In short
How OpenAI Codex (and similar “agentic” coding tools) goes beyond chat by using projects, local folder context, and SOP-like markdown files to take actions in marketing and business operations.
Guest
Dan Sanchez (Danchez), senior marketing leader across multiple industries; has been focused on AI for marketing for ~3 years and previously appeared on the host’s podcast in March 2022.
Key claims
Codex is more intuitive than ChatGPT for non-technical users because it proactively finds context in accessible folders and can execute tasks with checkpoints. “Agents” are mainly standardized operating procedures written as markdown (MD) files plus test loops and lessons-learned docs.
Notable examples
Creating a system to scrape Trim Healthy Mama recipe ingredients, generate consistent flat-lay infographic images, and upload them back to WordPress via API; delegating proposal writing (research from call transcripts, draft, then CRM/email/folder actions). Also mentions automating social posting through HighLevel and using Codex to leverage Mac/Windows native tools for video clipping and PDF-to-audio options.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Rise of Codex in AI
0:45 to 2:24
Discussion on the evolution of OpenAI's Codex and its impact on coding and business.
“And exactly in the same way that Cloud Code became a tool for many other things other than writing code, the same exact thing happened with Codex.”
Introducing Dan Sanchez
2:24 to 3:17
Guest introduction, highlighting Dan Sanchez's background and expertise in AI marketing.
“You and I have done a gazillion shows for ourselves, for other people during that time.”
Navigating AI Tools and Trends
3:17 to 5:52
Dan shares his journey with AI tools like ChatGPT and Codex, and their implications for marketers.
“So I got to say, like when I started, I was probably a year after ChatGPT launched.”
Understanding Codex Use in Business
5:52 to 6:58
Insights into why Dan prefers Codex for AI-related tasks over other tools.
“Codex, I started hearing from a friend that Codex was really good.”
Features and Advantages of Codex
8:41 to 10:04
Detailed conversation about the unique features of Codex and its benefits for users.
“The harness is a bad technical name because it's like a climbing harness.”
Features and Advantages of Codex
10:11 to 14:00
Detailed conversation about the unique features of Codex and its benefits for users.
“It's like, it's already part of your subscription that you're paying for.”
Leveraging Codex for Project Organization
14:00 to 20:50
Learn how to effectively organize and utilize Codex for project management using the PARA method.
“It has all my chats underneath, just like chat GPT.”
Advantages of Using Codex in Marketing
20:51 to 22:42
Discover how Codex improves marketing efforts through integrated tools and capabilities.
“So I am, in fact, this is an old project.”
Automating Recipe Infographics Creation
22:43 to 28:00
Explore how to automate the creation of infographics from recipe data using Codex.
“And you can see they're like interesting recipes.”
Understanding AI Agents and SOPs
28:00 to 29:15
Learn how AI agents operate using standard operating procedures (SOPs) to enhance productivity.
“It could go and do the work of fixing all the things and you re-render it and fix the one little bug.”
Show all 14 chapters
Testing and Validating AI Processes
29:15 to 31:04
Discover the importance of testing AI processes through edge cases for improved reliability.
“The ultimate employee has a set of things they need to do, and they will follow the instructions to the T every single time.”
Innovative Features of Codex UI
31:04 to 33:59
Explore unique user interface features of Codex that enhance user experience and project management.
“Like you can build all of these things into the process itself.”
Integrating AI with Marketing Tools
33:59 to 36:28
Learn how to automate social media posting and other marketing tasks using Codex's capabilities.
“One last thing is you may not, I'm doing this for a lot of knowledge work.”
The Future of AI in Business Operations
36:28 to 39:20
Discuss the transformative potential of AI in business operations and knowledge work.
“I probably need to get into plugins sometime, but I don't really care because I can just build my own plugins.”
Transcript
Automatic transcript. May contain errors.0:00Isar Meitis:Hello and welcome to the Leveraging AI podcast, the podcast that shares practical, ethical ways to leverage AI to improve efficiency, grow your business and advance your career. This is Isar Meitis, your host. And as you know, in the past few months, we've been taken away by this crazy Claude hype. Everybody was doing Claude code, Claude co-work, Claude everything. And it really took everybody away. And people almost started to forget that the real 800-pound gorilla is OpenAI with ChatGPT. And to be fair, they were stuck in a really bad place end of last year, but they've made a lot of changes.
0:34Isar Meitis:And the biggest change that they've done was they launched Codex. And Codex was launched specifically to battle Cloud Code, which means it was battled to allow people to write code faster and better. And it became a very good coding tool. And exactly in the same way that Cloud Code became a tool for many other things other than writing code, the same exact thing happened with Codex. So there's been a huge spike in people that are using codex for writing code. In the past few months, there's been a very big spike in people using codex for more or less everything else. Now, our guest today, Dan Sanchez, who is also known as Danchez, held a senior marketing position in multiple companies in multiple industries, always doing really, really cool stuff.
1:16Isar Meitis:How do I know he's been always doing very cool stuff? Because Danchez has been on my previous podcast back in 2022. So it's been four years ago. Yeah, March of 22. So four years ago before ChatGPT came out. And even back then, he was very knowledgeable. And I was always very impressed with how deep he goes into understanding marketing and also how good he is in explaining the concepts behind these things. And in the past three years, he's been all in on AI and how to use AI to improve marketing. And when I say improve, it's not just doing it faster, it's also doing it better. And in the past few months, he's been doing this with codex.
