Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 819: ChatGPT Work: What’s New, Who It’s For and How to Use It

Starting point is 00:00:00 This is the Everyday AI show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. There's a viral new product from OpenAI that's melting servers and surging in popularity right now. It's called Chad ShippityT work. And it's new on both desktop and the web, though they're kind of different products there. So the company launched JetGPT work last week in conjunction with their new GPT-56 model. And it seems the current AI conversation among non-technical users is legit swarming around this new product push. So much so that OpenAI says they've literally added 2 million new users over the past two days,

Starting point is 00:00:54 which for a company that's been around commercially for like three and a half years, launching a new product line and adding two million. new users is kind of unheard of. So what is it? Well, chat GPT work is technically not new at all because it's just codex for

Starting point is 00:01:15 beginners, which I think is actually a great thing, though there are still some minute differences. So what's the point of this new chat GPT work on desktop? How is it different than chat GPT on the web and should you just use codex instead?

Starting point is 00:01:31 Well, we're going to be answering those questions and a lot more on today's everyday AI. But let's put AI to work on Wednesdays. That's what we do. And here is the big picture of what's going on. Open AI, well, with the new chat GPT work, they just kept Codex's core agent capabilities and changed the doorway. Right. So it's easier for people to enter in. It's not, they don't see the word code and they're like, oh my gosh, this is scary. It's not for me. Chat GPT for work. Wait, I work. I know chat Right? It just made sense. So work kind of removes that developer first framing that Codex had and it emphasizes finished business deliverables.

Starting point is 00:02:11 And the response shows that non-coderers were maybe just waiting for permission to use it. So on today's show, here's what you're going to learn. You're going to know what opening I announced and why millions of people immediately paid attention. You're going to know what changed from Codex, what stayed and why the backlash online is kind of missing the point. and you're going to know how desktop work and web chat GPT work. Yeah, they're different. So there's a chat GPT work desktop and a chat GPT work on the web. You're going to know how they differ, how they're same,

Starting point is 00:02:44 and which one you should probably use. All right, let's get into it. Welcome to Everyday AI. My name is Jordan Wilson and, well, we do this every day. This is your daily live stream podcast and free daily newsletter, helping everyday business leaders like you and me, not just keep up with AI, but how to use all this tool.

Starting point is 00:03:01 to get ahead to grow your company and your career. So I always say like your everyday AI, FYI, because you all tell me what to do. You know, I put a poll in the newsletter at least once or twice a week. I let you all change the show. So for people out there maybe complaining like, oh, you're covering too much open AI chat GPT. Well, you voted for it, right?

Starting point is 00:03:21 If I'm being honest, there was two products that I wanted to cover on today's show. I wanted to cover the new GPT live voice mode on the phone. and I wanted to cover Claude Design. But you all wanted Chad GPT work, which is great because I technically have been using Codex for like 12 hours a day for the last five months anyways. So let's get into it. And if you haven't already, please go to our website at your EverydayAI.com. We're going to be recapping the highlights from today's show and all the other AI news you need to know to stay ahead. So Chad Chibati work.

Starting point is 00:03:54 Simple name. A lot of confusion over the rollout. And that's okay. And let me actually just address that first before we go live and we go hands on. There was a lot of backlash and people were confused because when you went to update codex as an example, it looked like codex was broken. And then it started downloading something called chat GPT and people were like, what the heck is going on. Right. So there was a lot of drama in the first like 24 hours. People were confused and they're like, you're taking our codex away. Right. But as you'll see on my computer right now, even though it is still buggy, it kind of changes.

Starting point is 00:04:26 right, I still have the Codex icon, even though it says chat GPT when I hover over it. So this is the super app, right? This is bringing kind of the best of codex, the best of chat GPT, and the best of their Atlas browser all into one package, but giving it technically two different doors, right? You can go in the front door or you can go in the dev door, you know, off to the side. All right. So let's get this thing started live. All right.

Starting point is 00:04:55 So live stream audience, help me out. Let me know if you can see my screen. And we're doing this one a little bit different. All right. Maybe you can see I'm traveling. I'm in a hotel room. So actually prep for this one was kind of interesting. I'll explain it.

