Everyday AI Podcast – An AI and ChatGPT Podcast - EP 570: ChatGPT’s Agent Mode Overview: 5 things you should know

Episode Date: July 18, 2025

ChatGPT Agent is here!↳ What the heck is it? ↳ How does it work? ↳ What do you need to know? Glad you asked, shorties. Join us for the answers. Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:ChatGPT Agent Mode Overview & NamingLive ChatGPT Agent Demo WalkthroughChatGPT Agent Mode Availability & PricingOperator vs. Deep Research Capabilities ExplainedChatGPT Agent Virtual Computer FunctionsSpreadsheet and PowerPoint Generation in ChatGPTMini RAG-Ready Agents with Data ConnectorsChatGPT Agent Security and Biological Risk ClassificationTimestamps:00:00 "Introducing ChatGPT Agent"03:41 Potential Delay for Paid Plan Rollout09:24 "Chat GPT Agent: New Tools Overview"12:44 OpenAI-Microsoft Tensions Over Software Overlap16:42 "ChatGPT's New RAG Feature Unveiled"21:55 AI Agent with Weapon Risk23:31 Agent Models: Boon or Bane?29:05 "Agent Mode: Seamless Editing Integration"Keywords:ChatGPT Agent, Agent Mode, OpenAI, virtual computer, Agentic skills, Operator, Deep Research, browsing websites, web research, synthesizing information, Microsoft competitor, PowerPoint creation, Excel spreadsheet creation, terminal access, public API integration, connectors, data analysis, image generation, multi-agent environments, retrieval augmented generation, mini RAG, AI operating system, human-in-the-loop, security concerns, biology classifier, biological weapons classification, chemical weapons classification, O3 model, Google Gemini 2.5 Pro, agentic models, AI workflows, editable slide deck, Microsoft Office alternative, AI-powered presentations, spreadsheet automation, cloud-based agents, AI task automation, calendar intSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

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. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Open AI just released what I think is the best agent out there.

That's publicly available at least. And I don't think it's really close, at least not right now. So what is this new chat GPT agent? How does it work? And what do you need to know about it? Well, we're going to be answering all of those questions and a lot more today on everyday AI. What's going on, y'all? My name's Jordan Wilson and welcome to Everyday AI.

This is your daily live stream podcast and free daily news that are helping everyday people like you and me, not just learn AI, but how we can leverage all the latest happenings to grow our companies and our career. So if that's what you're trying to do, you're definitely in the right place. So it starts here with the unedited, unscripted, live stream and podcast. But to leverage all this information and become the smartest person in AI at your company, you got to go to our website. That's your cheat code. It's your everyday AI.com. So once you're there, you can go sign up for the free daily newsletter. We're going to be recapping the highlights of today's podcast.

But also, you can go listen to like 560 plus episodes back on our website for free, the entire back catalog. So you can go learn from some of the smartest people in the world, sort of by category, no matter what you're trying to find, we have the answers on there. All right. Speaking of answers, if you're looking for the AI news, that's going to be in the newsletter as well. But let's get to the answers on what the heck is this new Chad GPT agent. How does it work?

And what are, do you need to know about it? Well, I'm going to tell you five things that you need to know about it. So on today's show, here's what we're going to go over. I'm going to give you an overview of what agent mode is inside chat, GPT and exactly what it does. I'm going to do a short live demo. That couldn't go wrong, right? so you can see how it works a little bit on the hood. And then I'm going to tell you five important things that you need to know.

All right. Enough chit-chat. Let's just get into it. So hours ago, OpenAI released chat chbti agent or is it agent mode? Well, I'm not sure. We all thought that OpenAI finally won the naming battle by calling something chat GPT agent, but then they also refer to it as agent mode as well. But at least it's not called, you know, operator v2 or some other random names.

