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Three Practical Approaches to Save Time Using ChatGPT’s New Apps: Value for Business Leaders
OpenAI’s latest release of ChatGPT apps signals a tangible step toward reducing the friction business professionals face in transferring, reformatting, and finalizing AI-generated content. For companies contending with “file finishing friction” — the productivity loss that occurs from moving AI-generated insights into live, actionable business documents or creative assets — these apps extend direct, in-app workflows previously out of reach. A recent episode of the Everyday AI podcast dissected how these features specifically address persistent workflow bottlenecks and offered granular demonstrations highly relevant for business owners and decision-makers.
What Are ChatGPT Apps, and Why Are They Distinct?
Launched quietly at OpenAI’s DevDay, ChatGPT apps are not just another extension or integration. These are immersive, third-party experiences built directly inside the ChatGPT window, featuring a graphical user interface. Seven apps are currently live: Spotify, Zillow, Canva, Figma, Expedia, booking.com, and Coursera.
Unlike custom GPTs (which personalize the model’s behavior) or enterprise connectors (which tap into organizational data), ChatGPT apps provide native, interactive capabilities from platforms business leaders already rely on — such as professional design (Canva, Figma) and interactive learning (Coursera) — within ChatGPT’s chat-based workspace. This allows work to remain within a single, context-rich environment, without toggling between tabs or suffering from copy-paste formatting issues.
A Hands-On Look: Three Actionable Approaches
Three specific approaches were highlighted as immediately accessible and impactful for business professionals looking to experiment with ChatGPT apps:
1. Injecting Images and Visual Elements for Contextual Creation
Uploading visuals as context for the model isn’t a trivial capability. In the demonstration, a mind map image exported from a research tool was uploaded to the Figma app inside ChatGPT. The app analyzed the visual structure and content using computer vision, then dynamically reconstructed the mind map in Figma, adjusting orientation and color scheme on request.
Consider the overhead typically associated with recreating complex diagrams, updating brand assets, or collaborating on user interface wireframes. The process, which often takes hours for those unfamiliar with design tools, can be executed within minutes, even enabling non-designers to produce and edit assets with minimal learning curve.
2. Leveraging Connectors to Enrich App Outcomes
Using connectors in ChatGPT, all recent Canva design documents from a month’s worth of business podcast episodes were analyzed in a deep research run. The content analysis, pulled from nearly 30 separate Canva decks, enabled the model to synthesize and prioritize 20 highly specific, contextually relevant AI trends. These synthesized insights then served as input for the Canva app to automatically generate a professional visual guide — a task that would otherwise require hours of research, curation, and manual formatting.
This process illustrates how apps can move beyond simple automation to true knowledge extraction and document production based on actual organizational content, eliminating much of the transfer and repackaging effort that often follows AI research runs.
3. Customizing Learning and Output with Personal Context
The Coursera app, when paired with a prompt describing the user’s preferred analogy style (’90s basketball references for technical topics), generated highly tailored learning guidance on deep learning and neural networks. While watching a video course, the user could query ChatGPT for explanations specific to their personal context, receiving analogies and summaries that matched their expertise and learning preferences.
For business leaders, this points to a practical but easily overlooked benefit: the elimination of generic, one-size-fits-all training. Business upskilling, onboarding, and professional development become more effective as learning resources adapt in real time to individual or team context, industry analogies, and prior company knowledge.
Access, Limitations, and Strategic Considerations
Right now, these apps are accessible to all users, including those on free OpenAI plans (with some regional exceptions and account requirements depending on the app). However, business, enterprise, and education-tier OpenAI accounts do not yet have access at launch, though a wider rollout is planned.
While seven apps are available, the business use cases are currently concentrated within design and online learning. The biggest early value is for those leveraging Canva, Figma, or Coursera. Travel and booking apps, while present, still redirect to external websites for payment or final steps.
From a strategic perspective, OpenAI’s move mirrors the Apple App Store strategy: drive widespread use, keep workflows natively inside ChatGPT, and eventually enable in-app commerce and subscriptions (supported by their new protocol for financial transactions within the platform).
Measurable Productivity Gains: Internal Evidence
OpenAI’s own internal tests revealed up to a 70% productivity increase in-app compared to workflows requiring back-and-forth between ChatGPT and separate third-party platforms. Even greater speed was noted with Canva (up to 400% faster for design tasks). Tasks that once required numerous steps can now be handled with natural language, leveraging AI’s contextual knowledge of prior conversations, uploaded materials, and organizational data connectors.
What This Means for Leaders and Teams
The initial roster of apps hints at a broader future: seamless, interactive multisource collaboration without the legacy hassle of context loss, file exports, or formatting breakdowns. Companies adopting best practices today — learning how to prime ChatGPT with relevant context, using connectors, and integrating visual workflows — will be better positioned to capitalize as the library of supported apps grows.