Starting point is 00:05:11 But this is all very meta because I used codex to build this. You know, if you saw my slides, they're a little different. I actually just did a codex slash chat, GPUT work presentation with the Affirm team. So thanks to Affirm and NANika for inviting me out to do that and, you know, got to work, you know, alongside the Open AI team as well. But one thing that I really wanted to call out is there is a lot of excitement, right? A lot of times when, you know, I'm doing these trainings and I'm like, you know, encouraging people, you know, bust out their laptops. You know, maybe it's like 50-50. In my second session, I think literally every single person had their laptop out and they were working on chat GPT work, which is pretty clear.

Starting point is 00:05:54 to see. All right. Anyways, our live stream audience, we'll be able to see this podcast audience. You can always see the video version at your everyday AI.com. So what I have on my screen here, well, it's chat GBT work, right? It looks kind of like chat GPD. If you've never used chat GPD work, it should look familiar-ish. All right. So here's, here's all the hoopla, right? In the upper left-hand corner, you can actually just change. There's a little drop-down, super simple and you can change to codex. All right. And you'll see nothing really changed on my screen.

Starting point is 00:06:29 I'll get to the differences later. But if you're confused or if you open it once and you're like, wait, why is it say codex? Don't worry. It is literally the exact same. You can change midway through an action or a task or a prompt and nothing happens, right? All your tasks say the same. Your projects. Everything stays the same.

Starting point is 00:06:48 It just essentially changes the view. All right. So let's get that part out of the way first. And now let's get a little meta, shall we? All right. So here's what we're going to do. We're going to have a little fun because I'm going to technically show off one of the features of chat chbt work by using my phone.

Starting point is 00:07:08 Okay? Because one of the great features, if you have the chat chbtbt app, which I do right here, well, there's a remote setting. So this is actually how I was building my presentation. You know, putting some finishing touches on the plane, right? I was just using remote mode on my phone controlling my home computer, which is really cool. So you can hook up if you have multiple computers that you use on the same chat chbtee account like I do. I can go in and check on my computer at any time, which that's one of the big changes, the big new capability unlocks that we'll see.

Starting point is 00:07:45 It's a little bit different, right, depending on what your organization allows you to do or not. But if you do have that ability, this to me is so big, right? It's allowed me to literally go out and touch grass a little bit more because at any time, I can access any file on my computer, I can kick off any process, any automation, just by talking. So let's see how this goes. Hopefully it goes okay. So all I'm going to do is I'm going to open a new task. And I'm choosing my MacBook Pro, which is the one that I'm sharing here.

Starting point is 00:08:19 obviously and I'm just going to I'm just going to yeah a little bit. All right. So here we go and let's go ahead and. All right. I'm just going to dictate this on my phone for context, right. I'm using the new GPT five six sole model. I'm using low just so hopefully it'll go a little bit faster. And I am using fast mode, which consumes more credits.

Starting point is 00:08:42 So here we go. Look at the Beehive MCP and look up my newsletter from July. 5th. Find the five stories that drove the highest number of clicks or a much higher number of clicks relative to where they were featured in the newsletter. Exclude any domains from your everyday AI.com or Spotify.com as I don't really care about those. Use the context you know about me and everyday AI and what our audience cares about. And then after all of that, write a short five bullet point recap describing those five stories. So five stories. So five stories, five bullet points each describing what's new, what happened. The nuance in the background

Starting point is 00:09:26 required to understand that as well as that's pretty important. Also, which is very crucial, I need you to find the folder on my computer called Final Everyday AI transcripts. So you can use computer use and look in the downloads folder. And make sure you go through the last, like, I don't know, two months of transcripts to better understand the background context, trends, latest happenings to better frame those five AI news stories. So treat those transcripts as like your first source of truth, but search and verify any missing gaps from multiple reputable sources from 2026 only. Then use the sites feature and turn this into a mobile optimized site.

Starting point is 00:10:09 Nothing fancy. Just easy to read and understand and then publish that site. When you're done with all that, use computer use again and use messages. on my computer to send Jordan a message with the link to that site. And I do approve you sending this message ahead of time. So please send that message. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Gen. A.I. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft, and

Starting point is 00:10:54 Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for chat GPT training for thousands or just need help building your front-end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to your everyday AI.com slash partner to get in contact with our team, or you can just click on the partner section of our website.