So whether you're calling this chat GPT agent or agent mode, it is technically the same thing. So let's first go over a brief description of this from chat GPT. And then we're going to start with the live demo because it could take a little while. So this is from OpenAI's press release or their blog release, should I say, saying introducing chat GPT agent, bridging research and action. Chat ChitpT now thinks and acts proactively chooses from a toolbox of agentic skills to complete tasks for you using its own computer. All right.

Let's try it, shall we? And, hey, FYI, I should talk first about availability because that was just updated like hours ago as well. So right now it is only available if you have the $200 a month chat GPT Pro plan. which I have for other users plus in teams. So if you're on the other paid plans, now it's supposed to start rolling out Monday. You know, that could get pushed back again.

You know, it's usually one of those things that's like, hey, you know, based on crazy demand, you know, we can't start delivering this yet. So it's already happened once. So, you know, Monday, maybe, but it could be even later than that. All right. So, yeah, you do have to be on the chat, TPT pro plan right now, but probably within a couple of days,

it will be rolling out to the other paid plans. All right. So now, for the podcast audience, I am sharing my screen. And for people that ask, you can always go watch the videos both on our website. So if you sign up for the free daily newsletter, you can just click it and then go watch the video on our website.

Or we do have that YouTube channel thing as well. So just go find everyday AI. So yeah, a lot of people are like, you know, this podcast stinks. There's no video. There's video, y'all. So it's just on our YouTube channel or on our website. All right.

So now I am in chat chfety. So the cool thing is this is no longer outside of chat chbtee. It is inside, which is pretty big because operator previously, which was open AI's most agentic offering, it didn't work inside of chat chbt. It was actually operator dot chat gpt.com. And that was actually a huge disadvantage. I think one of the reasons that a lot of people, including myself, didn't use it a lot. I may be used operator a couple times a week, right, where a lot of things I'm using them hourly, right?

And I'll probably end up using my, definitely I'm going to be using my whole quota for agents. So it's chatypte.com. And there's going to be a new selection. So if you go to the tools, so it's not in the normal drop down. that's where I think a lot of people are going to look for it. So it's in the tools. So under tools, you'll see a new agent mode. And then it's going to also say how many that you have left and then when that resets.

So it's 400 for pro users and then I believe 40 for teams and plus users. So I'm going to click agent mode. The cool thing that I like is when you enable agent mode, there's some suggested prompts or things that you can run, reports, actions, spreadsheets, presentations, et cetera. All right. So I'm going to go ahead and click go on this one. So all this prompt was fairly simple. And we're going to check in on it in a little bit. I said, go find the five latest episodes of the Everyday AI podcast by Jordan Wilson. Then create a spreadsheet that has the episode number, title, URL, date episode category in two

sentence description. With that information, please also create a PowerPoint slide deck. So I'm doing something technically a. a, you know, depending on how you look at it, a four step process. So number one, it's targeted web research. Number two, it's some data entry, well, actually synthesizing then data entry. Then it's creating a spreadsheet and then creating a presentation. All right. So it is going live.

There's actually some cool stuff going on on screen that we'll talk about at the end of the show. It's like a cook show. You know, I got to put something in the oven, you know, and then check back in on it at the end. All right. So let's talk a little bit more about what this chat GPT agent actually is what it does. So essentially, it combines operator, which was ChadGBT's first agent and then deep research,

which was technically their second agent and some new capabilities. So if you don't follow along, don't worry, I'll explain what those are. So operator was essentially, or is, a tool that could browse websites. And it does it in a different way than deep research. So I'll kind of tell you what each one does and the difference is the pros and the cons. So it actually might make sense to describe deep research first, actually. So chat GPT's deep research, it's really, really good.

I've said this all along. That in Google's deep research are 1A and 1B. There's like 20 companies now with these deep researches. And they're great. So it's a great way to have way fewer hallucinations than a base model. Essentially, Chad Chbcute's deep research agentically because it uses the O3 model. It will, you know, you will ask it a question. It will ask you a couple clarifying questions.