While technical hiccups remain as the apps are brand new, the direction is clear. For business leaders investing in productivity and knowledge capture, hands-on experimentation — even with today’s limited but powerful options — offers a rare opportunity to reduce real-world operational friction and bring AI-generated insights directly into finished work products.
Topics Covered in This Episode:
- ChatGPT Apps Launch Overview
- File Finishing Friction Problem
- ChatGPT Apps vs. Plugins vs. Connectors
- Supported ChatGPT Apps: Canva, Figma, Coursera
- Natural Language Context in ChatGPT Apps
- Productivity Gains: 70% Faster Workflows
- Hands-On Demo: Figma Image Editing
- Coursera Integration for Inline Learning
- Canva App Visual Guide Creation
- Real-Time Iteration within ChatGPT Apps
Keywords:
ChatGPT apps, OpenAI, AI integration, large language models, file finishing friction, productivity gains, transfer tax, format fallout, third party experiences, native app experience, embedded window, graphical user interface, natural language context, context aware, multimodal AI, computer vision, Figma, Canva integration, Coursera, Spotify, Zillow, Expedia, booking.com, inline learning support, connectors, enterprise data, personalized AI, agent kit, visual agent builder, MCP model context protocol, financial transactions in AI, OpenAI checkout protocol, subscription apps, browser integration, iterative design in AI, real time AI iteration, AI working tools, hands on AI approaches, image editing with AI, trend analysis with AI, deep research runs, productivity increase, transfer and formatting challenges, personalized app experience, AI-powered course recommendations, AI bubble risk, vendor financing, AI circular funding, multimodal context, AI design workflow, wireframing tools, sourcing AI data, custom instructions in AI, GPT-5 instant, user interface AI, live AI demos, generation AI content, AI trend spotting
Podcast Transcript
As advanced as large language models have become over the past few years, there's still a sizable gap sometimes between actually using what AI models spit out. It's a sizable gap, and I feel it myself sometimes too. I mean, I have mountains of great information that sometimes lives and dies in large language models. Because sometimes I don't wanna copy and paste and reformat, or I might use a third party products inferior AI integration because it's baked in and easier versus the one that I actually want to use because it might require so many extra steps. I call it the file finishing friction, but that could soon vanish. And the gap could close with open AI's just released chat GPT apps. Because now if open AI continues to support and improve these apps, well, you can natively chat with chat and actually finish those files in the apps where they ultimately live. So less transfer tax, less format fallout, and more just getting work done.
Alright. We're gonna dive into that today, and I'm gonna show you how on today's AI working Wednesday. We're gonna go over chat GPT's new apps feature and three hands on approaches that you can start using today and save a ton of time. Alright. What's going on y'all? Let's get into it. My name is Jordan Wilson, and welcome to Everyday AI. This is your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me not just keep up with AI, but how we can make sense of it, actually use it, and put it to work for us to grow our companies and our careers. If you're like, wait.
That's what I'm trying to do. You're in the right place. Starts here with the unedited, unscripted livestream podcast. But if you wanna take it to the next level, you gotta go to our website, youreverydayai.com. Go sign up there for our free daily newsletter. We're gonna be recapping the highlights from today's show as we do every day as well as giving you all the AI news that actually matters. But what actually matters today is getting you caught up to speed on chat GPT apps. They're launched, they're live, and even to free users.
And it is a big step forward, I think, to the future of how we will all work. I did give you yesterday on yesterday's show a little bit of a hot take on this because I actually think chat GPT apps are going to fail in the short run, but ultimately succeed if OpenAI does one thing right. So, go listen, yesterday's episode six thirty one if you want that. But on today's show, I'm gonna tell you why, we think ChatGPT apps are the future of work. I'm gonna briefly explain to you when and how you use ChatGPT apps versus when you might use something like a connector or a GPT. And then I'm gonna give you a couple live demos of three of the best use cases for chat GPT apps that are available now because, yeah, there's only seven. So the use cases aren't that great, but I still think it's extremely important. If you are a avid chat g p t user and OpenAI says that there's 800,000,000 of us around the globe, I think it's extremely important to start getting reps in now using chat g p t apps even though they're not all that great, even though there's only a few.
I do feel very confident that this is the future of work, whether OpenAI is the one that actually figures it out or Google or Claude or Microsoft or someone. But, ultimately, we are going to be interacting with websites in a chat UI. That's what apps are all about, from OpenAI. So as a very quick precursor, these are brand new. So maybe if you're like, wait. I use ChatGPT all the time. I didn't really hear about these. Don't worry.