Starting point is 00:11:28 We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on Gen AI. All right. So I sent that. It's already done dictating. Pretty cool. See it pop up there on my screen on my iPhone. And then if I pop open this right here, there we go.

Starting point is 00:11:57 So it dictated my query there straight from my phone, put it all into chat GBT work. And chat GBT work is getting to work. All right. So I'm going to first kind of, I'm actually not sure how I'm going to do this. Okay. I will kind of explain a little. little bit more on the interface, what's going on, and then hopefully during that time, I can tell you exactly how chat GPT work is well working.

Starting point is 00:12:31 So right now, yeah, it's not technically doing anything on my phone, though I can see it. Right. So a lot of people, I think, were confused by the remote because they're like, wait, can it grab things off my iPhone? No, all this is is a remote. So previously, this was called Codex on the iPhone. That's also confusing. I think it's much better to just be called remote because that's all it is.

Starting point is 00:12:53 And I would love, by the way, if, and I know this sounds like counterintuitive, but I would love that remote feature to be on chatchpte.com for people that have multiple machines, I think it just makes sense, right? Especially for me, like when I'm traveling, like now, I would love to be able to just, because I'm always on my computer to be able to grab something via remote on there versus having to dictate it, but it is what it is. Okay, cool. I hope that it was going to do this.

Starting point is 00:13:17 So you'll see in the upper right hand corner, there's this new picture. there's this new picture and picture feature of computer mode, all right, or sorry, of computer use. So right now it is using computer use, and you can kind of see it. I'm not going to open that little tab because it's going to show like literally everything in my downloads folder, but you can see that little tab up there in the right hand corner, which shows me that computer use is working, which is really cool. All right, the computer use overall is another area that chat GPT really highlighted last week,

Starting point is 00:13:45 along with the, obviously the new chat GPT work and the new GPD 56 models. was the improved computer use, and I like this new little feature. So it really just increases the transparency. So let me just kind of show you the difference between what you would see in chat GPT work versus chat GPT codex. And well, it's not a lot. So when I click over to Codex now, all you're going to, okay, actually right now, you're not going to see anything until it starts to report back on the findings.

Starting point is 00:14:12 But all it really does is simplify the amount of information that it shows you, right? It's not going to show you all the code that it wrote to get this task done because that's all that's happening in the background. Right. And you can see it's obviously using my computer, but it's also running code to do all those things. So essentially codex, you know, one of the people that people are apparently scared of it, even though they're, if you're using it for non-technical work, you know, people just having the word code in there and they say, well, I'm not a coder, right? It's almost like showing up to a party you don't think you're invited to, but you definitely are because there's millions of people just like you on the inside, like me, who are starting to automate all their busy work. All right. So we're going to let that cook, see how it does. Hopefully it does well, right? But let's get back to the details talking about what's new, all that good stuff.

Starting point is 00:15:05 So, yeah, they added two million users over the last two days, which is pretty big. bonkers. And that's on the chat, GPT side and on the codex side. So yeah, kind of same thing. But having two million people bring agenic AI to their desktop over the course of 48 hours is a huge signal of where this appetite is. Right. So to me, you all, if you listen to the show, you know, you know I'm kind of been this crazy guy for the past couple of months being like, if you're not using codex, you are literally missing out. And I can't count. literally the number of conversations that I had with people who just couldn't get over the word. Right.

Starting point is 00:15:47 So I do understand some of the backlash of the heavy codex users because they're like, well, now sometimes it says chat GPT. It's like, who cares, right? Like you can still say you use codex because it's still there. All the getting the diffs, getting, you know, now there's a new pull request feature. You can still get all the technical stuff. But it's not just a better version of chat. All right. The biggest difference here is it can use your entire computer. You know, it has its own built in chat

Starting point is 00:16:19 GPT work has its own built in browser, which is really, really cool. Maybe I'll show that here at the end when we check in on the on the results, but it works just with you, right? That's the thing. Kind of what I said in my presentation is I said, I think the chatbot era, the early chat chabot t was like your handholding an intern, kind of the early agenic era, which is, you know, the, when we had the GPD 5, 5, 5, right, the early Claws before Cod code on the desktop, right? That was just like having a smart coworker, right, working along with you. Now that we have agentic AI. And the big step here is, well, I can have hundreds of these things going on at once, right?

