One of the most common questions I get is how I use AI every day. So on today's episode, I'm gonna tell you everything. And the answer to that question obviously has changed drastically over the years as quickly as the AI offerings themselves have changed, which is all the time. But I feel over the last few months at least, my usage has gotten consistent enough that I feel I can make this episode and not have it be obsolete in like two weeks. Because after using thousands of AI tools and modes over the years, you might be able to save yourself a few hundred hours and just copy some of my workflows and see what sticks. So on today's show, I'm going to give you a little behind the scenes on not only my nine most used AI tools and workflows, but also maybe some hot takes and trends on AI tool use in general along the way. So we're going to go inside everyday AI and go over my nine most used AI tools and workflows that power my day. All right, let's get into it. On today's show, here's what you're going to learn my nine most used AI tools and workflows. Uh, you're gonna know why I sometimes build my own AI tools, and I think you should too. And I'm gonna tell you why I'm obviously Codex pilled, yet still using Claude, Gemini, and other tools. All right, let's get into it. Welcome to Everyday AI. If you're new here, my name's Jordan and we do this every day. It's for you. It's your unedited, unscripted daily live stream podcast and free daily newsletter helping business leaders like you and me not just keep up, but get ahead. I tell you what works, what doesn't. You take that information, all those saved hours, and you grow your company and your career. So if that's what you're trying to do, sweet. Starts here. Make sure if you haven't already, please subscribe to the podcast and then go to our website at your everydayai.com. Uh, the website is also always in our show notes there. We're gonna be recapping the highlights from today's episode and giving you all the AI news and developments you need to know to stay ahead. All right, we'll see if this one sticks, right? Watch. Uh watch later today. Obviously, it's Thursday. Big releases always come out on Thursday. Watch everything change today. But um, I feel for the and honestly, for the first time in a very long time, uh, you know, my my usage in terms of uh AI tools has not completely changed, you know, in in three months, right? It's been fairly consistent. And some of those reasons is because I think there's, you know, one harness that will not be dethroned anytime soon. And kind of the move, you know, going from um, you know, AI that was mainly web-based uh to AI that lives on your desktop and agents that live on your desktop, I think it made the uh maybe the the models less important. I think it maybe made some of the modes, you know, like your deep research and your, you know, plugins and artifacts, all these things. I think it made those things a little less important. Um, and honestly, between the the models and the modes, I think there's actually a bit of parity. Um, right. Whereas maybe two years ago when a new model came out, it was such a big gap. It was like first place and second place. Now, uh at least recently, between OpenAI and Anthropic, it's usually one A and one B, and then they flip-flop, right? Um, but the harness itself, um, and this is why I think my my usage has been so consistent probably since February, um, has made all the difference. So before I go into my nine most used tools and workflows, a little precursor first. Speaking of the um the harness, I'm obviously codex pilled. If you've been listening to the show at all since February, I've been saying this. I've called it, I said Claude Code, it's it's gonna lose its lead, right? Uh, obviously, hats off to Anthropic. They really kicked off the agenc desktop era uh with Claude Code Desktop in December, followed up by Claude Cowork uh in January, but they've just been getting smoked and it's not even close in February. And you know, I always, I always will use the best overall tool no matter what, right? And you know, throughout the the years, I've had the most expensive plans to, you know, I was on the Perplexity $200 plan, you know, using their uh computer. I've I've been on the Google Ultra plan, I think when it was like $300 a month or whatever it used to be. Um, you know, I currently have a Claude uh, you know, 200 Max and an OpenAI 200 Max plan. So I've used them all, right? And I still use all of them to this day. Um, but the majority of my time now is really in codex. Um, it isn't a league of its own. I don't think um, you know, cursor uh will catch them, although I am glad that cursor added uh, you know, some simple Google connectors uh this week. I don't think Claude uh will catch. And also I want you to first think about your workflow. And the reason why I say those things is because I know our audience, you know, yes, there's obviously very technical people, there's builders who listen to this show, but for the most part, our audience is, you know, non-technical business leaders who are doing um, you know, non-technical work, right? So that's where my lens is coming through this. So, you know, if if you're just like as