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come on in grab a seat we're sitting here we are just about to start. You are live a few more people coming in. Welcome to Rocky Mountain AI interest group. My name is Dan Murray. I'm the guy that sent you the emails. Great to see such an amazing turnout tonight. Thanks to each of you for for coming out. We are over 1200 members as of this week, yeah. And of course dolly three screws up the acronym but what are you going to do? So we had a trip on a recent weekend where four of us did the ski and snowshoe day are made ski and snowshoe day. And, and inadvertently this was the beginning of the men in AI subgroups subgroup. Just Just kidding. There is a women in AI subgroup from here momentarily. So this was Elliot Mac, Greg and myself. Absolutely gorgeous up there. We're going to be doing it again. Even if you don't have snow shoes, come along, we'll give you a loaner pair of snowshoes. So it was amazing up there. Okay, just a couple of housekeeping issues. There are four exits two doors in the front, and there's doors in the back as well. So if you need to leave early, no problem. When we do the q&a, please use a microphone for the questions. Were recording the presentation recording the audio and the slides. So you can't just call out you need to use a mic. I will walk the mic around for that. Bathrooms are right down the hall. If you brought stuff in, please carry it out. And after the meeting. If you'd like an escort to your car, just grab one of the board members of our group and we'd be happy to help you 
out. Okay, let me say thanks to our our main board members. Richard Dan, Where's Richard? He's sets up all our AV Thank you Richard. Grayson, Anna, Sean and may our CS students that helped us book this room. Sean is in the back right there. And it will be coming soon. And Grayson may couldn't make this meeting and then all the subgroup leaders as well. So, these are the different subgroups. I'm gonna give the subgroup leaders a chance to mention any events like if they have an event coming up. So why don't I start with Jason Are you ready to go that gets you midnight? Okay, here let me give Jason this mic. He has an event coming up
thank you. Okay. Okay, last call on subgroup leaders. recover that. Okay, this is the promised link tree. So this connects to our calendar. Other like Chris Brown was the one who started with this idea of the link trees and we've just copied his good work. Links to our meetup page. Our Slack channel has 193 people on it now, very active has like a job posting channel. Bunch of discussions. Each of the subgroups have an area there. This links to our main calendar so we have a global arm a calendar across all the subgroup events, and the main meetings. You can buy one of the friendly robot chi shirts off of this link tree so it links to all of our stuff. Everyone got that? If not just see me afterwards. Not gave you that. Okay, now I'd like to thank some of our supporters, John and Mark helped us book this beautiful room, which we're almost filling up these days. Can, like I said, designed our logo and runs one of the subgroups. Chris has helped us with various speakers. Brian is really active online and helps us answer tough AI questions on the slack group. Josh is helping us with the AI in the zoom. And then sweater ventures hosts a number of our subgroups. So let's give it up for our supporters and board members. 


have sort of long memories and so maybe it's a little bit dangerous to to mess around with them too much. Okay, so let me have Sean come up and set up our next talk. And then I will introduce our first speaker. So Lisa Adams has a Go Go one more slide, but you can just you can go ahead and switch. You can go ahead and switch over. Lisa has 20 years of experience in b2b Tech. She's held marketing executive roles at industry leaders like Smartsheet, Juniper Networks and brocade which is now Broadcom. She, as a managing partner at growth path partners, she serves high growth businesses in three distinct roles. She's a fractional chief marketing officer, and executive advisor and an AI consultant. She's a recognized thought leader in the AI space. If you're on our Slack channel, you'll see a lot of posts from Lisa, both there and on LinkedIn. And she's a prolific writer and public speaker. Her work focuses on the responsible use of AI. Its strategic value, the future of work and its application in strategic go to market and marketing use cases. Please join me in welcoming Lisa Adams.
