NEW ChatGPT App Store: How to Use OpenAI’s Latest Update (Full Guide)

Open AAI made an announcement that most people completely missed. Wasn't a new model or mind-blowing video generation was something that could change how you interact with every app you use. I'm not talking about those custom GBTs that nobody uses. I'm talking about real apps you've used every day like Spotify, Door Dash, Adobe, Uber, Canva directly integrated into your casual chat GPT conversation. You can order food, book flights, create designs, all without leaving the chat. Sam Alman said it

himself. We are moving from a systems you can ask anything to to do anything for you. So OpenAI just launched its app directory. Basically an app store and it's designed to replace your entire workflow. Instead of thinking in chat GPT and doing everywhere else you can do everything in one chat GPT conversation. Now let me

explain how this actually works under the hood because this isn't just another API integration. It's built in something called the model context protocol. MCP, think of MCP like universal translator for AI. Before MCP, every app spoke its own language. Spotify had its API, Canva had its API, etc. And if ChatGpt wanted to talk to them, it needed custom code for each one, like learning 100 completely different languages. MCP changes that. And more importantly, it's proactive, not reactive. For example, you say, "Book me a flight to Miami next weekend under $300. " ChatGBT reads your intent, checks which travel apps you've connected, sees you have both Expedia and Booking. com authorized, automatically queries both, compares prices, and presents the best option, all in one response. That's the shift. The AI understands what you want, and autonomously chooses the right tool. You're not managing apps. You're just having a conversation and the apps execute in the background. This isn't a plug-in. It's not a shortcut.

It's ChatGpt becoming an operating system for your digital life. The scale is wild. Chat GBT has 800 million users. If even 10% of those users start running their workflows through this, we're talking about a fundamental shift in the app ecosystem. Spotify, Apple Music, Door Dash, Uber, Zillow, Expedia, Bookin. com, Canva, Adobe Photoshop

Gmail, Google Drive, Dropbox, GitHub, Figma, Corsera. These aren't startup experiments. They are apps you actually use. Now, before you think, wait, I'm

giving Chad GPT access to my Gmail, my Google Drive. Isn't that risky? Let me show you how OpenAI handles this. When you connect an app, you're granting specific limited permissions. For example, if you connect Google Drive, ChatGpt can't just browse all your files. And if you choose read only access to specific folders or can create new files but not delete existing ones. Every permission is scoped. And here's the key. You can revoke access instantly. Let me show you where this happens. Open Chat GPT. Go to settings in the bottom left. Click apps. You'll see every connected app. Click on any app. Let's say Gmail. and you'll see exactly what permissions it has. Can read emails, can send emails on your behalf, can access calendar. Don't like that. Click disconnect. Done. The app is disconnected immediately. This is critical if you're going to trust an AI to manage your tools. You need visibility and control. Open AAI learned from the GPT store disaster. This time, they're building with security first. Now, let me show you how it actually works and then we'll test five apps live so you can see the workflow in action.

All right, let's connect an app. Open your Chat GPT and try with me. I'm going to use Apple Music as the first example because it's simple, useful, and most people already have it. First, you open ChatGpt. Go to settings in the bottom left corner. Click on apps. You'll see a list of apps you've already connected. If this is your first time, it'll be empty. Click explore apps. Now, you're looking at the app directory. It's a grid of app cards. Each one shows the logo, a short description, and a connect button. I'm going to search for Apple Music. There it is. Click connect. Chat GPT will ask for authorization. This is where you log in to your Apple Music account and give Chat GPT permission to access your playlists, create new ones, and pull song data. You only do this once. Hit authorize. Done. Now, back in the chat, I can call Apple Music anytime. There are two ways to do this. One, I type the ad symbol and a menu pops up showing all my connected apps. I click Apple Music and it activates. too. I just type a normal prompt like create a focus playlist for writing and chat GPT automatically knows to use Apple Music if it's relevant. Let me show you what that looks like. So, I'm working on a blog post about productivity. I want background music that matches the vibe.