an example, software developer, maybe Claude Code is is best, right? Or maybe cursor is best. Um, but if you are someone that is, you know, not just 100% writing code, uh, codecs, like I said, in a league of its own. And I don't see it being caught anytime soon. Okay, so with that out of the way, I do want you to know that this is just based on my own workflows as well. Your usage is obviously going to vary and keep that in mind, right? So take that with a giant grain of salt. Uh, this isn't definitive, but I would say for the average non-technical AI user, like I'm saying, steal for my thousands of hours over the years of using all these tools. What I'm saying, sh, am I, you know, do I have a preference? Absolutely. Am I telling you the truth? Yes. All right. So just getting that out of the way. Also, another thing to keep in mind, my usage has really shifted. Uh, right, back in January, I was probably only 10% desktop, right? Because the only big desktop player at the time was uh, you know, cursor um and clawed code, right? So I was using clawed code about 10% of the time, and everything else was on the web. Obviously, today that's complete opposite. So today I'm like 90% using everything um on the desktop. So that's mainly codecs, but also using clawed code, clawed cod, uh, you know, cursor, anti-gravity, Gemini on the desktop, right? For the most part, I am desktop agenc harness through and through, right? Even for non-technical knowledge work, that's what I'm using. Um, but like I said, I'm really only using you know, Claude and Gemini desktop, anti-gravity cursor, so I understand them, right? So I have a comparison. And so when I tell you, yeah, codex slaps everyone else, that comes from facts, not just like a preference, right? So anytime there are new updates, I'm always using them, I'm always testing them. I'm, you know, doing some of my own uh, you know, internal benchmarks and use cases, so I know what's best for different types of work. Um, the the other thing to know is I am very bullish on agent control and agent co-working. And I'm gonna tell you what those things are, right? I'm I'm you know, kind of taking you behind the scenes here at everyday AI and in how I work and you know how we kind of run things. Um, but one thing to keep in mind is um not everyone can work like this either. Um, and I'm not saying that from a skills perspective because it's not difficult. I'm just saying from a data and permissions perspective, right? I am having agents literally running around the clock doing everything on my computer, full control, full YOLO mode. I know that's not for everyone, right? If you work at a big enterprise, even if you've gotten permission to use Claude Desktop or Codex, you may not be able to do a lot of these things. Um, so keep that in mind. But if you are a small business owner or if your company has taken off all restraints and you can just do whatever you want, well, let's let's have some fun. All right, here we go. I'm not gonna make you wait any longer. Here's my nine most used AI tools and workflows, and then we're gonna dive into each one individually, uh individually. So number one, I have my third shift stats agent. Uh, number two, I have my third shift comms triage. Uh, number three, I have my chat GPT sites to iMessage. Yeah, that one's a little uh specific. Number four, I have my parrot dictation app that I built. Uh number five, I have my episode planning research. Number six, my AI app design. Number seven, uh Gemini Notebook Study, also previously known as Notebook LM. So did a show on that uh yesterday. Uh, number eight, codex skill building. And number nine, remote chat GPT walk and talk. All right, let's get into it. Number one, third shift agents for stats. All right. First, let me describe what third shift agents are. Uh well, they're agents that work third shift, right? Uh, usually I'm up working fairly late, but let's just say my agents usually work about 11 to 5, right? Every single night. Uh, a lot of things are scheduled. Um, and then I will also usually give it my toughest problem or set of problems to codex um every single night, kind of before I go to bed. I'll use subagents, I'll use goal mode, I'll use plan mode. All right. And if you're wondering, like what the heck is all of that stuff, um, we did an episode. Let me bring up the number. Uh, let me bring up the number on that one. Uh, it was number, come on, there it is. Uh, episode 806, part of the start here series where we went over desktop agent lingo simplified, talking about goals, loops, plans, sub agents, and how those work in codex and clawed code. So go listen to that one. But essentially, uh, my probably most used um AI is not even me, right? I set these up. It happens third shift. My agents are working, you know, 11 to 5. Um, and then I wake up to things that are done. So let me tell you specifically what my third shift stats agents are. And again, I want you to think what just because I'm doing mine, right? Don't try to, you know, make my workflow fit your work. Instead, just see the path that I'm taking and apply it to yours. Okay, so essentially, inside, well, even on the web, but also on the desktop, uh, there's certain, you know, pieces