used to find patterns and information within the data. It’s great for recognizing images, understanding speech and working with language. So understanding fundamentally, what tax UBT is, I think is an important stepping stone to understanding how we use it. So knowing that it is just a machine that is trained on a certain set of rules, and is made to emulate humans will help remind us of some of the important things as we get into using it. So some more parameters. These tips are meant to be accessible and user friendly. So using free tools, like catch up T, there are millions of AI tools, agents assistants out there right now some specific to sales, some specific to competitor research, we’re going to keep this super general tips you could walk away with today and use right now with ChatGBT. And we kind of talked about this stuff earlier. So they’re focused on written content efficiencies, and AI around is around us all the time and we don’t even know it. So we’re going to talk about the best way to harness that. So I’m sure if you’ve been in the marketing space for a while you’ve heard AI is totally replacing content writers, right? I mean, I know I’ve heard that Curt Have you heard that floating around in the in the marketing space? I

Curt Anderson  14:57

hear all sorts of different things. So I think everybody’s all over the board. Right, Julie, it’s, you know, I think some people are afraid of it, some people are embracing it, some people are finding it for a shortcut. We’ve. So I do a little LinkedIn live show love to connect with everybody here on LinkedIn. And what we do is every week, Holly was just a guest last week, Julie’s been on the show. So we bring in subject matter experts, and we’ve been bringing in a number of AI individuals that are experts in the field. And it’s just it really is mind blowing of the efficiencies that can be captured. You know, so again, of, you know, when we dispel the myth, and we look at every technology for hundreds of years, when you know, when cars first came out, everybody’s like, what are we going to do with our horses? Right? How on earth what happened to our blacksmith, right? So I think if we just embrace it, and and that’s our point today, Holly, how do we create it is just a viable, valuable tool to make our lives better, more efficient, more productive, right?