They're actually not all in your face, right, with sometimes these these new, features. They're just splashed at you and you can't get rid of them. So you might have missed chat g p t apps, but OpenAI announced them, October 6 at their dev day conference, and they kinda got buried among some other announcements, some new updates in the API. You know, Sora in the API as well as the new agent kit and visual agent builder. So apps didn't get a lot of shine, but, you know, go listen to yesterday's episode, and I'll tell you why and why I think OpenAI kinda screwed that one up. Up. But let's just give you the very quick skinny here. So what the heck are chat g p t apps and how are they different? Well, they're native third party experiences embedded inside of the chat g p t window with a graphical user interface.
So the seven available right now, and you can interact with them in natural language, that's the big benefit. Spotify, Zillow, Canva, Figma, Expedia, booking.com, and Coursera. So, I mean, if if you're like a marketer, I I I think there's some some utility there. Right, specifically with Canva and Figma, those are probably gonna be the ones or the only ones that I'm gonna use consistently aside from just testing them out and getting my reps in. But they're distinctly different from connectors. So a lot of people are like, wait. What's the difference in GPTs? I went into that a little bit more yesterday, but essentially connectors bring in your enterprise data. GPTs are kind of personalized or customized versions of ChattGPT that you wanna create, or you want to behave in a certain way.
And then apps are literally connecting to third party experiences like using a website almost in your browser, for some of the apps. Some of the apps, it's more of like, almost like an iframe or, you know, like a floating embedded video, something like that. But we're gonna go over a couple of the different, user interfaces. And right now, you know, this is OpenAI's third attempt, right, to try to create kind of an ecosystem. Plugins failed even though I loved them. GPDs have kind of been ignored. So this is, you know, OpenAI trying to do this whole Apple thing, right, where they can charge, you know, we don't know the fees, but I'm sure it'll be maybe similar to Apple, you know, charging some 20 to 30% fee. OpenAI did, release a new protocol to bring checkout to, Chatt GBT.
So, you know, all the kind of things are lining up. Right? They recently announced a partnership with Walmart. So being able to shop at Walmart via Chat GBT. So I think there's there's gonna be a lot of commerce getting done just like you do on your phone, just like there's, you know, I think there was 5,000 new millionaires last year made, from Apple's iOS App Store. So I do think that this is going to be a, if OpenAI gets it right, a multibillion dollar endeavor in the first year. And it's built on top of, interestingly enough, Anthropic's MCP model context protocol, to define the logic and interface and work with chat context. So who can use it and, well, how? Well, one of the cool things is you don't even have to be a paid customer to use these right now. And there's a reason.
And you might be wondering, like, wait. I can be on a free plan and use these? Like, why, and and how? Well, the how is easy, and then I'll explain the the the why. The how is there should be a little plus button inside Chattopty, and then you will go to apps, and then you will well, actually, first, you'll go to add sources. Alright. So you click the plus, the plus icon, add sources, go to connect more, or you can go into settings, apps and connectors, and then browse the apps. And you, can choose from any of the seven apps. You can connect them kinda like you're installing them, but essentially, you just authorize them. So you have to have, for some of them, you have to have an account with them.
And, obviously, some of the features might be different depending on, you know, if you have a paid account or a free account, but at least these apps right now are free to use. But you might have to have an account. So there's also some regional access issues right now. You know, if you're in the EU, you might not be able to get these right away. So why can free users get these? Well, remember that thing, OpenAI has this new, checkout protocol, to complete financial transactions inside of chat g p t. That's why. Right? They want people using ChatGPT as if it was a browser because, ultimately, they will be collecting money on different types of transactions that happen within, ChatGPT. So they want as many people as possible using this like a browser.
Right? In OpenAI, we've seen some new, rumors and rants this October, that OpenAI's browser may be around the corner. But in the interim, they want people using apps just like Apple does. Right? That's how Apple one of their biggest sources of revenue is actually collecting fees and percentages from their app store when people, you know, have subscriptions and there will be subscription apps inside of chat g p t apps. So yeah. OpenAI wants as many people flocking in using these apps, but bad rollout. OpenAI. Terrible rollout, actually. Alright.
But unfortunately, if you're on a business, or enterprise or education plan right now, you don't have access to apps, although that will be rolling out soon. So what makes it so unique? Number one, it is natural language context aware. And today's, putting AI at work on Wednesday, so I'm gonna be giving you very specific examples for what that means because maybe you're listening on the podcast and you're like, what the heck? I I don't get it. That's some random jumbled words. I'm gonna, describe it to you. Also, this is one of those ones most Wednesdays. You might wanna check out the video version of this if you're listening on Spotify or, Apple, podcast. Number one, we appreciate that, but you might wanna go to our website youreverydayai.com.