And it'll go out and research for anywhere from, you know, usually about four to eight minutes. It'll go to a couple dozen sites sometimes. Not quite as many as Google's deep research, but it does a really good job. And then as it's researching, it decides it might change path. It might go, you know, run some Python code if it needs to, et cetera, right? So that's deep research. But it does this very quickly.

So it's good for looking at kind of scanning the text of pages. Operator, on the other hand, is good for looking at pages, right? So understanding the visuals on a page, whereas deep research, it's not really like that. Think of that as, you know, it's like a book scanner, right? where, you know, operator, it literally is able to see everything, see and process and understand because it uses computer vision, whereas deep research more looks at the embedded text. So now agent, chat GPT agent combines both of those. So it does use when it needs to.

It uses more of the deep research where it goes to a lot of different websites. But when it needs to, it can also look at something and understand something on a website visually. And this all happens in a virtual environment. So essentially, you are using it in the browser, right? But chat GPT agent has its own virtual computer, which is really cool. And so essentially, there's some new tools and new capabilities, which we're going to talk about and explain a little bit more, but to just give them to you. It can create PowerPoints, which is big.

It can create spreadsheets, Microsoft Excel spreadsheets. That's big. It can also run code in the terminal on its own computer. That's big as well because then it can tap into essentially any third party public API. That's also where this thing can get a little dangerous as well. All right. So let's read a little bit more about open. And this is from Open AI's website.

So I'm going to go over it kind of quick, but I wanted to hit all the details and, you know, They obviously worded it very well. So I wanted to read through this. So it says chat Chapti can now do work for you using its own computer, handling complex tasks from start to finish. You can now ask Chad Chupit to handle requests like look at my calendar and brief me on upcoming client meetings based on recent news, plan and buy ingredients to make Japanese breakfast for four, and analyze three competitors and create a slide deck.

Chad ChitpT will intelligently navigate to, websites, filter results, prompt you to log in securely when needed, run code, conduct analysis, and even deliver editable slideshows and spreadsheets that summarize its findings. At the core of the new capability is a unified agenic system. It brings together three strengths of earlier breakthroughs, operators' ability to interact with websites, deep researches, skill in synthesizing information, and chat GPT's intelligence and conversational fluency. But it says chat chit.

T carries out these tasks using its own virtual computer, fluidly shifting between reasoning and action to handle complex workflows from start to finish, all based on your instructions. Most importantly, you're always in control. ChatGPT requests permission before taking actions of consequences, sorry, of consequence, and you can easily interrupt, take over the browser, or stop tasks at any point. And then it says, you know, in terms of availability, starting with the pro, yeah, yeah, yeah, et cetera, et cetera.

Sorry, y'all. I just realized that I'm actually still kind of sick. So I'm a little nasally and all this, but AI doesn't stop, so I can't stop either. So Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI assistant. live in the Adobe Firefly app, the all-in-one creative AI studio. Powered by Adobe's creative agent, Firefly AI assistant lets you start with your vision, just describe what you want, and shape the outcome as it takes form with the assistant.

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let's get to the five things that you need to know. Some of them I just hinted at or alluded to while going over that top blog post release from OpenAI. But first, number five, this is kind of a shot at Microsoft. Yes, I know Microsoft is reportedly a 49% equity owner in OpenAI, and they've invested reportedly $14 billion. So why would OpenAI kind of

tread on their ground, right, and enable people to create spreadsheets and PowerPoints. Good question. You know, there's been a lot of reporting over the last year or so that the relationship between Open AI and Microsoft has become a little frayed. You know, they haven't really talked too much publicly on that, but there's been plenty of reporting, you know, trying to renegotiate their contracts. There's been some reported feuds and blowups and all of these things. But I mean, that's pretty big.

And, you know, actually, and we did this in yesterday's, yesterday's show. The first reporting on this was specifically that this was a Microsoft competitor, that this agent was a Microsoft competitor, that, you know, oh, now all of a sudden, people aren't going to necessarily have to have a power or sorry, have to have a Microsoft office license. I don't think that's the case, right? Um, I think that's going to impact a very, very small percentage ultimately of Microsoft users, right?