Starting point is 00:17:06 I can have dozens of agents using my computer, right? It's not just one thing running. I can have multiple tasks scheduled. I can just command them using my voice. And these things are running around the clock. So it is something that now that we've entered, what I say is this third phase, so we've gone from handholding an intern to collaborating with a colleague,

Starting point is 00:17:30 to now you are directing a team of experts. So I do like how Open AI timed this new release. with chat GPT work, bringing it to more non-technical people, but also at the same time, coupling it with this new model, GP5.6 sole, is an absolute beast. You know, you're getting Fable 5 level actually above, I would say, on most, if you look at a lot of different benchmarks. So you're getting Fable 5 level, but at like a third or a fourth of the cost. So, you know, that's the big difference there. So like I said,

Starting point is 00:18:08 Kodax is still there. And there has been some criticism, which I understand and do agree with, because you technically now have a lot of different versions of chat GBT work, right? So you have chat GBT work on mobile, or sorry, not on mobile, on the web, right?

Starting point is 00:18:31 But the web chat GPT work doesn't sync with desktop chat gbt work and you also have chat gpti work on mobile and chat gpti work on mobile syncs with work on the web so there are some things where it's like a little confusing but then also chats from chat gpt on the web do sync with chat gpt work in codex so those at least you do have some level of syncing uh you know it's not like clod code where if you open up one thread it has no clue anything what's going on, right? That's another thing I love about Codex or chat chivity work, which is good to call out. Any thread inside, any new chat that you create, any new task, you can say, ask it about

Starting point is 00:19:16 literally anything you've ever done in any other chat or task, which is a huge unlock for people that sometimes get unorganized or for me, right, I'm always firing off a lot of these from my phone, which leads me to be a little less organized than I should. But to be able to go and ask any thread to go find any information, and you can also have it clean itself up. You can say go rename all these and tell me what's on my to-do. So from any chat or from any thread, you can control anything inside of chat-GBT work. But it is a little bit more confusing now. I'm sure OpenAI is going to work on communicating this and probably unifying the experience a little bit more.

Starting point is 00:19:57 But essentially now you have chat, work, codex, and work. Chat GPT work on the desktop and chat GPT work on the web and mobile. All right. So I talked a little bit about what makes it more powerful, but let me just quickly recap some of the actual features and functionality of what made codec special, which now you have inside of chat GPT work. Well, it can access anything you give it access to, right? You can, I wouldn't necessarily recommend this.

Starting point is 00:20:32 But in theory, if you know what you're doing, if you put proper guardrails on, you can give it access to your entire computer. And it can read, it can write. You know, so a lot of times I have agents off doing these mundane tasks for me and they'll just save all of that information to my computer and also, you know, back it up on Google Drive. And then obviously, just like chat U.T, it can create and artifacts as well. So I'll say this, you know, between being able to read and write any files and folders. The level of intelligence being able to create any artifacts, but then being able to also spin up subagents by itself, right? You can literally just say inside chatubd work, if you know it's going to be a huge task and you've given a ton of context, just say, break this up with five sub agents, right? Essentially, that makes your task complete five times faster.

Starting point is 00:21:22 You know, you're technically paying, whether you're paying, you know, the token price or you're paying in usage credits. You know, it's going to eat into your usage a little bit quicker, but sometimes you just got to get stuff. done. So you can just divide the workup into subagents and get things done much quicker. So if you've ever worked on a big project in, you know, chat GPT on the web or Claude on the web or co-pilot and it's just one kind of chat thread and you're like, hey, I'm getting a good result here because I'm using this very powerful agentic model, but it's taking forever. You're going to love working with chat chepti work because not only can you direct it to do subagents, but a lot of times it's just going to do that on its own because it's super smart.