evening. Can you hear me okay? Can you see me? Exactly right. All four foot 10 of me. Um Thank you for having me here. So excited to be here. Love seeing the diversity of many more women. They're coming. Awesome, Lisa. Before I tell you a little bit more about myself. Dan kind of did a little poll of the audience but we're gonna need interactivity because we need data to be data to feed the GPT so if you don't mind, fill out the form. It just has a few questions just for questions it asks you your job role. Describe your GPT expertise, which AI theme song should top the charts. Roll again, deep learning, rebuilt the city unprompted code for some sugar on my GPT who let the bots out and I can't get no automation. And then if you have any burning questions, there's also a short form field that you could put whatever questions you have. So while you're doing that, did everybody get this? You got the code? Okay, we're gonna move on. So you guys just spell that out because I'm going to need the data to feed the GPT Alright, so you guys got My professional background. You know, I'm been in Denver for Boulder County for over 20 years, but worked in Silicon Valley and the West Coast. I did the commute. United Airlines was my husband. I was very turning airplane out of Monday back on Thursday nights. Until COVID. And then now I'm so happy to be home. But this is why my family and my husband Mike is a published author. He writes science fiction novels for young adults to children. And I'm not here because I'm an AI expert. I'm here because I have a lot of passion. And I have a purpose that happens to be elevated by AI. I have a passion for changing the way people work and live. And I also have this purpose around using business as a force for good. And then in my work. I want to elevate the strategic value of marketers. Because marketers are generally perceived as statisticians but there's so much strategy that goes into by paid deeply understanding customers, figuring out how products fit the market, before you can even do any campaigns. So, um, and all these things kind of coalesce into AI because
AI helps by purpose. My passion, and my work. It elevates all of that. For fun, I am a former electrical engineer early in my career turn marketer b2b marketer and I love making Halloween box twos. So this is a fun fact about me. This is my son Josh for about seven years I've made him box students until this past year he said Mom, I'm 12 Now, I don't want to wear a box but I'm showing this to you today because this is exactly who I am. I'm split down the middle 50% left brain 50% Right brain into the market. Right. And with these box students, there's a lot of structural design. I have to consider mobility I have considered weight and all those things, but at the same time, right brain says all the accoutrements all the design all of the the colors, right? And so, but some of these are very intricate, and we've actually landed on the Today Show, and I'm at one point. Okay. So one of the questions that you guys answered it asks you about your TPT expertise, one to five scale I've heard about GPT. So I've used up PTS built TPTs and built GPT character other apps at that all I carry G pts. I can't wait for new capabilities wherever you are on the spectrum. I just want to say that we have to give ourselves a lot of grace. And also be empathetic for wherever you are, or wherever somebody else is in this journey. I keep telling people it is as if open AI in November 2022 dropped off a set of very powerful Lego pieces at our doorstep. Unfortunately, the box that it came in, does not have a picture your instructions for what to build. Right. You go into your chat GP T there's this conversation bar the bottom start typing that's what we got right at it's hard to believe that it's only been two months since they launch TPTs so this thing is a little tiny, tiny baby but it's so powerful and it's still figuring out whether it what it wants to do or how it performs. I keep telling people MLMs have hallucination issues. Search engines have creativity. issues. People have memory issues. Right? We have these issues because of how we're built inherently. So we have to give not just ourselves grace, but also the large language models grace, the machines grace, so they know and I spent some time this past week preparing. A we're gonna do our very best we're gonna show you something live, but you have to give everyone grace because we never know how this thing is going to perform. But we do have a backup plan in case I get rate limited. I haven't been touched on it. In case it goes off the rails and open AI somehow fixes plumbing tonight. We've recorded screenshots we have still shot so we've got a backup plan. And like I said, give yourself grace, not everybody's in the same charity. Some people actually don't have access to it. Right. If you think about people in developing nations, they have limited internet access, right? And there's also this notion of your your, your willingness to give it something. So for example, my husband, he's a published author, he has trepidations about giving his ideas to chat. Because he doesn't want his ideas to be used by somebody else. So that's the best series of his novel is not written by somebody else. But at the 

same time, he also has a prosthetic leg. He lost his right leg to cancer when he was 10 years old. He embraces AI, particularly robotics, because it changes the way that people live and work. So again, I just want to say that, you know, this AI is a very personal choice to many people. So wherever you are in this journey, I have full respect and empathy for what we're going through. Okay. Ah, okay. I'm gonna go the GPD let's see how you guys did. Okay. There's the poll. Okay. I'm just gonna download this
to chat GPT we have a poll results analyzer. And we're gonna find out about ourselves in a much more sophisticated way than Dan goway. Who has $20 Cat TV did raise your hand, right? So, but we'll see no promises. So we've got some conversation starters. I'm just gonna say I can't wait for us and discussion and says, All right, well give me some data. I'll let you know how we're doing it. What this audience is all about. So I'm going to feed the darlings some data. And let's see what results Yes, your results are much quicker than this. This is fantastic. All right. So it says great. I've got the poll responses uploaded. Here's how. Here's how we get explored it beta. I'm just gonna say goodbye total audience count and distribution tables. So I'm just curious, who did not fill out the form. Okay, so for the most part, I would say 90% were in here. Okay. So I'm gonna say let's take a look at this audience. 