We put all the videos up there. You can also listen to the podcast there for free. Alright. So you might wanna, do the video version, but I'm gonna try my best to explain this. So number one, context aware natural language. So it understands the apps, understand the context of your chat up to that point and then after. And then, like I said, being able to iterate something in real time. So if you're designing something in Figma as an example, I'm not that great at Figma.
It's a very powerful design tool. I'm way better at Canva. I'm super fast. I'm very slow at Figma. Right? And I've had to do things in, past with, you you know, one of my other businesses, helping clients design things in Figma. And a lot of times, I'm, like, googling and watching tutorials just to, like, you know, change a background color because I can't select it. Right? So imagine that being like, hey. Change that background color from green to red.
Or, you you know, make this, vertical design stacked horizontally. It can save you a ton of time. Also, there's inline learning support, and I'm gonna do an example of that and tell you exactly what that mean. But, ultimately, what OpenAI hopes this is and the most unique feature is huge productivity gains. So according to OpenAI and some of their internal testing, overall, they saw a 70% productivity increase, working in these apps, versus if you were, you know, doing the the thing I was talking about earlier, the transfer tax, the format fallout. Right? Having to constantly, you know, do something in chat g p t. Oh, and then I gotta launch another app or another window or a different browser. Copy and paste.
Oh, it's all wrong. Right? It it's can be time consuming. Right? Ultimately, maybe you have something that's a little too tax heavy and maybe you have to make a design heavy or vice versa. Right? Or you can't find the right filter, in the program you're working on. Well, it's a lot faster. Apparently, 70% faster, just doing it natural language inside of chat g p t. So we're gonna go over it right now. Today's episode is gonna be a fast and furious one.
I wanna keep these Wednesday ones because I I heard a lot of you like these. I don't wanna accidentally go 50. Right? So I'm gonna try to make these fast, super actionable, and things that you can literally start doing today. Dead simple. Even if you're not watching, even if you're just listening on the podcast. So the three hands on approaches, and I'm gonna do some demo use cases, live here for the live stream audience. Number one, bringing in, images or other elements. And I think that's huge, and hopefully, I have a fun example that will work, to start a conversation.
And I think that's especially helpful, using something like Canva and Figma. Because not only do you have to understand large language models can understand your written context, well, they have a version of computer vision. So they can understand visuals as well. Right? So I'm gonna do an example of that, and hopefully, it works. Also, that's hands on approach number one. Number two, use connectors to enrich, the starting point for your chat GBT apps. Alright? And I technically already started that one for the demo that I'm gonna show you. Because I did a deep research and it took a very long time, but I'll explain why that was valuable for me.
And then number three, you can give personal and professional context to personalize the chat g p t app experience. Alright. So those are the three different approaches that are gonna save you time, and I'm gonna do a quick demo showing you all those approaches. So let's look live. Live stream audience, holler at me if you can see this. Alright. Hopefully, we can. Let me zoom in a little bit here, so we can see.
So the first one that I'm gonna work on is actually, kind of giving the personal and professional context, while using a ChatGPT app. And, also, we're gonna try it out because, also these apps are supposed to be just aware of your conversation. You're not supposed to have to talk to them. You know, Chantipity is supposed to be smart enough and, like, if you ask for a course or something, it should know that I'm gonna give you Coursera. So we'll see how this works. It's been a little finicky, but, you know, I don't just take what a company gives me. I test it out. I try to break it.
So I'm gonna start with some context first. Also, I'm using g p t five instant. Never do this. I'm just doing it because I don't wanna, you know, wait for, you know, two to five minutes, between each prompt because I'm gonna be iterating a little bit, but don't use g b t five instant. You should probably almost always use, you know, thinking many thinking you're pro. Alright? But, I am saying, I'm saying I know a lot about generative AI, but I'm trying to learn more about neural networks. And I learn best with nineties basketball references to explain, that's supposed to say complex topics. I can't type today.
Keep that in mind as we get started. Alright. So we're good. It gives me, you know, some nineties basketball references in its, reply there, yada yada yada. So here's what I'm gonna do. Well, number one, I'm gonna put ChatGPT to the test because OpenAI says, well, you don't even need to technically talk to the apps. Right? It ChatGPT should know when it should surface an app to answer your question. So I'm going to try this, and I'm going to say and I'm even gonna say Coursera.
Alright? So Coursera is one of the apps. I have all the apps installed. So I'm gonna say, find me a Coursera course on neural networks. Alright? So, let's see how this goes, and let's see if it gets it right. Alright. So interesting. I did a test on this earlier. It didn't work.
It actually just browse the web and found me courses on the web via, for Coursera. So one time it worked, one time it didn't. Alright. So, pretty cool here. Now we have it's not a full, like, Coursera experience, but it in embedded a Coursera course, on neural networks and deep learning in the chat window. I didn't have to say anything else. Like I said, I already logged in. And I know this is a good course.