15:53

All right, that was a perfect segue. It Like It’s like we’re totally in sync. So generative AI is not going to replace content marketers or marketers in general or sales people. Here are some analogies from some amazing thinkers in the AI space who are a bazillion times smarter than me and whose courses I took to inform my understanding of AI. So in handling of marketing prospect says generative AI is like a microwave. So at least at this point in time, generative AI is not capable of thinking of any new ideas or thoughts or concepts because generative AI is like a librarian who’s read every book and memorized it. So in terms of what they’ve learned on what AIs are trained on, it’s what we’ve produced so far. So our books, our Reddit threads, our Twitter’s our blogs, all of that stuff is what’s been fed to AI. So while there is tons and tons of research and promising things coming out about how AI may have the capability at some point in time to do things like maybe find the cure for cancer and come up with new ideas by finding patterns that humans aren’t capable of. Fundamentally, for the most part, things like cat GPT are taking what they already know, from humans and reconstituting it to give you maybe a new creative idea, but mostly stuff that’s based on what humans have done so far, a wing person to help with brainstorming and ideation, a utility player to make technical edits and accomplish menial tasks in the fairy godmother to simplify complex research and help generate subject lines, again, thinking exclusively in the realm of content production, and that sort of thing. Also, something I thought was interesting as I was putting together this session, of course, about, you know, technology and the future, and we don’t have a microwave emoji, which feels very behind. I just was like, I have to go with this bowl of soup, which looks lovely, but it’s not a microwave anyway. So here’s why I say that I don’t believe generative AI will replace or can be like a content marketer, especially a content marketer in the manufacturing space. The first and foremost, one being that AI does not have to give you accurate information. I don’t know if anyone has seen the Google results that AI has been coming up with lately. But I’ve seen tons of examples online of people googling How should I stick in my pizza sauce and AI being like, have you tried Elmers glue, and things like that, that just AI does not have to give you accurate information. And that’s a little silly and a little funny when we talk about you know, all of those different suggested results in Google. But it’s not so funny when you’re looking to create a technical piece of content. And maybe as a marketer, you don’t understand the deep dive into the technology in the same way that the engineers at your company do. So you you know prompt AI to give you a blog post about different specifications based on let’s say, different stainless steel grades and AI might be giving you false information and you’re not checking that you don’t have the knowledge to know that. So then you put that on a blog and your company doesn’t look so hot. It looks like you don’t know the differences even though your engineers do your product development team does your manufacturing team does. You as a marketer just might not be as familiar with that. So this has some really, really big implications, the more technical spaces we get, it does not have to be accurate. And we’ve even had some fun and it’s not fun. It’s a little dark but experimenting with catchy BT, Claude, Gemini all the different eyes, pumping them with the same questions and seeing what they spit back out and it being different across different AIs. And not accurate it’s pretty scary. When we think about replacing marketers or replacing all of our human written content with AI written content. Do not think be creative, present new ideas. This is something that there is certainly I welcome pushback on because how you define new how you define creative kind of depends on each individual person. But I will say in the blogs that I’ve seen when it comes to creativity when it comes to genuine humor. Our content writers are still just going to be smarter and funnier than the AI is, at least at this point in time. Doesn’t understand nuances and slang. So again, This is funny in the space of you know sipping the tea, if you want to say that for, you know what the Gen Z’s say instead of gossip, maybe AI is not able to pick up on that. But again, if there’s a common slang slang term, a common shorthand in your industry, and I might not be able to pick up on that either and be giving you misinformed result, or at least least lead to a frustrating user experience. It does not. And can I cite sources accurately, it gets a little better at this every day, week, month that passes, but it’s still not great at it. If you have had GBT generate your blog and you ask, where did you get the information for this? It will give you some websites. But it certainly isn’t going to be the holistic overview of where it got all of its information from, like we said before, think of it as a librarian that’s read every book in the library or even think of it like you, if I asked you, Kurt, do you remember the first time you learned the difference between a book and a novel, you’re not necessarily going to be able to cite your source for exactly what that was, or when you learn to conceptualize what the color blue was, it’s almost to a point impossible for AI to figure out exactly where they got all this information. Again, I underscored this here because it doesn’t have to give you accurate information. And to me, that is a very important shortcoming. Especially if you’re going to try and utilize AI without any type of technical copywriter going through what it’s producing. It doesn’t perform well, with complex subject matter. We’ll touch on that in a little bit. And it’s kind of a nothing burger, this quote comes from one of our senior content writers. He said this when experimenting with it, and I’ve found the same and anyone who has maybe tried to generate a blog post or something like that, using catchy Beatty might have seen this as well. It’s really great at giving you all these like super sexy analogies and metaphors and adjectives. But when you read through it, you’re like, Okay, but what did this blog helped me with? What problem did it solve? There’s like three sentences in there that are this day that are maybe genuinely helpful, helpful. And then it’s filled with all these adjectives you haven’t heard of since your sixth grade spelling test. And that can be helpful to get you unstuck maybe to get you moving if you’ve had some writer’s block, but ultimately isn’t going to produce the best article for your soulmate for your personal enough for the person that you’re trying to help online. So I just kind of spent the last I don’t know how many minutes six, seven, sort of Pooh poohing AI. And that’s not what we’re here for. Those are just some general, general tips and ideas when we talk about the idea of a total replacement of marketers. So let’s talk about how AI can help marketers. So I’m gonna give you a whole list of specific use cases later on as well. But here’s some general, really high level use cases where AI something like a generative AI tool can be super helpful to see marketers along. So analyzing chunks of text that you input for tone, meaning context, missing information, and more. So putting something into a chat TBT and saying, Okay, if I was to be an engineer reading this guide, what would my questions be next? And having chat, GBT tell you three things that the guide didn’t cover. And then that can inform how you should continue to work off of that piece of text, or saying, Hey, I just wrote this blog, does it accidentally come across as condescending, having chats up to check your tone can be something really great, helping you create derivative works of your own works. So like Kurt mentioned, I recently wrote a book. And writing a book is time consuming, and not very easy, especially when you don’t leverage AI and you read it from the heart. But what I did was I worked with Chat GPT, to create derivative works of that book to pick to place on the protocol at blog. So saying, using only the text in chapter one of this book, create a 350 word blog post about this. I know AI is using my own words, my own work to just kind of reformulate reconstituted, maybe a little bit like a microwave, and give me a blog post. And then I don’t have to spend time figuring out now how do I read through this and figure out how to distill this down. I also know from an ethics concern perspective, I’m the person who wrote the blog, I’m the person working with the GPT. I can gauge whether or not they’ve pulled in completely inaccurate information from a different source or if it did a true good job of just creating a derivative work. A brainstorm and research assistant. There’s an asterisk here because again, catch up does not have to give you accurate information. But it certainly can be really helpful getting started. So throwing stuff at the wall using it as a non human brainstorm tool. A lot of times when you’re stuck, just having something or someone else there to prompt you, even if they’re giving you a bad idea can get you unstuck, rephrasing or rewriting your work to accomplish a goal proofreading your work in a specific style format form text generation, like meta descriptions and email subject lines, and image and program generation as an iterative work. Again, something that’s really important here is having a lot of the human components there and not just generating things from the clear blue sky taking it and putting it somewhere. So let’s talk about long form content. So you’ve heard me say a little bit now not to just take a blog post and plop it on your website from Have TPT. And why is that? What how come because we’ve heard for a long time that Google wants you to be publishing Google wants you to be producing. And if you’re a solo marketer, if you know you’re the only person at your manufacturing company who has the time to do any marketing, it can be really tempting to be like, well, something is better than nothing, right? Kind of. So eat. What is it? You said, on Friday, Kurt, when it came to eat? You had a great phrase there. What was it? Well,

Curt Anderson  25:31

that was actually my co host, Damon has come up with a hysterical line. He calls it the Google eats a bucket of love. How about that for? Let’s pop quiz, Julie. So everybody, jot that one down, right, we’re gonna have a pop quiz at the end, the Google eats bucket of love. And so Holly wants to explain to everybody what is it’s lunchtime. So everybody’s probably a little hungry. But what are Google eats?