Starting point is 00:22:00 it's going to say, hey, I should probably, you know, have a research agent, a design agent, and then a QA agent to make sure that everything that you said and everything these other agents do is correct. Right. So you almost have this like managerial agent hierarchy that they set up on their own to make the outputs that much better. So let's just quickly talk about the harness, okay? Because ultimately the harness here is really what sets it apart from using anything on the web. And that's what brings together, you know, your actual model, the context that you throw at it, and it handles a ton of context. And anytime it runs out of the context window,

Starting point is 00:22:41 I think Codex chat GPT work by far are the leader in auto compaction, not even close. Right. So when you do go over the context window, I don't know what kind of wizardry, the open AI devs do, but it will essentially crunch up and just send only the important takeaways and keep it in the context window. So working with the model, the context, the tools, all of the rules that you set, there's agent MD files. Don't worry if that sounds daunting. You just say like, yo, chat, make me, you know, an agent's MD file to govern this project according to what we talked about. All that is, is it's a text file that tells the agent what to do or whatnot to do, right? So by default, there's an agent MB file that oversees all of your work inside of chat.

Starting point is 00:23:28 work on the desktop, just like, you know, you can set custom instructions in chat TPT on the web, but then in an individual project, you can set custom instructions there. The same exact thing happens on chat TPT work on the desktop, but those are just called agent MD files. And that's just a set of instructions. So goals are extremely valuable as well. So goal, you can just give it a goal and it will literally work until it gets there. That goal may take five minutes, may take five hours. It may literally take multiple. dates. Again, keep in mind your usage. But if you give it enough context, enough of your decision-making prowess, and if you're ambitious enough, it will actually go

Starting point is 00:24:10 out and work for a long time. So talking about some of the, these are slash commands. So if you are maybe listening and opening your laptop, which I always encourage you guys to do on these Wednesday shows when we put AI to work and we do these kind of live demos, just hit the slash command. You're going to see all these different features and functionality. Plan mode is great. That's a. essentially the basics of chain of thought prompt engineering that you go through side by side with Chad ChbT work to give it better context. You can steer it along the way.

Starting point is 00:24:38 So that's another great thing that most Chad GPT users are going to really like. Because the casual user has never had that power. You've always had that power if you were on the pro plan, not always over the past six months. You've been able to do that. But being able to steer or queue is big, right? So you saw me. I just dictated that very long message. What happens if I made a mistake, right?

Starting point is 00:25:02 Normally, you either have to hit stop and start over, or you literally have to wait, which could be 10 minutes, could be 10 hours. And then you're like, okay, I've got to follow up now. Right. So steering and queuing, you can literally send 100 messages at once, and you can steer. So to steer means, oh, you send it to the agent right away while,

Starting point is 00:25:21 but still thinking, and it will ingest your query and make any, you know, modifications. Q just means, okay, once it's done, that next message gets sent automatically. So I always queue up a ton overnight, aside from automations and things like that. So loops can just repeat processes, kind of like a heartbeat. If you've used the open clause of the world, you know, you can just have something go every 30 minutes as like a heartbeat. Or you can just literally keep looping and iterating.

Starting point is 00:25:47 I think if you're in software development, that makes a little bit more sense. You know, when you have all these PRs that you have to fix, you can just literally just keep looping those. And then we talked about those subagents as well. So some of the highlight features, again, that really separate this from chat, GPT on the web. So being able to use the browser and the computer, apps and plugins are available on both. Skills and automations are available on both. And then the remote as well. All right.

Starting point is 00:26:12 So that is a wrap, but like any good cook, let's check in. So let's first see, did I get a text message from myself? Okay. So weird. It looks like the text message. Let me just go ahead and share my screen here. See what happened. I did not get a text, right?

Starting point is 00:26:34 That's why we do live demos. Sometimes live demos work perfectly. Sometimes they don't. All right, so this did work for about six minutes and 50 seconds. And now maybe let me just go ahead and switch. Maybe we can see the difference here between chat chit and codex. Right. Okay.

Starting point is 00:26:50 So you guys just saw it. It's like nothing. All right. So all it did is in this case, right? It took away what? what files it changed. So in Codex, I can see, oh, it, you know, it edited these seven files and I can review the changes and, you know, look at the JSON and, you know, all these other files.

Starting point is 00:27:07 So, you know, if you do get intimidated by code, well, my response in Chad GPT work had zero code on there. All right. I can still click the, to look at the chain of thought and see exactly what it did, which I always encourage you to do. So I should have explained this when I gave you that long prompt. Why the heck did I do this, right? That process right there, I don't know why I didn't build this skill like six months ago or longer once the Beehive MCP came out.