This is from, Andrew Ng. So, I can start. Alright? I can start playing this course. You may not be able to hear it, but I'm gonna kinda show you this example of the context. So I already gave it the context. Right? And I'm gonna start playing, playing this course. Alright. So he's saying, you you you know, the the concept of, the term deep learning refers to training neural networks.
Alright? So right at this point, I'm gonna ask Chad Jupp to you a question, and I'm gonna say, explain the relationship between neural networks and deep learning. So I am a little zoomed in here, but one of the big, the big value adds and time savers, and this is me all the time. Right? I'm constantly watching, you know, YouTube videos or courses, you know, trying to learn, right, like, something. If I'm having a guest on the Everyday AI Show who's the CEO of a quantum computing company, I'm probably gonna go watch a couple videos, take some notes on quantum computing. Right. And a lot of times talk with Chad GPT or Gemini. So in this case, I can go to the Coursera course without having to have multiple windows open. I can just talk to chat GBT number one about the course.
Just click pause because it's all, in the body there. But the big key here is it pulls in the previous context that I shared with it. Alright. Let's see if it actually does, does a decent job here. So it says, a neural network is a computational model inspired by how neurons fire in your brain. Right? Perfect. Then it says deep learning is when you create neural networks with many layers deep in structure. And then it says, so all deep learning involves neural networks, but not all neural networks qualify as deep learning.
It's like how every bulls player in the nineties was a basketball player, but only the ones running the triangle offense under Phil Jackson were part of something truly deep. Alright. It tried really hard for that nineties reference, with the the the the language. Probably just should have said, it probably should have said, it's like how every, player in the nineties every Bulls player in the nineties was a basketball player, but not every basketball player was on the Chicago Bulls. That probably would have been a little bit better of an analogy. It was really trying to be a little punny there. I also have one of the, custom, settings, voice responses inside chat g p t. So it's it's trying to be a little overly cheeky with me.
Alright. But there you go. There's the first use case. So number one, I I think and assume that there's gonna be other, kind of video apps in the future. I don't think, YouTube would ever go in, but I would assume, other video platforms, other course platforms, would eventually make their way inside of, ChatGPT. So there's a great example. Start with context before. Watch a course on Coursera.
You can go watch my old course even though I don't recommend it because it's super old. And then ask questions, and it's gonna keep the context in from before and personalize your answers as you go as you learn. Alright. So that's, use case number one. Let's go straight to use case number two. And this is one, that will hopefully work. Alright. Let's see how it goes.
So this is I'm going to start with visual context. Okay? So again, think. And this is, you know, for you creatives out there, you designers, you have to think of different modalities, when you think of context because it's not just, oh, I share some text and then that text can be taken into account when I'm interacting with an app. Right? Large language models are multimodal by default input and output. Right? Google Gemini, a little bit better than ChatGPT at the moment. But ChatGPT can obviously has a version of computer vision. So here's what I'm going to do in my next, in my next example. So inside of notebook l m, my favorite AI tool, love it, I have a mind map.
So I have some sources. I've been doing a lot of reading and research on kind of this, circular funding, this, you know, AI bubble risk everyone's talking about, the vendor financing, all that. So I put all of my sources into a mind map, which is pretty cool. Right? But one thing I'm like, I would use these mind maps so much more if I could tweak them and edit them a little bit, but you can't. But what you can do is export it. Alright. So I have this, you you know, this really nice and great, interactive, by the way. These mind maps are interactive.
A lot of people don't know that, but you can click on, like, a third level, third layer, node inside a mind map, and then it'll go straight in a notebook l m, and you can start chatting with that, kind of subtopic, FYI. But, what if I wanna edit it? What if I wanna, you know, tweak this? What if I wanted to put this on my website? Right? What I would have to do right now is I would have to remake this from scratch and then make my changes, which would take a ridiculous amount of time. Alright? So instead, I'm saving this, and now I'm going to go into the Figma app. This time, I'm gonna show you how to select it since I didn't do it the first time. I was given Chad GPT a quiz, and it surprisingly passed. Alright. So I'm in a new chat window. I'm clicking the plus button.
I'm going to more because I've already added these sources. Once you add and authorize them once, you don't have to do it again. And then I'm gonna go to Figma. If you don't know Figma, Figma is like, it's sort of like Canva, but a little more technical. It's great for wireframing, different user interfaces. Right? So a lot of the more professional, designers, might use something like Figma versus, you know, maybe more, not in a bad way. Right? I love Canva. I use Canva all day every day.