25:56

So Google II is what’s used by the Google quality raters to determine whether or not a piece of content is good and worthy of serving up to Google’s audience. Because remember, above all else, what Google wants to show in the search engine results page is stuff that people are clicking on spending time on, and finding answers to their solution. Because if Google was constantly serving you up, poor fit results, you’re gonna try Bing or DuckDuckGo, or something else. That’s Google’s logic. Anyway. So what Google is looking at pieces of content to meet are these four things, experience, expertise, authority, and trust, eat for short. So it’s really important that every single piece of content that you’re publishing, whether it be a video, a podcast, a blog, an article, a website, page, anything that you want your persona, your soulmate your customer to find, it’s really important that you can say with a high degree of confidence that it is showcasing experience, showcasing expertise, projecting authority and instilling trust. In the problem, sometimes with lots of generated blog content from something like a check up team is that can start to fall apart in a couple of these core areas. So if we tackle experience, if you haven’t been blogging before, and then all of a sudden, you take to your blog, and you’re pumping out five, six blog posts a day a week, and they’re kind of those nothing burgers, they’re not looking so hot, you’ve that Google looks at that and says, I know that there wasn’t an engineer writing those blog posts, because in several different signals that Google is using, it’s just not checking the boxes, right. And same with expertise. So what we’ve seen is so important, now more than ever, is that the person producing your content has other social signals that they’re giving Google that links all of that together online and prove that there’s a person behind it. So even if you’re a marketer, Mary, writing for engineer Elizabeth is important that engineer Elizabeth has a LinkedIn presence, where she’s sharing these articles, has a podcast where she’s talking about some of these things and sending those signals to Google that says engineer, Elizabeth is a real person. Here’s her author bio, she’s writing a technical blog, once a week, all of those things that seems really silly, and it feels like overkill. But these are the type of things that are separating that truly good, helpful content from some of that spammy content. And as Google continues to roll out their algorithm updates, this more than ever is what they’re focusing on to improve those high quality results. authority and trust are really similar. All of these things kind of play in the same space, basically, is a real person writing this? Is it helpful? When I arrive on the website? Is it thorough? Is it detailed? Does it seem like someone went in and generated an entire website’s worth of content? Or does it seem like someone really thoughtfully tried to help solve people’s problems and produce good content? Now more than ever, that is what Google is looking at. So what’s really important here is I’m not saying you can never ever generate long form articles using something like cat GPT. What I’m saying is, it shouldn’t necessarily feel easy, it should take some serious massaging and consideration from whoever that content writer is, whoever that marketing person is. So there should be a detailed outline and research that you’re feeding to it. So you have a good idea of what you want to tackle in this blog. What keywords you want to use, what you want to talk about what problems you’re solving, it goes a lot further than just a quick prompts generation, it should be a really long outline that you’re providing GPT with, and basically asking them to just loop some of those threads together into words, a comprehensive prompt generation, we’re going to talk about prompt generation a little bit. And then also some thorough editing because what’s really important is that it looks feels in is created with a human influence, especially in b2b Technical spaces. A little more on this, this is by Christopher pen, who’s the chief data scientist at trust insights.ai a big big thought leader in the space of AI. This is his graphic. I attended a session of his And I thought he put this in one of the most wonderful ways I’ve ever seen in terms of using AI specific to nice b2b spaces, industrial manufacturing spaces. So what we’ve got here on these different axes is commodity and generic versus creative and expert for types of content slash industry you’re in. And then writing in generation versus editing in comparison. So in the commodity and generic space, generating a blog post generating long form content, you’re probably gonna get something that’s okay. It might be a little bit of a nothing burger, but you’re gonna get something that’s still going to somewhat work. So if you’re trying to generate, what are the 10 use cases for toothpaste write me an in depth blog about that. That can be he’s gonna do okay. Why because CBD has a lot of information about toothpaste from the world as a whole as a whole. It’s a commodity, it’s fairly generic, they might flub here and there, they might use so many adjectives that just makes you cringe. And you’re like, Okay, I’ve got to take some of those out. But for the most part, they’re going to create a decent blog that you can work with. And then same thing, if you’re asking catchy Beatty to edit a blog, or provide you a brainstorm or a summary of something about Tuesday’s again, that is a perfect use for GBT, they’re gonna do a really good job of that distilling that down into a form that you can use. Moving into the niche, the creative, the technical, if you are looking for something in that space, to edit, to synthesize to summarize a more technical document, that’s also a pretty good use of chat, GBT, they’re going to be able to put it in human terms, there might be some inaccuracies here and there, but if you’re using it to generally help you along and save you time, you should get a pretty good result from that. But if you’re trying to generate creative or expert content using tech UBT, that’s where you’re going to run into an issue with quality with authority, generally, with what you know people are looking for and search engines are looking for. So this is a really great, in my opinion, is a great illustration of where effort is and where the results are when using GPT in these different ways. Curt, this feels like a good point to pause on. Do you have anything you’d like to add or questions that have come up or anything that you wanted to touch on before we go into some more use cases?