of software or apps that you use that connect really nicely to ChatGPT, uh, Claude, Gemini, uh, Copilot, etc. And then there's some that don't. So for me, for everything that doesn't, right, it needs either computer use, browser use, or Chrome. Okay, so actually in Codecs and Chat GPT Work, which are literally the same thing, right? So I'm using just Codecs because it's just a little cleaner. Um, and I usually use Codecs, but you know, it's interchangeable. So FYI, when I'm saying Codex, I also mean ChatGPT Work, which if you go to ChatGPT and download it, that's what you're gonna get. So you can do these same things in ChatGPT Work, which is the desktop version of Chat GPT, uh, right. But there's three different ways that these agents can use your computer in instances where there's not a direct connection or where there's not an MCP or model context protocol server. Um, so in my case, right, we use Buzz Sprout. So that is, you know, the the the podcast, you know, thanks to you all that listen. Um, it's you know downloaded millions of times. And essentially, I didn't see this going in when I started the podcast because I'm like, no one's gonna listen. And apparently millions of people every year do. Um, and so there's just some stats that I really need that just aren't readily available by clicking export or by me going in and pulling up a couple screens on a couple monitors. Like I have to do usually about 30 or so minutes of work every single day, just pulling these metrics in, exporting certain things, and it is time consuming and I don't like doing it. So this is my uh third shift stats agent. So it does uh a lot of comparisons. Um, I have you know daily benchmarks, you know. So um, as an example, uh, you know, our Wednesdays, AI at Wednesdays, uh, you know, sorry, uh AI at work Wednesdays or working Wednesdays, you know, as we call them, right? I know that every single day, you know, Thursday at you know 9 a.m., that shows, you know, should have, like as an example, 11,500 downloads or something like that, right? So I know every day that it can go in there, it can see if that is the case. Uh it can go look at the last one from last Wednesday. Is it still getting a certain number? So I have all these kind of formulas that show me not only how popular a show is, but how does it do uh in its normal time slot or in its normal day slot versus others, right? For Tuesday and Thursday shows that maybe I don't have recurring shows on. Um, so I have all, you know, I had Codex make all these kind of formulas and it goes in, it pulls all these stats, you know, goes look at day day-by-day stats, which I can't export, uh, show me which, you know, shows are from two or three weeks ago are still maybe trending and you know, getting two or three X, what they should be getting at that point. So then I know that there's some evergreen appetite in that. And automatically I have a skill that if that happens, Codecs is gonna go start uh, you know, researching and find me more information on doing an updated show on that. So that's kind of my overnight agent. It also pulls information from our newsletter, uh, which we use Beehive. So there is a model context protocol server for that. But even with that, there are some things that I can't get in there. As an example, we run an A-B test on our newsletter every single day. In the M in the uh MCP, I can't get that. So I have to go in. It uses um uh for that, it uses browser control, uh, it goes in, clicks, and finds all those things. So I have so many of these tasks that I used to do like right two years ago. This is how I would start my day every day. Uh, you know, and if if I was very focused, I could get it done in, you know, maybe like an hour. Now it's you know, 30 seconds to overview something, which is great. One quick thing. Um, at least in codex, it's a little different in uh Cloud Code, but in Codex, it's a little better. So they have a built-in browser. Um, there is Chrome use, and then there's also um a Chrome extension, and those two obviously work hand in hand, and then computer use. So, you know, the browser, there's actually a file in uh kind of the Atlas browser was retired into uh Codex, but there's a full-fledged uh Chromium-based browser inside of Codex. So um, you know, for many of these things, I do them inside of the browser in Codex and I schedule them and they run overnight. Other other times, you know, it might it might need to use a um, as my second one here does, it might need to use Chrome because there's a Chrome extension involved. All right, so that's my first one. Um, but you know, essentially it just helps me do multiple things at once. I don't want to go and click around. I don't want to, you know, copy and paste information into spreadsheets. I don't want to be running formulas, right? I just wake up to an actionable briefing instead of spending my morning assembling one. All right. Number two, uh again, this is another third shift agent. This is my comms triage. This one, my gosh, this is helpful. All right. And one of the reasons is is I have, I don't know how or why. Um, I have a personal Gmail. Um, I have a Gmail account from my old company Accelerant Agency. I have a Gmail, and