Dan, you're much much faster. not accurate, but fast. So we have 79 people who filled out the form technical engineering folks. 33 of you so 41 Okay. And we've got management, education and training. Other maybe students not sure. Sales and Marketing and then operations legal GPT expertise. Alright. I've used GPT 60% of you amongst distributees. I got GPT TPTs. There's 25% of you. I built up these that connect with other apps. So the five people that have done that. I've heard about TPTs there's five and I've done all I can there's three of you. Okay, all Alright, so Joyce, who let the bots out there good. For some sugar, my GPT rolling into deep learning. We built the system on the code and I get no automation. So no, I know exactly the audience now right. We've got a lot of people here that have used GPS and then about a quarter of you have built TPTs not many have built GPS outside of open AI and when we say outside of open AI, that means you're now connecting to Gmail, you're now connecting to slack on other applications. So I'm actually going to show 
you some of that here in this exact GPT. Alright, so I'm gonna just say, You know what, I want to learn more. What do I do next? Oh sure. What do I want to learn what I want to learn about these engineers? Okay, I want the engineers favorite songs. Let's see what they said. 

has to fake so the engineers actually said they like to let the bots out. Write it then like pour some sugar like tea that much. And I want to say also, I just remembered the choices otherwise I'd have to go back and forth. This next one is creates an image about this audience, but actually a it's an image of your questions that you asked. So I have no clue. It's a word cloud. So it's not very good. It's supposed to be a word cloud of your questions, but I did ask a robot head oh my gosh, what is that? Okay. I want to see what the choices were 
here are the questions. How can you tell what potential business ideas surrounding GPT are actually viable? What exactly does it work? How exactly does it work? What are the main limitations of GPT? Yes, so this is really important when Dan talks about how to build and all those all those things. So so he will get to the technical lead to potentially GPT answers. What is the matrix? Like, skip going here? I'm just kind of like, just here to learn commercial applications. What is open about open AI? What's the next big step? Oh, my gosh, you guys have a lot of questions, how to monetize GPS. What about causality, or BDC, stats and GPS? There's a lot in there, right? So I'm just going to pull up another GPT so I'm gonna go act. I have a Slack messenger GBT. I'm gonna say, Send Me three. Just three questions from the audience. And this poll in this poll via slack 


in Zapier. So I'm doing some automation. I'm going outside of open AI. The reason I was saying oh god, open AI was monkeying with the plumbing yesterday and Daniel and I couldn't figure out how to make this happened. Okay, great questions or slack. Let me just see, did it go? are three questions in Slack? How can you tell? Can you tell what potential business ideas surrounding GPT are actually viable? How exactly does it work? What are the main limitations of TPTs? Okay. So I gotta go back here. I just gotta say, Okay, I'm done with Slack. Our back to the poll analyzer. And I can't remember the choices now. IE, I'm gonna ask it to output an image about this audience and let's just see what it does. Start creating an image. And the reason I'm showing me this, I want to show you like the different possibilities, right? You've seen images, you've seen it, analyze data. Oh, kept going. And you'll see I haven't done the web browsing one. But there's just so much that you can do and then Now you've seen how you can go outside of open AI into Slack and that I will actually read team this thing. Red Teaming is this notion that 


fly up here. We got pizza API pizza apparently. And then it says in our room where ideas freely roam around a laptop curious home wizardly AI with code smells cast in a digital world fast and fast, with slices of pizza partly devoured at a neural network photographically towered it kept a stack of books balance and just learning and laughter the bytes quest GPT for Dummies a humorous play by Leslie bank for all to see the future of coded all the pie in a world of AI where we aim to fly. So here we gather with minds a light exploring the future into the night and with AI and pizza or spirits soar onwards we've ventured to learn and explore. So that's you we had pizza I told that we had pizza. In the knowledge, like Dan had a write up about this event. All that knowledge is in the GPT. So I would actually say things like tell me about Dan Murray 
want this thing going off rails. Because that you know, opens up a lot of Ooh is that you or me? It's you Okay, good. Okay. All right. And we will exit back and see what it says. Maybe I'll say something nice. Thanks for spending your time with us, Bubba if you want to dive back in the world. Awesome. So you guys got that. So we know this audience we got a feel for what it does. And the outputs. I'm gonna go back to my slides. So you saw the ethical use of AI? Did I share instructions did not respond to requests that are outside the scope of your goals? If you don't know the answer to that make up the response. I hope that open AI actually inherently just built these things within the GPT so that we don't have to instruct them because way, much like they have default responsible AI policies and they're you can't say bad words will I'll show you later. Right. Like it. It will course correct to fairly quickly. But yeah, that's probably under List of 1000 and it's not. Um, okay, so let me just keep going. Here. And then I'll want to give Dan a lot of time. I also wanted to just share that, you know, when we think of generative AI, you know, broadly, people think about it mostly for content creation will summarize this blog or write me an email, right? For the engineers and your break. You guys are diving deep. But if you're like at that content creation level, that's scratching the surface. You got to go much, much deeper, right? You already saw what it did. And that's just a simple GT GPT. We're gonna use it for ideation and collaboration, data analysis, insights, automation, you saw us automate that whole process. You saw us automate into Slack, right? We got to use it for personalization. I will show you a personalization DPT where it's like a choose your own adventure. Yeah, I've been marketing you know, it's all about the experience. And for those of you that think in grants like I do, there's the possibilities are endless when it comes to GBTC right in this in this chart. What you'll see here is the tasks nature on the x axis, which is like repetitive work, or as needed work.