Curt Anderson  32:19

Yeah, this is fantastic. So if you guys, if you want to take a screenshot of this ready, Julie, Michelle, let’s smile. So everybody takes a screenshot, right? Okay, so get a screenshot of that, number one. Number two, somebody asked about slides. We won’t be sent out slides, but we will have the replay. And then let me just say this, shamelessly, Holly is dropping just such I’m like I’m taking tons of notes. Holly, this is just phenomenal. Julie, what I’m going to do is shamelessly I’m going to drop into chat box is my website. And so we do these little fun jam sessions every month. And so a lot we’ve covered a lot of topics that Holly’s hitting on right now, where we bring in other subject matter experts. If you go to my website, it’s in the link is in there. It’s b2b retail, and just in the search box, just type Purdue, just type out Purdue and you’ll see all the webinars that we’ve done. We’ve archived all of them. We have LinkedIn experts. Last month we did a session on doing LinkedIn lives and how that can be AI. So every month we’re doing different topics in how he was on our was back here in February covering a wonderful topic. So we have a lot of programs here. So there was a question about slides we will send a replay Julie probably like Monday ish or so. So that will go out to Holly’s point here. One thing that I would love to share a tagline that we are using shamelessly with anybody and everybody will listen is the line. How do you teach the competition? How do you out teach the competition? So how we just we did a live workshop where one of the New York MEP last month and somebody said well, how do you come up with your topics? We I narrow it down to this I want to know she use the word soulmate? Who’s that ideal customer? Right? How do I know? First I want to know who am I? Who am I speaking to? And number two if I constantly if this is my Northstar, how do I hope that ideal customer how do I help that soulmate? So if I just strive to out teach the competition and just I’m always in my mind, alright, how can I help my ideal customer? That that’s a such a winning formula and then tied in with what Holly’s describing here? You’re gonna just absolutely crush it, Holly, keep the party rolling, please.

34:22

Awesome. Thank you, Curt. So I’m sure some of you are thinking right now. But like, how do you do it? Holly, okay, I know I’m not supposed to generate blog posts. You’ve given me some ideas, but like literally how if I’ve never worked with had CBT before, how do I arrive there and work with us in a way that is actually helpful for me. So what you need to get really good at is prompts generation and this was generated by TBT. I’m not going to read it but essentially what prompt generation is is the art of creating a specific input, that’s an instruction or a question into the GPT so that you’re getting a contextually relevant response that you want the better you get at this, the better your results are going to be. So here’s some general prompts. So these are kind of five ways, like really simple, easy ways to start to work with GBT. The first one being a simple command. So telling the AI to do something specific. This is gonna sound silly, but I’m sure I’m not the only person who toils over sending stupid little emails to my co workers. Are my clients about stuff like an email to take PTO? I’m always like, Okay, let me take out five exclamation points and put a period there. Should I do a smiley face? Should I do no smiley face. And just, I can’t tell you how many hours over the course of my six and a half year career I would have saved if I just go to church UBT. And I’m like, Hey, tell, you know, my Boston, I’m sick. And write it in a way that’s professional but friendly. Fam, little stuff like that doesn’t make a difference. And a simple command like that is a great way to start to get your feet wet. If you don’t want to start playing with the super technical stuff yet. So a partner prompts. This is super fun when you know you’re gonna go back and forth a little bit. So this is one suggest five ideas for blog posts about stainless steel and marine applications that’s unique. Do I recommend taking that and being like there is my contents map for q3, I’m going to do no other research, I’m not going to look into anything else. No. But do I think this is a really great place to get started. And kickstart some of that research, I absolutely do, especially if you’re just sitting there like, Oh God, I need another cup of coffee, my DoorDash isn’t going to be here for 20 minutes, let me just start to bounce some ideas around text analysis. So providing copy for the AI to look at and respond to. So again, a great example of this is read this email and analyze the tone. Another really great thing is if you are producing technical content, asking the AI what reader level what level of expertise this is at to make sure that if you’re trying to tackle or target a certain persona, a certain soulmate who maybe is a little bit more in the awareness stage, they need a little bit more education, you’re not playing in a field so far above their heads, they’re not even going to know how to read through this article. That’s a great example of that text revision. So read this copy and rewrite it in the file of a press release. Again, that’s kind of something that that’s generating content short, but it’s fairly low hanging fruit, not pretty technical doesn’t necessarily mean someone toiling hours over a press release to announce that you were given a community award. If that’s something you’re not currently writing press releases about. Here’s a really quick good way to get an article up about that that again, low hanging fruit, not technical, you don’t have to worry too much about all the stuff we talked about earlier with long form content. derivative work generation, we talked to the example earlier about writing a book and then using chat TPT to help you get derivative works of that. But also, if you have existing articles, and you’re like, God, I need to up my social presence. But sitting here writing a million LinkedIn posts who has the time feeding that blog to chat up tea and asking it to write LinkedIn posts for you. Again, you’re using this in a generative way, but lower hanging fruit, you don’t have that worry about like, am I plagiarizing something on accident, because chat gave me something and can’t give me a source? Is this a technical piece of information that’s factually incorrect when you’re working with a LinkedIn post, the bar is just a lot lower than it is for an in depth article or website page or white paper or something along those