Ep 626: ChatGPT’s new Agent Builder, Apps and 5 BIG takeaways you probably missed

OpenAI’s Latest Agentic Moves: Direct Impacts for Business Leaders

OpenAI’s most recent Dev Day announcements are poised to reshape not just the tech sector—but also how everyday companies operate, make decisions, and deliver value to clients. From agent-building tools accessible to non-developers to the integration of core business apps directly within ChatGPT, the updates revealed in this episode of "Everyday AI" point to concrete shifts in the application of AI across industries. The following article decodes the specifics, focusing on actionable insights for business owners and leaders.

Mainstreaming AI Agents: Drag-and-Drop Simplicity

OpenAI introduced a powerful Agent Builder as part of its "AgentKit" suite, designed to lower the technical barriers to implementing AI agents within businesses. This tool provides a visual, drag-and-drop interface, enabling users—even those with minimal technical background—to design, test, and deploy AI workflows.

The agent builder is directly accessible via platform.openai.com (not within the ChatGPT consumer interface) and requires an API account with billing enabled. Unlike previous iterations that might have required coding skills, this version allows users to select from various models (like GPT-5, GPT-5 Pro, and GPT-5 Codex) and craft custom workflows comparable to tools like Zapier or n8n.

Templates, straightforward deployment tools, and central management panels for connectors and data sources reduce the complexity and overhead traditionally associated with AI integration. Notably, OpenAI has built in guardrails, safety layers, and evaluation tools—enabling robust monitoring, issue identification, and higher trust in operational contexts.


Apps Within ChatGPT: The Early Signals of an AI "Operating System"

OpenAI now allows external apps to run inside ChatGPT, carrying context and data seamlessly from conversation to app and back. Early integrations include Canva, Spotify, Figma, and Zillow—with additional partnerships like Peloton and Uber promised. This architecture is not simply about plugins; it directly brings the live, interactive experience of these services into ChatGPT. For example, users can create a pitch deck in Canva, then leverage Zillow to research new locations, all within a continuous, context-aware workflow.

While initially, users must manually connect apps on a per-app basis, OpenAI’s vision is that ChatGPT will eventually suggest or activate apps on the fly, as needed within ongoing conversations. This contextual “cross-app” capability is set to deepen as more providers are onboarded.

OpenAI has also hinted at forthcoming monetization options for developers, with a dedicated app marketplace on the horizon.


Distinction Between GPTs and ChatGPT Apps

A significant nuance emerged in distinguishing between “GPTs”—custom text-based AI bots—and these new, richer “apps.” GPTs generally interact via text and are often user-created within ChatGPT. In contrast, the new apps are more interactive and visually dynamic, with direct integrations mirroring the web or mobile app experience. Presently, only developers can submit apps, positioning this as a more curated ecosystem—signaling a potential phase-out or sidelining of GPTs in favor of these fuller integrations.


API Upgrades with Immediate Business Impact

Three major API developments were covered, each with direct implications for product development and enterprise workflows:

  • GPT-5 Pro is now accessible via API, making the most advanced language model available for high-stakes, long-context, complex reasoning needs directly in corporate tools.

  • Sora 2—OpenAI’s high-definition AI video model—is available for public use via API, enabling platforms to offer advanced video generation capabilities (10-second, 1080p clips) within their own products.

  • GPT Image 1 Mini and Real Time Mini (voice model) are now API-accessible, reducing the cost and latency for integrating AI-generated images and near-instant voice assistants into customer-facing applications.

Enterprises and SaaS platforms can now incorporate these models to improve user experience, enable new features, and cut operational costs.


Strategic Takeaways: Implications for Ecosystem & Industry Dynamics

Several understated, but pivotal, points emerged:

  1. OpenAI is Prioritizing Ecosystem Expansion Over Profitability
    OpenAI’s leadership clarified that profitability is not a current top-ten concern—the focus is user growth and ecosystem lock-in, even at the expense of short-term financial metrics.

  2. AI Agent Builder May Disrupt Early-Stage AI Startups
    Many startups built on OpenAI’s underlying tech have essentially been pre-empted; AgentKit and its builder directly replicate features from numerous agent-focused SaaS offerings, consolidating value back into the OpenAI platform.

