Ep 554: No-Code Interactive AI: How to use Canvas, Artifacts for business growth

Topics Covered in This Episode:

1. No-Code AI Dashboard Creation Techniques
2. Google Gemini Canvas vs. ChatGPT
3. Claude Artifacts Interactive AI Tools
4. Business Analytics with AI Dashboards
5. Data Visualization in AI Platforms
6. Real-Time AI Tool Live Demo
7. Comparing AI Dashboard Functionality
8. Enhancements in AI Tool Responsiveness

Keywords:

No code interactive AI, Interactive AI tools, Canvas mode, Google's canvas mode, ChatGPT canvas mode, Claude artifacts, Business analytics tools, Data privacy, Data security, Large language models, Business growth, Custom software, Data visualization, Interactive dashboard, Cross channel trends, Actionable growth plays, Lead ID software, Marketing analytics, Content amplification engine, Search optimization, Content pillars, Open source AI, Coding tools, Data analysis, Machine learning models, AI-driven insights, AI development, Open-ended instructions, Business use case, Operational efficiency, User interface, Automated processes, Growth dashboard, Data export.

Podcast Transcript

Jordan Wilson [00:00:43]:
create. Did you know that without writing a single line of code, you can create custom pieces of software, dashboards, business analytics tools that you can use to grow your company and your career. So not only that, but it's extremely easy and the learning curve is actually so short. I'm going to show you how to do it today. Live on the everyday AI show. Alright. I'm excited for this one. I hope you are too.

Jordan Wilson [00:01:24]:
What's going on y'all? My name is Jordan Wilson, and welcome to Everyday AI. This is your daily live stream podcast and free dealer newsletter, helping everyday business leaders like you and me, not just learn AI, but how we can actually leverage it to grow our company and our career. So if that sounds like what you're trying to do, awesome. You're in the right place. It starts here with the unedited, unscripted, sometimes longer than advertised podcasts and livestream. But if you really wanna take it to the next level and be the smartest person in AI at your company, that's where you go to our website, youreverydayai.com. There, you gotta go sign up for the free daily newsletter. We're gonna be recapping the highlights and the most important takeaways and some we couldn't even get to from today's show as well as keeping you in the loop with everything else you need to know happening in the world of AI.

Jordan Wilson [00:02:11]:
Alright. So, if you want the AI news, that's gonna be in the newsletter as well. So let's quickly talk about these no code interactive AI tools. So essentially, we're gonna be looking at Google's canvas mode, ChatGPT's canvas mode, as well as Claude artifacts. Okay. So I'm gonna tell you this. I'm gonna try to do my best for the podcast audience. I know not all of you go and and check out the videos afterwards.

Jordan Wilson [00:02:37]:
This might be one of those where you might need to, but I'm gonna try to do my best to describe because what we are ultimately gonna be doing is taking data that I have. Right? And, always, right, always always know what data you should be sharing and shouldn't. I'm a business owner, so I don't care what happens with my data. I'll give it to you all. Right? It's it's it's it's all, you know, data. I'm gonna go through and tell you exactly what it is, but keep that in mind, right, depending on what type of plan that you're on. You know, if you're talking about ChattGPT, Gemini, Claude, Copilot, etcetera, always understand your data. But that's what we're gonna be doing a lot of right now is taking data and creating useful tools, and dashboards that can help us really just grow our companies in our careers.

Jordan Wilson [00:03:25]:
So we're gonna be looking at, those different ones today. So we're gonna start live. Alright? And then we're gonna backtrack, and I'm gonna, I'm gonna better explain, kind of what these three different modes inside Gemini, Canvas, ChatGPT, Canvas, and Claude artifacts, what they all do, some of the pros and cons, and some of the differences as well as hopefully get some live examples. But that's actually where we're going to start is with some live examples. Alright. So I have, kind of some longer prompts ready so you don't have to see me type. Alright? But essentially, what I'm doing, if you watched, what episode was that? Was that last week's? This is our new, you know, putting AI to work on Wednesday. So if you go back and look at episode five forty nine, we talked about custom GPTs, gems, and projects.

Jordan Wilson [00:04:17]:
So in some of these cases, I'm actually using the projects, at least in ChatGPT and Claude that we created last time that already have all of these files in there. So I don't have to really reproduce anything. But I do have 13 different files in this ChatGPT project. So if you wanna know more about how that works and the pros and cons differences, go go check out episode five forty nine. So I am in this ChatGPT project. There's some custom instructions in here as well as project files. Alright. And these, actually, let me just go ahead, put the prompts in because I wanna do all this live, and we're gonna do six total prompts.

Jordan Wilson [00:04:57]:
And let me, first just go ahead, put them all in. There's a couple of things that I need to, change here. And don't worry, I'm going to be explaining this as we wait, because some of these, and sorry. I gotta update, like, one or two things in each of these. They're gonna take a while because I'm using the most powerful models. I'm using these thinking models. Alright. So, I just sent the one inside ChatGPT using o3.

Jordan Wilson [00:05:28]:
I'm gonna go in Claude now in Claude projects. It also has access to all of my files. I'm gonna put in this long prompt, and I'm gonna go back later and explain exactly what's going on. I'm gonna use Claude Opus four. I wouldn't be surprised y'all even in the course of this live stream if I hit my rate limits. Hopefully not, but, yeah, if you listen, you know how much I despise Claude's rate limits. You can't even use the thing. So we'll see if we can actually get through it.