sorts. And so when we get into prompt generation, the more specific your prompt, the better your results. So an example of this would be you’re an engineer at a wool forming company who’s providing a resource on different materials in their application considerations. So a manufacturing engineer at an OEM provides six ideas for FAQ to touch on this in a resource. You’re not asking it to write the blog, but you’re asking it to come up with those frequently asked questions. And for librarian who scoured the whole internet, they’re probably going to be fairly decent at giving you some FAQ. So this is also where I would say a screenshots, feel free to take it I think this is probably helpful as well, this is again, just the more examples of real life use cases. So another great one for anyone who’s working on marketing in the manufacturing space, but maybe isn’t the most technical engineering, manufacturing mind in yourself, helping translate complex technical documents into readable English, not proprietary ones, we’re gonna get into this a little bit with ethical concerns. But if you just have a sheet that is incredibly technical, and you know, it’s not proprietary, but you’re like, what does this mean? This feels like German instead of spending hours on Google, typing in every individual word, having chest CBT kind of translate that for you and just get you started is a great helpful thing generating a fleet of social media posts across multiple platforms. So this is really important to provide some human element to get GPT on the right course. So again, letting them know who you are what you want the tone to be providing some examples of social posts from your brand in the past that you really liked. And having them type those out can be really really helpful. Suggesting topic ideas, punching up small copy using prompts like rewrite this to make it more interesting. If you are stumped and you’ve written a paragraph and you’re like, God, this is dry. I really think I can improve on this have choppy catch up go for it in sometimes with it. prompts like this, what we’ve found can be really helpful is 10 CBT might also give you a really bad idea, but it’ll get you unstuck. Another one that’s down here is generating fluff text like intros and conclusions for human written blog articles. Most people producing content know, it’s easier to start in the middle, whether it’s a website, page, white paper, a blog post, doesn’t matter. Sometimes it’s easier to just get your thoughts out. And again, if all the technical information is there, the important stuff is there hashtag Fe GPT, generate the intro. And if they generate something that totally thinks out loud, and you rewrite it, well, did that save you time then sitting there toiling over how to write the intro by yourself? Sometimes it does. Sometimes it’s easier to be an editor than it is to be a writer. We talked about generating smaller work, grammar and syntax assistance. There’s also AI powered tools like Grammarly to download right onto your computer that can help with that. But it doesn’t hurt if you have a presentation or anything to just send it through a check up and ask it to text check for grammar for syntax for that kind of thing. Rewriting frustrated emails to be in a different tone. Maybe this is just very personal to me. But sometimes I write something and I’m like, I know that didn’t come out how I wanted it to GBC will you make me sound a little friendlier today, generating PPC, ad headlines based on human written copy, again, when you’re creating PPC campaigns, and some of this is more native into Google ads. Now, so a little bit of this we’re seeing come right into the tool. But if you write six and have chats, YubiKey generates another 10 that can be a super helpful way because you have to read so many iterations of ad headlines and meta descriptions that any normal human is like bouncing their head against the wall, trying to think of a million different ways to rephrase something within 35 characters. perfect use case for chats, UBT formatting text and data into tables for inclusion in a written piece. If you are publishing something that’s just a wall of text, is there a way that it could be a table or a graphic or a visual TPT is great for that transcribing video and audio podcast content and then turning it into an article again, you have a source there that was created by you. So you’re not running into as many of those areas and issues with inaccuracies and things, and also turning an article into a script for a podcast in short video. This is another question entirely. But video live streaming podcasting content, like we talked about earlier, when it comes to eats, when it comes to giving those signals of trust when it comes to getting all of that having those channels, in addition to your written channels helps projects that authority. And if you have a bank of written content, and you’re like Kali, I’ve spent literally 10 years writing all this content. And now you’re telling me to do video, make it a little easier on yourself by turning some of those blogs, into scripts, and making it easy for someone on your team to film a video about it. Okay, really quick on ethical considerations. I’m not a lawyer. So this is not legal advice. These are just the things that we’ve had to think of our company as we’ve been deploying catch up to things I would like you to keep in mind as well. Public AI is using the content you put into it to make it smarter, do not put in any proprietary information or any information you wouldn’t want a competitor to see. So if you’re taking something like that and distilling it into blog content, it’s going to be best to just do that on your own. Take out the proprietary information put out into the public what you’re comfortable doing. Never ever, ever, ever use. But anything in there that you wouldn’t want someone else to see. Because it’s training, it’s modeled on what you put into it, allegedly by the AIS ais that you pay for. aren’t doing this, I say allegedly because for me, for my company for us, I would still not do that with any API, public or private, anything that’s important to us is not going into an AI period. Just my advice. Take it with what you will. Legislation is coming out constantly about generative AI use keep an eye on it. A lot of this so far has been in the creative media space with images and books and music and things like that. So just keep an eye on it and what it looks like and how that’s changing. Ai Generated Content cannot be copyright protected, and the world around us are super unclear. So when I say they’re super unclear, it’s not clear how