then I have two different Gmail accounts um for everyday AI. And for whatever reason, people find all of them. Maybe they're connected to LinkedIn. I don't know. I get spammed all the time, right? We get, I don't know, more than a thousand people each and every year, you know, pitching to be a guest on the show, people reaching out about spot uh sponsorships, partnerships, most of those I don't pay attention to, uh, you know, collaborations, whatever. Uh, so there's a lot of those, and then also LinkedIn, right? Um, this podcast goes out on LinkedIn every single day. Uh, so people message me all the time. Sometimes I ask people to message me ideas, those kind of things. Um, it's always me responding, right? But I do have agents go in and triage these things. So my second one is the uh codecs triaging all of those things and telling me what's important, what I need to get to, and then also giving me draft responses so I don't just have to sit at a blank stare email, right? Um, and usually, at least within codecs, I have these things set up within projects. So in each of these projects, um, you know, there's a markdown file that I can change very easily, update very easily, that give a set of directions to these things. So it can work with all my context. Uh, you know, I can give kind of custom instructions uh to each of these different uh, you know, projects. Uh, but this is good because, you know, in most um AI systems, you know, Gemini Claude, ChatGPT, um, Copilot, you can only really work with one email connected. Um, so this one's really helpful for me. The way that I pull this off is I, you know, just over time, I use the codex uh record and replay skill a lot. But um, even this one, it's it doesn't always work. So I've had to really refine it over the years. But essentially I have it launch Chrome profiles um and go to you know gmail.com uh for uh LinkedIn messages, right? I don't automate anything on LinkedIn because I don't want to get my LinkedIn banned. Uh so I do have a uh an extension in LinkedIn uh called um condo, essentially. So I have um it just syncs all my you know LinkedIn messages. It's a little quicker to go through. Uh the LinkedIn inbox is so slow. Um, so essentially I have a skill go in, it opens up a certain Chrome profile, it goes to LinkedIn.com, clicks on messages, that opens up a dedicated tab that has that Chrome extension that I need, which is why I do it through Chrome and not through the built-in browser. Uh, and then it can kind of go in, look at all my unreads, triage, find information there. So uh that's my second one. So essentially I can wake up every single day, I know every single stat, right? We put out a ton of content every day. We put so much effort into planning the shows, into how we deliver them, um, into the newsletter. And, you know, if I didn't have any guidance, I would just be guessing in the dark. Um, right. So it's great every day to have that in for my uh, you know, my my my third shift uh agents to have, you know, here's here's what performed well, um, you know, above average, below average. And then from a comms perspective, I don't have to go in and check, you know, four different emails and go into LinkedIn. It's all just there for me. All right. Next, uh ChatGPT sites to iMessage. All right. This one is great. Um, if you're not using Chat GPT sites, you are missing out. Um, Entropic has a similar um a similar uh kind of option called artifacts, and there's live artifacts. I think there's great use cases for live artifacts. The reason why I still prefer sites is it's a full, like lovable uh right, if you've used lovable, basically anything you can do inside like lovable or bolt or any of those uh kind of vibe coding, full, you know, almost like replit as well. That's what ChatGPT sites is. I still think it is criminally underrated. It is so good. So there's so many things that you can do inside ChatGPT sites that you can't do in Claude Artifacts, right? One of those things is just better permissions. So you can make things uh public, you can force login via ChatGPT, you can share things with your team. Uh not quite as robust um inside Claude Artifacts. Um, but what I love doing in this case is I have templates and skills that I've saved that make sites uh just really easy to use on my phone. So there's certain uh criteria, both from a design perspective. I always have it built in light and dark mode. Uh, I always have it build in uh a font where you can make it larger and smaller, and then I always have it built in uh kind of like a bookmark thing. So, you know, all these agents, when they do report these things to me, um, yes, it will be in line, but and oftentimes I just have them update a pre-existing site. And then what I do is I save those sites to my phone. So it's almost like I have agents updating these apps. The great thing about ChatGPT sites is it has databases. Um, it's like read write. So I can, you know, I have one that's like a little uh, you know, basic CRM, and I can, you know, just open my phone every morning, see what's new. I didn't do anything. It's just like literally I have agents, you know, grabbing all this information, running it through my personal context, updating the