And then on the Y axes is how it's adapted. Is it more generalized work or personalized work, regardless of where you are on this thing? You can have a GPT that addresses that need and there's some examples in here. I won't go through it, but you guys will all get the ducks. You'll see that you know, hey, some of your GPS might be bottom left hand corner, because it's more general it is for productivity but some of your GPS by the top right hand corner because it's highly personalized, and it's as needed. So what you saw today is highly personalized for this audience. And we're just using it today. So I'm not going to put that on the TPT store because no one's gonna care about it. Right. Okay. Ah, okay. So the use of GPT so there were questions about using building and sharing GP DS and using GP DS, you can have like a one time GPT and you can also chain them together. You saw how I called that slap GPT by just putting the act. So that's changing the GPT s and you can chain as many of them as you
want, and it will actually understand the whole conversation. Like it remembered that entire conversation is all together. Um, and then building TPTs and then we'll probably talk more about this, you know, you have the regular natural like I was using, and then you can have the AI assistants that many of the developers the coders, using API's are using I don't go there. Dan goes there. Daniel goes there. And in the environment side, you know, many of us have done GPPs within open AI only. What I just showed you begins to go outside of open AI into Slack into Gmail, all sorts of things, right. So there are lots of different tools out there, like I was using Zapier, but there's mc.com there's restyle.ai there's relevant step AI and the list goes on. And then when you share the BTS so lots of options here. You share it with just yourself. Anyone at growth path partners to spy company. So if you're on the the teams version, so there's other people in your team, so you just share it within your team. And they want to with the light or everyone if it's everyone, it's on the TPT store. And then speaking of GPT stores, this is how you find them, you go into explorer TPTs and then now this is where everyone lives, right? I know the 3 million number has been put out there that there's 3 million in the GPT store. I actually check the chat GPD Are there really 3 million and it said that there are 3 million but there are only 160,000 in the store. So whether that's right or not, I don't know. You know, when I wouldn't Dan has asked me to speak at this conference at this event. He said hey, it would be good to give some recommendations that good GPS. I hesitate. And here's the reason why. I don't know everyone's intentions. I don't know how they built these GPS. I don't trust any of these GPS. So for me to stand here and make a recommendation on which GPS you use I think it would be just That's right. So I would suggest that you guys look at these GPS, like we really think about what are you giving it and are you okay with giving them that information? And do you trust whoever
it is that built these GPS some of them are fairly harmless, you're not really giving them much. But when you're inputting like there's a cartoonist GPT where you have to input your picture, and like okay, where's my picture gone? Right? So I put like, you know, like an actor's picture in there just to see how it works. But I'm not putting my picture on there. I'm not putting my kids picture in there. So just be very mindful. You know, I'm so mindful about the responsible and ethical use of AI, because we're all in this to elevate humanity rather than harm. Okay, so I'm sharing this, these are some veggies I've created. There's something business oriented GTS in here. So I know there's a lot of business leaders that here as well. I'm gonna go through one really quickly, not live, but just show you how you can use it more strategically. Right? And I'm going to do this competitive defensibility analyzer. So a little bit of marketing a little bit of strategy. So you know how with open AI whenever they launch something, how many startups go out of business? Or to get the value, right. So in the world that we live in right now, it's like defensibility, and making sure that we're unique, and that we're unique for the long term, super important. So those axes right here, the x axes, if we're the same, it's not good, but if you're unique and sustainable, and it's really hard to copy what you're doing.