44:15

strict AI generated is it did you use an AI to help you with it? Did an AI write the whole thing did you rate 30% And the AI right 70% This is a super big gray area. But just something to keep in mind. Again, I’m not really qualified to give you advice on that but just something worth noting. Plagiarism is a real thing and catch up T doesn’t care about it but you should. So there’s nothing stopping tattoo btw from generating a blog post for you and half of it being straight up ripped from somewhere else. Literally nothing stopping IGBT from doing that. So just be careful about that. If you’re going to generate something more long form something a little bit more high stakes. Keep that in mind because you’re going to be the person that faces the consequences not catch up. And it’s best practice to just never just take what you Get a dump it somewhere else. Some examples of this are sometimes AI will give you placeholder texts and say like company name. And if you’re moving too quickly, and you’re just taking that and posting that on Facebook, now you have a Facebook post that says here at company name. So you want to make sure you’re always proofreading it and always giving that extra level of human attention there. And also AI has proven discriminative bias, this may or may not come up based on the content that you’re producing for your industry. I mean, it’s going to come up for everybody, but how relevant it is for you based on your content is sort of dependent on the work that you’re doing. But remember, AI was trained on humans, a lot of times we have this tendency to think of AI as being better than humans or infallible or more accurate. And that’s not true. And just like it has all of our information. It also has all of our yuckiness, racism, sexism, stuff like that. So it’s just really important to remember that AI is not above us, it’s right down there with us in the muck of all that as humanity. And if you insist on using AI to generate full articles or technical long form content, not based on any original work, if you’re like, Holly, I’ve heard your session, and I still want to generate blogs anyway, for my company. I think that’s awesome. You do you but I will insist you find a way to fact check and plagiarized check it so that you are not getting yourself into a situation that chat GPT put you in. So with that being said some next steps. How could the powers that be at your company for the comfort level with AI use so arm yourself with the latest legal info talk to who needs to be talked to you before you just run wild utilizing AI, begin building a prompt library to help you and your team members save time. So if you’re not a solo marketer, you’re working with others and you’ve found a really good way to get high quality well phrased LinkedIn posts out of chat GBT, save that somewhere. So if there’s a preamble, that’s like you are an engineer at debted. You know what I mean? You have that already saved. And you can copy and paste it make yourself quicker. Utilize AI tools that help you and don’t just crank up your process. This is something that as we’ve had team members testing different elements of AI and things, we found that and then looking at how long does it take before how long does it take with AI, sometimes we have a tendency to think because we’re using AI, we might be moving more efficient, or more quality or more quickly. And sometimes that isn’t true, it can just be downright cool to play with AI. So it’s really important to be conscious of where you’re gaining versus losing time. Have to fail. Try again, test again and save some time start to master it. Just play with it mess around habit, phrase the email to put in your PTO have it you know, write a text to your wife, if you know she forgot to put the cap on the milk again, and then you shook it and it got milk all over the kitchen. My husband had to do that this morning. I don’t know that he would catch up. But maybe, and then try out some of the problems ideas given here and explore explore people who are smarter than me like Burt said he has a ton of AI experts. I’m talking about stuff like this all the time and do deep dive. So seek out those resources and figure out from today forward, what it looks like for you for your company, what are the best ways to take advantage of it and use it because it’s not supposed to be scary. It’s supposed to be helpful above all else. So figuring out where it can be the most helpful for you will be crucial in the coming months. And that’s all I had. And there was a lot I know so are there any questions or anything on your mind?

Curt Anderson  48:20

Man that Julie How about was How about how about a round of applause for Holly just absolutely hitting the ball out of the park? Man. It’s full fledge baseball season. That was a grand slam right there. I guess for anybody out there. How would you feel mind magickal back to those two particular slides. And what we just in case they missed it. I man that’s a great opportunity for little screenshot right there. Yep, that one right there. So if you didn’t get a screenshot, opportunity capture a screenshot. These are phenomenal, phenomenal suggestions right here. And then how about in two more seconds once you go back one more slide. And just to get let everybody? Go back? Alright. Yeah. One more. That one right there the promise. Yeah, I love all right. I think that’s a great slide right there. So if you didn’t get a chance, I strongly encourage you, I’m all smiles. Julie got a big smile there. Right. Like I love those pearly whites. So that’s a two great sights. We encourage anybody, everybody. First off, thank you guys for joining us here today. We’re not going anywhere. We were wrapping up. Would it be prompt Holly, great job. Let us get wrapped up. We would welcome love to have some dialogue questions if you want to put them into chat if you want to take yourself off mute. We just We love doing these programs here at Purdue. Again, we want to you know maximize the value for you. If you haven’t already, I dropped Holly’s LinkedIn profile in the chat box. I also dropped her book I encourage you as you just saw, her book is just as phenomenal. She is in person. go to Amazon and look at that and he’s got her day Oh, Julie, look at you. So any questions that we have in the chat? Maybe people are thinking or processing? You know, please don’t be shy. You know, feel free to ask a question. But Holly, you know how how, as you’re working with clients, and again, you work exclusively with, you know, nice size manufacturers? What’s some of the feedback? Are you hearing resistance? Are they receptive, like kind of like, what’s the pulse as you’re talking with manufacturers,

50:29

we have actually done a lot of trainings. For our point of contact manufacturing companies are usually manufacturing special, or marketing specialists in a manufacturing company, maybe VP of marketing and sales, maybe just somebody who needs to outsource part of their marketing or all of their marketing to us, but who’s on the hook for results. And a lot of times, they’re really jazzed to learn about the breadth of AI and where it can also help them in their day to day. So some of that might be helping them phrase follow up emails better if their sales team are handling some of those types of things, helping them punch up coffee and working with their current software. So we work a lot in HubSpot, they have a lot of baked in AI tools. So teaching our clients how to maximize those, maybe their HubSpot syncs with their ERP, what are the potentials for leveraging AI intelligence, there, that tends to be where we’ve been talking a lot about clients is the opportunity to just help make help them make better decisions, and be more efficient, whether it be with some of these things that they’re handling, we’ve done a lot of trainings, my colleague handles the sales, side of training and that level of expertise. So we’ve tagged team, some trainings for clients on using this type of stuff to help them save time. So I don’t know if that answered it. But there’s there’s been a lot of interest, not a ton of resistance, mostly just interest in how they can also then use it to save time, of course, we’re transparent about, hey, we’ve been using AI for this. So now you know, the estimated time that takes us as less so we’re going to do this additionally, with that saved time, like that type of stuff. We communicate with them. So of course, that’s always of interest to if we can do more, because we’re saving time and efficiency here.