  3. The Beginning of the End for Traditional Software Development
    With GPT-5 Codex now standard, OpenAI’s own engineering team reportedly produces 70% more pull requests per week using the tool. As the default for writing, reviewing, and deploying code shifts, so too will hiring, team structure, and the nature of software-driven innovation.

  4. ChatGPT as a Business “Operating System” Could Diminish Classic Web Usage
    By bringing the full functionality of business-critical apps inside ChatGPT—and combining this with in-app checkouts for services like Shopify and Etsy—OpenAI is methodically moving toward ecosystem lock-in, similar to Apple’s approach with iOS and the App Store.

  5. Targeting Apple-Style Ecosystem Control, Not Just Competing with Google/Microsoft
    Apple-like user, software, and hardware integration appears to be OpenAI’s north star. With high-level hires from Apple and collaboration with renowned designers, the ambition goes well beyond search or productivity—pointing to an AI-first ecosystem spanning software, hardware, and commerce.


What to Watch Next

The coming months will see new app integrations, expanded agent-building capabilities for non-developers, and further encroachment of AI-powered workflows into everyday business operations. Companies attentive to these developments can position themselves early—integrating best-in-class AI not just as a tool, but as a foundational layer for customer engagement, product development, and operational excellence.

Businesses that embrace the new lineup of drag-and-drop AI agent builders, experiment with in-ChatGPT app workflows, and track the evolution of GPT-5-based tools will be best placed to outpace competitors who wait for “the next big thing”—not realizing it has already started rolling out.

To keep up with all announced features and strategic shifts, proactive monitoring of OpenAI’s updates and a hands-on approach to early pilot projects will be essential.


Topics Covered in This Episode:

  1. OpenAI Visual Agent Builder Preview
  2. Sora 2 AI Video Generator Launch
  3. OpenAI and AMD Multi-Billion Partnership
  4. OpenAI Becomes Most Valuable Private Company
  5. Perplexity Comet AI Browser Free Release
  6. Meta AI Conversations Power Targeted Ads
  7. Anthropic Claude Sonnet 4.5 Model Update
  8. Microsoft Copilot Agent Mode and Office Agent
  9. Sora 2 Copyright, Watermark, and IP Controls
  10. Major AI Job Displacement Senate Report
  11. OpenAI-Microsoft Profit Status and Public Plans
  12. Google Gemini, AI Studio, and NotebookLM Updates
  13. Synthesia V3 AI Avatar Agent Launch
  14. ChatGPT Checkout Mode and Polls Expansion


Episode keywords

ChatGPT agent builder, OpenAI, Dev Day, AI agents, AgentKit, drag and drop AI, non-developer AI tools, agentic workflows, ChatGPT apps, app integration in ChatGPT, GPTs, context-aware apps, Canva app, Spotify app, Figma app, Zillow integration, Coursera integration, Peloton, Uber, privacy permissions, app monetization, developer submissions, plugins, GPT Store, web experience in AI, operating system for AI, business AI solutions, education AI users, API improvements, OpenAI API, Codex, code IDE, AI code review, Cisco, coding automation, pull request automation, GPT-5, GPT-5 Pro, GPT-5 Codex, specialized language models, platform.openai.com, AI deployment, website AI integration, agentic payment gateway, data connectors, data sources, AI safety, open source safety layer, AI performance evaluation, AI hallucinations, guardrails, AI training options, visual builder for agents, Zapier alternative, n8n, Sora 2, AI video generator, API for video, AI-generated video, temporal consistency, character consistency, audio syncing, soundscape AI, Sora API, Higgs Field, Veed, API Dev Day updates, GPT Image 1 Mini, compact image API, AI image generation, voice mode, real time streaming audio, customer voice assistant, checkout features, Shopify integration, ecosystem lock-in, Apple hardware, Johnny Ive partnership, Anthropic, AI platform strategy, AI industry disruption, end of traditional programming, software development AI, web death, AI browser, natural language search, Coursera video in ChatGPT, Zillow search, Canva in ChatGPT, payment gateway in AI, user ecosystem, hardware engineers, AI hardware, Steve Jobs comparison, Amazon playbook, platform dominance, AI innovation.