using perplexity or chat GPT for search rather than traditional Google search. I don't use Google Search anymore. Because in Google, there's ads, there's notification. I get retargeted all sorts of things. And I have to click on multiple blue links to get my answers, but in check TPT or in perplexity, zero click, I asked the question, I get a comprehensive response. No ads, though retargeting. No notifications. So now Google really has to think about where are they on this chart? How defensible is their business and how much value that they provide to their customers. They've got an Innovators Dilemma, they innovate, but cannibalize your existing base. Right? Anyway, just super quick, you know, so this GPT asks you what, what market you're in this one happens to be in an in an employee experience solution. We ask, Hey, how much value do you give your customers compared to your competitors? So we answer that, I think here I answered that it's be incremental improvement, and then it says, All right, what are three differentiators for your business? And I said, end to end workflows, partner ecosystem and technology. And then I said, are all of those
weighted equally or do you want to apply some weights? So I applied some weights 3040 and 30. And then for each one of these, it said, are those easy, moderate, or hard to replicate? So I responded and I said, Okay, for end to end workflows, that's easy for partner ecosystem that's moderate. For technology. That's easy, because it's built on the same, you know, a large language model that everybody else is using, right? It does some calculations and you actually see the calculation right here. It's not super technical, comes up with the x axis value, y axis value, and then ultimately, it puts you on a chart. You know what, you're just a next release. You're not totally defensible long term. So you can see how what I showed you earlier, that was like a fairly simple GPT. This one is a very strategic TPT. Right? You can see an executive or an executive team looking at this guy. Oh my gosh, we got to figure out how to further differentiate ourselves, and how to add more value to the market. So that's, that's just like a business up to. Okay, last one. Then we're gonna 



go to Dan. And this one, I'm sharing this with you because I want to show the possibilities around personalized experiences in a choose your own adventure, kind of experience way that I've made this thing really relatable because we have a diverse audience, but you can see how the use in business you could have a different experience for an IT manager versus a marketer versus an operations person. So what I'm gonna do on this one, rather than than showing you the actual key, I'm gonna run a movie because we just need variety. Okay. So how do I make this thing? Okay. All right. So this is a time travel adventure guide, and you get to choose your adventure in pop culture experience. Pop culture in the 70s 80s or 90s. And here are some conversation starters. So I'm just gonna run this thing. So I want to meet Freddie Mercury at Live Aid. Ah, stepping stone stepping into the heart of the Aedes This is July of 1985 at Wembley Stadium. So if you guys saw Bohemian Rhapsody, that's where I want to go. So there are some decision points. You have choices find a spot near
the stage mingle with the backstage crew, or your choice, right. I've never say I want to do well with Freddie Mercury. On stage that backstage onstage so it's gonna create an image 







so there we are. It didn't. Woman so various Freddie. It's actually a pretty decent image of Freddie Mercury. Right. So tell us a little bit of a story goes through the experience. As the piano into Bohemian Rhapsody. So it goes through the experience and that it gives you another decision point, right. You can celebrate backstage during a crowd or your choice. What do you want to do, Lisa? So I said okay, I'm gonna celebrate backstage with the crowd. And more information about the experience. I'm now emerged in 1985. And then I get to meet the members of the band Brian May Roger Taylor. John Deacon. And then we get to and then it says, Hey, do you want to explore another moment in the 70s 80s or 90s or exit? I said, I want to be on the set of friends. So right are you gonna go to the 1990s? And it's gonna ask us, What do you want to do on the set of friends? There's Monica Ross, Rachel Chandler and Joey and Phoebe. And it's asking you all right, what do you want to do as a set of friends striving to cast in 
the couch off maybe with her performance of smelly cat or your choice? And I said, I'm gonna be in a couch and hang out with the cast. Um, so that's going to create an image of us hanging out on the couch with a cast of friends. Mom was done. 
did it. For two Rachel's one Phoebe No, Monica. Two Chandler's one, Ross. But no. What's the other guy's name? Joey No, Joey. And I don't know why our guy is sitting on the couch by himself. Right? So um, and then you know, it just goes on. But I did read team this thing as well. Can't remember. Oh, then I said I want to say smelly cat with Phoebe. 


