Leveraging AI

153 | Mastering AI Tools: How ChatGPT Projects and Canvas Unlock Transformative Business Value with Isar Meitis

• Isar Meitis • Season 1 • Episode 153

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Is AI falling short of its potential in your business?

With all the buzz around OpenAI’s latest updates, it's easy to get overwhelmed. But the truth is, some of the most groundbreaking tools—like Projects and Canvas—are being underutilized, and that’s costing your business.

In this episode, we’re breaking it down. Host Isar Meitis dives into the transformative capabilities of these two tools and explains how they’re more than just shiny new features—they’re the key to unlocking unparalleled efficiency and customization in your day-to-day operations.

From organizing client projects with precision to crafting seamless collaborative documents, this is your guide to taking AI beyond the basics and using it as a business game-changer.

In this session, you'll discover:

  • How Projects solve the problem of missing context in AI interactions.
  • Ways to organize and tailor AI tools for clients, marketing, sales, and more.
  • The magic of Canvas for creating polished documents collaboratively with AI.
  • Real-world business applications to boost productivity and streamline workflows.
  • Insider tips to leverage AI for better proposals, brainstorming, and content creation.

 Want to see these tools in action? Attend our Friday AI Hangouts every week at 1 p.m. ET. Bring your questions and let’s collaborate. The link to join is in the show notes.

Next Up: Mark your calendar for January 9th’s 25 AI Use Cases and Tools in 25 Minutes webinar. It’s fast, impactful, and full of actionable insights. Don’t miss it!