1:53Isar Meitis:So we get that two-for-one BOGO kind of thing in this episode. We're going to learn on how to do marketing with AI. But more importantly, or as importantly, we're going to learn how to use codex for doing things that are not writing code, which means these capabilities, skills, best practices that we're going to learn today can be transferred to doing anything in business and not just marketing, which is really exciting. And hence, while I'm really, really happy to welcome Danches back to a podcast, not the same podcast, and talk about how to use codecs for business, Danches, welcome to the show.
2:27Thank you so much for having me on. It's fun to do it a second time. Different shows, but same people.
2:32Isar Meitis:Yeah, different show, different topics. You and I have done a gazillion shows for ourselves, for other people during that time. And it's, you know, we run into each other randomly. Again, just a quick story on how this happened. We run into each other randomly. We both were speaking at Social Media Marketing World. They had this year an AI Business World as a mini conference within the conference. We were both speaking there. We run into each other in the hall like, oh, this is so awesome. And we learned we're both doing similar things. And so this is a great opportunity. So again, I'm very, very excited.
2:59Isar Meitis:I'm one of those people that was caught in the cloud hype. I've been probably 90 % in the cloud universe, other than for some of my clients. So I have clients in Gemini and I have clients in Codex and I have clients in ChatGPT. So for them, I obviously do work in those fields. But I'm myself very, very excited to learn from you today. Yeah. So I got to say, like when I started, I was probably a year after ChatGPT launched. And then I launched my own podcast, AI Driven Marketer, because I was like, this is clearly the future. Like I have to learn everything there is to know. And you, we both know that like podcasting is one of the best ways to learn, but then document what you're learning for everybody else to come along with you.
3:34So like I did the journey just like you. We're both podcasting. I'm interviewing people. I'm showing my own stuff. But about, I don't know, back maybe fall last year, like the code, like cloud code is becoming a thing. And I'm just like, I'm just not a cloud guy. I don't really find the code to be good enough for a new, like I know how to do HTML and CSS. I'm good at web design. Like I set up websites all the time. I'm really good with WordPress and all this stuff. But I'm like, the code just isn't quite sophisticated for me to be able to do more than maybe simple scripts that I need it for websites that I'm doing manually still, you know.
4:06But then when Claude, it was a OpenClaw came out, right? In the beginning of this year, things started changing. Not only did OpenClaw start to take on its own trajectory, but Claude Code around that same time really started taking off. And then they launched CodeWork. and all this is going on. And I'm like, I'm just busy doing other things. I'm exploring how to turn a book, how to turn a podcast episode into a book and all kinds of, I'm exploring other stuff. I'm kind of ignoring this whole side quest going on. I'm watching Open Claw curiously. I'm just kind of, I don't know. I don't know. The beginning of this year, it really got hard even for people doing it almost full time, like you and I, to keep up.
4:42Like the paths diverged into so many different rabbit holes that I'm like, I don't even know what's going on in video right now. I just, part of me is just kind of like, screw it. I just can't keep up with all of it anymore. And I've always been a ChatGPT guy. I've liked Claude. It's fine. I just found that ChatGPT was a better tool for me in a bunch of different capacities. I also found that ChatGPT did have one thing over everything else in general, and that ChatGPT was better at dealing with ambiguity for some reason. And I think that's true across images. It's true across its content. It's true across its code.
5:14You could know less, and it can help you find the thing more and faster. I think that's one of its chief things. And one of the reasons why I recommend it for marketers and other non-technical users that are out there. I'm like, hey, if you're not quite sure what you're doing, just use ChatGPT. It's much, much better. Cloud is definitely more technical, especially if you really know what you're doing. Like you're a coder using it to write code, probably should use Cloud. If you're a writer learning to use Cloud for a writing tool, you should probably use Cloud. There's a bunch of different situations like that.
5:42But in general, I was sticking to ChatGPT. I would keep testing everything else and I stuck to it a little. And then I think enough time had gone by and the Claude code thing was not slowing down. OpenClaw was continuing to go up. Codex, I started hearing from a friend that Codex was really good. And so maybe just a few months ago, back in March, I was like, okay, like I can't, it's been three months and the news hasn't died down about this thing. I don't know about you, but sometimes I wait for a launch to happen. And then I wait to hear what, if people are still talking about it a month later, you know, I'm like, oh, that's the one to stick.
6:13and now it's time for me to come in. I was a little late to the game because I was busy. But naturally, as a ChatGPT user, I gravitated towards Codex. So I installed Codex and there was a few learning curves, but it wasn't that hard. I also did Cloud Code and I was comparing side-by-side both the Mac apps, you know, and then you log in with your accounts and I was using both and I was like, you know, Codex is just, I don't know what it is about it, but it's just more intuitive. It feels more like I'm in ChatGPT's super app. Codex feels definitely like it was designed for developers. I'm a little bit more confused.
6:44Code work is kind of like a half step in between, but I was like, I don't know. Codex was just all in one. And I found that now that I'm using it, I'd say about 90 % of my work AI work is now happening in Codex, not in ChatGPT at all. And there's a few reasons for that. But I think people on your show are probably familiar with the way Cloud Code works. And Codex works in the same way where you give it access to maybe a folder, maybe your whole computer, if you have a separate computer and you want to do that. But even if you just give it access to a folder, it has access to everything in that folder.
7:14And the thing that's different about these harnesses, they call them, it's crazy, weird name to call these things, but whatever, that's the name.