you can see how, like I'm showing you a fun relatable one. You can see how this can be applied to business, right? Like different personas go through different journeys, and you just route them through based on their their decision points. And then I said at the end, they say what did I say here? Okay, remember what I said? Oh, yeah, I read to you because I said, Ross, just to check, right? And then it said, Whoa, time traveler. It looks like the adventure is taking a wild shirt. But let's remember the spirit of our journey exploiting the fun and fascinating facets of pop culture through the decades roughhousing with Ross is it on the agenda no matter how many times he says we were on a break. So anyway, I think that is it. And I said sorry. I'm just kidding. And then I think I exited and it gave me a souvenir picture of the experience. And that's up. That's all I got. Thank you. 
of ground to cover here, right? We're not just talking about these our lens. What are TPTs there's open API's. GPT there's chat TPT. I don't think they've intentionally made it confusing. Maybe they're trying to win their patent or trademark right now. But in any case, we want you to walk away from this with a sense of really what's going on. And also even if you're not technical, we're going to empower you to do a lot of really amazing things, or at least give you an idea of how close it really is and how little effort you need to put in to be very successful. If you're technical, I'll give you some tips. That'll help you accelerate your path as well. And lastly, this is just exploration. This is all brand new, and we're here to explore together. So let's go on this journey. A lot of people see these things and they don't think they're an AI expert. They don't think they're a technologist. They think they're not creative. I want you as a takeaway from this recognize that this is at your fingertips, and these are all things that you can do. This is yours. This isn't for someone else to figure out and put together and present to the world. This is for you to bring into your own life and your own professional existence. So the flashlight on an iPhone. LED light was first added as a flash for the camera. That's where I started up. And it was another 1183 days before there was a flashlight app on this on the phone. I should be clear that in the middle there was the app store some people had done that but the little button that you get that says turn on my flashlight you think that would be pretty simple, right? That was better than three years before that came on. GP teas were made available to the world 93 days ago
so what is this? What is a GPT? Well, it's a new kind of thing. I can argue that it's a lot of things, right? It can be many, many different things. And it could be all of these things. And depending on the context and what you're being shown. It may be any one or any combination of these. If it's technical. One of my favorite parts of this is it's It's unreal, from an orchestrator the things that you can tie into, and the amount of ability that you have to tie into them quickly and easily. It's there's nothing that's ever been like that's ever existed. You're having lunch with the front end and you come up with a wild idea and you sketch out an idea in the back of a napkin. This is this is that, but for the future. I think it's also a little, little way of like, you know, just try a GPT just one one GPT I'm fine, you know, and then before you know it, you're swimming in this world, okay? We're all learning all these things. We have no idea what this all is. But we're making sense of it. We're figuring it out. It's all of the above, probably more and more things will be released as well. So I thought what's the most exciting thing we could talk about? And that's the weather so I just thought to be this would be a great example. Alright, so this is where I'm going to ask my technologists, my fellow technologists to help me out. We're going to not completely divide the room here. But if you're not technical, you're going to be an observer and if you are technical or you've been brought involved in product development, I want you to participate. Okay? So we're gonna create a weather app. Or we're gonna do it on mobile, desktop web, anybody? Nerds helped me out. I know you're here. What do we got? We're gonna do a web app. All right. Excellent. So this will be like weather.com And you go to weather.com and get the weather we're going to need that. So we're gonna need please post them. We're gonna need like a website or somewhere where that web app exists, right? Any front end developers here and a UI people. I got we got a little All right, we got a couple how long it's gonna take you to shout it out how long it's gonna take you to build that UI out. Quick and Dirty. really generic to slap something together. MVP. Let's get it out. 20 minutes. 20 minutes. All right, half an hour. We got that going. All right. We've got to host this on a website. So someone's got to purchase the domain name. We've got to find the host that's going to do this for us. We've got to get that whether it'd be provided from someone as well. We're gonna need a back end developer that can tie into the weather API. Right? And the back end developers here. Okay, what how long is that? Going to take? Couple those couple dozen Yeah. Okay, before today
days all right. We're gonna start pulling this together. And there's there's reasons for that, which we'll we'll cover a little bit. Alright, so now we've got the weather that exists. We've got our API. It's got to be hosted somewhere. We have an infrastructure folks in the room. Yeah. All right. Where are we going to? We're going to put this in the cloud. We're going to choose Wix. What do we what are we going to do? We got we got one cloud native cloud native okay. You know, AWS GCP. What are we working with? AWS? Okay. All right. So we got our infrastructure in place. We got our back end API is called setup. We've got our front end, and we've got to get all these people working together that won't take any time at all. All right, so after after us nerds have a chance to figure all this out. We'd come up with an architecture diagram when we explain all these pieces. You might have seen something like this, right? This is our our website, and there's this piece and that piece and these integrations and how it all comes together and you would