Jordan Wilson [00:05:54]:
And then I'm also going to put this same prompt in Google Gemini. So if you did watch that episode, number five forty nine, you know that, unfortunately, you can't use Gemini's canvas mode inside its gems, functionality. So, unfortunately, I'm just gonna have to put in this prompt. I'm gonna change this here to say Gemini canvas, and I'm gonna have to add these files manually. That's okay. Just one extra step. So bear with me y'all. Alright.

Jordan Wilson [00:06:28]:
So there we go. We have our first let me make sure I click canvas mode here. Let me make sure I did it in the others. Alright. Sure enough. Hey. This is why I love doing these things live. Alright.

Jordan Wilson [00:06:43]:
I forgot in my first one here in chat, it should be t to click canvas mode. That would probably help. It might say write or code. So, yeah, that would probably help to make sure that I'm using the correct mode. And if you're in Claude, you just need to tell it to use Claude artifacts. There's no, you know, UI button or anything like that. And then in, Google Gemini, I need to click the canvas mode. Alright.

Jordan Wilson [00:07:10]:
So we have our first prompt going. Let's do our second one. Alright? And then I'm going to explain, kind of kind of the differences here. Nothing crazy. In one instance, actually, let me just tell you this, and I'll probably read a little bit of the specifics. In the first one that I'm doing, I'm telling it all the information. I'm saying here's the data that I have, and I'm I'm more giving it, like, open ended instructions. I'm saying, here's what I have.

Jordan Wilson [00:07:37]:
Here's what I'm looking for. Go make me something insanely useful. Right? And make it work all inside here. And then in the second one that I'm running, I'm asking for something a little more specific. I'm asking specifically for some sort of tool that can help me sort, prioritize different things for everyday AI. Alright. So let me go ahead, let me copy this longer one in. We're gonna go to our second group here.

Jordan Wilson [00:08:03]:
Alright. So I am in my, my ChatGPT folder. I have canvas mode enabled, and I'm using the o3 mode. That is the best mode that uses canvas inside chat g b t. The o3 pro mode, does not, or cannot leverage that, unfortunately. Alright. Let me just make sure I change the one thing in here. I think, my my copy and paste version, said Claude artifacts.

Jordan Wilson [00:08:31]:
So I just need to change that to ChatGPT, canvas. There we go. And then I'm gonna do, the same thing over here inside Google Gemini. Google Gemini, using the canvas mode, it uses the most powerful, mode, Gemini 2.5, Pro. Alright. There we go. I'm gonna I'm gonna have to add these manually, my 10 different files, inside Google Gemini to use it in Canvas. And then last but not least, let's get test number two going inside, Claude projects in this one.

Jordan Wilson [00:09:11]:
Let me do this one. Alright. I think we should be good. I think we should be good there. Let me switch this on to Opus, and we should be off and running. Alright. Before I stop sharing this screen, I'm actually just gonna first check-in on all of them, make sure they're working, because we're gonna give them five to ten minutes, to work, and we're gonna come back, and and check on them in a little bit. So I just wanna make sure they're all they're all at least starting.

Jordan Wilson [00:09:39]:
Okay. It looks like for the most part, they are. Okay. We got the hard part off y'all. We're doing this live. So let me, explain a little bit, what's the best mode to explain this in. It might be Claude here. Let me zoom in and give you just a brief example of what I'm doing.

Jordan Wilson [00:09:57]:
So the first one, alright, I am telling each of these large language models to create an interactive dashboard that takes advantage of your project files. Right? So, in the project files case, I'm saying, the files are in there. And in Google Gemini, I'm uploading the files. So as I'm doing this, this is a real business use case that I do all the time. Right? People always ask me, well, Jordan, how are you using AI? Right? And they're like, you must have a team of, like, 20 people doing this. And I'm like, no. There's, like, two and a half of us. Right? And this is one of the reasons because I'm obviously using, you know, the latest and the greatest AI all day.

Jordan Wilson [00:10:37]:
Right? From 5AM till 10PM, I'm using things like, Gemini Canvas, CHAD GBT Canvas, Claude artifacts. I'm building myself, little tools and processes just to make, long manual tedious work much, much faster. Alright. So, and also, as I read this out, don't just think of what I'm doing. I want you to think of how you can use these three things. Right? You may not think that you need an interactive dashboard, but how many times think? How many times have used or how much time have you spent? Right? Maybe you're in a certain piece of software that your company uses, or maybe you're looking, for a tool online that helps you do something and you spend, I don't know, two or three hours researching and then you're comparing. It looks like our our Claude one is already, finishing here. And you spend hours, and then you're comparing different tools, and then, oh, you go in there and you find out it's not working how you want it to.

Jordan Wilson [00:11:42]:
Right? I can't, I'd be embarrassed to say how many times that's happened to me. Live stream audience, do you find yourself doing that all the time? Right? And now all you really need to do, right, you can create I don't know. Do you need a simpler CRM with just, certain things that you need for your sector? Maybe you don't need a whole, you know, Salesforce or Pipedrive or whatever CRM people are using these days. You can just create a very simple one yourself, just specifically for the the areas that you need it. Right? You these these aren't straight up vibe coding tools. Let me just say that right now. Right? For the most part, you can create a simple, like, one page app. You can create a a a a very oversimplified, right, piece of software with your data.