quote unquote apps or chat GPT sites that I use. Um, and then if it's a new one, it sends it to me through iMessage and it sends it to my phone, right? Uh, which is great. Yeah, people don't know. It's like that's a you know, it's actually a decent way, right? I just tell it to go check text messages from Jordan and I give it, you know, explicit, uh, you know, say, hey, it's okay to text Jordan, Jordan only. Um, it's actually one of my uh agent MD um. Uh, kind of instructions that go over all of my projects where it says, Hey, you can open iMessage and text Jordan, no one else. All right, so that's the other one. Uh, I love this because I just get that continually updated personal apps without having to, you know, rebuild or maintain them. All right. Uh, next one. I've never I've referenced this like once, but I've never really talked about Parrot. Okay, so this is uh one that I built. And let me just tell you why I built Parrot, um, why I think it's better than other alternatives and how I use it. Um, so Parrot is awesome. It's one of the first apps that I built. I use it literally every single day. Um, if you ever see me, you know, do screen recordings uh, you know, on Wednesday shows, a lot of times, you'll see a little green dot at the bottom. Sometimes that's parrot that's open. I usually try to like turn it off before I start in case I accidentally hit my dictation key, but a lot of times you'll see it on there. So if you've used something like um Whisperflow or Super Whisper, there's all these you know platforms that you know they're good. Uh, but the cloud-based ones for me are just too slow, right? Even Whisperflow, I'd say, is the leader out there. It's too slow, it's not always accurate. Um, and there's just features that just don't fit my workflow. And there's features that I want that aren't there. So I essentially built my own version that I think is much better. Um, I built this with both uh Claude and with Codex. And it's essentially it runs locally. So there's nothing in the cloud, it's stored locally on my computer, and that makes it much faster, right? I encourage everyone if you want a fun little uh you know project to build and you're feeling somewhat ambitious, uh, you know, build a local uh dictation LLM. So yeah, you don't need internet. Um, you know, just tell ChatGPT exactly, or you know, codex or cloud code exactly what you're trying to do. Um, in this case, it, you know, finds the best text-to-speech uh or sorry, speech to text dictation model, you know, downloads it. Um, but yeah, like for me, why I use this. Well, number one, it's faster, there's no lag. So I do like whisper flow, but there's a lag. Um, and then I thought, like, why should I have to send all this to the cloud if I don't need to? Uh also codex has great transcription and you can actually, people don't know this, you can use it anywhere, not just in codex, but then the same thing. It like Whisperflow, you know, it's there's still a little bit of a lag. So when I'm I obviously talk a lot um and I dictate a lot, I don't want to wait a half second or a second for longer dictations. I need to go immediately. Um, but then I have all these other things that I built into it. So, as an example, um, I can type in any YouTube channel um and it's going to every single time that there's a new uh video, so you know, I can have the open AI, anthropic, right? Anything, any big company, you know, any other um, you know, AI YouTubers out there, you know, I don't have time to watch anything, but if I want to know what people are talking about, it is literally every single video that comes out, it's gonna automatically transcribe as long as I have the program open. And then I have a scheduled skill inside Codex that goes and it looks at all those transcriptions every single day and it just gives me a little brief. Here's what everyone on YouTube is talking about, right? I used to like three years ago, especially when I was getting started. I probably spent like 30 to 45 minutes every day on YouTube. Uh, you know, obviously watching at like 2.5x. I don't have time to do that anymore. Um, you know, it's it's distracting. I just don't have the time. So I'd much rather just get, you know, a sites report. Here's what everyone's talking about. Here's the bullet points, right? It's perfect. So that's uh parrot. It's probably my most used uh app that I built myself. All right. Uh next I have my daily episode planning deep research. All right. So this is one of the few things, if I'm being honest, that I still use Gemini for. Uh, but let me tell you a little bit on how this works. So again, this is running from Codecs because it's the only one that can handle this. Uh, but a lot of times I save uh Twitter posts uh on my phone, so I bookmark them, right? So if I'm walking from here to there, uh, you know, um whatever, at night, in the morning, you know, quick save things. Um, so I save a lot of posts on Twitter. Uh another signal, right? So it's all these signals that I'm looking at, right? Like, what are people talking about? What's breaking? What's trending? Similarly, the same thing on Beehive. So that is our email newsletter. Uh, so again, I know, like on our AI news section, if I put