Curt Anderson  52:05

Well, excellent. Hey, we’ve got a question from Katie, King Katie, thank you for joining us today, when it comes to answering employment candidate questions. What should HR know about using Chatbot? To handle this? What are your thoughts about that one?

52:20

Yeah, so I think one of the important things is no matter what software you’re using for a chatbot, making sure that you have that network sort of specked out for them and then have aI go from there. So if employee uses this word, this word, this word, we want to direct them to this response, this response, this response. So maybe making sure that the mapping is super intelligent. And then if the responses are API driven, or even some of the mapping could be API driven, depending on the software we were using, that would be really important. But basically making sure that you have the groundwork covered so that the responses are logical, and feeding HR with that, basically, what’s capable or not capable based on how AI the Chatbot is fed, so that nothing’s coming up where they might be asking about, whether it’s remote or on site. And you know, the chat bots answering we have an abundance of you know, we pay a fair salary or whatever it looks like making sure that those things are mapped as much human fed or AI fed as need be just so that the response is always relevant. I don’t know if that was helpful. That’s what came to mind for me. Well,

Curt Anderson  53:28

I thought it was great, Katie, you know, feel free to chime back in the chat box or if you want to, and I we just had an expert on our on our live show, I’m sure to sort of keep plugging our live show. But we just had an expert he he bout three weeks ago, and gave a lot of wonderful information about a topic very similar. So again, Katie, thank you for joining us. And Andrew raised his hand and you’re happy Thursday, what question do you have for us? Okay,

53:54

well, first of all, thank you so much. Great job here. I’ve been doing technical marketing for 15 years. So I’m an engineer by trade, but I like marketing. And it’s it’s I’ll say it’s way harder than engineering. So I’ve been using chat GBT for also. So I represent an atrium. So we put security around it. And so I would load my technical files and ask for things like press releases. And it’s just genius. It’s just really, really good. So I think there’s sort of a paradigm shift, or maybe breaking down silos is a better way to say it, where the, if marketers had access to the engineering database, the content would be way better for marketing.

54:32

Yeah, definitely. And like you’re saying, those are the perfect examples of what derivative works are like they exist. Most companies have that type of documentation, have those things that exist? And then if you’re creating something off of that, you don’t have to worry about stuff like plagiarism or inaccuracies because it’s your stuff that you’re working with. And just getting it to go the extra mile for you. You’ve already done the hard part. Have GPT do the legwork. Now that’s a perfect example.

54:57

Yep. Yeah, it’s it’s like I said, it’s it’s not only accurate, it’s super fast. I mean, like, it takes more than 30 seconds I think the system locked up.

Curt Anderson  55:11

Andrew, have you found it a game? You know, with your 15 years experience? Have you found it has been a game changer lifesaver? Like what how would you describe your experience?

55:19

I would say, I always felt I had this big advantage because I’m an engineer, and I represent technical companies and the audience is technical. Now literally, I could train my 15 year old daughter to do press releases, and just give her the documents and say do this.

55:36

Yeah, yeah. And that’s a great point.

Curt Anderson  55:40

So we had an AI expert recently. And exactly to your point, Andrew, she’s a solo marketer team of one. And they just, she was to help her unload her her her workload, they brought in an admin person to help her. And so every time the person needed, hey, how do I do this? How do I do this? It was like, it was kind of blog me, you know, bogging me down. She would just have that person go to AI? How do I do an h2 tag for SEO? How do I do that? And she used AI almost as her assistant to help her assistant. And so just making her more and more efficient. So you know, there’s so many great ways to take advantage of this. Andrew, thank you. Any other questions or comments that you have answered from your experience?

56:22

Now, I would say the other thing is, you know, I shared a video on on YouTube. But when people see that, they always say, hey, customer service should also have access to this engineering library, because they get the questions. And then they have to go interrupt engineers or whatever. So either they could just because tools are so fast. Of course, they could find the answer quickly. It’s cited, that citations are there. Or you can even automate that and have a person can log in and just get access to whatever they wanted. Yeah.

Curt Anderson  56:56

To piggyback on that, Andrew saw a big process that we’re doing with with any piece, like our friend here at Purdue, is exactly what you’re describing how, you know, get the engineer, and I think you know, how you had some different prompts. And so, you know, sit down and interview that engineer. They’re the subject matter expert. They’re, you know, knocking out the eats, right? experience, expertise, authority and trust. And so now you can prompt you know, hey, what, what, uh, what’s a question that our soulmate is asking today, regarding, you know, like we did, we did an interview this week, and a manufacturer does coffee valves who knew that there was like a coffee degassing valve that goes in packaging? Well, there’s a person that’s an expert on that topic. So what we do is then we just sit there we interview. So now we’re getting authentic information from that person will use an AI tool called otter, just like the animal OTT are. So now we get the full transcription from that engineer. And then you could convert that over to chat GBT, you can use Claude, like Holly’s recommended, and say, Hey, take this interview and turn it into 1000 word blog posts. So the great way is like, that’s authentic information from that engineer. I know, Holly, what do you think of that process?