Podcast Transcript


Jordan Wilson [00:00:45]:
Will this be the update that finally makes agents mainstream? I think so. If you missed it, open AI announced a straight up cornucopia of AI updates at their dev day conference. And I know you might be thinking I'm not a developer. So why does this pertain to me? Well, I think what open AI announced is going to actually reshape how we all work heading into 2026. I think it's going to be so impactful. It's actually going to shake up some legacy industries. So if you don't wanna be left behind, stick around for the next twenty five ish minutes as I break it all down for you. Alright.

Jordan Wilson [00:01:30]:
I'm excited for today's show. I hope you are too. If you're new here, welcome to everyday AI. My name is Jordan Wilson, and I'm the host, and this thing, it's for you. It's your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me not just keep up, but get ahead. Because AI updates are happening all the time, and I understand it's hard to keep up with them. So this is how you do it. It starts here with the live stream podcast, but if you wanna take it to the next level, be the smartest person in AI at your company, you gotta go to our website at youreverydayai.com.

Jordan Wilson [00:02:02]:
There, we're gonna recap the highlights of today's show, as well as keeping you up to date with everything else happening in the world of AI news. Let's make this one a fast one. Let's just get straight into it. ChatGPT has a new agent builder, drag and drop. You don't have to be a developer. And that's why I think, even though this is called dev day, OpenAI's a yearly conference that they hold in San Francisco, Primarily, it's usually been for developers. And even though it's still called dev day, I don't think it was actually for developers anymore. So on today's show, I'm going to go over some of the show stopping announcements that I thought two of them, agent kit and apps.

Jordan Wilson [00:02:46]:
I'm going to talk about the improvements OpenAI made to the API and how that will impact even non developers, just your average everyday AI enthusiast. And I'm going to unveil my five biggest takeaways from the day that I think most people missed. So there was a ton. We're gonna be sharing, all of the, updates in our newsletter today. And we did, drop quite a few of them yesterday as well, but a lot of the updates kept rolling out throughout the day. Let's start with the first one and maybe the one that most non developers may end up using the most, because it actually was kind of a two pronged announcement. OpenAI announced apps in chat GPT. So this is, kind of, well, developers can obviously make them, but we all use them.

Jordan Wilson [00:03:36]:
Think of your iPhone. Think of how many apps that you use or your smartphone. Think of how many apps that you use. Right. So this is OpenAI, both opening it up for developers, but also for everyone that uses ChatGPT and OpenAI actually with another small announcement. They said now they have 800, million weekly active users where it was just in September, I believe, where they said they had 700,000,000 active, weekly active users. So let's talk about apps in chat g p t, and then I'll talk briefly about what the heck is the difference between apps and GPTs. I'm still trying to figure it out, but it looks like GPTs might just be, left to die in the long run.

Jordan Wilson [00:04:18]:
So apps right now, well, you can use them to work within your conversations, and they work inside of ChatGPT. So ChatGPT can suggest an app right now when you're talking to it, when it thinks that one could be helpful, and it will simply call an app you can simply call an app by its name to start using it, or you can select it from a drop down. So right now the way that it works is you have to connect, these apps one by one. At least the ones I've been using, the the few of them that are available now, there's only a handful of them. But the end goal is for well, when there's a lot more apps, to chat GPT just to kind of, seamlessly blend in app usage, within your normal conversation. So as an example, using interactive features like maps or presentations. So the first apps that are available now, so, yeah, you can go in, log in to your chat GBT if you have a paid account, and you can connect them now. I've already connected Canva, Spotify, and Figma myself.

Jordan Wilson [00:05:24]:
There's also Zillow that's available now. OpenAI does say that your privacy is protected with a permission prompt before the first use. I did see that. And then after that, it doesn't come up anymore. And essentially, apps, the big thing and the big difference is it uses your conversations context. So you can be chatting about different types of things. The example that OpenAI gave is they were, you know, creating a pitch deck, so they are creating it in Canva, and then they were saying, hey, what new locations might our startup operate? And then they use Zillow to, you know, find, housing in that location. That was just, you know, one example, but, a pretty good one about how you can carry context over from app to app, which is actually pretty nice.