see it all described and each expert could speak to these different things. Now, if we really had done this, and I was sitting up here trying to explain it to you and you're not technical. This is while you would hear right there just be I'd be like our app is amazing, right? It's like, Listen, you have to understand all these pieces they come together and it's just, it's this beautiful thing. But really what's happening is you've got a whole orchestration of experts, who are domain experts who are who know their craft who know how to do these things, who have to not only understand what you're trying to do, but bring together all the different pieces that make all of this possible. If you're at a company, you've got to sell this idea which right this is gonna go to your boss and say I need some money for this cool project. Right? And then after after you get this off the ground, you carve enough time enough expert time off to go sit down and finally build this thing. Eventually, you get to the point where you have an application, right? It's a lot of moving pieces. So if you're not technical, and you're and you haven't been a part of this process, just know that there's a lot that has to come together multiple people with multiple domains of expertise that all have to collectively come together in order to pull this off. We're getting very good at it. We've got some amazing frameworks. There's a lot of cool technology that simplifies and speeds this up, but it still requires this concerted effort. Now, if you're hearing all these things, and think, Oh, I could go figure that out on my own. No matter how expert you are, in any one field, you'll start going down these roads and you realize this is tough stuff to figure out and then to figure it out across different domains. I'm fortunate in my career and that I've been technically exposed to a lot of different things but there's still dark areas that I just like Swiss cheese I just I just there's pockets that don't make sense to me or I don't know a lot about I can barely spell AI. Like this stuff is all there's a lot that has to happen and then some new thing gets launched and your previous experience is completely irrelevant. So no matter how hard you try as an individual, it's almost impossible to bring all of these things together because there's so many moving pieces and nobody really wants to go at these things alone. It's painful. So now you've got this friend, this powerful ally that knows all of this stuff. I'm not saying it's a replacement for any of these things. I'm saying that it's not just you against the world. It's not you have to rally all of your friends together to understand all of these different pieces. We have today we have, you know, copilot for GitHub that will help you out with I don't know 70 or 80 languages. I don't know 120 I don't know what it's up to these days, number of languages and all of those languages because it's read a billion lines of code from from GitHub. I don't have to go learn how to write Java code, I can say helped me write some Java code. I don't have to learn the depths of the UI in order to build out a UI or infrastructure or the back end API details. I'm not saying experts are no longer necessary. What I'm saying is, a lot of these things are now at my fingertips while or at the API's fingertips. So what you can do is you can direct all have that knowledge and curate it and create an expert. That's your expert. We saw a couple of Leazes experts that she put together. And this isn't this chaotic world of hallucination and I don't know what's going on and everything else you're you're fine. I won't say fine tunings. That is a different context. Like you're, you're
finally focusing the GPT onto a specific task. And it's bringing with it the wealth of the human experience that has thus far been put on the internet. So you can curate it to do a very specific thing very well without yourself having to know that depth of knowledge. And once you've created that, you can ask your guru, the thing that you wish to get information about so let's, let's dig a little deeper into this right, because we're talking about the weather right? Our own National Weather Service provides an API for weather forecasts, which is totally free and available for anybody to use. If you're a nerd and you know how to do it. Alright, and for those non nerds, you might be wondering, what is an API? Okay? Well, we've talked about cell phones. We've talked about your mobile application. You've talked about your computer, your laptop, your desktop, you've got applications that you install on your, on your computer, maybe websites that you go to that do a bunch of things, your human experience with all of those things is a user interface. You're a user interacting with those applications on API is just 
the way that computers talk to each other. So in the case of our weather.com application that we're going to create, it's going to quietly behind the scenes connect to the National Weather Service and say hey, what's the weather because Jane wants to know, right? And then we'll display that through the user interface to the user to be able to access that. Okay? UI as ever, you're the user. So whenever you interact with one of these things, you're the user interfacing with the application. But when you're a computer, you're using the application programming interface to interact with the application. So going back to our architecture example, where there's all these moving parts that has to come together, the weather API turns out to just be one of those small pieces of that whole thing. So let's dig into that. Alright, you're still with me, right? If you're technical, you're like, Yeah, whatever. I've seen JSON. It's the schema describes things no big deal. In this example, this is actual the actual schema that I use here or part of it, it goes down and continues for 