58:08

I think that sounds amazing. Yeah. And as long as you then have that marketer rereading it before they push it live, I think that that’s a really awesome, time efficient, energy efficient, resource efficient way to do something like that. That’s perfect. Yeah,

Curt Anderson  58:24

so there’s, there’s a and then to Holly’s point, you could take you know, say a blog post, then you could strip out, Hey, give me three LinkedIn posts. And again, you’re using your authentic, genuine, original content. It’s not going out on swear. And I think Ali probably one of the biggest takeaways today truth, right, proofread, proofread, proofread, don’t know assumptions. Don’t take for granted that, you know, Chad’s giving you that that original content or information, we’re coming into the top of the hour, I want to be respectful of everybody’s time for folks who have calls at the top of the hour. Any other questions, comments that you want to share? Before we close out?

59:03

I will just say to if there’s anything that you wanted to ask, but maybe not in front of the group, it’s maybe a little bit more company specific, feel free to connect with me on LinkedIn, I love talking about marketing and nerding out about this stuff. So I would love to help point you in the right direction or solve something like that. For you. I’d love to hop on the phone and brainstorm. So I know sometimes in settings like this, it’s like I have something to ask. But I either feel like maybe I don’t want to sound dumb, or it’s gonna give too much away about my company. So if there’s something like that, I would be happy to work through that with you and talk through it. Sorry, I did not mean to cut you off. Really? No,

59:39

that’s perfect. I was just gonna say thank you to your both. It’s been so informative. And I know for me personally, I’m kind of slow to roll into the AI stuff. So I use it as just a creative boost. Like I’ll be like, Give me six reasons someone should implement lean, and I’ll find I’m like, Oh, that’s a great topic. Let me take that. Let me run with that and develop something off that so For me, it’s just having someone to bounce ideas off of sometimes. You know, I’m kind of a a one man. So I’ve got Michelle a little bit of help too, but it just I just need a break. I’ve kind of run into a block of like, what else can I think of? I use it for that kind of stuff. And of course you know that to like headlines and stuff that was just cleans it up makes it a little tighter. So I just Yeah, boost. Yeah, Holly, gain

Curt Anderson  1:00:21

a lot of great tips as we wind down now. First off, before you wrap up for your next call, we do have we do have a question. So if you can stick around for one more minute, our friend, absolutely question. But again, if you need a wrap for your upcoming call, I strongly encourage you invite you welcome you. How about running applause for the Purdue and EP, so we’ve gotten a shell we’ve got Julie, connect with Purdue MEP, they just do they have a team of what do you 4550 Strong, just helping manufacturers all throughout the Great State of Indiana, helping you with Lean operational excellence. Cyber is a big one. My friend Jean is the expert there. They help with marketing these wonderful programs here. It’s matter of fact, Holly, you’re gonna be back in August. We’re gonna be doing a jam session in August, Julie. So that’s going to be one of our jam sessions. I’ll keep you in a in a loop there. But does he ask? So if you aren’t going up for a call? Thank you. Thank you for our audience for Java. Ron. Applause Holly, for our audience for hanging out with us today. Oh, yeah. appreciate everybody taking the time to join us. Ducey says how do you create larger libraries libraries inside chat GBT custom GB TS allows for 10 to 20 files, I think. Do you have workarounds to create larger libraries to reference when creating content or using chat GDP to answer quick resor quick questions based on library you provided we can connect offline if that’s a deeper dive.

1:01:45

Yeah, so a couple a lot of different ways to go there without knowing so so much about, you know, your team and things. But there is also the team GPT option where you can invite other people who you might be collaborating with, into it as paid into chat DBT. And you can save different GP teas in different personas there. Have you mentioned there are limitations on the free version with what you can save. And I know a really great person to put us would be our solutions developer Zach hands and my business partner, Johnny chemic, they worked on a prompt library database as a way for our team to pull quickly. GPT is from based on the limitation of what was inherent to the software. So if you’re looking for more of those, like technical hacks and workarounds, they’re so much smarter than me. I just get to benefit from it and use it. So I don’t know if that was helpful. But team GBT is certainly an option for collaborating and saving things across multiple people who are using chalky beauty within your organization. Yeah, I don’t know if that was that was helpful. But that’s what came to mind with your question.

1:02:52

Yeah, that’s fantastic and dusty, you know,

Curt Anderson  1:02:54

curves you I put a Holly’s LinkedIn in the chat box. I encourage everybody Connect. I’d love to connect with everybody here. We’d love for you to connect with Holly connect with Julie connect with the friends at Purdue. So yeah, if you guys want to, I think you said nerd out. Right. How are you enjoying nerding out? Doesn’t want to nerd out with how favorite work passionate. Alright, before we wrap any other questions, and if not, again, how the Thank you, Julie. Thank you. Thank you to our crowd, our audience today. We appreciate everybody. You know how busy you are. And we wish everybody stay cool. Have an amazing, wonderful summer. We’ve got Fourth of July, we get to celebrate our countries and celebrate our anniversary and a couple of birthday in a couple of weeks. So Julie, what do you have anything else you want to close this out with?

1:03:41

Now? Just Thanks, everyone. Thank you, Holly. Thank you, Carrie. We appreciate it. This is wonderful. Oh,

Curt Anderson  1:03:46

we appreciate guys. What the replay going out next week. So guys, thank you. Thank you have a great rest of your day. Keep crushing it right, Julie?

1:03:54

Yeah, exactly.

Curt Anderson  1:03:55

We’ll see. Uh, thank you, Holly. Thanks, everybody.

1:03:58

Thank you. Bye. Bye. Thanks, Andrew.