I'm probably not a good enough designer to be using Figma consistently. Right? So I'd say your average everyday designer is using Canva. So what I'm gonna do is I'm going to start with the context. So I'm going to upload a file. Alright? So I'm gonna upload this, mind map, and I have my prompt ready. So I'm saying, Figma, can you make can you remake this mind map mind map verbatim with all three layers? Take your time and include every node, except please change the color scheme to something more bold, some more bold colors, instruction the mind map vertically instead of horizontally. Right? Because maybe that's what I might wanna, you know, ultimately put on my website or if I wanted to put out an additional guide for our audience to better understand, you know, a this AI circular funding, phenomenon that every everyone thinks this bubble is gonna bust. Alright.
So, this is fun. This is fun. Alright. This time, it didn't do it. It's fun. Alright. I don't know why. Love when this happens.
Let's try it again. I'm not sure why that didn't happen or why that didn't work. Let's try it one more time. I did this once and it worked y'all. Alright. So let's go ahead and try this again. It's funny. The thing that, didn't work the first time with the Coursera called out work, and the thing that worked in my demos the first time, the mind map didn't work.
Alright? So I don't think I have to click at Figma because when I added, the Figma app here, the Figma icon appears at the bottom. So, this should work. Not sure why it's didn't work the first time, but I might have to, open up another window here and show you what happens when it does work. So, I will do that while, Figma okay. Now it's working. Exact same prompt. Right? This is generative AI, y'all. Gotta love live stream audience.
I'm sorry. Gotta love live demos. Right? They play around with you a lot. So, just like that Figma is, designing. It looks like it's almost done. I'm getting a little little spinning in, animation. So it's been about forty five seconds so far. Again, if I had to remake this, I don't know how to make a mind map in Figma.
I don't know. I probably have to find a square, rectangle, duplicate it a ton of times, figure out how to draw lines between those. Honestly, it'd probably take me, like, five hours or longer, and we're done. Sweet. Okay. Pretty impressive. Right? So, it says here's your vertical remake of the AI circular funding. So a great example there.
It analyzed the image with computer vision that I uploaded from the notebook l m mind map, and then it recreated it. But not only did it recreate it node per node, and now it is gonna be editable inside Figma, which I'll show you. But it also changed it pretty drastically. It went from a, horizontal mind map to now a vertical mind map, and it changed all the colors as well. So I can click edit in Figma, and that pops up a new window in Figma just so you can see this. And then I can go in and, you know, do do whatever I want. Right? But let's I don't know. Let's try something different.
I'm gonna try to say, let's consolidate the four, second layer nodes into two. I'm gonna say do your best to combine them in a way that makes sense. I don't even know if this part is gonna work, but let's let's let's push it to the, let's push it to the edge. And I'm gonna say also, let's do shades of green. Alright. So again, try to iterate with natural language. So I don't know how this is going to work because I'm actually, kind of requiring, the model to use a little bit of logic. And I'm on the chat g v t five auto mode, and I don't know how well Figma can handle that type of logic.
But looks like it did, and it's already done. Alright. So it did, narrow it down just like I said. And it actually did a good job, and I see what it did. Because previously, as an example, there was a market outlook, like, bull view was one, and then there was a market outlook bear view, and then it combined them market outlook bull and bear. So did a good job. Logically, combine these four, kind of second layer nodes in the mind map into two, and then brought in, also did some combining and consolidating on the third layer. So really, really good.
Right? And if, if, if you've ever used Figma this right here, I mean the canvas stuff. I mean, I'm super fast in Canva. My stuff's ugly. So maybe it'll help me make less ugly designs, but the Figma one, cheat codes. Right? I can see the, you know, that 70% productivity. That's that's that's huge. That's huge. I actually think the Figma stat let's see.
I I think I had the the Figma stat here. Let's see if I, if there was a specific productivity gain inside Figma. Was there no. But Canva, it said 400% faster designs. So let's do that one last. That is our last, kind of time saving feature. So let's go ahead, and this is one okay. This is one I already started on because it would take a long time.
So I did a deep research run in my connectors. Alright. And if you're confused, y'all, this is why you gotta listen to the show every day. I can't explain connectors for another thirty minutes, but you can connect different app sources. So Canva technically has a GPT that stinks. They have a connector which pulls in your data, which is great, and then they have the app. So I use the Canva connector because I have, every single day on the livestream version of this podcast, I use Canva to create a little deck with some notes and some visuals. So I literally had a deep research run that ChatGPT went through doing only Canva.
So it went through hundreds of Canva documents. In this version is I'm using, this hands on approach is using connectors to enrich chat GPT apps. So it took a long time. It took sixteen minutes, for it to go through. And I essentially asked, I said, please carefully look at the month at this the last month of everyday AI Canva docs. Please slowly and thoroughly scan each page and give me the 20 most specific detailed statements about the state of AI, new trends and development, etcetera. So, it looks like it did it. It went through 29 sources, which sounds about right over the last month, because some days I'll have multiple.