Jordan Wilson [00:12:31]:
So you're not gonna be creating a full blown, you know, CRM with pricing and login and all of those things that you would launch to the public, but you can literally create pieces of software that you would just use on your own, pretty much instantly. So a lot of these you know, I have some examples here that are done. This is like a cooking show here. Right? I I already did this just in case because all of these files and let me just go ahead, let me go ahead and read this to you. Alright? I'll probably just open a a Google Docs here, so we don't get too distracted with all of the work that's being done in the background. Alright. So just like I did last week, I'm sharing, 10 different files, and it's hundreds of thousands of cells of data. Okay.

Jordan Wilson [00:13:24]:
So this is information from Google Analytics from the everyday AI website. Right? So we have hundreds of pages on there, thousands of data points, inside Google search councils. So how people are discovering everyday AI online. So when they're googling something, you know, I don't know, ChatGPT free versus paid, You know, maybe one of our, podcasts might pop up as an example. So that's the Google Search Council data. YouTube, we used to post a lot more on YouTube. Maybe I'll get that thing going back up. I don't know.

Jordan Wilson [00:13:53]:
Should we revive the AI in fives? I I don't know if any of our livestream audience would ever listen to those, but let me know if I should keep doing those. They're time consuming. I don't know. Just say a on five. I always go back and look at the comments. Y'all, so Beehive, that's our email newsletter program. So it's every single email we've ever sent, which is, I don't know, like, 700, but there's thousands of data points in there. Probably a 100 no.

Jordan Wilson [00:14:19]:
Tens of thousands at least. Buzzsprout, that's our podcast. So it has all of our podcast information, downloads for each locations, all of that. And then Albercross, that's a piece of, lead ID software we have on our website. So those are the different we are uploading all these files and right here's the thing. This we have so much data for being a small little business. Right? Because everything we do, I put out there on the in on the Internet. And that's another reason you need to do your best with data privacy, data security, all those things.

Jordan Wilson [00:14:51]:
Right? When I'm working with clients, I'm not this lax, with data, obviously. But when it comes to my data, it's like, I don't necessarily care. So I'm feeding it to large language models. You always need to say what you can or cannot feed to a large language model. The thing, any information that is publicly available, you probably don't even know. Like, if you work at a big public company, all all the financials are online. Right? Your company's 10 k, any, you you know, financially like, financial filings. So if you work in a big public company, chances are there's so much information online.

Jordan Wilson [00:15:23]:
Or maybe if you're selling to huge companies, there's a good chance just about all of their information is public anyway. So keep that in mind. Take advantage of all public data or data that you, you know, have the okay from who's ever in charge in your organization to, yes, go ahead and leverage this data. Obviously, if you have, like, a ChatGPT Enterprise license or a Claude enterprise license. Gemini, same thing. Right. There's there's different levels of data security and privacy the further you out, the further you go up. So essentially, I'm dumping all of my information into these two, or sorry, into these three different modes.

Jordan Wilson [00:16:05]:
Google, Google Gemini Canvas, Chad GPT Canvas, and Claude Artifacts. There's different things they can do. They're not just strictly these, you you know, these coding, kind of coding tools. Right? That's really what they are. Even though all of these companies have their own kind of coding platforms, right? Google Gemini has a couple of them actually. Claude has Claude Code. OpenAI has codex. There's actually one, checking my watch here.

Jordan Wilson [00:16:35]:
I'll be able to talk about in about 15. So that's not these aren't replacements. Right? So when you're talking about Canvas and artifacts, these aren't like full blown, you know, vibe coding platforms. They're not. Right? But this is just such an easy way to be able to write and render code. That's the other cool thing. Is it's not just gonna spit out a bunch of code. It is going to create a working in many times, a working program, a working dashboard that you can share with others and you can take advantage of right away.

Jordan Wilson [00:17:04]:
So again, in this first prompt, I'm saying, essentially, here's all of this data. You know, I want you to, essentially I've looked at all this data. I want you to unearth insights that I'm not seeing. I want you to connect the dots that may be misaligned or things that I'm not seeing. And I want you to just create something of immense business value that is gonna help me grow the everyday AI show. And then the second prompt so, again, we're doing three different things, two different prompts, and I don't think they're all gonna work right away. Right? But we're gonna find out which ones work and which ones don't. Because also at the very end, of these prompts, I am saying, you know, ensure your creation renders in this given environment.

Jordan Wilson [00:17:49]:
Right? So I'm saying, hey. The thing that matters most is, like, try to make something that works with one shot, right, that we don't have to debug. But the good thing is all of these systems, if if they don't get it right, there's a lot of times a one click solution where it says, like, you know, fix bugs or, you you know, render, render code. Right? You You get a little different message and sometimes you can just click once to fix it. Or if something's broken, you can just take a screenshot of it and say, hey. This isn't working or this isn't rendering correctly, and it'll just go through and update the code. And then in the canvas or artifacts window, it will go ahead and render it. So then in the second one, I am specifically telling it that I need a fully functional interactive tool, versus in the first one, I'm just giving it open ended instructions.