something in, you know, spot three, it should get this many clicks. If it gets above or below, I know that story either people don't care about or they care about it a lot. Um, and then um, so I essentially take those signals every single day. Um, Codex goes in, it opens a new browser instance, it goes to chatgbt.com, it goes to claw.ai, it takes all that information, right? Not just the save posts, um, right, but um, you know, replies. I have it kind of do a sentiment analysis on anything that I save. And then I have it take all of that information. Codex is the kind of uh the agent orchestrator, not me. Isn't that weird? I thought it'd be humans, the ones that were orchestrating agents, but for me, it's actually codex that's orchestrating agents more than I do. So it takes all of that information, um, it sends it to both uh ChatGPT, uh Deep Research, Claw Deep Research, and Gemini Deep Research, um, you know, to help me plan episodes. So essentially I say, you know, go find me, you know, five episodes, you know, go find all the information, you know, you choose whatever I bookmarked, whatever is, you know, well above the normal click-through rate um inside Beehive. Go, go do that in uh, you know, ChatGPT Claude Gemini. Uh, take all that information. And then I have another skill that helps me start bullet pointing and planning out different shows. All right. So now let's go to number six. This is uh kind of front-end design for vibe-coded apps. So I don't build as much as I'd like to, right? If I didn't have uh a daily podcast, I might build a little bit more, right? But I still, like I said, I have Parrot, uh, I have another one I built called Planadoro. Uh, I have what do I have open on my computer here? Codecs reset watcher. I have a lot of like just codex tools that I built that help me use codecs a little better, right? But I have all these things, but I don't want them to be ugly. So uh this is something if you spend a little bit of time on the front end, right? For even if it's a throwaway app, right? I build intentional throwaway apps. Um, you know, like I said, if I have a little project, I'll build a little Kanban, uh, you know, or I'll build a little app for a project that I'm working on. Um, so in those cases, it's like, well, it needs to look good uh because I'm not gonna build something and have it be ugly. So in that case, uh kind of three tools. This is just kind of like a three in one here, because I use them sometimes interchangeably, sometimes together. So that's clawed design. Uh love clawed design. It is, I think, probably their most unique product. Um, so I love using claw design, Google Stitch, and GPT image. So using a combination of those uh just to create uh different front ends, right? So usually I'll have a couple pieces of inspiration, either things I've previously designed or just designs that I really uh think are good, and I'll put them into, you know, claw design, Google Stitch or GPT image. I'll dictate what I'm trying to do, what I'm trying to build, um, and get different outputs. So claw design uh doesn't do visuals, but it does great, right? Mockups, it does great slides, etc. Uh Google Stitch does great at mock-ups, right? It also can use uh nano banana, so it can do images, uh, it can do website everything. And then GBT image um obviously can do that as well. Uh the thing I like really probably a little bit more Google Stitch than Claude. So, Claude, you can like export things to Claude code. It doesn't really work because in most instances it just sends HTML, which is not the best. Um, I actually like using Google Stitch for that because you can then export the entire code of what it builds uh to like Google AI Studio. Um, and then from there you can do pretty much anything with it. So this is just when I'm building front ends, whether it's for you know making changes, uh a design system for a new app, um, whatever it may be. Uh, these are the kind of my my three ones that I use. All right. Uh next, this is number seven, Gemini Notebook study. You all know I just did a show yesterday. I use what was formerly known as Notebook LM, uh now known as Gemini Notebook all the time. Almost every single day. Sometimes, depending on the day, I might spend multiple hours. Um, right. I like, even if I don't, this sounds bad. I don't always listen um or use everything that Gemini Notebook makes me. It just depends on if I have time. But for the most part, um, I'll have it making me multiple assets every single day. Um, so audio overviews, uh, custom, you know, slide decks, things like that based on well, anything. A lot of times it's around episode planning. Uh, I do actually put a ton of work into episode planning. Uh, ones like this, not as much, right? Uh, aside from my nice uh, you know, GPD image codex design slides here. Um, but I'm using Gemini Notebook all the time. Uh so kind of like um what I talked about earlier, how I do all these deep researches. Um, I have Codex go and take these signals uh from you know Twitter, from our newsletter, uh, run deep research on that kind of sentiment uh analysis. Um and then next I'll have a skill. So this is kind of like the combination or the continuation of that, where Codex pulls