7:20Isar Meitis:Well, like Chachi PT is a great name. This episode is brought to you by the Multi-Agent Orchestration Course. We are about to launch the July cohort, which is already sold out and a little bit over that as well. And we're almost sold out of the August cohort as well. So if you're interested in taking the course and you do not want to wait all the way through September, and trust me, you do not want to wait all the way through September. You should look for the link in the show notes and sign up as quickly as possible. We just finished a cohort and it was extremely successful. Everybody were extremely excited, was able to build amazing things.
7:54Isar Meitis:People got new contracts that they didn't get before. One person found a new job using the things they've learned and so on. So people are making huge updates and upgrades to their career and to their businesses using what they've learned. Real impact during and immediately after the course. So it does provide actual hands-on capabilities that you can use immediately to drive growth in your business and for your personal life and career. And as I mentioned, if you want to learn how to use AI properly in this era of AI right now, so the first half into the second half of 2026, don't waste any second and come and join the course because just like all the other cohorts, this one will settle as well, probably in the next week or so.
8:34Isar Meitis:And then the next time you'll be able to join us will be in September. So don't wait, click the button in the show notes and come and join us. Yeah, I know. It's like, but that's a bad brand name. The harness is a bad technical name because it's like a climbing harness. Like, what are we talking about? You know? So it's the harness. It's the app that then the AI model comes into. I find that using either cloud, both this is true about cloud code or codex. The thing that makes it so different that people coming over from your chat GPT web app is that they do two things differently. they proactively look for context and they can take action better than your native chat gpt even with all its plugins and integrations over on the chat gpt side codex and cloud code can look for context proactively in the folder they have access to and they can take action those two things changes the game they were designed that way for coding applications but now it's turning out that Those two, I guess you'd call them unique features, was what we needed in order for AI to really become more agentic, for it to be able to have autonomy, to be able to do stuff for us and think without us and essentially take action.
9:47So with that in mind, I can dive into Codex a little bit. I promise if you're already paying for ChatGPT, you're going to want to do this today. Do not let the day go by without going to chatgpt.com slash Codex. Download the Mac app. Yes, if you don't have a Mac, then I think, no, I take that back. There is a Windows app. So just go to chatgpt.com slash codex, download the app, log into it with your normal chat GPT account, and you have access to it. It's like, it's already part of your subscription that you're paying for. And if you go to it and I can show you, like, it's really a simple thing.
10:18There's just two concepts you need to carry over from normal chat GPT and over to codex and you're good to go. The main concept is projects. We all know it and love it from chat GPT. in codex, you're essentially forced to work in a project. So you can have a generic project and call it like my random stuff file if you want to. But generally, we're usually, if you're using projects over in chat GPT, shoot, if you're using projects over in Claude, it's the same thing. It's essentially a dedicated folder where all those chats exist and all the context exists. You have to establish your projects and then you're good to go.
10:52And you always have chats within those projects. And that's the main one thing you have to transition that everything exists in a project. And I can share my screen here. Yeah, while you're sharing your screen, two things.
11:02Isar Meitis:One is I agree with you 100%. While I do this in the Cloud universe, I touch the regular Cloud chat maybe once every three weeks. I just don't go there. It feels so antiquated and not very capable. So very much like you, once you transition, there's no going back. The level of results you're going to get are significantly different. The other thing is for those who don't know what projects are, and Dan is going to show in a minute, but they're on the left menu. They're called projects. They exist in the regular ChatGPT. And they're an extremely powerful concept because what they are, they're a bubble of context, right?
11:38Isar Meitis:So yeah, ChatGPT has memory and it kind of remembers who you are, where you work and what's your role, but that's it. That's all it remembers. And inside a project, you can give it files. You can give it videos. You can give it HTML pages. You can give it PDFs. You can give it Excels. You can give it whatever you want to give it. and it has its own bubble of memory inside the project. Everything that happens in the project, it remembers for the project itself. And projects can be used as a project. I have a new project, which is probably what Dan is going to show us, but you can also use it for a specific client.
12:07Isar Meitis:You can always also use it if you're planning a trip. You can always like whatever is a new ball of context that you want to keep separate from other things and be able to focus on that. That's the concept behind it. And it translates very, very well into the agentic world because again, in that ball of context, the AI can go and find whatever it needs on its own and you don't have to give it to it. So what's cool about it is I used to run into this problem all the time and I figured they would fix this eventually within ChatGPT and they didn't. They ended up doing it in Codex. So I don't know about you, I love the Canvas feature within ChatGPT.
12:39I do. You know, you'd ask it to create a doc and instead of doing a normal chat window, it would create a doc called a Canvas and in the Canvas, you could edit it right there. And the frustrating part to me is I'd create all these assets in Canvas and then what did you do? you copy and paste them into Google Docs where it doesn't have access to that. But oftentimes those canvases I was making are things that I would want like to plug. I'd want it to have, that would be context for future conversations. But no, I have to go and copy and paste what's in the canvas over to Google Docs. And if I wanted that available for context, I'd have to download that as a PDF, upload it to the project as a PDF, and then it would have access and it'd be stagnant.
13:12And if I wanted to change it, I'd have to go change that Google Doc, download it, re-upload it. with codex, it fixes all of that because every canvas, or now it's just a file on your computer can be accessed later. And again, it proactively looks for that context. It will even leave little notes for itself to be like, Hey, when you're checking this folder, go check these things first, right? It leaves little clues for itself so that when you're working on the same stuff, it's almost like everything gets better all the time. All the little canvases now files on your computer are able, are available for it to access over and over and over again.