Jordan Wilson [00:18:41]:
So, I'm giving it in the second one, I'm giving it five functional, requirements. So I wanted to see how the three of them could take the same data, the same prompt. They all have this functionality. Right? It is. But here's the thing. It's extremely difficult. I am asking for a ton, of these three different modes and these different models. So, I don't expect them all to work right away, and that is why I did spend a little bit of time before, right, in cooking show style, you know, saying, like, alright.

Jordan Wilson [00:19:16]:
Hey. If it doesn't work right away, I'm gonna have one that I've spent maybe two or three follow-up prompts, and they're done and ready to show. So, before we get to those, let's take a quick break.

Google Gemini [00:19:33]:
This podcast is supported by Google. Hey, everyone. David here, one of the product leads for Google Gemini. Check out v o3, our state of the art AI video generation model in the Gemini app, which lets you create high quality eight second videos with native audio generation. Try it with the Google AI Pro plan or get the highest access with the Ultra plan. Sign up at gemini.google to get started and show us what you create.

Jordan Wilson [00:20:06]:
Word from our sponsors.

Google Gemini [00:20:08]:
This podcast is supported by Google. Hey, everyone. David here, one of the product leads for Google Gemini. Check out v o3, our state of the art AI video generation model in the Gemini app, which lets you create high quality eight second videos with native audio generation. Try it with the Google AI Pro plan or get the highest access with the Ultra plan. Sign up at gemini.google to get started and show us what you create.

Jordan Wilson [00:20:39]:
Alright. Let's get right into it. Let's look at results as they come in. Alright. So we're gonna we're gonna start with the general prompt. Again, I uploaded all of this data. I gave a more general prompt or, you know, without a specific output in mind, and I just said, yo, I can read spreadsheets. Don't just create a visual that shows me this data in the spreadsheets.

Jordan Wilson [00:21:01]:
I want something that helps me grow this thing that helps me spot blind, you know, helps me find blind spots, you know, find trends, etcetera. Alright. So inside my ChatGPT project, I, again, I use the canvas mode. So, in ChatGPT and Google, it's a button you click. Artifacts inside Claude, you just sometimes need to tell it use Claude artifacts. So you'll see on the left hand side, alright, podcast audience. On the left hand side is my extremely long prompt, and then I get a response from Chad GPT, but then I get my, my canvas on the right hand side. Alright.

Jordan Wilson [00:21:39]:
So right here, all it looks like is a bunch of code. It's about 296 lines, which isn't a ton. Alright? And I'm using the o3 model. So, let's just see let's just see what what we what we get here. Alright. So I'm gonna click preview your output. So that's in the upper right hand corner. Alright.

Jordan Wilson [00:21:57]:
I'm gonna try to zoom out a little bit and maybe resize my window so we can get a little more. Alright. So the first one okay. This one's interesting. It didn't really do what I wanted it to. So it's telling me to upload fresh exports from your six data pillars below. The dashboard mines cross channel trends and surfaces, and surfaces actionable growth plays automatically. So first, let me see if it actually works.

Jordan Wilson [00:22:25]:
Okay. So when I click that, it's not showing on my screen, but it's happening. It is allowing me to upload something. So let me just try this. So let's see. It looks like okay. Looks like this one here in the upper right hand corner is for uploading YouTube data. So let me just go ahead and upload that, and let's see if it does anything.

Jordan Wilson [00:22:48]:
Okay. So instantly, when I uploaded something, it put in, like, my gosh. Okay. Like, a 100 little boxes immediately. And it's just all these things. Retention fix, retention fix. Right? So I don't see any data that it filled in, though. So in this case, didn't do a great job.

Jordan Wilson [00:23:10]:
I'm gonna click this charts button. Nothing there. So alright. First one that we gave to ChatGPT, not great. But, again, keep in mind y'all, generative AI is generative. It is different literally each and every time. Alright? Because the first time I did this inside, ChatGPT, I actually got a much better and fairly usable output. Alright.

Jordan Wilson [00:23:35]:
So let me, I love just having to jump around to 20 different screens here. I do just wanna show you this one because the first one, it it it it was fairly it was fairly clean. Let me let me do this. Okay. I gotta stop the screen share, start another one. This a love doing these things, live. You know what I'm actually gonna do? I'm gonna just share my entire, desktop. So then that way, I can more quickly bounce, between these things.

Jordan Wilson [00:24:10]:
So, apologies in advance, because you might see a lot of a a lot of things happening here on the screen. So let's go ahead and do that. We're gonna share my entire screen. So, for our livestream audience, the first time that I did this more general prompt inside, ChatGPT Canvas, I got some pretty good results. Right? So at the top, it created this growth dashboard. It's it has a little, very nice minimalistic, lots of white space. So it has these things, these little icons with sessions, podcast plays over the last seven days. Although that is, that number is not correct.

Jordan Wilson [00:24:50]:
It has the email open rate and then, you know, a certain email that performed well. It has a a site to podcast correlation, which I'm not even sure what that is. And then I have, this kind of nice nice little bar chart or or line graph, underneath. So, there's different tabs I can click. So it says Google Analytics, and I can kinda scroll. Google search council, it gives me a little list. Right? So I can click on these different things. So pretty good.

Jordan Wilson [00:25:17]:
However, all this really did so I I would say in the first instance, ChatGPT failed because it didn't It just visualized data, which is what I really didn't want. Right? I I didn't really have a need for that. And then the one I just did live for you all didn't really work. Alright. So, let's look at Claude. Alright. You gotta love it y'all. I did this live.