Calm, focused, no lyrics. Normally, I'd open Spotify or Apple Music, search focus playlist, scroll through 50 options, preview a few, give up, and just pick the first one. Instead, I paste a paragraph from my blog into Chad GPT and say, "Create a focus playlist for this kind of work. " Now, let me show you what's happening behind the scenes because this isn't magic. It's structured analysis. Chat GPT reads the paragraph. It identifies key signals. Words like productivity, deep work, concentration. It analyzes sentence structure. Short declarative sentences suggest high energy focus. Longer flowing pros suggests contemplative focus. Then it builds a prompt for the Apple Music API. That structured request gets sent to Apple Music's recommendation engine, which returns a playlist. Within 5 seconds, I get a playlist link. I click it. It opens in the Apple Music app already saved to my library. I hit play. Perfect. No searching, no scrolling, no guessing. Chat GPT read my content, extracted context, and translated that into a precise API call. And this is the simplest example. Let's level up. Next app, Canva. I use Canva for quick social

graphics, LinkedIn posts, YouTube thumbnails, Instagram stories. Usually I open Canva, pick a template, customize the text, change the colors, export, download. It takes 10 minutes for something simple. Let me show you the new way. I'm in chat GBT. I type, design a LinkedIn post graphic with this quote. The future of software is conversation, not navigation. Make it bold, modern, blue, and white. Now, you might be thinking, "Wait, can't Chad GPT already generate images with GPT image 1. 5? Why call Canva? " Here's the difference. When Chad GPT generates an image with its built-in tools, you get a single flattened PNG. It looks good, but if you want to change the font, adjust the layout, or tweak the colors, you're stuck with multiple regenerations. You'd have to regenerate the whole thing. When Chad GPT calls Canva, it's creating a multi-layer editable design template in the Canva editor. Let me show you. Chad GPT generates a Canva design link. I click it. It opens in the Canva editor. And the design is already there. The quote is laid out. The colors are set. The font is readable. But here's the key. I can see the layers. The background is one layer. The text is another. The accent shapes are separate. I can click any element and modify it. Change the font to my brand style. Adjust the text size. Swap the background color. I went from idea to editable professionalgrade graphic in 30 seconds. So if I'm doing a fast template for a quick post, Canva through chat GPT is perfect. But if I'm creating full visuals or generating high quality studio images for my projects, I personally use studio in AI master pro. Why? Because I can not only use those images in my work, but I can also publish them on the platform. If someone downloads my visual or wants to unlock the prompt to see how I made it, I earn tokens from that. Passive income from work I've already done, we have Nano Banana Pro and GPT image 1. 5 for images and consistent character creation. So, Canva is great for speed. AI Master Pro is great for monetization. Depends on what you need. All right, back to the

apps. Next app, Seamrush SEO platform I personally rely on. They are the sponsor of this section. And if you do any kind of content marketing or SEO, Seamrush is one of the go-to tools for keyword research and competitor analysis. See, we're all getting better at using Chat GBT to optimize our content for Google. We ask for keywords, search volume, competition analysis. That's standard SEO now. But there's the problem nobody's talking about. Optimizing for Google isn't enough anymore. And here's the question. When someone prompts Chad GBT about your industry, does it mention you? Because here's the reality. Search has evolved. It's no longer just about ranking number one in Google. Millions of people are now asking AI chat bots like ChatGpt, Gemini, Perplexity for direct answers. And if you are invisible to these AIs, a massive segment of potential customers. You could be number one in Google and completely absent from AI recommendations. And most marketers have no clue this is happening because traditional SEO tools don't track AI visibility. That's why I've been using Seamrush 1. It's the first platform that combines traditional SEO tracking with AI visibility tracking in one dashboard. You can see how often does Chad GBT recommend you versus your competitors. What prompts trigger your brand? What's your AI visibility score? They've got a database of over 239 millions prompts. So you can see exactly what questions people are asking AI about your industry and whether you're showing up in those answers. And here's the scary part. Gap analysis shows you where your competitors are being mentioned by AI, but you aren't. That's lost business you didn't even know existed. Look, SEO didn't die. It evolved. And if you're only optimizing for Google in 2026, you're playing yesterday's game. Seamrush one starter plans begin at $199 a month or 165 per month built annually and they are giving you 14day free trial of Samrush one link in the description check your AI visibility score you might be shocked at what you find next app