I don't think there's anyone out there that, you know, they're, or sorry, I don't think there's millions of people out there that now are going to be like, okay, I can cancel my Microsoft office subscription because I can build PowerPoints inside, you know, chat GPT agent. I don't think it's going to be like that. But for sure, this is starting to really tiptoe on Microsoft's ground of being the office leader, right? And just also talking about moving work from the desktop to the AI operating system. It's something I've been talking about for a very long time.

And people, I think for the first year, I was talking about AI. operating system, people didn't understand why. This is why, right? This is why you have to start bringing all of your processes into an AI operating system because pretty soon, I mean, these are the quintessential PowerPoint and Excel. Those are the quintessential programs for most knowledge workers, right? And now that you have those inside of chat chit, think of how much of a leg up that you have, right?

Once you, once everyone gets access to chat chabit, agent. If you've already been moving your processes inside of chat chitb-t, you're not starting from scratch. But regardless, I do think this is a little shot at Microsoft, but I think some of the reporting on that part has been overblown.

Number four thing that you need to know, agents have most normal chat chad-a-d-t features, which is pretty cool, right? So yes, it marries operator and also deep research, but then also some of the

base modes and features of chat chb t obviously the model itself right so you get the uh the smart reasoning and the fast speed and being able to flip flop between the two but also uh it can use image gen so uh chat chbti's image gen which is an extremely popular AI image generating uh program so that's huge right especially when it comes to the slide deck uh i i only did one test on the powerpoint one so far uh the visuals weren't great, but I also didn't necessarily tell it. Like, hey, you know, make sure to, you know, have a clear visual on each page, right? And use image gen to do blah, blah, blah, right?

If I worked with it a little more, I'm pretty sure I could get some very impressive visuals in a presentation. And also connectors. That is huge. So that brings us to number three, the thing that you need to know. Essentially now, this is a mini-rag, rag. ready agent. And the fact that we essentially have gone from in the course of like three years, tiptoeing on the surface for large language models to now anyone with a paid chat chitpt

account or at least starting Monday, right, or Monday or shortly thereafter, you essentially have rag retrieval augmented generation, right? So many companies spent multi-millions of dollars essentially trying to bring in all of their data first, right? So, hey, before, you know, your query, before chat ChbT or a large language model goes, looks at its internal training. First, it's essentially going to look at these vector databases and, you know, essentially see your data first. And then only pass or only retrieve information in its internal database that it doesn't have

in your data. Right? Company spent a lot of money, a lot of time figuring that out. Now it's here in a couple of clicks of a button. And it's available agentically. This is huge. So what do I mean by it's mini rag ready? Well, you have the virtual computer tools, terminal use, all that stuff. But here's the thing.

You can toggle off web search. Okay. And then you can use chatGBT's connectors. So essentially you can restrict, which, you know, people might not understand why you would want to restrict an agent, but you can have it only look at your data, right? So Canva, Gmail, Google Calendar, Google Drive, Outlook, you know, your Outlook calendar, your Outlook email. And there's other connectors in there as well. That is enormously helpful, right? One of the biggest problems, well, there's a lot of problems with agents,

especially when we talk about multi-agent environments. But one of the biggest problems is, well, when a single human is prompting a large language model, human gives one response, or sorry, one query, the large language model gives one response. An agent, it's a little more difficult, right? There's a lot of things going on under the hood. Most of these agentic queries take, it said, between 15 to 30 minutes, right? So think it's fairly easy to check the truthfulness or accuracy when a single human is using,

you know, chat, TBT in a large language model chat. When we get to agentic, it's much trickier. That's why it is important to know that you have these capabilities to actually restrict the web and be like, No, agent, only look at my stuff, right? You still, obviously, you need that expertise driving the loop. Human in the loop, throw that out. Human in the loop, FYI, so 2023. It's dangerous.