Jordan Wilson [00:25:41]:
Look at this. I already hit my max. I it looks like I, oh, this is fun. Love doing things live. You guys saw this. Literally, first time it died. Right? It couldn't I paid $20 a month. I couldn't do one prompt.

Jordan Wilson [00:26:01]:
I couldn't do one prompt. Gotta love it. Let's see if it actually finished this, though. But I did last night build this because I'm like, yeah. This is gonna happen. And sure enough, it did. Alright. So let's look at what, Claude did, last night.

Jordan Wilson [00:26:17]:
And I think what I had to do in this is I had to use I had to use SONNET four instead of Opus four. Because, apparently, even though I paid $20 a month, I can't run a single prompt, in Claude four Opus when I'm uploading all of these documents, which, yeah, you gotta fix that anthropic. No one's taking you seriously. Like, enterprises aren't. Yeah. If you're a developer, if you're coding, if you're using, you know, cursor on the back end, sure. But people who are using front end large language models as their business op as their AI operating system, people aren't using cloud for that exact reason. I hear from people all the time.

Jordan Wilson [00:26:55]:
They're like, you can't even use the thing. But I did use, SONNET, which is the less powerful model. So I used, SONNET four. This is from last night, and it actually created a pretty nice looking dashboard. So for our podcast audience, similarly, we have these little tabs here, and it's super slick. Right? It's super slick. You know, it has this kind of dark, gradient. I have an AI intelligence tab.

Jordan Wilson [00:27:24]:
I have a b to b prospects tab. I have a content performance and audience analytics across platform in a growth lab, which sounds pretty sweet. Alright. So I can't imagine, like, if Opus if I could actually run this once with Opus, presumably, it'd be even a little better. And then there's also some, overall stats at the top, some b to b prospects, total downloads, website views, and AI insights. Alright. So there are some filters, so I'm curious if these things are actually gonna work. Alright.

Jordan Wilson [00:27:54]:
So it says some AI powered strategic insights. So okay. This says enterprise revenue opportunity, content performance leader. Let's see. There's some little things that says take action. So I click on it. Nothing happens. Okay.

Jordan Wilson [00:28:13]:
So, okay. Some, some helpful insights, but not that I did know these things. So it says tutorial dominates with 40,000 downloads across six episodes. International market penetration, it says The UK market, shows a 173,000 downloads across 1,339 cities for a, that doesn't seem right. 197% market share. So some of these stats, not sure. It looks like some of these things are clickable. When I click take action, nothing happens, but it looks fairly slick.

Jordan Wilson [00:28:49]:
Right? So that's nice. Let me go back up, see if these, things work. So I'm gonna click seven days. Some of the stats at the top change, but the insights don't. Click all time. So it looks like just that changes the stats. There's a filter for industries. So maybe this is, it categorized the podcast episodes by industries, maybe.

Jordan Wilson [00:29:11]:
I'm not sure. I'm clicking law practice. Okay. This is actually it looks like the, a lot of the b to b lead ID information. So this is the type of companies that have visited, our website at, youreverydayai.com. Alright. B to b prospects, same thing. So I can sort that by all industries.

Jordan Wilson [00:29:31]:
I get a nice little dashboard. So okay. This tells me, okay. This is something I didn't know. So it looks like, the most companies that visit our website are higher education, universities. There's been, 346, looks like, universities that have visited our website and average, about 4.7 views. Alright. So that's that's helpful.

Jordan Wilson [00:29:53]:
Right? That's something okay. And then I can sort by country as well. I can click US, and that adjusts. It says I can search companies. Let's see if that actually works. I'm just gonna put in oh, no. Okay. So I type in one letter, and then it stops, and I have to reclick.

Jordan Wilson [00:30:08]:
So the search functionality doesn't work. The drop downs do. It's pretty right? Overall, pretty cool. One thing that I'm interested in is cross platform. So I'm not even sure what this is. It says cross platform content correlation matrix. Sounds really cool, but what is it? So it says strongest cross platform performer. So this is like b two b page views, podcast downloads, and episode counts.

Jordan Wilson [00:30:33]:
So it's not super clear what this even pertains to. I'm sure if I spend a little bit more time, I could get a little bit more value out of this. But let me go to the growth lab. Alright? So, in growth lab, this is what I wanted to know. So it looks like it's giving me some ideas. So it says content amplification engine, and then it has a medium ROI. It says AI agent content performs three times better than average scale winning teams or themes. Alright.

Jordan Wilson [00:31:05]:
So it says, you know, the performance, looks like average performance for these are 4,378, I'm guessing, podcast downloads. I'm not sure. So it says create AI agents master class series, which is funny. I literally manually planned this, like, six months ago. I already have it planned. I gotta update it now. So alright. Pretty pretty, Jim.

Jordan Wilson [00:31:28]:
Pretty good job there, Claude. Launch YouTube channel with video versions. We already have that. Develop interactive web experiences, create downloadable resources. So nothing earth shattering. Right? But if I'm ever just stuck, right, and I'm like, alright. Hey. How do I grow this channel? Do I wanna open a spreadsheet with hundreds literally hundreds of thousands of cells and open, like, 10 of them and bounce between? Or would I rather look at a dashboard like this? I'd rather look at a dashboard like this, obviously.