Jordan Wilson [00:06:06]:
I mean, again, imagine if you could do that on your smartphone. Right? If you didn't have to, you know, copy and paste things between different apps or if your, you know, if your email app just knew what was happening in your text messaging app and it gave you suggestions. Right? That would be great. So it's kind of the concept here in Chatt GPT using the power that is generative AI and large language models, not just to be able to help you create more useful content, but to be able to use the context, and then to be able to work inside of those apps. And they did say that more partners, as an example, like Peloton and Uber are gonna be coming later this year. They gave the example of Coursera. And the big difference, with apps and GPTs, if you're confused, I'm still trying to figure it out a little bit. I'm sure more clarity will come.

Jordan Wilson [00:06:55]:
But in my dealings so far, it's more of an interactive experience using these apps, right? Where you can use these GPTs and you can go create a GPT within chat GPT. It's usually more text based. Right? When you're interacting with a GPT, yeah, even Canva has a GPT. Right? But it doesn't create anything visually in the app. It essentially, you're working with text, and you can create GPTs inside of chat g p t. At least right now, you can't create apps inside of chat g p t. It is more of a developer tool for developers to create these apps, and OpenAI did, say that they will be accepting, developer submissions soon. So, I don't know if this is gonna be, you know, quite the same as plugins originally were or GPTs, and I'm also, interested in what's gonna happen with GPTs.

Jordan Wilson [00:07:50]:
I personally hope they stick around, but we'll see. So what does this mean? Well, like I said, developers can start building their own apps today, and OpenAI did say that they'll have a dedicated directory for browsing and searching for apps. And then like I said, once you add the apps, OpenAI will suggest them and surface them throughout the conversation. OpenAI will soon share details on how they can monetize their apps. So we'll see if that ever comes to fruition. Right? We heard the same thing when OpenAI announced and really hyped the GPT store, and I didn't really hear or see anyone getting paid off of the GPTs. So I don't know. Maybe someone did reach out to me if I'm wrong.

Jordan Wilson [00:08:31]:
I didn't really see anyone. But I do think this is different because like I said, it is a richer experience. So, you know, another example is they gave Coursera. Right? I made a course on, top rated course on Coursera on generative AI, like, three years ago. So you could watch that inside of chat g b t, but go through the actual video modules and still have some space on the screen. Right? So, what they're doing here is they're really just bringing the web experience, in my, you know, dealing with these apps so far into chat GPT. So just making it more of like an operating system. So apps will also become available for business and education users later.

Jordan Wilson [00:09:14]:
Now the big one grabbing headlines, AgentKit. So the Agent Builder is actually part of AgentKit, but I think the Agent Builder is actually what got so much of the attention from Dev Day, and I think rightfully so because it's a visual drag and drop builder. Right? I'm actually wasn't planning on doing this, but I'm actually gonna log in to, my OpenAI account right now, my builder account, and I'll show you this right now. So, if you're listening on the podcast, don't worry. You can always watch the video version, on our website at youreverydayai.com. So just sharing my, my screen here. This is the, agent builder. Right? You don't really have to know anything.

Jordan Wilson [00:10:05]:
It's a drag and drop, interface. You can add, add and delete nodes. You can, you know, select different models here. So if you've ever used anything, like Zapier, N8N, any, you know, visual builder, that's all it is. Right? And it's really powerful that you can build an agent backed and powered by OpenAI's most powerful models. Right? You can use GPT five. You can even use GPT five Pro. You can use GPT five codecs.

Jordan Wilson [00:10:39]:
Right? So you can build a lot of different agents for just about any use case using the agent kit. Alright. Let's quickly talk about it. So it's, agent kit is essentially a tool kit for helping even nontechnical people build helpful AI agents or AI assistants. It simplifies the process of creating, launching, and managing agents, and businesses can go launch it now. So you do have to have, essentially a an API account set up or a developer account set up. So you're not gonna find this on chatgvt.com. You actually go to platform.openai.com.

Jordan Wilson [00:11:16]:
You also do keep an eye on this. You do have to set up billing. Right. I did this, did this obviously years ago. So if you're going to be using these in production, right, they're not free, you know, to test them out. It's not gonna cost you anything. But if you're ultimately using these in production, you know, you're gonna be paying for the API usage. And that's the big difference and the big differentiator is, yeah, you can go put these on your website or you can go put these, in a web app.