And it looked at every page. I know it did because it didn't just look at the front page of my Canva designs because my front pages are cover pages, and it wouldn't have pulled any of these things out. So it did a great job and it found, twenty twenty nice trends. Alright. I'm looking at these. I'm like, these are pretty good. And okay. How is this a time saving thing? Well, guess what? I'm probably and by probably, I'm definitely gonna use this content here, because this is what I do constantly.
Right? I'm trying to connect and spot different trends that are happening in AI. And I kid you not y'all. And this is embarrassing. I'm constantly doing research and chatty bitty deep research, perplexity, Gemini deep research. Right? All these things. And almost every single time that I'm doing a very specific deep research on something, my content is some of the content that comes up. It's a problem for me. I forget a ton.
Right? So you might be saying like, oh, why would you ever do this, Jordan? Like, the last 30 the last thirty days, you can't just, you know, connect the dots. You can't, you know, spot these trends. Absolutely not. Absolutely not. I consume so much AI information. I have to spend a lot of time using AI to help me understand and learn AI, but this is a great way. I'm seeing some connections here that found in these 20 points, these trends that were not necessarily individual facts and stats. It actually connected, unrelated, technically, news events and spotted trends, which is great.
So we have a a good thing here. So, anyways, that I did that with the connectors. So this is the the third kind of, approach to save a ton of time. Now all I'm gonna do is I'm going to call on the app now. Alright. So because I previously had my Canva, connector, right, I clicked the plus icon, I added the Canva app, and then I said, right. I said, Canva, please create me a five page visual guide, on the latest AI trends, based only on the data above. Again, I'm working with the context window that I gave it that was this deep research run across all of my last month's documents, 20, source incited, facts, stats, and trends.
And then I said, it's up to you, to the best way to, to categorize these trends, but please include all of them. Be pinpoint specific and prioritize clean design with bold typography. Alright? So again, y'all ten ten years ago, if I was working with a designer, this is probably what I something I would say. I'd be like, hey. Here's a bunch of information. Here's what I want. I want a five page guide on the latest AI trends. It's up to you first stab.
However you wanna put them together, go ahead. I want something that's super clean design, bold typography. Right? And then I essentially said, please don't ask any questions and complete this task autonomously. So the cool thing is now, I can see it working, and this is not an easy task. Again, this is something that would probably take me a couple of hours even though I'm pretty fast in Canva. Right? Number one, I'd have to find maybe a template. I wouldn't use the same kind of everyday AI daily episode template because this is much different. I would probably wanna try to make something really cool, and that looks really nice.
So I probably spent some time going through templates, adjusting it, you know, and then bunch of copy and paste. Right? This is the point where I would be paying that transfer tax. Right? The the formatting fallout. So I I I have done this demo quite a few times, obviously, because I'm doing this live. Thanks, demo gods. It's it's taking an arm and a leg forever. And I say that, which I should probably kick myself. Right? It's been, two minutes.
And I'm like, oh, how dare yeah. Yeah. You know, how dare this, you know, chat g p t app and this incredible AI technology take more than two minutes for something that would probably take anyone else two hours. Right? Let alone if you were creating this from scratch without templates. I mean, it would take, I don't know, an entire day, probably longer. Right? Even thinking before Canva, imagine having to do this in, like, you know, Photoshop or Illustrator or InDesign or something like this. It would take forever, and it's a huge gamble because, well, what if it just stinks? Right? What if it's not very good? Alright. I have no clue what's going on, because I've done this before.
Alright. So I'm actually, I'm gonna hit refresh on the page. Maybe it was done, and maybe it's just a rendering issue. Like I said, these apps are brand new. They haven't even been out. They barely been out for, like, a week, and they can get a little buggy. The Canva one has actually been one of the more consistent ones. But let me just go ahead.
I'm gonna click the the the old refresh on the page there. And sometimes, it'll actually show up rendered. Alright. Awesome. Awesome. Alright. So now now now here's what we're gonna do. Alright.
I'm gonna have to, I'm gonna have to open a new app. Alright. And I'm gonna bullet point here. I'm going into chat GBT, and I'm gonna say bullet point the, five biggest trends in AI in 2025. Give me three bullet points for each. Love typing and redoing this live. But y'all, when I say this is sometimes the realest thing in artificial intelligence, let's be honest. When you're working with generative AI, this kind of stuff happens.
I don't wanna give you some unrealistic expectation. Right? I'm not just pushing AI down your throat. Sometimes it stinks. Right? Sometimes, obviously, I'm not doing proper prompting techniques because I'm doing this live and I hate typing live. But sometimes things go awry. Alright. So it's going, ChatGvD is doing a little little bit of research. Right? I'm looking at the, the chain of thought summary, here.