13:43It's the coolest thing. Let me show you real quick. I'm just on my computer and I'm going to open up the finder and I just put all these documents. I have all these folders, but I will create documents like this Danchez folder, right? And this is just my one project. And you can see Danchez over here. This is just my personal brand. You can see it over here. It's, I have it as a file in my documents and I have it as a file over in codex. It has all my chats underneath, just like chat GPT. It has all the conversations. Now the difference is it also has access to all the files on this folder. I've actually organized this particular project according to Tiago Forte's PARA method, which is projects, areas, resources, and archives.
14:19Very useful organization method. I recommend it for a lot of people. If you don't know how to organize a project or one of these folders for codecs, use PARA. It's a good way to start. You can even throw a bunch of stuff in there and every once in a while, proactively ask codecs, hey, can you take a look at all this stuff we've done and just kind of like find out a good system for organizing it? It'll do it itself. It can make folders, delete folders, rearrange things, write files. But again, it has access to all these different projects, whether it's my AI-driven marketer show. And see this little read me?
14:45I didn't write this. It wrote that. This is instructions for itself on what to think about and how all the things we have going on for the AI-driven marketer, right? These little MD files is kind of the key thing, the little documents it creates for itself. And MD is just markdown. And markdown is just a really simple language that AI understands well. And it's easy for humans to understand well. It's essentially a markup language. And if we were running this through like an HTML converter, it would make like a header here, a header there, a bulleted list here. But it's pretty intuitive. Like you can look at it and understand it's not code.
15:14Isar Meitis:I always tell people it's Word document that doesn't look fancy. It's just a text basically from the Word document. And it leaves all these files. The cool thing is you can do more than just MD files. You can do images. You can do videos. There's a few other advantages. And then now that you can understand like it's folders and files in here, just know that every time you talk to it, It's going to be able to proactively go and be like, huh, should I go and look through this file? I should go and look for some context locally on the drive. It can also go search the internet like the chat app can, but this one has access to all the files all the time and that changes the game.
15:45But let me share a little bit what I love about it.
15:47Isar Meitis:Just to show people the practical aspect of it, how do you connect the folder on your computer to the folder to the project inside of ChatGPT? Because that is a difference from the regular chat. Yep. So you can either have the folder at preexist on your computer and then just connect it, or it'll create a folder for you. like if I come up here to projects and I click like hover over it and I have this like new folder icon, I can click and say start from scratch in which it's going to ask me to create a folder and it's going to have me name it and tell me where it goes. Or I can use an existing folder of which I'm like just going to pick an existing folder I have either one.
16:18And then you have like, like I have on my sidebar, you can see I have a number of projects for different clients, a test project that I did for a demonstration, much like this one earlier. And I have a bunch of things going on here. Now, let me park right now is everything I've said is also true for cloud code. This is very similar to how you would be operating on cloud code. So why did I choose Codex? Codex has a few advantages other than the one I mentioned earlier, where I think it deals with ambiguity a little bit better. If you know less about code and you want to code with this, then use Codex.
16:45If you have ideas and you want to help flesh them out, Codex is going to be a better thing for you. If you just want a general tool, Codex is probably going to be a better super app for you. But other advantages is it can generate images natively, which as a marketer is something that I'm doing a lot. You could do it in Cloud Code, but really, if you want to do it in Cloud Code, you're going to have to create a separate account with OpenAI and just code a little application that every time I ask for images, it's going to have to go and use some tokens from OpenAI. It's a separate cost. But here, it's kind of connected all in with your same subscription, which is really nice.
17:15The other thing I love about Codex... Oh, I'm blanking. There's a few different things.
17:19Isar Meitis:One thing about what you said, I agree with you 100%. Images, again, as somebody who runs in the Cloud universe, I did exactly what you're saying. I have a side app that knows how to call ChatGPT and Gemini actually and create images so I can compare the two and pick from them. But it is a separate cost. It's not a high cost, but it is a cost. And you need that extra nuance that you have to do this. And the chat itself is less aware of what was the previous image and so on, which inside of ChatGPT, because it created the image, you ask it to fix something. It knows exactly what's the something that needs to be fixed.
17:47Yep. I thought of my two other reasons why I use Codex. One of them is it's better at using your computer's hidden tools. Believe it or not, either Windows or Macintosh, but particularly Macintosh, is loaded with hidden tools you don't even know exist until Codex finds them for you. Let me give you an example. A lot of people are using Codex to edit video. And no, it doesn't need Adobe Premiere. It doesn't need CapCut. There is local video editing tools that it just has that you don't even know about, but that it can use it. It's almost like code-based editing, and it can figure it out. You could literally take this whole podcast transcript and be like, one, I need you to transcribe it.
18:21Two, I need you to find the clips. Three, I'm not just talking, because you're like, okay, make clips, fine. It looks at the transcripts and just clips it on the front and the end. That's a pretty easy edit. But you can even ask it to be like, hey, of the 60 second clip, I want you to find the five seconds within that clip. That's the most exciting part. It's the peak. I want you to copy it, not delete it, copy it, move it to the front end and then let it play through normally. That's a more sophisticated edit. You're actually taking something, duplicating it and putting it on the front. It can do that without you having to open a single video file, without you having to use CapCut, Adobe Premiere, it could just do it for you and make it vertical.