Jordan Wilson [00:32:01]:
Right. So overall overall, pretty pretty impressive. Right? And I can obviously make this better with a little more iteration. So unfortunately, first try live ChatGPT kinda failed, hit our hit our token limit, in, Claude. Although when I did refresh it oh, I lie here. When I refreshed it, it actually showed up. But funny enough, it made something very similar to the last time. But when I'm clicking around in it, it looks like I it looks like there were some errors.

Jordan Wilson [00:32:35]:
Alright. So if if I can reload it, alright. I'm not gonna give it any more, any more shine. But overall overall, pretty, pretty okay for one shot from Claude, but it looks like I just, hit my message limit and things crashed and burned. Alright. Let's see if Google, inside Google Gemini gave us something we could use in one shot. Bam. We did.

Jordan Wilson [00:33:05]:
Alright. Here we go. So Google inside Gemini using the canvas mode. I got this your AI growth consultant. Okay. So it looks like a simple little web app, which I like. On the left, there's some little tabs that I can click. So it says growth insights, topic performance.

Jordan Wilson [00:33:24]:
Oh, this is nice. This is slick. Audience and acquisition and, b to b lead center. Alright. This this this looks nice. K. There's, like, some actions here, which I'm I'm curious. One thing I wish, in, Google Gemini, in their canvas mode, I wish I could, move the window a little bit more.

Jordan Wilson [00:33:46]:
So I just kinda have to zoom out, and I'm old and I had bad eyes, so I can't see. So I'm even curious. This, like, b two b lead center. So it looks like these are, I don't know, just companies that have been to my website a lot, but it has this little outreach button, and I'm wondering if it does anything. So I'm gonna click it. Alright. It didn't do anything. So I'm not really sure what that outreach button is.

Jordan Wilson [00:34:06]:
But, again, this is one shot. I would probably have a conversation. So what I would do is I would go through and I would separately write down what I like, what I don't like, how I wish it could work better, and I would send that in, a prompt back to, you know, Google Gemini or Claude or Chad GBT. And there's a good chance that after maybe two or three messages, you could literally get something that looks like this, but it's fully functioning. So at least the Google Gemini Canvas version, off the bat, it looks better. For the most part, things look like they're working. So I'm looking at the main page here. Alright? So your AI growth consultant.

Jordan Wilson [00:34:44]:
So this is good because this is the only one, that didn't just, like, essentially take my data and display it, which is what I explicitly told it not to do. So, as an example, it says cross platform winner. So I have these little, these little kind of hoverable, like, icons, it looks like. So it says the topic AI tools is your strongest content pillar. So it looks like it took all my content, created content pillars, and then looked at, performance. And then it says driving significant traffic across YouTube and your website. It's a proven winner with your audience. And then it gave me, a little suggestion.

Jordan Wilson [00:35:21]:
So very nice, very slick. Again, dark mode with this, you know, bright, colors. And then it said double down on this topic, create a deep dive series, a dedicated podcast episode, or a premium guide to capture this high intent. Let me look at one more thing here. It says hidden SEO opportunity. You are highly visible for the search term AI for marketing. Alright? Didn't know that, but I could find that out pretty quickly. But your click through rate is low at only 1.7%.

Jordan Wilson [00:35:51]:
So it's telling me to optimize this page, title, and meta description for this term. Try including numbers, questions, or stronger value props to entice clicks. For instance, it's telling me to, create a create content that's 10 AI marketing tools that generate ROI in thirty days. It it also looks like there's something that says explore the topic. Let's see if this one does anything when I click it. It actually did something. Oh, interesting. Let me see if this works again.

Jordan Wilson [00:36:24]:
Okay. So let me go to that same hidden SEO opportunity. Explore topic. Okay. Explore topic general. Very sweet. Okay. And then it takes me to another portion, topic performance deep dive.

Jordan Wilson [00:36:42]:
Okay. This is very impressive. There's a couple, like, UI, UX things I might change, but this everything in here except for this b two b lead contact center, outreach button, everything else, it seems like it's working. Right? So I'm in here in this top performance. I can filter by topic. I can go to AI tools. It brings up everything with performance metrics on the number of views. So it looks like these are, okay.

Jordan Wilson [00:37:13]:
It looks like these are suggesting different pieces of content, and it's projecting the performance metrics based on, my my current metrics. So that's really, really cool. So that is the, topic performance. There's the audience and acquisition. So this is the top acquisition terms, showing me how many clicks that I get for different things. Alright. As well as an interactive chart. So it says your podcast audience is showing strong accelerating growth month over month.

Jordan Wilson [00:37:44]:
Podcast audience, thank you for sticking in even though some of these things are a little harder to explain, but we always do get the video. So, you you know, check check the show notes on our website, youreverydayai.com. This same exact podcast, if you wanna see the video version, it's on our website. Like I said, the b to b contact center, couple things weren't weren't working. But overall, the one shot general ran out of messages on one shot on Claude. Chad GBT didn't work very well, although the one I did yesterday worked a little better. And then we had, Gemini did a fantastic job. Fantastic job.

Jordan Wilson [00:38:23]:
Alright. So let's move on to our second version. Alright? Actually, no. You know what? I can I'm I'm looking at my clock. I can break break a little bit of news, that is kind of related since I just talked about Google and Google Gemini. Google is, as of this very minute, embargo lifted. So I can talk about it. They just launched their version of, you know, if you've used Claude Code, from Anthropic, if you've used OpenAI's codex.