Starting point is 00:27:31 So Beehive is the email newsletter provider that we have. And one thing I'm always wondering is like, what do you all care about, right? What are you clicking on? What do you read? And then I want to know more about what you guys want to know, right? I want to learn along with you so I can, when I'm interviewing people or bringing you a new show, I know your pain points. Right. So that's one of the reasons why I always try to personalize takeaways.

Starting point is 00:27:55 So hopefully when I'm talking to you all, it's relevance. Right. So what's weird, it says, okay, before I send the messages note, please confirm the final action, send Jordan. I pulled, yeah, okay. So what's weird is, you know, send the message. I'd say that it usually works like 80% of the time. And that's why I even gave it the pre-approval because I've done this so much. I should have invoked one of my skills I have and just overrides that little weird message.

Starting point is 00:28:25 I don't know why it always asks you to double confirm, you know, sending text messages, which is fine. Okay. So now it's doing that, but let's go ahead and open up what it created. So this is called a site. So I did do a dedicated show on codec sites, but it's essentially kind of like a cross between like a lovable. So it's literally like you can just build and vibe code apps for yourself, for your team, interactive dashboards, or just, you know, interactive slides, little informational websites to share with your team. They are private by default.

Starting point is 00:29:02 But if you are on a team plan, you can share them with your team or you can make it public. All right. So let's go ahead and look. I didn't use any skills for design or anything like that because I wanted it to be kind of quick. So let me just go ahead and let's just go ahead and open this. All right. And I will share that screen. I got a lot of screens going on here.

Starting point is 00:29:24 So let's remove this. And, okay. Give me a second, y'all. I got so many screens going. All right, let me share, share this screen. So here we go. Pretty simple, but like it. It's simple, right?

Starting point is 00:29:44 I'm going to look at it on my phone. But here's the top stories that people clicked on. and then a personalized, you know, look through our readers, right? It says for everyday AI readers, you know, this enforces, reinforces a recurring theme, right, all this stuff. Because I have a lot of information about who our audience is and what they ultimately care about. So, you know, number one, Saudi Nadella says enterprises may be giving AI vendors,

Starting point is 00:30:08 their real competitive advantage. Number two, Grock, build reportedly uploaded entire code repos, not just the file that needed. Number three, meta workers say AI-assisted layoff scoring, penalized people on protected leave. Number four, the deep mind story about Demis wanting a U.S.-led watchdog. And number five, perplexity turned computer into a persistent agent workspace. So what's great there is I don't have to go in and see because I'm always wondering.

Starting point is 00:30:35 I'm like, we put between our AI news stories and our little fresh finds, right, which are just these kind of bullet points, we probably cover like 15 to 20 different things, right? So this is helpful to me. don't know what the heck you all care about. So that's it. That's a wrap. That is the new, but not technically new, but still, yes, kind of new chat GPT work. So if you've been wanting more power or if you've been agent curious and you're like,

Starting point is 00:31:04 how does this work, right? You have a chat GPT account and you've been enjoying some of the maybe more agentic features, right? Maybe you use plugins and you use, you know, skills on the web. and you use these apps, but you maybe want a little bit more. The desktop is where it's at, right? I already mentioned, you know, computer use, browser use are some of my most use skills. But then just being able to schedule these things and having these things run around the clock for you,

Starting point is 00:31:33 update kind of your working knowledge and you being able to go in there and just direct them to get more work done, more manual knowledge work. By the way, it is a big unlock. So I hope you found this episode helpful. And hey, do we like the Codex created slides, right? I'm 50-50. It's kind of fun to create these slides in Codex. Normally, I don't know why.

Starting point is 00:31:54 I actually used to really enjoy, you know, copying and pasting all of this information over into Canva. But today I'm like, I had started a bunch of research in Codex anyways by presentation. So I'm like, let's personalize this and be super meta and do a Codex presentation in Codex about Codex. But I hope it was helpful either way. If you haven't already, please do me a favor, subscribe to the podcast. Then go to Your EverydayaI.com. Make sure to sign up for the free daily newsletter.

Starting point is 00:32:24 Thanks for tuning in. We'll see you back tomorrow and Every Day for more Everyday AI. Thanks, y'all. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayaI.com and sign up to our daily newsletter

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Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 819: ChatGPT Work: What’s New, Who It’s For and How to Use It

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