18:54and do all kinds of things via the tools on your Mac. I asked it the other day. I was like, hey, I have this like 100 page PDF. I don't want to read it. I'd rather listen to it. What are my options for turning into audio? It's like, well, you have a free option. We can use your Mac's audio tool and I could use it to create all the audio files for free. And so I just did it natively. It wasn't that great of an audio transcription. So I ended up using OpenAI's audio tool to do it. But that costs a little bit of money to do. But it was great that actually it was like, oh, like let's try the free thing available on your computer.
19:24It does this stuff well because OpenAI was smart and hired a bunch of ex-Apple people in order to help design codecs to be able to actually control your computer in a really natural and efficient and effective way. So those are little Easter eggs you don't even know about until you're actually asking it to do stuff. And it's like, oh, well, we have this tool on your computer to do it. Better at Cloud Code at doing that stuff. And then lastly, this is a temporary one because this will change eventually. Right now it's just way cheaper. Claude has gotten really expensive because OpenAI has had a head start on creating a bunch of data centers and Claude got really popular in the last four months to the point where they're like dying in their compute capacity.
Read the full transcript
20:03Isar Meitis:Yeah, to be fair, they just gave everybody until sometime in July, I don't remember, like 50 % off on Claude, which means I downgraded immediately to the$100 a month from the$200 a month plan. but in general, I agree with you. And the general rumor is that OpenAI is going to make their stuff even cheaper just because they're both in like final stretch for their IPOs and they want to show that they're better than the other guys. So it might get even a bigger spread from a cost perspective. Yeah, so chat GPT is more competitive from a cost perspective. So those are the reasons why I chose Codex.
20:39I just find it's a much more intuitive tool for generally non-code work, though I am using it for code. It is very good at this. So if I can, I'd love to talk about some really interesting practical applications that I've done. Yeah.
20:52Isar Meitis:Let's dive in. So I am, in fact, this is an old project. In fact, I'd rather just talk through it, but maybe I can pull a big example of it. While you're looking, two cents about this whole agentic universe versus those of you who are still using chat. And I've done multiple episodes on Cloud Code and Cloud Cowork. But the biggest difference is that it actually works with you rather than you tell it what to do and it gives you answers and then you have to probably do the work yourself. So you brainstorm what you're trying to do. You find the right path with the AI. So the AI will suggest a path on how to do the thing you're trying to do.
21:28Isar Meitis:And then it can actually do the work and you can define which checkpoints you want as a user to review the work. So as an example, I haven't written a single proposal myself for a very long time. The AI does the research on the client. The AI takes the chat from like the transcript from the call. The AI develops the plan for the proposal. It writes the proposal and then it shows it to me to review. Once I review it, it knows how to put the bells and whistles on it, right? It knows how to add my header and footer and table of content and, you know, all these kind of things that need to be in a proposal.
22:02Isar Meitis:And it also knows, because it's an agentic world and it's connected to a lot of other tools, it knows how to put it in my CRM. It knows how to create a draft email. It knows how to put it in the relevant folder or create the relevant folder on my Google Drive. So all these things are agentic capabilities that allow the AI, again, like Dan just said, understand the concepts, understands the context, develop a plan, and then with your approval, create the actual thing that needs to be created. So let me show you the thing. I am working with a company called Trim Healthy Mama, and they are a supplement company, but they put out a lot of recipes for their supplements.
22:41It's a whole thing. So I have this whole site with recipes on it. And you can see they're like interesting recipes. They got nice photos. And I was like, you know what? What can I do here? I have about a thousand recipes on this website. And I know this image generator can do some really cool things. I'm like, I wonder if I can create a process that takes every single recipe, turns it into an infographic. You know, you've seen those infographics of maybe like a flat lay photo with all the ingredients that goes into a recipe labeled. And they're just kind of interesting little infographics. I'm like, huh?
23:16Well, I have the recipe with all the ingredients and it's all well-structured and everything. I got an interesting picture of what the color and the thing looks like. I wonder if I can make a system that will literally take all thousand of these, generate all the images, and then just re-upload them all. With ChatGPT, this was impossible. Shoot, doing this manually is a freaking nightmare. Even if you can do all the images automatically, it's still a nightmare because I have to download them. I got to check them. I have to, we're just re-uploading it times a thousand. Anything times a thousand takes a long time.
23:46Five minutes times a thousand is a very, is a long time, but I'm like, huh, I wonder if, so what I did was actually worked at step-by-step and you can see I have this like whole dialogue. I'm not going to get into the whole dialogue, but let me tell you, I'll show you little pieces of it. The first thing I did was I just took a web URL like this one. And I just, this is how I recommend approaching codecs. If you're like, huh, I know it can write code, which means it can access WordPress. So let's test this one little baby step at a time, one baby step. And all I did was take the URL and I was like, Hey, I posted in here and just gave it instructions being like, Hey, take this URL.
24:18I want you to scrape the recipe ingredients. Take a look at the image, download the image too. And I want you to turn this into an infographic of a flat lay. I described the picture that I wanted and this was the result as like, can it, can it generate the image? Yes. Look, it can generate them. This is a different one. This The photo that I got was probably from a side profile, but it did a top lay and it did a really good job of generating all the ingredients. If you can't see, it's like a top lay, every ingredient in a separate little dish as if you were expecting it from a cooking show. And everything's got like handwritten or text showing you like, oh, this one's apple cider vinegar.
24:53This is mineral salt. And it looks really clean and professional.