I wanna pop back in on my on my other Canva. I don't know. Maybe maybe maybe Canva's broken. Right? Everyone just discovered ChatGPD apps, and, Canva's broken. Alright. So it looks like my new window. Alright. So, working on on two things at once here.
So I'm gonna get ready for once it's done, and I'm gonna tell Canva. I'm gonna say, please, put this in a simple Canva check, five total pages. Everything design wise is up to you. Let's see if we can actually, complete a demo for the Canva app. Alright. I have some custom instructions that always give me sources and always has to double check everything. That's why it took a little longer. Get rid of the hallucinations like me.
Right? All right. Here we go. So now I'm saying, please put this in a simple Canva deck, five total pages. Everything design wise is up to you. It's connecting to the Canva app. So we'll see if this one is a little bit better. Maybe the task I gave to the other version, you know, taking into account that sixteen minutes of research. Maybe I pushed it a little too far, even though I did the exact same demo and it took, like, two minutes.
I don't know. Just just my luck, I guess. You know? Jumping back over there, refreshing. Nothing. Nothing. We might've broke Canva y'all. If so, that stinks. But we'll give this we'll give it another thirty seconds, but let me go ahead.
I'm gonna wrap. Alright. I'm gonna wrap. I don't wanna the audience here to be waiting for, thirty minutes, for Canva to decide if it wants to to finish or not. But, as we wrap, I'm gonna keep my eye, keep my eye on the, Canva. But if not, I'll share it in the, sharing the newsletter if it does eventually finish, which I assume it does. But the ending to this, which is actually the best example, in Canva, is being able to iterate on something. And I'm actually gonna test now if just Canva in general, is broke.
I'm gonna say, you know, make me a, poster, for everyday AI. Right? So I'm gonna see if Canva is just broken. Might be broken. But one of the best things, about using the Canva app specifically is the ability to iterate in real time, very similar to Figma. So I think this first, kind of rush of these seven chat GPT apps, not a ton of utility, if I'm being honest. Right? All these like booking sites, I'm like, come on. Like, they still kick you to finish the booking process to the actual website. So I'm like, those are a waste of time.
You know, the some of that next ones that are coming out. Right? There's another, wave that are coming out. Maybe that second wave, I think there's 11 of them, will be a little bit more useful. But I think for for the most part, unless you spend a lot of time putting together Spotify playlist, which I do, but I kind of enjoy that. But otherwise, I think the ones that you're probably looking at right now for the most business utility are Coursera, Canva, and Figma. Alright. Good news. Good news.
Two of our three, finished. Alright. So, let's go back. So here we go. The top five AI trends. Right? It gives you actually four different versions. So, this is the second prompt I ran, you know, you know, look up twenty twenty five AI trends. So I can click one.
Alright? And then it's gonna bring a full page view, and this does look very Canvasque. Right? And from here, I can open this in Canva and edit every single thing. Right? So, let's see how it did here. Alright. Did okay. Some of it was just, like, random words and there weren't a lot of stats, so that one stinks. Alright. This next one, not that great.
Alright. This is this is crazy. This is crazy because, like, a lot right before I sat down to hit record, I ran this, worked really well. So this top five AI trends, not doing great. ChatGPT apps integrated in communication platforms. Right? So it's it's talking about itself. Good job. OpenAI Chattopty.
Alright. So it gave me some stats here. 9.4% global PC shipment increase. So, yeah, not great. Anyways, I can say iterate with Canva, and I can say, you know, make this page, you know, less busy and bolder typography. Right? So I can literally just go into any, any certain part, of Canva inside the app. So, yes, I can obviously click the open in Canva. And in this case, I would have to do it because this, Canva app pretty much failed on this.
And, oh, just great. Just great. I give up live demos. Y'all AI working Wednesday is officially canceled. It's not. Anyways, once, once this is working a little bit better, we'll have to do a full dive, but that's it. That's a wrap. Sometimes the live demos get me y'all.
But I hope the front half of this was helpful. Going over the three hands on approaches to save a ton of time. So like I said, bringing in images, and visual elements, taking advantage of the computer vision working as the context inside of Chegg TBT. The Figma example works great. Giving the personal and professional context, that worked really well inside of Coursera. And then the last one that kinda stunk and failed, right. The first half was good using the connectors to give chat g p t context, but the iterating it with the Canva app didn't work as well in our live demo as it's been working for me the last week. Go figure.
Anyways, I hope this was helpful. If so, please go to youreverydayai.com. Sign up for the free daily newsletter. I'll actually be, sharing. I'll find the example that actually worked in the Canva deck and maybe share it in our newsletter. So thanks for tuning in. Hope to see you tomorrow and every day for more everyday AI. Thanks, y'all.