Jordan Wilson [00:38:58]:
So now Google has their own, free open source, AI agent that is a code, a a a CLI. Right. So super, super exciting and impressive. So, we'll have more info on that in our newsletter. But, hey, a little a little treat there for our livestream audience. You are kind of gonna be the first to hear because, we can just talk about it, like, literally as of, like, three minutes ago. So, yeah, make sure to check that out in the newsletter. Essentially, their version of a code line interface AI, coding tool, looks pretty impressive.

Jordan Wilson [00:39:34]:
It's free and it's open source. Alright. Let's get to the rest here. We're gonna try to go quickly. Our second prompt, let's go ahead and look at the results, See how they did. Alright. So again, this one, I gave it more specific. I gave it five, and I'll just kinda read those five functional requirements.

Jordan Wilson [00:39:54]:
I said it needs to run fully in the chat window on the first attempt. It needs to produce actionable output as an example, ranked recommendations. Three, it needs to offer interactive controls such as a slider, drop down, or search. It needs to surface non obvious patterns, and it needs to return exportable results. So the first one, I was open ended, and I said, hey. Who can render something of immense business value right here in the, you know, canvas or artifacts window? Alright. And the second one, I gave a little bit more, details. So, let's go ahead and click the preview button here for our ChatGPT canvas mode.

Jordan Wilson [00:40:34]:
So it created a growth opportunity radar. So, it did work for a shot. Again, I will say in my experience, which is a pretty decent amount, I was actually surprised that the first one in chat g b t didn't work because normally, I think what happens is chat g b t's version in Canvas, whatever it's creating from a business dashboard, little tool, it's usually not as impressive if I'm being honest, but it usually works more times than it doesn't, which is why I was surprised on the first iteration, it just didn't really work, because usually it's more consistently working, whereas sometimes Claude and, Claude artifacts and Gemini canvas don't always work on the first one, and you have to, use them a little bit more. Alright. So, Chatt GPT and the second attempt spit out this growth opportunity radar. So there's a drop down with different strategies. There's something here with minimum search volume, search weight, YouTube weight, podcast weight, and Google Analytics weight. So I'm not really sure, what this is, and then we have a little, table down here that has different topics, scores, search volume, clicks, YouTube views, podcast downloads, and Google Analytics views.

Jordan Wilson [00:41:51]:
So it looks like it took common themes or threads that showed up in all those different areas, and it kind of gave them scores. So I'm not really sure how I would use this. So it says drag the sliders to reweight channels, gap highlights unmet demand, double down boost proven winners. So okay. Fill the gap. That's one of the things, and then double down. Alright. So let's see.

Jordan Wilson [00:42:18]:
Search weight, YouTube weight, podcast weight, Google Analytics weight. So okay. So it looks like I'm saying, okay. If I have something that I really wanna more focus on Google Analytics, I could crank this slider up, and I'm not as concerned about it ranking on YouTube. I could crank it down or search, crank it down. Okay. So everything works. I'm not really sure what business value this provides, because it's a little unclear because the topic is just one word.

Jordan Wilson [00:42:50]:
Okay. So do I just talk about ChatGPT more? So, leaves a little to be desired, although it is working, at least according to the five functionalities that I set. Again, I would follow-up with this one multiple times, but I wanted to give you all the one shot. Alright. Let's go into, Claude. So even though I hit my usage limit, it looks like it at least, rendered this. So, it looks like we have a b to b content intelligence engine, from Claude. Discover which content topics attract high value enterprise visitors.

Jordan Wilson [00:43:30]:
Alright. So if I look down, I see a couple categories and segments. So pretty good. It gave me five. Looks like my top five are LLM implementation, AI agents, content automation, AI ethics and bias, and prompt engineering. Alright. Pretty good. I probably could've figured that out myself, just dropping some, some spreadsheets and a large language model and asking it to categorize different topics.

Jordan Wilson [00:43:55]:
But this did a pretty good job here, and it gave me a momentum score, estimated b to b visitors. Right? So it actually did a good job of looking at my albatross data, seeing what companies visited what pages. It sorted those, and then it gave me a return on investment score. So as an example, I don't know where it came up with this arbitrary number. I'm sure I could read and it would tell me. I'm not gonna take time to read because all of them did also give me a prompt or a response back, and it said, like, hey. Here's what I built. But it's it's it's kinda interesting.

Jordan Wilson [00:44:28]:
So I see, right, some some companies from Oracle, SAP, ServiceNow went to these different websites on our or these different pages on our website, and it's telling me to do this as a podcast series, LLM implementation. What every $1,000,000,000 plus company must know in 2025. So pretty good. It looks like some key insights out here. Alright. Nothing nothing crazy. Let's see if the export button works. Alright.

Jordan Wilson [00:44:58]:
The export button doesn't work. I forgot to check that in the last one. Let's see. I don't see an export button in the chat g b t one. And then there's also some filters in this one from Claude in the b two b content intelligence engine. So I can go to technology. Let's see if it brings up fresh insights. Looks like it doesn't.

Jordan Wilson [00:45:19]:
It just brought up the, AI agents one. And then I can also sort by company size. So if I wanna do something for medium size, enterprises, it looks like AI agents, content automation. So3 of the five original ones, it said, are good for those medium sized companies. So overall, pretty good. Pretty good. Right? I'd say Claude, at least in the second one, did a much better job than chat g b t. Alright.