24:56Isar Meitis:It looks like a design company actually made this. It's got the right logo at the top. It's got the right font. It's got a little call to action. It's going to be floating around printers. Get the full recipe at trimhealthymama.com. So it has like a call to action in case the recipe gets disconnected from the URL somewhere. So this would be, this is hard to make if you were doing this manually, but with a chat GPT image generator baked into codex, this is easy. Okay, so I'm like, okay, I can make the image. Ha, I'm like, cool. Now I'm like, codex, what does it take to like pull all these recipes and create like a checklist for yourself?
25:29It's like, oh, well, it would be awesome if I could get like your index file. I give it the index file. It creates a checklist. And I'm like, cool. What would it take for you to make poll one, do it and then upload it? It's like, well, I would need access to your WordPress API. You're like, great. What do you need to do that? And you're like, and it's like, sure. You log into WordPress here, go to this page, go to your user and then generate the API key. This is what I need. Tell me what it is. And I'm like, okay, here it is. It's like, great. Yep. Accessing your WordPress. Oh, give me this one more thing.
25:55And it's like helping you troubleshoot little issues it runs into. You're like, okay, got it. It goes and it's like, wait, I'm now searching your API. guy, it looks like I have access to do this. Let me do a little test. Okay. Yeah, we can do this. Do you want to get started? You're like, absolutely do it. And I'm like, now that you have the checklist of all thousand recipes, I want you to create a project where we're going to go through this. And I just want you to do five. Okay. So it manually goes and pulls five. And I had to talk through the steps. I didn't like just say, make the process.
26:21I'm like, here's the steps you need to follow. I want you to go and check it, pull the image, do this. And when you create the image, I have very specific instructions. Make sure to re-reference the logo file, re-reference the image file, and then pull the ingredients and make sure that here's the call to action for the bottom. So I had very specific instructions on what these images to look like. So I wanted there to be uniformity across a thousand different infographics. And we created that. And of course, it didn't just have that in the chat. It created an MD file. We created a whole project folder for this.
26:49It created an MD file with the step-by-step instructions. It created a different MD file with the checklist of all the recipes. So we didn't redo the same recipe, right? And I said, great. Now walk through the checklist, do the first five. And it did it systematically. First, it would go and access the WordPress site through the index image, pull the ingredients, check the image to make sure everything was right. So I had a process for checking to make sure the logo was right and that it didn't screw up anywhere. And then it would take it and then actually upload it to WordPress and then check to make sure it got uploaded to the right WordPress recipe, right?
27:17So all that would take a long time. And then I didn't have to automate it to the point where it was like thousands and thousands. I could do a batch of a hundred at a time and spot check the hundreds. But it's a huge project that would take a very long time to do. But with Codex, it took me about probably 30 minutes to get the process and kind of like check it and set it up. And then probably another hour to walk through a batch. And the cool thing is once you're walking through a batch of 100, you can set that thing, let it go, and then come back. Let it go to sleep. Leave your laptop on. It keeps working for you.
27:47Come back in the morning. 100 are done. Now, I did let it go for 100. And somewhere along the line, it had screwed up. So 100, we're gone. It had screwed up 100 times. I'm like, okay, delete all those from the post. Go fix that all. and we're going to have to re-render these. But it's like, I didn't have to do anything. It could go and do the work of fixing all the things and you re-render it and fix the one little bug. As like, one of my favorite things about working with codecs is that every time you're like, hey, we didn't do the thing right, update the docs. This is what you need to do instead.
28:13Best, best things ever about working with these tools is that it can remember stuff. You can tell it and be like, hey, every time we run this process, make sure to add this note or you did it, you did the wrong thing again. Make sure to double check this every single time. Emphasize it. Make it important. And this is how we delegate to humans. This is why it's such a big difference.
28:33Isar Meitis:I want to touch on a few things that I think are very, very important for people to understand, both on the concepts that can be applied, not just for marketing in this case, but for everything, and also on the small little details. And I'll start with the small little details because they're connected directly to the last thing you said. Those MD files, those markdown files, are people hear about agents and skills, and they think there's something magical. It's like unicorns in the forests with spirits that make the agents work. The whole thing, the whole agent universe is these markdown files.
29:03Isar Meitis:And what a markdown is mostly an SOP, a standard operating procedure that's telling the AI how to do the thing. And if you think about it, what is the ultimate employee? The ultimate employee has a set of things they need to do, and they will follow the instructions to the T every single time. and if they get stuck, they will try to figure out a way on how to get unstuck and if they are still stuck or they think something's wrong, they will stop and go and ask questions. This is like the best employee you can define and hire. This is exactly what AI does through this agentic universe. So these MD files are just SOPs.
29:42Isar Meitis:The other thing they are, which I really like what you said as far as lessons learned, I have a skill built, which you can all build for yourself, that writes lessons learned across projects. So I have one that runs one, write lessons learned for the project, but I also have one that says, if you see anything that can be helpful for other projects, as an example, when you generate images, never do this or always do that. When you connect to N8N, always connect in this way. When you are using API keys from third party, like anything that is not very, very specific to that project, it writes to a folder that all the other tools have access to as well.
30:16Isar Meitis:And they all have to read it when they get started. And so then you get It's a learning organization, not just this skill versus that skill, this project versus that project. You're getting an organization that learns from any mistake that is made in any project that's done. The other two things from the best practices on things that you mentioned that are very, very important. One is you work with the AI to figure out the right SOP. Just build the process. Test it in a regular chat inside of Codex. Like, don't build the automation first. Just try to get one right. Then go to Codex and say, okay, awesome.