So number two, same tool set a human has. And this part is big. Okay? Whereas before, yeah, you had operator, you had deep research, you have all these different modes. You have Chad GPT, but, you know, operator and chat ChbT aren't kind of connected. And then deep research is inside Chachapit, but it's kind of on its own island. Now they're all, not only are they all now together and can share information and share context,

but they have a virtual computer. Yeah, that's big but also scary. And I'll explain that now for, for, for, for, for, for, for, for, for, for, for, for, for, for, Number one, but essentially, this is now in my very brief experience in reading about it, right? It feels more like for the first time, even though ChatGPT has, or sorry, OpenAI called deep research, their agents, they called operator an agent. I don't know. Yeah, was I impressed at the time? Sure.

You know, looking back with context, I don't know. those to me don't seem super like they don't seem like agents they seem like agentic right big difference this obviously feels like an agent right where a lot of times you know people are talking about oh this agent agent agent it's like no 90 uh i think it was a gardener study uh found that 99 percent more than 99 percent of uh you know solutions out there that market themselves as agents aren't agents. Their AI assistant workflows or agentic models, right? This is an agent.

It is literally because it has its own computer and it is making decisions on its own. That's agency, right? You're not restricting it. It literally has its own computer. It can create and save files. It can run commands in the term. and access third-party APIs on its own. Okay, which brings us to number one.

The biological weapons classification. So this is something that Open AI does with all models. They classify it essentially like, how dangerous is this model? And this is the first time that Open AI designated a certain model or mode as a high capability in biological and chemical weapon domains with every prompt scanned by a biology classifier suggesting genuine dual-use concerns. Yeah. To open AI's credit in their live stream when they announced this yesterday, they said it can be

dangerous, right? If left unchecked and bad things may and might actually happen. Right. And I think that's important to think about. It's much different when, you know, a model, right? The O3 model, it didn't get the high capability for the biological weapons classification. An agent is scary in a good way, in a bad way, in a what does my job mean kind of way. But regardless, bad things are going to happen. Because now, kind of the confine of how, you know, we've been thinking about agentic models.

And again, ChadGBT's O3 and O3 Pro, agentic models for sure. Google's Google Gemini 2.5 Pro, agentic models, not agents. When you're working with agents, the capabilities skyrocket. but so does to the cause for concern. All right. So that's a wrap, but I didn't forget. Let's go in and check. All right.

We'll see what's in the oven. Luckily, I did it once before. So my very first agent prompt, it worked correctly. So let's see if the second iteration, if it did it correctly or not. All right. So let's go ahead and take. a look here. All right. So, all right, sharing the screen. There we go. So again, my prompt was go find the five latest episodes of the Everyday AI podcast by Jordan Wilson, then create a spreadsheet

that has the episode number, title, URL, date, episode category, and two sentence description. With that information, please also create a PowerPoint slide deck. All right. So let's see. It says opening to confirm request. Okay. Looks like actually this. one is still working. Yeah, because I'm looking at it. It's not done. So let's see how long it's been working. There's a lot going on out of the hood. Okay, it doesn't give the, the amount of time. It might just be finishing up though. Let's see. All right. Well, you'll see it's not in error. So, but it's not done either. So it's been going for like 20 minutes. This one's been really working. So let's go ahead and look at the one that did

finish on time and by on time earlier. And this one only took 18 minutes. So it correctly went through. And you can also check on the work as well. I'm not going to go through that full thing right now, but you can always click the worked for 18 minutes or worked for whatever when you're done and see exactly what went on. And just to recap, the one that did finish in time, a lot, a lot going on here. So we have a terminal request here. And let's see, you can like replay it from the beginning. So it's almost like a little video animation.

And then you can scroll through it as well. So it shows every single thing that it did. Right. So it first, you know, did a search for everyday AI with my name. It went through. It looked at the 10 episodes. And so you can see, the actual order went through.