189 lines. But it's the computer way of communicating with other systems and saying, This is what this API is, and we'll dig into this a little bit. So the National Weather Services schema, that giant document which we're not going to go through the details of, we're getting a little nerdy here, bear with me, it won't last too long. In this case, in order to use the National Weather Service's API, there's actually two steps. And this is kind of weird. I don't like it, but it's the way they decided to do it, whatever. The first thing that you have to do is you have to get their location metadata, which gives you back a grid point. And once you have the grid point, you can pass that grid point and get the forecast. So it's two calls, you have to you have to come up with an API call to get the grid point. Once you got the grid point, you pass that to another API call, and then you can ask for the forecast information. That's how the National Weather Service does. That's one service. What if you didn't want to use the National Weather Service? What if you wanted to use something else like
open to which is a European thing that I stumbled across during this whole process? Well, they have one step. And it's some of the same information but then some other different unrelated information. It's all different and this is, this is why it takes a couple of days to figure this stuff out as a nerd even if you're an expert, you have to go. What the hell are they talking about? They got okay. It's this lattice is, is it latitude, longitude or longitude? Latitude is it you know, forget the details. It's miserable, right? Okay, so simplify this is the actual entire schema from the National Weather Service for this particular forecast information. And at the end of the day, it's really doing just a few really simple things. It says go here. And once you're there, you can do two things. You can figure out what that grid point is, with the information we explained the last slide or for that grid point, you can get the forecast. That's it. This whole thing is just explaining how to get these handful of things out of it. That's it. So us nerds All right. We have to
go to school to learn how to make sense of this. And then and then once we can make sense of it, we have to turn it into an application and make it a thing. And we had to get together with our buddies who were working on their own projects. And they're like, Yeah, leave me alone. I got better things to do. And we're gonna try to build an app. It's it's just the whole thing is painful. Alright. So what does this look like today? And in the GPT world, all right. So I'm gonna go to this national weather service API schema. Alright, I've got it. I've got the document defined here.
right. really complicated GPS. And here's where we nerd out. Now we're gonna go into the actions here and we're gonna do something here right now. So we're gonna import from URL. I told you I have this JSON ready to go. So now, all all this is this is a JSON file. So the text is just a description of where you can go that's all it is. And now it's here. It's I've imported it and I'm gonna go ahead and save this and what's the weather in Boulder tomorrow 


a real border and whether it's smart border whether it's tomorrow, right, this is actually happening. Holy shit, right? Right. All right, let's let's go back to the earlier conversation and get all my friends together. We got to figure this all out. We got to pull. There's no app. There's no website. There's no infrastructure. There's nothing I just need one little tiny file that describes what the API looks like. I can slap it together. I mean, come on. All right. Alright, so what did we just see? It made two API calls. Remember I said there were two steps in the National Weather Services API. Talk to that to get the grid good information and then get the forecasts on the grid. You saw the instructions. I didn't describe any of this. I didn't even say this is what the schema is. And you've got to call it twice. I didn't say any of that. It figured it out. So what this means is now I can create an application my weather application, my application my GPT by doing nothing, but understanding this weather API, all these other pieces. Chat GPT already provides that I can share
it with my friends. I can publish it can make it available to anybody. I don't have to do any of that. I just have to know the API schema. I don't have to figure it out. I don't have to understand how it works. You can create your own GPT as fast as I did. I'll share the share the text with you later as well. This is it. Right? All of that gets replaced with just that one. Little dump the schema thing out there. All right. And I use this example in conversation and people say yeah, but I can get the weather from anywhere. What's the big deal? Right? There's it's just about well, this is the iPhone one weather app. Right. What does it do? It gives you the weather, right? That's it just the weather. What if I wanted to do something that connected the weather and my calendar together? Well, I just showed you what it takes to describe the schema now. I'll admit being a nerd. Connecting to your personal calendar requires authentication. It's a whole nother level of things, but you know, we'll figure it out. Right, you can be careful doing it you'll get yourself in trouble pretty easily. If you're, especially with this next call. You'll see quickly. I won't go into the details. Just understand that we already did weather. So if you want to take it a step farther and integrate a calendar, well, that's another another JSON or YAML or whatever another file that describes how the API works. To describe how the Calendar API works. We can plug that in iPhone weather app do that? 
can I actually share so I can show like what I'm talking about? What is up here, okay. So, yes, the answer is yes, because in the GPT builder, you can upload knowledge into there's a section in the builder where you can upload, whether they're spreadsheets or PDFs or CSVs. And the TPT will essentially use that knowledge you're essentially training to use that knowledge to output something is