About Leveraging AI

If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

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Hello and welcome to Leveraging AI, the podcast that shares practical, ethical ways to leverage AI to improve efficiency, grow your business and advance your career. This is Issar Matis, your host, and I've got a special episode for you today. At the end of 2024, OpenAI OpenAI treated us with an amazing holiday gift that they called the 12 days of OpenAI. Now, they've had multiple great releases. I'm actually recording this episode before I know what the last three are. But putting that aside, everybody was expecting to get Sora, and we did. Everybody was expecting to get the full chat GPT 01, and we did so a lot of excitement around there, multiple developer advanced capabilities and stuff like that. But from my perspective, the three most impactful tools for day to day work are actually the ability to share your screen with Chattopadhyay as well as share real time video with Chattopadhyay and interact with it projects, which I think is a huge, incredible capability that was really missing and that provides a lot of value and canvas in custom GPTs. Now, those of you who don't know what I'm talking about, don't worry about this. We're going to dive into two out of the three, and I'm going to show you a specific use cases and explain to you how you can make the most out of these amazing capabilities that we never had before. So you can start benefiting from them in your business. And that is going to be our focus of today's show. Now, before we dive into the two tools out of the three that I want to talk about, I want to give you a little bit of background. There's been a lot of communication recently claiming or arguing whether the development of AI large language models is slowing down. Sundar Pichai specifically said that there is a slowdown, that the heel is steeper, that the ROI is declining. On the other hand, you have sam Altman, the CEO of OpenAI, and Dario Amadei, the CEO of Anthropic, saying it is no slowing down, there is no wall. So, it's pretty clear. Up for debate, but what is very clear is that there is a change in direction in all the large companies. And that direction is actually very helpful for us. And I will explain. If previously the entire focus was on let's train a bigger model with more compute and more data. The focus right now is providing smarter solution that will provide more business value. And that comes into shapes in the past couple of months. One of it is reasoning models. So models that invest time in thinking of every step of the process before they execute, rather than being 100 percent based on the training data that they have. So Chachapiti 01 was the first of these models. And we're going to see more and more of them because all the different companies are working on the same thing. But the other big one that has been maybe neglected a little bit in the news, but I find it to be maybe the biggest thing that happened to AI so far is a big focus on tools, meaning how to take the existing capabilities, stuff we already have, and just packaging it in a way that will provide a lot more value to us, the users, especially if you are in business and you're using is for business use cases. And so, as I mentioned in the intro, the three biggest things that we just got, that are new tools that are building on top of existing capabilities. One is screen sharing, and the ability to also open your camera and show Chachapiti what you're looking at and get their feedback on that. I will probably do a complete separate episode about those capabilities because there's about a gazillion use cases we can dive into. So what we're going to focus on today is How to use projects in ChatGPT, what they are and how to apply them for multiple business use cases. And the other is going to be Canvas in general. Many people don't even know what Canvas is in ChatGPT. And those of you who do know, maybe don't know how to push it to its limit on how to use it. Or maybe you don't know that now it's available within custom GPTs. And if you don't know what custom GPTs are, don't worry. We're going to talk about this in the episode as well. So let's get started specifically with projects. And I will start with describing what projects are and then I'm going to share my screen and explain exactly how to use them and give you a specific business example on how you can apply this. But projects really provide us two things that we're missing from ChatGPT and to be fair, missing from all the other models as well. Number one is the ability to organize our chats into Folders. So projects are these containers that you can open on the left side of ChatGPT. Again, I will show you how it looks like in a minute. And for those of you who are listening, don't worry about this. I will explain exactly how it looks like on the screen and how to find it. But you can literally create these folders where you can now aggregate or organize all your historical chats because you can drag and drop chats in and out of these folders. Which will allow us to have a much better structure to all of our conversations, which is definitely a great step forward. If you remember, just recently OpenAI added search, which allows you to find older conversations very easily. But now being able to look into specific folders will make it even easier. But I think that's not the biggest benefit of projects. And I think the other benefit, which is more important is why they call it projects versus just folders. So for that, I will open chat, GPT, and let's look how it looks like. Again, if you're just listening to the podcast, I will explain everything that's on the screen. Or if you have the time to switch to something in front of the screen, if you're listening to this in front of a computer or where you're not driving or walking your dog, you can go in the show notes and find the link to our YouTube channel. And then you can watch what's on the screen as well. Okay, so the way projects work is, as I mentioned on the left bar where you have your custom GPTs and you have the history of all your conversations, there's now a new section called projects. And as I mentioned, it looks like folders And you can drag and drop conversations from your history into each and every one of the folders, just like I'm doing right now, and then it's going to appear over there. But that, as I mentioned, is not the big deal. The big deal is, if I click on one of these projects, you can add instructions and you can add files into each and every one of those folders, similar to what you can do with custom GPTs. But it's very different from country GPTs, and I'll explain what are different use cases that you can use it for. So as an example, you can see that I have several different projects that