Then it, you know, it's going back, it's thinking, it's talking to itself, I need to do this. Then it opened the terminal to start running some code.

There we go, which I believe it used to eventually create the PowerPoint. So let's go ahead. I'm going to, I'm going to click, I'm downloaded this CSV. I can't load it up here in the browser,

but I'm opening it up on my screen. All right. And everything is perfect on that. So it gave me, great job it did exactly what I want it gave me the episode number the title the URL the date the episode category and a two-sentence description that it wrote on its own that's pretty impressive that's pretty impressive that's like an intern project right oh you know I need to do a better job organizing all our episodes intern go do this all right well it did a great job all right and then also

let's see here here's a presentation I'm actually checking to see if the other one finished It's still in finish. Dang. Okay. So this one, here's the presentation. And it's a PowerPoint. So I can download it. I already checked it.

You can open it, edit it, et cetera. So the first one, visually, not fantastic, but it's usable, right? The reason I say not fantastic is it tried to cram a bunch of, a bunch of text on a little table here. And it's bleeding over. So we have some text bleeding over. But, you know, I went in. I think it's actually just a fine. choice because when I opened it up in PowerPoint, it was fine. But, you know, we have the cover

slide here. It says latest everyday AI episodes. It has a dual pain on the right hand side. There's a little photo of a microphone and a, you know, AI kind of graphic illustration, a couple pages for the episode overviews. So nothing crazy, but it did his job, right? I didn't tell it like, hey, make sure each person. page has, you know, visual and a headline and a subhead and, but, um, it's really good, right. Um, also, I love the, uh, the PowerPoint preview inside of agent mode. It's super clean. It feels like you're editing in actual, like editing in a, um, in a, you know, PowerPoint or

a slide editing program. It is super slick and it works really, really well. So to recap. What the heck is agent mode? Well, it's essentially putting together the best of operator, deep research, chat GPT, and some new tools, right? Having use or being able to create PowerPoints, Excel spreadsheets, and also having access to a terminal, which opens up a world of possibilities. You saw in the demo, pretty good, right? First, first attempt, obviously no one's going to be using that PowerPoint.

But with a little bit of work and more description, it would have probably turned out pretty well. And then real quick, again, the five things that you need to know. Number one, kind of a shot at Microsoft. Number two, agents now have most normal chat TV features. Number three, there's essentially mini rag now ready working with connectors. Number four, it has the same tool sets as human. and it feels more like working with a human than in large language model. And then last but not least,

yeah, that kind of troubling biological weapons classification. Yeah, this thing is very powerful, but also kind of dangerous. All right, that's a wrap, y'all.

I hope this was helpful. You know, if you do want to do a deeper dive on chat chbtee agent, just let me know, just, I don't know, type agent or something. Or if you're on the podcast,

you can comment on the podcast. I can't reply back, which is weird, but I'll see it. You know, so I always say like, oh, if a certain amount of people will, you know, it's always like an arbitrary number. I'm like, oh, if, you know, 10 people say agent, that means that there's enough appetite. So, you know, if you want something more in depth, we could do it for one of our, you know, AI at Work Wednesday shows or something like that. But let me know, just, you know, type in agent.

So I know if there's an appetite or not, I'll probably put something in the newsletter as well. Speaking of that newsletter, I hope this episode was helpful. If so, please go to your everyday AI.com. Sign up for the free daily newsletter. We're going to be recapping today's show as well as all the other AI news that you need to be the smartest person in AI at your company. Also, if you're listening on the podcast, appreciate the support. As always, please subscribe to the show.

Leave us a rating. If you could, it takes two minutes, but it means a lot to me. So thank you for tuning in. Hope to see you back for more Everyday AI. Thanks, y'all. Meet Firefly AI assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest,

orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution. Stand control with the ability to step in and refine at any time. See it today at firefly.adop.com. 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.

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