Jordan Wilson [00:11:47]:
And that's the big one of the big differences aside from just being able to create agents and agentic workflows on demand without a lot of tech skills. So like I said, the agent builder itself is a visual builder that allows you to design AI workflows, using simple drag and drop technology. It makes it faster, and much easier, right, than you would have to if you were, you know, staring at a screen trying to MacGyver, some Python strings together. And then you can easily add that once you're done and once you can test it. So you can test it in the actual, platform there. So like I said, platform.openai.com, and then go to the agent builder so you can test it out there. But then you can literally just have it live on your website, and OpenAI has some pretty clear and easy instructions on how you can do that. The cool thing is is then you can also manage all of your connectors inside ChatGPT and all of your data sources from within one central admin panel.

Jordan Wilson [00:12:47]:
So it's not like you have to go, you know, manually build, you know, data pipelines. That's where the ease and simplicity of ChatGPT really shines here, with the, agent builder inside of the agent kit. There's also new evaluation tools, to help test and measure, the AI agent's performance. And it also doing it that way allows developers to, fix and identify issues way quicker. There's also an open source safety layer that helps protect AI agents made inside of agent git from misbehaving according to OpenAI. And also there's some specialized training options, guardrails, some other things that, you know, when you think of agentic AI or AI agents, I think we always think about capabilities. We don't think about hallucinations. We don't think about, you know, guardrails.

Jordan Wilson [00:13:41]:
So it's nice that in the first at least, I wouldn't say this is the first iteration. Right? Because Cause we've had the OpenAI agents SDK now for, I don't know, about half a year. So this is nice that the first more consumer, you know, first kind of non developer version of this, has that built in. There's also some specialized training options that are available, to make the AI smarter. There's also some templates, that you can choose from when you go into the agent builder. So very easy, clean. If you've ever like I said, if you've ever used anything, like Zapier, n eight n, to build agentic workflows or whatever, you're gonna find this very simple to use and not a huge learning curve at all. Alright.

Jordan Wilson [00:14:30]:
Before we get going and hey. We might actually make twenty five minutes this time. Let's quickly pause for a word from our partners. This podcast is supported by Google. Hey, folks. Steven Johnson here, cofounder of NotebookLM. As an author, I've always been obsessed with how software could help organize ideas and make connections.

Steven Johnson [00:14:51]:
So we built NotebookLM as an AI first tool for anyone trying to make sense of complex information. Upload your documents, and notebook l m instantly becomes your personal expert, uncovering insights and helping you brainstorm. Try it at notebooklm.google.com.

Jordan Wilson [00:15:10]:
Alright. The next update at dev day was kind of technically a smaller one, but some bullet points on what's new. Codex, which is essentially the, coding kind of IDE, from OpenAI got technically official. It became generally available even though it was previously, available. And this helps, programmers write and review, computer code way quicker. Bunch of companies, you know, OpenAI gave some use cases, but they said Cisco, as an example, used it, to cut their review times in half. Side note, we're actually gonna have the president of Cisco on the show next week, so make sure to tune in for that speaking of Cisco. Also, OpenAI said that the daily usage of codecs has grown more than 10 times since August.

Jordan Wilson [00:16:02]:
I believe codecs was originally introduced, back in May. I believe at the time, it was only for pro users. So now it's just a much wider and, kind of GA push here, but some new things inside codecs that OpenAI did announce. Now you can ask codecs for help directly inside of Slack. Developers can add codex's powerful abilities, into their own applications as well. And like I said, even in the, the agent builder, one of the models that you can use is GPT five codex, which is a specialized version of OpenAI's most powerful model built specifically for coding. There's also a new DAP shporer that helps managers track usage and monitor the AI's work and administrators can now enforce safer defaults for their teams. All right.

Jordan Wilson [00:16:47]:
The next announcement. Kind of a big one. Sora two is now available in the API. So if you're like, what the heck is that? Well, you have probably heard about Sora two, the ultra viral, but also, in my opinion, kind of brain rot, you know, tool that OpenAI pushed out. Don't get me wrong. It's fantastic. But in general, I don't know. I'm not a big fan of social media.