30:47Isar Meitis:The way we have it now is what I want in the end. Please now write the instructions, ignore all the stuff that didn't work, write the instructions that did work and build it into a process in an MD file that we can follow every single time. Then build another thing that Dan said, build a test loop. Now that it's there, go and verify that it's the right file. It's in the right place. It's loaded to the right folder. It follows the guidelines. Like you can build all of these things into the process itself. And then run a test. And the test is not one. The test needs to be a bunch. you can decide what a bunch is, right?
31:18Isar Meitis:Could be a five, could be 50, could be, but two or three is just not enough because two or three doesn't have edge cases. And edge cases is what's going to break your stuff. So you need to go through enough to go into situations where let's go and take an example and follow Dan's example because it's fresh in everybody's minds. Let's say that one of those folders that the AI goes to, for whatever reason, does not have the description of the ingredients, the actual original webpage. So now the AI goes and it doesn't know which ingredients to include because they're not included on the webpage. It will make it up.
31:50Isar Meitis:So now you have something that is a glass of water, but it has 16 ingredients in the image afterwards because the AI knows it has to make up ingredients. So these are the edge cases you're going to run into. And there could be technical edge cases. Okay, I can only run a batch of 50 and you tried 100 and it's going to get... Like there's many different things that could happen. And so you got to think through these edge cases. You got to test enough to figure them out and then build the right scaffolding in order to deal with them. And then you can do really, really amazing stuff. One of the things I love about the way Codex laid out its UI is that one, we have all our projects on the left.
32:24We're very used to doing that in ChatGPT. We have the chat interface in the middle. And then when you click on these MD files, they open up on the right side, which is very much how Canvas used to work. It's changed now, but like it used to open up on the right side as a doc. The only thing I don't like about it is that I can't edit it natively in this right side. That would be an improvement. But now I could just open it up. It has a little button where you can just open it up. but mine opens up in a sublime text, which is kind of a coding app, but it's fine. And I can just make changes here.
32:49And that's cool. But like, it's just little tiny things like that. I find add up over time. It's just more intuitive and easy to deal with. Have you seen, this is kind of a bonus feature of Codex. It's completely unnecessary, but I still find I like it. It's the pets file. You can wake up. Have you not seen these?
33:06Isar Meitis:No. There's these little characters you can make. And I custom made this one. This is based on a character I developed for my own show, The Edge of Remarker. If you look at the cover art, it has this character I call 404. Actually, he named himself. But these fun little things are these little characters. The cool thing about them is they stay on top of the window. So if I switch to doing something while it's doing some long work, it'll keep me updated on the work that's happening. And then as soon as it's done with something that maybe takes 20 minutes, because not everything takes overnight, right?
33:32A lot of things you're doing, it works for like 10, 15 minutes. But you go and answer some emails on Gmail, and then it's giving you updates. Because no matter what window I go to, it's kind of coming with me, right? And then you just click on and it brings back the codex thing that it was telling you updates about. It's a funny little tiny UI thing that I think is kind of fun because it's this little funny character hanging around with you. But it's called the pet and it's just a fun little nice addition they did. They didn't have to make it fun, but they did.
33:58Isar Meitis:Very cool. It just dances on the screen. One last thing is you may not, I'm doing this for a lot of knowledge work. I'm doing all the kind of stuff I used to do in ChatGPT. I now do in Claude for a lot of this work stuff. In codex. But yes, in codex. but I'm also using it to code and it's so much fun. Now, I think where this really gets fun is for marketers and other business leaders who don't code a lot is to build the little integrations you wish existed that didn't exist before. For example, it's very common for marketers to create social content in something like ChatGPT. But what happens to it?
34:31You might even put it in a canvas, but you're going to have to copy and paste it and move it over to its final destination. It's kind of a pain in the butt, right? So I use HighLevel as my kind of marketing platform. It does all the email stuff and CRM. It does a bunch of different things. But one of the tools it has in it is a social media management and scheduling tool. I was like, great. I'm like, Codex. Every time I say post this to social, I want you to do it through high level. Help me figure out how to make that happen. Of course, it's like, okay, well, we can work through the API. Here's, and we're going to have to code some code files and just make it so, and write the MD file to say like, every time you say this or make a skill for, I probably wouldn't do it as a skill because different clients would need different tie-ins.
35:11I've actually done this for myself and a couple of clients. So that when I'm working in their folders, it only accesses their high-level account. But every time I say post this to social, it works through the API because of the code it's developed. It had to build its own little, not a lot, but like a few code files in order to access the code, tap into the API, schedule it within the tool or post it immediately depending on what I specify. So now every time I see something, I'm like, great, send it or post it to LinkedIn. It just posts it. It's just done. I don't even have to do anything. I don't have to copy and paste it.
35:41Shoot, you could put that on a loop so that every time I run through a process, like maybe after I walk through a podcast, after I finished a podcast and it's got the transcript, I'm like, great, run the process. And the process includes turning into social posts, turn it into a blog post, make sure to upload it to YouTube. It's got all the files and then it just runs through the process. I don't have to tell it to do all the individual stuff. Again, all the process is written down in an MD file. So when I say run the process, it's like, oh, he means this MD file. Let me check. Okay, MD file says access high level.