I've already created. One is called strategy. The other is called speaking gigs. The third is called courses. The next one is called sales. The other one is marketing. And then I have clients. I have client one, client two, client three. I just did it this way. So you don't know the names of my clients, but afterwards I will change it back to the actual names of the clients. And I have leveraging AI, which is the podcast. Now, the reason this is very powerful is because I can provide background information that is relevant for each and every one of these topics or for each and every one of these clients. And then every conversation I have. We'll have all that information to use in order to give me better output. So let's take a step back before we dive into why this is important. And I'll give you an example of how I'm actually using it. The biggest problem all these tools have is they lack quality. Context. They don't know anything about you. They don't know anything about your company. They don't know anything about your industry, about your niche, about your clients. What are the things you're working for your services, your products, your benefits over your competitors, all the stuff that you and other people in your company take for granted. The AI does not know. And that's why if you don't provide it, that information you're getting answers that are Yeah. Not impressive, but if you provided all that information, if you provided all that context, you can get significantly better results that would be customized to all that universe that you take for granted. And so does everybody else in your company. Now, there were two ways to do it so far. One is to create a custom GPT where you can upload all that information and then give it instructions to do something very specific for that client. As an example, I have these GPTs to write code. drafts for blog posts on my behalf to write drafts of posts on LinkedIn on my behalf, and so on. I then review the drafts and I make my own changes, but the drafts are being created based on historical information that I provided it about myself, about my background as an entrepreneur. I give it examples about the way I write, so it writes in my tone, et cetera, et cetera. So then it can write just like me and provide me great graphs. The disadvantage of that is that it's obviously, it's limited to that particular task. Many of the instructions are very geared towards writing a blog post versus I want to talk to you about everything about this client so I can get better ideas on what to do or write better proposals for them or whatever the case may be. So I can continue creating a thousand of these GPTs, which is not necessarily efficient, especially if it's just a day to day ongoing stuff. I don't want to create a hundred GPTs, but that was the solution we had so far. The other solution that OpenAI provided us is long term memory. So OpenAI has a memory function where ChagGPT on its own decides what it thinks is important about you, about your company, about your industry. And it's going to remember that now. In general, that's not a bad idea because now it's going to know more and more about you and will provide you better and better results. The disadvantage of that is you have very little control on what it's actually going to remember and what kind of information it decides to put in its memory. The bigger, Problem is when you're touching on multiple aspects of your business, you will still remember all of them. And if you're like me and you're in consulting and you have multiple clients, then it gets completely confused because it doesn't know what information relates to which client. And it's going to remember all of that. And if you want to make it even more extreme, if you have several people sharing the same account, in my particular example, my kids are using it for schoolwork, for research, for gaming that they're building and for That totally throws the AI off as far as what is the goal and what am I trying to do? Projects solve that problem. So let's look at client one as an example, if I open the client, one project, you will see that I can run a chat, just like in any other model. I have all the tools that I had before. So video tools and so on, I can attach files, et cetera, et cetera, but I can also add custom instructions to explain to it about this particular client. And I can add files. And in this particular case, you can see I added six files. So what are these files? The files are the following. The files are called culture, Course proposal, consulting agreement, people, workshop proposal, and about each and every one of these files is providing information to the chat, but to every chat I'm going to have within this project about this client. So it has the course that I've done with them, the AI course that I provided to them. It has the workshop that I provided to them and all the details. And if I wanted the communication about it from Slack or from emails and so on. I have the consulting agreement that I have with them. So the AI knows everything of what I'm doing for them and what's in scope and how do we work together and everything that's defined in the agreement. But it also has an about PDF, that about PDF I actually took from their website. I actually took from their website and then just uploaded it here. It has a lot of information about what they do, what products they sell, what are the benefits, why are they're leading in the market? And so on. I also added an about thing that I created and the way I created it is using voice mode in chat GPT. I literally just open voice mode and explain to it what I'm trying to do, which is to tell it everything it needs to know about this client. So it can help me better in the future. Yeah. And it asked me about 15 different questions that I just answered with voice. It's just like having a conversation with somebody. But then I took that and save that as a file and upload it into the memory of the project. So now it knows everything I said about this company and everything that it needs to know about it. But then there's two separate sections out of that. One of them is culture. This company has a very unique culture that really makes everything they do different. And it's very important that the eye knows that because it can then refer to that when it provides me every output that I need, whether it's ideas or resolutions for problems that I'm having or brainstorming or content that I want to help them create all of that. Is relating to their culture. And then the last thing is people I described one by one, each and every one of the people that I'm working with in that company, what they do, what do I think about them? What's their personal approach to things have been and everything I know about them. So then it can refer to that as well. So all