notion if you use notion for project management or note takingaking this one's going to save you hours here's a common workflow I'm researching AI tools for a video I've got 20 browser tabs open, each with a different article. I read each one, copy the key points into a Google Doc, then manually organize them into a database later. It's tedious. Let's automate it. I copy all my messy notes, just bullet points, links, random thoughts, and paste them into Chad GBT. I say, create a notion database with these columns: tool name, use case, pricing, key insight, fill it in with this data. Chad GBT reads my notes, structures the information, and pushes it to notion. I open notion. There's my database fully populated. Every row is a different tool. Every column is organized exactly how I asked. Now, what happens if the data is messy? What if my notes say some tool costs like $20 or maybe $30? Not sure. Let me show you. Chad GPT encounters ambiguous data. It has two options. Ask for clarification. I found unclear pricing for tool X. You wrote $20 or $30. Should I list it as 20 to $30 or leave it blank? Make a reasonable assumption. If the context is clear enough, it fills in the most likely answer and adds a note in the key insight column. Pricing unconfirmed. Verify before publishing. And if there's data that genuinely doesn't fit any column, chat GPT leaves that field blank and adds a comment in notion. No pricing information found in source material. This is important. The automation isn't perfect, but it's transparent. You know what Chad GBT filled in and what it couldn't figure out. You're not getting silent errors. You're getting a structured first draft that you can quickly review and clean up. No manual data entry, no formatting, no copy pasting between tabs. Chad GPT turned chaos into a structured database in 10 seconds and you spend 2 minutes reviewing instead of 20 minutes manually entering data. And here's the thing, data entry is the worst part of knowledge work. It's not creative. It's not strategic. It's just grunt work. Chad GPT just automated it. That's a huge deal. All right. So, OpenAI's bet is clear. One AI interface for everything. They build this ecosystem for developers. Developers can build apps, integrate services, and when OpenAI launches revenue sharing in 2026, they'll earn from every transaction. When I saw that strategy, I thought, what if we did the same thing, but for creators? Most AI tools stop at generation. You make an image, you make a video, and then what? You post it somewhere, that's it. There's no monetization path. We solve that with create to earn. You generate something in our AI studio, image, video, whatever. You upload it to your public profile. Other users browse the community feed and gallery, see your work, download it. Every time someone downloads your work, you earn tokens. Convert those tokens to real money. You can even create and license characters. Design a character, register it, and use it across all your content and license it to other creators for tokens. Passive income from work you've already done. No other AI platform does this. You want to learn AI? We've got 190 plus structured lessons. Prompt engineering, video generation, image creation, business automation, not random tips, a real curriculum that takes you from zero to building actual workflows. You want to use AI tools, we've got AI Studio with Sora 2 Pro, VO3. 1, GBT Image 1. 5, Nano Banana Pro, all in one place. No watermarks, no switching between subscriptions. You learn a technique and a lesson, then you practice it immediately in the studio. You post your content in the feed, you earn same platform link in the description below. 30% off annual plan. All right, this