Jordan Wilson [00:17:15]:
I'm not a fan of, you know, endless doom scrolling. So that's kind of, unfortunately, how OpenAI rolled out Sora. It is an iOS app. You have to sign up for it, via the iOS app. It was invite only. And essentially, you just it's only AI videos, and it's just constant scrolling. Anyways, but the actual model itself is absolutely bonkers good. It is, wild to believe that it's real.

Jordan Wilson [00:17:42]:
Anyways, now that's rolling out to anyone. I I would guess that, probably by weeks end, there's going to be dozens of third party AI video platforms, that are going to be using Saurus SORATO's API. So as an example, I'm not really as big into the AI video seem seen as others. But I saw companies like, Higgs Field, Veed. Right? So a lot of these AI video, companies are now, well, you can use Sora too. Well, why would you wanna do that? Well, there's a lot of other features in these other platforms that maybe right now, if you're like, oh, I wish Sora too had blank. Well, you might be able to get that now in these other AI video tools, now that Sora two is available via the API. And I did already see within hours, more than I I think more than a dozen, different AI video platforms that had support for Sora two.

Jordan Wilson [00:18:42]:
On the API side, OpenAI said that it is ten eighty p, so HD resolution and twenty second, clips. If you don't know, I mean, sort of two, absolutely crazy. The temporal consistency, character consistency, from shot to shot, you know, audio syncing, soundscape, sound effects, it's understanding of physics really, really good. We did cover, Sora the other day. If you wanna go, listen or watch that episode, maybe watch is better. It is episode six twenty three. Alright. Couple other API updates.

Jordan Wilson [00:19:20]:
Just gonna go over these quickly. Alright. So, GPT image one mini is now available in the API as is GPT five Pro. So previously, developers could use GPT five, but not the most powerful version of it, which is GPT five Pro. That one is available in the API and got a pretty good hoot and holler, from those in attendance at dev day as well as a new and what OpenAI said was an improved, voice model in GBT real time mini. So what this means, again, same thing. Probably between these three updates, hundreds or maybe thousands of apps that you maybe use all day, maybe that your your company, your business might use. Probably good chance that it might be powered now or in the future by one of these three things that I just talked about.

Jordan Wilson [00:20:20]:
So, let's okay. I got I got my, my bullet points on the other screen here. So so with GPT five Pro, like I said, now it's API accessible, the most advanced language model OpenAI has for higher accuracy, long context reasoning in complex text. With GBT Real Time Mini, this is a new updated version of advanced voice mode with lower latency, API voice model enabling real time streaming audio for live assistance, also at a way lower cost. So, well, if you need something cheaper or faster, you know, maybe your company wants to, provide a voice assistant on your website for your customers. Well, you could have used the old, GPT real time, but now the GPT real time mini is a little faster and way cheaper. And OpenAI says from a quality standpoint, not a big drop off. And then last but not least, you know, all those, you know, super viral AI images that people create all the time in chat GPT.

Jordan Wilson [00:21:29]:
Well, now they're making a new version of that, available for, developers as well in GPT Image one Mini compact image generation, API model for fast cost efficient, creation and editing. Alright. That's what actually happened on the surface. Right? You you don't have to go watch the ninety minute keynote now. I just told you what you needed to know for the most part, but I do wanna talk about now five takeaways that you probably missed. Alright. So reading between the lines a little bit here, some things that were said at Dev Day and after. This one was actually after during a Q and A session after Dev Day, where Sam Altman said that profitability is not in the top 10 concerns for OpenAI.

Jordan Wilson [00:22:27]:
I also said this, like, a year ago. I said OpenAI is not worried about profitability in the same way Anthropic is. And I said a while ago, that's one of the reasons why I think OpenAI will ultimately beat Anthropic. And he did say that right now, their strategy is a space of investment in growth. With confidence. They'll build a profitable profitable model eventually. I love seeing Sam Altman say, like he said on his personal blog the other day that they have to figure out how to make money, with Sora, right, because it's very expensive. But, I think what they're doing here, reading between the lines, they're playing the extreme long game.