of that prep work I had to do once. But now every conversation that I have about this client knows all these things and will be significantly more specific without me having to prompt it every single time and waste half the context window on explaining about the client. This is already built in. I don't have to waste time. I don't have to waste memory and it's just magical. So two examples that I have here. One is a consulting services proposal. So they asked me to provide them another proposal with additional consulting capabilities that were not included in the original scope. And the AI was able to create for me the draft for this proposal in seconds, because it understands. Everything about this client. It has the previous proposal, so it knows the exact format that I'm using, and it created a very good first draft for me in a few seconds. All I had to do is explain with my voice using the voice activated solution on what is it that I want to provide in the new scope of consulting. The other one is client relationship strategy. I have a situation with that company where they brought in another firm, another consulting firm, which is perfectly fine. They're not really competing with me. They're doing other stuff, but there is some competition. Overlap and I want to prevent issues that can arise in the future, and I just needed somebody to consult with and brainstorm with on how to reduce the friction with the other company and potentially even how to create great collaboration with them in this client and with other clients as well, because we do complementary things. So I had a brainstorming session with the A. I. But again, it knows everything about the company, about its history, about what they do, about what they're doing with me. And then he was able to ask me about what is the other company doing. And then it really helped me think through how can I approach this in the most effective way? This is pure magic. Now, as I mentioned, I have other folders for. Strategy, my strategy, my business strategy, where I explain everything about my business, about the different clients, about who do I serve, how do I serve them, about courses. When I come to plan courses, so it has all my courses, content, all the feedback, all the testimonials, all of that is built into now a universe. That I can operate in and get significantly better tailored and a lot more value from every single conversation without any fancy prompting and prompt libraries that explain everything again and again. I really think this might be the most valuable thing that ChachiPT gave us in the past year. It's an, it's a game changer when it comes to its ability to understand your specific needs on specific topics. Like I said, this could be a marketing thing, or if you want to go deeper in your company, you can do social media, marketing project versus blogging versus. Video marketing versus paid marketing. And each and every one of them will have a universe of data and different instructions, and then yet still people can have conversations with it that will have that as part of context. And as I said earlier, context is the most important factor when it comes to getting good results from these large language models. So this is what I wanted to share with you about projects. Try it out. Start with one thing. It doesn't matter what it is. It could be an aspect of your business, could be an aspect of your personal life, could be a specific client, give it as much information as possible. And as I mentioned, you can use voice to create some of that information, but many of these files you already have, you can download communications upload them here and so on and so forth. It's Amazing. Don't miss out on this really important capability. Other amazing tool that I want to share with you that Chachapiti has given us is called Canvas. Now, Canvas is not new. They released Canvas a couple of months ago, but Canvas in custom GPTs are new. And we're going to explore both at the same time because both capabilities, custom GPTs and Canvas and the combination of them is absolutely magical. So this can help you create. Drafts, documents, very detailed in a collaborative way together with AI, with your ability to really be involved back and forth in the process while doing this in an automated way. So let's take an example. I'm planning charity events and in this particular case, and I created a custom GPT to help me create a script. Or videos that I'm going to use to promote those charity events. So what is a GPT? A GPT is basically a set of instructions that allows you to repeat a process. And then we have a gazillion repeatable recurring events. Things that we do in our business, in every single department, you can build these mini automations that can do that. Now, this is a very simplistic example for us to use in this episode, but I have probably 20 of them that I use regularly in my business to do multiple aspects of my business. They appear on the top left corner of ChatGPT. And if you want to see how to use it, there's a button called explore GPT in that button. When you click on it, you have all the GPTs that people shared in the GPT store. So there's millions of them that do multiple things and you can search for them. But on the top right corner, there's a create button where you can create your own GPT. Instead of doing that, we're going to go to one of the GPTs that are already created. That's called fundraising script. And again, this is just a simplistic example. What the GPT has inside of it is a few things. It has a name in this case, it's called fundraising script writer. It has a description, helps write scripts for fundraising, and then it has instructions. Again, in this particular case, the instructions are really short. You're an expert script writer specializing in writing scripts. for fundraising for non profits. Your task is to assist the user in writing great scripts for videos. All scripts must include the following components. Background, the why, what we are doing to solve the problem, and a call to action. Your first task is to ask the user as many questions as necessary to identify all information You need to write a script according to the four topics above, do it in canvas. So this is where I add my request to add it in canvas, which we're going to see what it does in addition to that. Now, in addition, I created a conversation starter. A conversation starter is basically a button that's going to appear that will allow people who do not know what the GPT does to start interacting with it, because otherwise you just, Staring at it, and you don't really know what to do. So in this particular case, what I wrote is wrote, please help me write a script. Now you can add as many of these as you want, and you can even refer to them in the instructions. So different things will