Jordan Wilson [00:45:45]:
Let's look at Google Gemini. Alright. So first, not as good looking as normal. Alright. So it says b two b growth engine. Unlock content opportunities from high value website visitors. Alright. It looks like I have some hover, sections.

Jordan Wilson [00:46:05]:
These look like just the files I already uploaded. So when I click them, it just brings me to a screen to download more. So that's interesting. Let me just go ahead and reupload this file. Alright. I'm not sure what this is gonna do. So it says upload the required CSV files to begin the analysis. The engine will process the data entirely in your browser.

Jordan Wilson [00:46:31]:
I'm not sure why I would reupload this. Alright. So, so far, we didn't really hit the mark, but I'm trying to reupload these pages. It looks like it's having me, reupload them and match them, and I'm not exactly sure why. But I'm gonna try it. I'm gonna try it before we, write off this iteration. Alright? Alright. I uploaded four or five.

Jordan Wilson [00:46:57]:
I'm trying to upload the fifth, and for whatever reason, it doesn't look like it's working. So, unfortunately, this version didn't work, and I'm also getting a an error message. It looks like I've, way too many, LLMs open or something like that. Maybe if I shut down some of these other ones, it looks like it looks like maybe this this Gemini window, I had too many things open. I kinda wanna see now what happens, if I upload all of these, if I am gonna get something, amazing, or if it's just something in my, in my prompt, in my instructions that should have been a little more clear, although the other systems, seemingly did a better job. So, yeah, looks like it's just allowing me to upload four, and then it's kinda crashing. I will quickly show, though, since we didn't get one from the Gemini, in the second one, let's see the one that I did yesterday. Yeah.

Jordan Wilson [00:47:57]:
Still didn't work very well. The, the Gemini second version. Oh, yeah. So so this is what I said before. Right? Sometimes you'll just get something that says like, hey. Something went wrong. There was a problem when running your code, and I can click that fix error button, and it'll go back and hopefully fix the errors. Right? So let's wrap this up.

Jordan Wilson [00:48:22]:
I actually had a whole a whole stinking thing here. You you know, what's best for what, you know, and we didn't even get into all of the aspects and, power, of Gemini's, canvas, Chad's, GPT's canvas, and clawed artifacts. This is just one of the things that they can do. And again, did did I were any of these good enough that I'm like, my gosh. I'm using them right away with one prompt? Probably not. Right? I did really like the first version here, from Google Gemini. I thought this was really good. It gave me some really good insights, and then I did like the version, which one that was the oh, I just had to close it.

Jordan Wilson [00:49:09]:
I like the version that, Claude did on the second, the second one as well. So some of these, I think, were good enough that I'm actually gonna go back and spend time maybe once a week going back and looking at them. And these were just essentially one shot. Right? Which is usually not a good idea to do. You always want to be able to work with them and make them better. So, I'll share this if you wanted to. Just let me know. I have a little actually used, Google Gemini, canvas mode to put together all of my notes to a sleek little, overview here.

Jordan Wilson [00:49:43]:
But let's just wrap the show, by by going over this. Alright? The results, even though there's some bugs, that's why I do these things live. With a little more work, they're gonna be really good. Right? As soon as as soon as I end this live stream, this podcast, I'm probably gonna go back in and tweak these a little bit because I see a ton of potential here. I see a lot of different opportunities both that they found and some opportunities from what I see, what these large language models created on the first try that I'm like, hey. If I tweak this just a little, this is gonna be something that I could use daily. Right? That's the thing. I use so many pieces of software, and there is so much power in these no code interactive AI tools.

Jordan Wilson [00:50:32]:
If you are just creative, if you're patient enough, and if you work with them a little, it is literally like having a no code software development coding, partner sitting by you, right, and and helping you tweak and make things better as you go. So the next time you're stuck and you're like, man, I can't get this figured out in this piece of software, or how will I ever? There's this task I'm having to do over and over, and it's so manual and and and feels antiquated. Jump in. Have a conversation with ChatGPT canvas, with Gemini canvas, with Claude artifacts, and see what you could build. Because even if you are a nontechnical person, there is a great chance that you can just go in, chat with one of these modes. It renders it in the screen, and you can even then share that with yourself or with members. Right? So you don't even have to use it inside ChattCPT. You can get a public link, and use that yourself or share it with team members as well.

Jordan Wilson [00:51:33]:
So, this is not just creating something for yourself, although I think that's the way to get started. These aren't fully, you know, software engineering platforms. It's for quick, simple, little web apps, little business dashboards that can take some of the mundane processes out of of doing your day to day, resource heavy, analytics heavy tasks. So I hope this AI putting AI to work at Wednesday was helpful. If it was, please let me know. Let me know what you wanna see next. I work for you. Also, please go to your everydayai.com.

Jordan Wilson [00:52:12]:
Sign up for the free daily newsletter. Do me a favor. If you're still listening to this, go read today's newsletter. Right? So if you're on the live stream, it'll be out in a couple hours. Reply to today's newsletter. Tell me what you want to see next week for our putting AI to work on Wednesday. So thank you for tuning in. I hope to see you back tomorrow and every day for more everyday AI.

Jordan Wilson [00:52:36]:
Thanks, y'all.