next one is wild. This is where the paradigm shift becomes real. The app is called Lovable. It's a noode app builder. Normally, if you want to build a simple web app like a landing page or a signup form, you'd use a tool like Web Flow or Framer. You design the layout, set up the components, configure the logic, export the code. Even for something simple, that's an hour of work. Let me show you what happens when ChatGpt builds it for you. I'm in ChatGpt. I type build a landing page for my AI newsletter. I need a hero section with a headline, an email signup form, and three feature cards explaining what subscribers get. Chad GPT calls lovable. It generates the app scaffold. I click the link. It opens in the lovable editor and the entire landing page is already there. Hero section, email form, three cards, all laid out and functional. I can see a live preview. I can edit the code if I want or I can just deploy it right now. I went from idea to functional app prototype in 90 seconds. No design file, no coding, no wireframes. I described what I wanted and Chad GPT built it. Now, let me be clear about what you're getting here. This is a base for your future app, not a full productionready code. What that means, the structure is solid, the layout works, the form submits, but it's a starting point, not the finish line. If you want to customize this, change the color scheme to match your brand, add Google Analytics tracking, integrate with your email service provider like ConvertKit or Mailchimp, you'll need to log into Lovable and make those edits. The code is clean and editable. Lovable generates standard HTML, CSS, and JavaScript. So, if you know basic web development, you can modify anything. If you don't code, Lovable's interface is beginnerfriendly. Drag and drop components, visual styling tools. But here's the point. A year ago, going from I need a landing page to here's a working prototype I can edit took three tools and two hours. Now it's one conversation and 90 seconds. This is the moment where you realize we're not just getting a feature update. We're watching the entire app building workflow collapse into natural language. And if that's happening with no code tools

imagine what's next. So let's zoom out. What's really happening here? OpenAI is betting that the next UI for software isn't menus, buttons, and dashboards. It's conversation. And if they're right, Chat GPT becomes the universal assistant that sits between you and every app you use. Right now, we have five apps in this video, but the app directory already has hundreds. And OpenAI just opened developer submissions, so expect thousands by the end of the year. Imagine when your email, calendar, CRM, design tools, code editors, spreadsheets, everything lives inside one conversation. You wake up, you open chat GPT, you say, "Check my calendar, summarize my emails, create a task list for today, draft a response to the client in Slack, and generate a quick report in Google Sheets. " Chat GPT does all of it. You never open another app. You just have a conversation, and the tools execute in the background. That's the vision, and we're watching it happen in real time. Now, let me be realistic for a second. None of these apps are perfect yet. Apple Music doesn't always understand niche music requests. Canva designs are hit or miss, depending on your prompt. Notion databases need tweaking. Lovable apps are prototypes, not productionready code. Samrush data is useful, but still requires human judgment. These are version 1. 0 tools, but version 1. 0 is already faster than the old workflow. And when version 2. 0 0 lands. When AI gets better at understanding context, when apps integrate deeper, when the ecosystem matures, we're looking at a 10x productivity shift. The people who learn this workflow now will have a massive advantage. The people who wait, they'll be copy pasting in 2027 while everyone else is running laps around them. Right now, we're at the equivalent of 2008 when Apple launched the app store. That moment created entirely new categories of millionaires. Indie developers who built Angry Birds, Instagram, WhatsApp, ordinary people who saw the platform shift early and moved fast. This is that moment again. Here's where it gets interesting. Google has Gemini integrated into Workspace. Gmail, Docs, Calendar, Microsoft has C-pilot bundled into Office 365, dominating enterprise. Meta AI has 400 million users across Facebook, Instagram, WhatsApp. Open AAI's bad is different. They're going horizontal. They're saying, "We don't need to own the services. We just interface between users and those services. " That's the Apple strategy. Apple doesn't make most apps

on the iPhone. They just control the platform where you access them, and they take percent from every transaction. Here's my challenge for you. Pick two apps you already use. Connect them to Chat GPT. Test them for one week. Track how much time you save. And if you want to go deeper, if you want structured training on AI workflows, not just one-off tutorials, check out AI Master Pro link in the description below. Right now, we're offering 30% off the annual plan. That's access to all courses, the full AI studio prompt lab with 300 professional prompts and the creator marketplace. Plus, you get 2,000 tokens every month that never expire. And if you're not sure, 7-day money back guarantee. Try it risk-f free. Link below and see you in the next one.