happen depending on which buttons people click. Now I can upload files. In this particular case, I will upload files about my company and about the charity and about what we're donating for. So it has all that information in its database. And then there's capabilities. These capabilities can be web search, canvas. Dali image generation and code interpreter and data analysis. In this particular case, all I need is web search so he can search stuff about the event or about the charity. I need Canvas because I want to use Canvas, which will explain in a minute what that is. And I want Dali because I want to be able to create images that will give me ideas when I actually do the script or when I want to send it as an email and so on. So let's see how this actually works. Operates and see what canvas does and we'll also combine it with voice capabilities because that makes it even more powerful. So when I open the GPT, which is just clicking on it on the left menu bar, you can see it has the name fundraising script writer by Isar Matis helps write scripts for fundraisers. And I have the button that I created that says, please help me write a script. When I click on the button, ChatGPT will follow up explaining what it's going to do and asking me the questions that I ask it to ask me. Now, the reality is I requested it to ask the questions in Canvas. So what I have right now is I have a bunch of questions That I need to answer. So it says to craft compelling fundraising scripts for your nonprofit video. I'll need some information from you. Here are the key areas I'd like to explore background. And then there's three questions, the why, and then there's three questions. What are we doing to solve the problem? And then there's three questions and then the call to actions. And then there's three questions. Now, what I can do because canvas is a collaborative environment. I can literally go to each question, hit enter. And then write the answer. This will allow me to collaborate back and forth with the AI inside the document. And then, based on that, I can go ahead and ask it to create the script. Another thing that I could do that is even cooler is to actually use voice mode. Right now, Advanced Voice Mode is integrated into everything in ChatGPT. And so what I can do right now is literally click the Voice Mode button, which looks like a sound wave on the bottom right of the prompt section in ChatGPT. And I can literally click on that and just answer the questions. So let's do this very quickly so we can continue and I will show you even more things you can do with Canvas. So I'm clicking on the voice button and starting Chachapiti hi Chachapiti, I'm going to answer all the questions that you provided me in voice. So background, what is the name of a non profit organization? It's ISAR's Charity LTD. Got it. ISAR's Charity Ltd. What's your mission or vision? My mission and vision is to help local teens to do better in their lives while supporting the community. The next question you had is, can you share a brief history of context of your organization? We've been doing this for a few years here in our local area in central Florida. Then you asked about the why, what specific problems or issues we are addressing is we're helping teens find purpose and find activities that they can do to help the local community. Why is this issue urgent or significant? It really helps the local communities while raising a new generation of people who are community aware Your last question was how does this problem impact individual or communities? It is helping We're working with multiple people across various levels of society in our area develop a younger generation that is aware of the issues that surround them. And that are willing and driven to help with that. Let's stop with this. I wanted to summarize that in a document and add it to the Canvas. I've summarized your input and added it to the Canvas. Let me know if there's anything you'd like to adjust or expand on. So what I have right now is I have a new canvas in the conversation that has all of that information that I just gave it. And what I'm going to do now is I'm going to ask it to write the script for my video based on the information as well as the structure it had initially. So I'm typing in this particular case. Please create a new canvas with the video script using the information I provided. Please create the script. In canvas. Now, in many cases, you don't even have to say you want to create it in canvas. It will do it on its own. But the benefit of asking is you a guarantee that, by the way, you can also create canvas with stuff that you have from before. So you can upload a document and then Engage with that document in Canvas and I'll show you in a minute what I mean by engage with the document. So what's happening right now is it's writing a script for a video for me that will take into account the information that I provided with my own voice. So I didn't have to type a lot that will fall. That follows the question that it has asked me based on what the document is. Based on the instructions in the GPT. So the GPT told it what questions to ask, or not exactly, but what topics to ask about. I used my voice to provide it information, and now it created me the script. So the script has Opening scene, narrator with voiceover, tells me what the scene should have, what the camera should look like, and so on, and then what are the transitions, what are the other scenes, etc. Great script. But, let's say there are sections I don't like. So in the opening scenes, it says, upbeat music plays as scene of teens helping out in the community, flash on a screen, planting trees, organizing food drives, and mentoring younger kids. this is great, but it's too generic and I want to give it instruction. all I need to do is I need to highlight just that section. When I highlight the section, a pop up shows up that I can either ask ChatGPT to do something about this, Or I can bold, italic, or change the font because this is a word editor. And we're going to get to that in a minute, but I'm going to click on, ask JetGPT. And I'm going to give it additional instructions. We actually only focus on activities that relate to helping other younger kids with homework after school activities. And social skills. So now it's going to rewrite. This section, just this section, everything else stays exactly the same based on the additional information that I gave it. Now, the really cool thing that additional information could be something that I have from before, right? I can attach a document, upload it and say, change the section based on the attached document. I can take texts that I have from before and paste it in there and say, I want you to use this text that is a transcription of a podcast that I did, or a speaking gig that I've done, or