36:08oh, okay, do this. Okay, oh, for the blog post, I'm gonna have to access WordPress posts. So I could just give the command and it goes and accesses the code we've already developed. So code is part of the repertoire here, but you don't have to be a developer to do it. And these are like lightweight. I'm not building an application. You don't need applications anymore. Codex is the application. It's just develop using code now to extend the functionality. So I'd like, I know there's plugins. I probably need to get into plugins sometime, but I don't really care because I can just build my own plugins.
36:35I can build my own integrations. Any tool I have that has an API is fair game now. It's the easiest way to integrate with anything and everything in the way that you want them to be done. And now you just tell Codex to do it and it can get it done for you.
36:47Isar Meitis:Yeah, amazing. Two cents on that. There are obviously benefits in connecting third-party plugins because they're plug and play and then the AI can use them. There are disadvantages in doing that. One of them is that many of them has a gazillion things you don't need. And then it just fills up your context window with a lot of instructions and a lot of pieces of code that you don't actually use. And that's one reason not to. And I'm not saying don't. I'm saying there's reasons to and to not do this. The other reason, if you are going to get plugins from third parties you don't know, then you're running the risk of these third party plugins doing things you didn't plan for them to do, such as copy your data to a third party server and use it whenever they want to use it or whatever other malicious thing that they may want to do with it, which I assume is not the case for probably 80 % of plugins and connectors in the world.
37:35Isar Meitis:but it's very hard to know one from the other. And so that's another very good reason. If you just need a simple connector again to post something, to do something. And as I mentioned, expand this beyond the marketing world. Think about your ERP system. Think about your HR platform. Think about whatever other software you're using in the company. And I'm not saying go ahead and now develop this, especially if you're in an enterprise. There needs to be guardrails and governance and things you should and shouldn't connect to and change and so on. I'm putting that aside for a second. But from having the ability to do it, It's at your fingertips.
38:07Isar Meitis:I don't write code. I've never written code, not even HTML like Dan did. I just don't know. Not CSS, not nothing. JavaScript, any of this, I don't have a clue. That doesn't matter anymore. Now, to be fair, people who know how to write code can do more faster. Yes. But people who didn't write code and don't understand code can still do incredible things and all the stuff you don't know. And Dan just mentions that before. Okay, tell me how to do this. Oh, go here, go to your calendar, go to this, go to the menu, go to this. It will have a place to create a generate an API key, generate the key. Don't give it to me.
38:40Isar Meitis:Go and place it in this folder, put it in your key chain, and then I can use it. I'm like, oh, okay, that I can do. A monkey can do that. I'll just follow the instructions. And so you can really do more or less any knowledge work you can do on a computer. Codex, cloud code, cloud co-work. Now there's, as of this week, finally, Copilot Cowork, which is basically Claude Cowork inside of Copilot. Gemini is coming up with something very similar. All of these is going to have all of these functionalities built in. And you pick the one that works better for you, that you already have access to, that you trust more.
39:14Isar Meitis:It doesn't really matter. They all can do these things, but they're all a whole different universe than just writing, chat, and going back and forth and copying stuff and moving it around on your own. And so whichever platform you choose, go and upgrade from the basic chat to the next agentic level because it will change your world and your view of what AI can do dramatically. This will be the default way we all use AI a year from now. Until the next time. I'd bet money on it. Even if they have to change ChatGPT, whatever we're all using in the future, it will be like what we're doing here with Codex right now.
39:49Just like, remember, it was only a year ago that we had ChatGPT 03, which was the reasoning model attached to internet search. Think about how much of a game changer. That was only a year ago. And now it's default. Everybody does it. It's just part of how AI generally works now. You don't even think about the old way where it couldn't check itself on the internet. That's just default. That was brand new a year ago.
40:10Isar Meitis:Yeah, crazy. Insane. Dan, this was fantastic. Great concepts and great real practical examples. If people want to follow you, work with you, learn from you. What are the best ways to do that? Best way to do that is to find me on AI Driver Marketer on any podcast platform and linkedin.com slash IEN slash digital marketing day and connect with me there. Those are my two most active platforms. Awesome. Thank you so much. This was absolutely fantastic.
40:48Thank you.
41:18Thank you.
41:49Thank you.
From the publisher
What if the biggest AI opportunity for your business isn't ChatGPT—but the tool quietly replacing it?
While much of the AI conversation has focused on Claude Code and coding assistants, a new contender is changing how business leaders think about productivity, automation, and execution.
In this episode, Dan Sanchez joins Isar Meitis to explore how OpenAI Codex has evolved far beyond software development. Together they reveal how AI agents can proactively find context, take action, automate complex workflows, and become true collaborators inside your business, not just chatbots that answer questions.
If you're looking for practical ways to scale marketing, streamline operations, and unlock new levels of efficiency without increasing headcount, this conversation offers a glimpse into what the next generation of AI-powered work looks like.
In this session, you'll discover:
- Why OpenAI Codex is gaining momentum beyond software development
- The key differences between Codex, ChatGPT, Claude Code, and Claude CoWork
- How AI agents proactively find context and execute tasks autonomously
- Why project-based AI workflows are becoming essential for modern businesses
- How Dan uses Codex for marketing, content creation, and process automation
- The power of AI-accessible folders, files, and organizational systems
- How AI can generate, manage, and improve business assets over time
- Practical examples of automating large-scale content operations
- Why business leaders should start thinking beyond prompts and toward AI-powered execution
- The future of agentic workflows and AI-assisted business operations
About Leveraging AI
- The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
- YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
- Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/
- Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!