Jordan Wilson [00:23:07]:
Right? They're not necessarily worried about making money off the average, you know, ChatGPT plus user. And, another thing I've been saying for a long time, the fact that you we can get most of this technology yes. I know some of the, shinier bells and, or, louder bells and shinier whistles, you know, might not be, available on that $20 a month plan. You might have to go to the $200 a month plan, but still, just just the capabilities, of these models. It is a I mean, we're all stealing, right, essentially. But what is happening here? They're they care about dominance. They care about users. Right? That's one of the things that they're pushing all the time.

Jordan Wilson [00:23:53]:
You you know, you always see these reports about, Anthropic's revenue going up. You don't see as many of those about OpenAI. One of the reasons is they're bleeding cash, but, yeah, I don't think Anthropic is ever gonna be able to say 800,000,000 weekly active users like Chad GPT just said. Right? OpenAI is playing the long game here and I think taking, page out of Amazon's playbook. Right? There's, so many things in Amazon's, you know, famed story from bookseller to you can't live without them that they just lost money along so much of the route, just because they were winning users. They were winning trust. They they're they're winning confidence, and they're winning the ecosystem. They're winning the platform.

Jordan Wilson [00:24:39]:
That's what OpenAI is doing here. So one, big takeaway there. Next one, this is interesting. This event is, you know, mainly for developers. It's and these developers are well, they're running startups for the most part. What OpenAI just released kind of cannibalized a lot of them. And this happens a lot of times with OpenAI and it's always kind of strange for me. Right.

Jordan Wilson [00:25:07]:
When you see these large AI companies, you know, they work with developers to get feedback, to make their product better. And then ultimately, yeah, this release comes out and they wipe out everything, right? Drawing on Amazon. Right? They they've been accused of kind of doing the same thing. They see which products are selling, and then Amazon makes their own version, exact version of that product and undercuts them. So the same strategy here. I don't know if there's eventually going to be any uproar, in the developer community. But like literally agent kit in the agent builder, I've seen hundreds and I'm not exaggerating when I say hundreds, hundreds of AI startups that essentially they're just using, or they were using, OpenAI's, agents SDK and just providing essentially a UI for OpenAI's technology. And then they might say, oh, it's for marketers.

Jordan Wilson [00:26:14]:
Right? But you're just throwing in a system prompt, in the UI and just using OpenAI's technology anyways. So OpenAI kinda just squashed a ton of startups, and it's gonna continue to happen. So I'm wondering if at any point there is going to be, an uprising. The other thing that's interesting is I think that with the agent builder, they're taking a direct shot at Zapier, at make.com, even kind of work auto. You know, it's a huge this, AI, automation industry, a huge $8,000,000,000 market. Alright. Number three, GPT five, codecs, I think, kind of represents the beginning of the end of traditional programming. And you can say this whether you believe it or not.

Jordan Wilson [00:26:59]:
OpenAI said themselves that nearly every OpenAI PR goes through a codex review and that OpenAI engineers complete 70% more pull requests per week when they're building with codex. Right? So it's pretty telling that open even OpenAI said that the majority of their new code that's created is created by codex. And, you know, they are setting the industry standard. Same thing with Anthropic. Anthropic said something similar. If you're not seeing this, you you know, if you watch the entire dev day announcement or if you read about it, and if you're not being like, yeah, this is the beginning of the end of traditional programming. I'm not saying it's the end. It's the beginning of the end and why.

Jordan Wilson [00:27:46]:
Right? The technology's been out here, blah blah blah. Right? You know, you can make the case for, you know, SONNET 4.5, which may be a superior coding model. We'll see how the benchmarks come out, with GPT five, Pro GPT five codecs, etcetera. But I think ultimately the users that's where the long term gets played out. And OpenAI comes with the users. So when OpenAI, creates something new, a new innovation, a new technology, they're actually the ones pushing the envelope here. And the envelope has been pushed, I think, with codecs and its impact on traditional software development. Number two, CHaGBD wants to be your operating system, and this might be the death of the web.