a, Meeting that we had in the company that we have recorded because we've done it on zoom, and I want you to take the top points from that and incorporate it into this section of the text. So again, now the new updated opening scene up to upbeat music is playing as scenes of teens mentoring younger kids helping with homework. Leading after school activities and teaching social skills, right? What I told it to write. Now I can ask it to make it more detail and come up with ideas and it will do that and so on. This is me going back and forth with the AI on a specific section. The other thing that it enables me to do, this is a word editor. I can literally add a line and write whatever I want. And so I can add my inputs into there just with regular text as I want to add it. And I can do this in multiple segments, either changing what the AI suggested or adding or deleting stuff that it has created. So it's a completely collaborative environment. Now, the last thing that I want to share with you, in addition to all these really amazing capabilities is on the bottom right of the canvas, which is the right side of the screen. And on the left, I have my regular chat. So on the right side of the screen, which is just like a Word document, but it's collaborative. I have this menu that can pop up. The menu has several different functions. One is add emojis, which I've never used, but if you like emojis, that's pretty cool. But the other functions are highly important. The first one is called add final polish. What does that do? So if I went back and forth and made a lot of changes to the original document and added my own thoughts and added text that I've written and changed specific segments, it may not flow the way As it did originally when the AI created it. So clicking on add final polish will go through the document and will make sure that it flows properly and that language is at the same quality and the same tone across the entire thing. Just like a good editor would do. The next function is reading level. It looks like a little book and when you click on it, you can either drag it up or down. The basic level that it starts with is keep current level, but you can go all the way up to graduate school and you can go all the way down to kindergarten. And when you do that, it's going to rewrite either the entire document. If you haven't highlighted anything or a specific segment, feeding. Aligning it to the writing level of what you have defined, again, an extremely powerful capability. The next option adjusts the length of, as I mentioned, either the entire section or just what you highlighted, and then you can make it longer or shorter. And then the very final thing suggests edits. This is really cool. If you click on suggest edits, what happens is it's going to go through your entire document or the section that you've highlighted, and it's going to give you So you're on the right side, just like you would see in a Word document when somebody's giving you comments. So you're going to get like a highlighter thing on specific rows, and each and every one of them there's going to be a comment. That comment will tell you what Chattopadhyay thinks can or should be changed for that particular section. And for each and every one of these comments, you can either go in and edit based on its suggestion, or there's an Apply button. If you click the Apply button, it will actually go and make the suggestion on its own. So, by very first section on the voiceover, it suggested the following change. Consider elaborating briefly on how ISAR transforms communities to make the mission more vivid. Because it only gave it one sentence. When I hit apply, it is going to, on its own, rewrite that section. Now again, if you go back to what we talked about in the beginning, if I would have provided the relevant information to the GPT, to the automation about my charity, it will know a lot of stuff, and then it can write relevant things into the GPT. whatever thing that you want to use. I want to do a quick summary and maybe help you clarify this in your head because I know we covered a lot of things. Canvas is a collaborative environment that allows you to go back and forth with the AI. On the left, you have your regular chat with AI and on the right, you have a document. That document could be something you uploaded and then you go back and forth with AI to improve. It could be Generated by the AI and you going back and forth to improve it, you can make changes to specific segments by highlighting them and providing it instructions. You can ask to work with the entire document either by telling it what you want to do or by clicking on the menu on the bottom right and making changes to it. Now that existed before, and you can do this in regular chats. But the cool thing now, as of the 12 days of OpenAI, is that it's also available in GPTs, and you can do things like we just did in this example. You can create an automation of anything in your company. Writing proposals, replying to emails, creating draft marketing content, reviewing financial information, whatever the case may be. And then still having Canvas work within that to generate the information so you can collaborate back and forth and get to a final or very close to a final product within ChatGPT with a lot of help from the AI. Both the capabilities we talked about today, projects and Canvas and specifically Canvas in projects, add significant value. To any business operation across almost every aspect of the business. So go test it out, look for examples, go watch my YouTube channel. There's a bunch of other examples over there. And if you have any questions, please come join us on our Friday AI hangouts. A lot of people come every single week. We do this every week at 1 p. m. Eastern. There's going to be a link in the show notes for you to join if you are interested, and then you can ask questions on exactly how I'm doing of exactly how I'm using it. Or if you try to use it and things didn't work properly for you, come and show me, and I will gladly share with you how to solve that problem. and how to solve or improve what you did. That's it for today. This week's live on January 9th is going to be incredible. It is called 25 AI use cases and tools in 25 minutes to open 2025. It is going to be drinking from a firehose. Of complete and pure gold of value on 25 different use cases that I use for myself and for my clients and the tools that I'm using and all of that in 25 minutes after that is going to be an open Q& A session where anybody can ask me about each and every one of the use cases. So, if you are available at noon Eastern on Thursday, the ninth, please come join us again. The link to join is going to be in the show notes and until then have an awesome rest of your week.

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