Jordan Wilson [00:28:36]:
We've already talked about this, not just with the AI answers engines, deep research, right? I use deep research now so much more where I used to just have to go to twenty, thirty, 40 websites to do my own research. But now with apps, I mean, we are bringing the entire app experience inside chat g p t. Right? We didn't hear any, you know, any new news on their, reported forthcoming agentic browser. Right? But they're literally bringing entire website experiences. Look at Coursera. Look at Zillow. Right? They're literally demoing, oh, a Coursera video playing, and then ChatGPT takes notes on it for you. And you can talk with ChatGPT about the video that's being played inside of the Coursera app in ChatGPT.

Jordan Wilson [00:29:23]:
In Zillow, right, you can search Zillow and search with the actual language. Oh, find me, something in the Western Chicago Suburbs with a pool, that's, you know, less than $800,000 and within a half mile walk to a park. Right? You can literally just, with natural language, interact with Zillow without ever having to go to Zillow. Same thing, Canva. You can create and edit and iterate, slides and designs in Canva. In Canva, much different than their, Canva GPT or even the Canva connector. The Canva app brings the experience inside of JetGPT, but I think this is also the beginning of the end of, well, the death of using the web. OpenAI wants to be your operating system.

Jordan Wilson [00:30:13]:
So they're bringing as much as possible into their platform. Why? While they're rolling out this whole checkout feature thing, right? Again, going the Amazon route, but more importantly, the Apple route, which brings us to number one. The number one thing I think people overlooked is the real, and I think it became very apparent, after dev day. In OpenAI's mind, I don't think they're going after Google or Microsoft. I think they're going after Apple. Right? Because look, Apple has dominated on the software side. The software side led to their hardware sales, if you look at the history of Apple. And that created ultimately users, which created ecosystem lock in.

Jordan Wilson [00:31:04]:
That is the same playbook that OpenAI is taking. They are crushing everyone else, even Google, even though Google is, taking shares back, from OpenAI and others. I don't think anyone will be able to catch OpenAI anytime soon if the current pace keeps up, unless something drastic changes. And this we've we talked about on the show before. You know, OpenAI has, reportedly, hired dozens of hardware engineers from Apple. The the partnership with, Apple designer, Johnny Ives, the direct relationship with suppliers, they're going after AI hardware, but they're first doing it by winning the quote, unquote software game, and winning the user games. And I think the end goal here, and we're starting to see it with the apps in creating the ecosystem lock in. So when you bring the apps inside ChattGPT, but then you also bring the payment gateway, the agentic payment gateway, and being able to check out and buy things, you know, from, from Etsy or Shopify, which that's what's live now into ChatGPT.

Jordan Wilson [00:32:19]:
Not only are they creating lock in and trying to kill off the traditional web, well, they're going specifically after Apple. So maybe Sam Altman is Steve Jobs too or, that's what he's going for. Although I really think he should have wore the double, popped color polo, on dev day. Alright. So that's a wrap y'all. Alright. We didn't get to twenty five minutes, but not too bad. Right? So if you missed dev day, we just wrapped it all up for you.

Jordan Wilson [00:32:50]:
We talked about what I think the two big things are. Chad GPT's new agent builder. So even if you are not a technical person, you can go in there in a drag and drop canvas and start to build an agent that you can deploy in your website. ChatGPT bringing actual apps in the UI, the user interface of different apps into ChatGPT. And then I went over five pretty big takeaways that I think most people missed and, Hey, podcast people, can you do something for me? If you're listening on Spotify, I'm actually trying something. I'm putting a poll in there, putting a poll on our Spotify. So scroll to the bottom of the show notes. Alright? And let me know, do you wanna see an episode maybe later this week going over in more depth? Do you want apps? So ChatGPT apps or the chat GBT agent builder.

Jordan Wilson [00:33:39]:
So go check out that poll. Let me know. Also, live stream audience, if you found this helpful, please repost this. Got a little something extra for you. I actually had three more hot takes that I knew I wouldn't have time for. So if you do, repost this show, I will send those over to you. They are ready to go. Couldn't fit them all.

Jordan Wilson [00:33:57]:
So if you miss anything, please go to youreverydayai.com. Sign up for the free daily newsletter. We're gonna be recapping today's show and giving you everything else that you need to know. Thanks for tuning in. Hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all.

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