all that and it creates custom uh notebooks um for me. So yeah, um custom deep dives, audio deep dives, um uh reports, I mean infographics, especially if it's like I'm learning a new subject, right? Some sometimes I'm learning at the same rate as everyone else, right? Like when something new comes out, it's like you know, learning about you know, loops and subagents and all these other things, right? I'm obviously uh um experiencing them firsthand, but I'm also trying to learn about them as fast as possible, as you know, from from people who are, you know, more they uh who have more expertise than I do. So uh I love doing this inside Gemini Notebook. Um, it's not just for me, it's not just a content generation machine. Um, it is really interactive learning because I love my favorite one, is probably the uh audio overview that you can do the deep dive and then do interactive mode. Uh that's great because you can literally click like the join button and you can ask the two hosts questions. Um, so that's like really valuable before you know a major interview or a project where I just need a better understanding. Um, a lot of times if I'm doing a quote unquote bigger show, right, I'll first have the um the deep dive. Uh I guess two hosts do it. And then I'll listen and, you know, kind of drill them, like, hey, well, why'd you say this that way? Isn't this a better way to phrase that or frame that? And they might say yes and they might say no. So it's almost like sometimes I go through and I uh rehearse some shows. Um, I'd say I probably only do that like twice a month. Um, you know, when it's maybe something more challenging, something a little more new, a big interview, something like that. Um, then I'll go through and do it that way. But yeah, that is my number eight. Uh number nine, or sorry, that was my number seven. So number eight is codex skill building. My gosh. Um, I'm big on skills. I think, you know, probably a year ago, or you know, even like December-ish, everyone was talking about lines of code, right? Or tokens, um, you know, as being like a heavy AI user. Um, I don't think that's a good metric, right? I think the number of times that you use a skill really shows if you're uh being an AI native person or not. So as an example, right? Um, I have 124 skills that I've used. Um, and I've used those skills, a total of uh I got these stats. This is just from within codex from just one of my accounts. Um, and I've used those skills 6,179 times. So I use skills obviously a lot, many times a day. Uh, you're right. And I break up these skills into multiple pieces and then create a plugin. All right. So if you don't know what a skill is, uh, it's just something that you repeatedly do over and over. And I want you to think of my codex use cases, right? Um, because I think a lot of people think of skills and they think of either just writing content a certain way, or they think of coding something, or they think of a design system that is in a skill, which is fine, right? The way I think of it, these skills um is taking a long multi-system, multi-app, multi-website task um, and breaking it down and turning each of those steps into a skill. Um, and then in codex, you can combine multiple of those skills and create a plugin, right? That's what I do for a lot of things that I run and then I schedule those things. Right. So let's say you go to, you know, heck, I'll give you one of mine, right? So you can go to StreamYard. That's what we um it's what we use for our live streaming. So you can go to StreamYard, download, uh, right, download this uh and then upload it into cast magic, right? So we do cast magic for transcriptions, right? That can be one skill, right? And then taking that, and you know, we take some of those um pieces from cast magic, you know, like bullet points of the show highlights, transcriptions, right? Then I can take that, copy and paste it into the back end of our website. That's another skill, right? So all these things that you do in succession, break them down into little pieces and save them as a skill. You can either do it after you do something, right? That's a huge, like essentially, whenever I do something quote unquote by hand, that's not a skill. I ask myself, am I gonna do this again? And chances are there's a decent chance that I might. So I create skills fairly, fairly frequently, right? Um, I've used 124 of them. Uh, I probably have a lot more that I don't use, but I've saved just in case. Um, you know, I actually have a skill that runs every single day that creates new skills. So I have a skill that goes through, it looks at all of my threads on codex. Again, something that Claude can't do. Um, looks at every single thread on Codex, and it's supposed to pull out and say, hey, these are things you're doing repeatedly, or um, this right here, you should turn into a skill, right? You went back and forth six or seven times. A lot of times, right, especially with this new technology, computer use was greatly improved with the new GPT-56 soul, right? But it sometimes makes your old skills faster, or you know, maybe certain things that worked a little better before works a little differently now. So, you know, it it's it's gonna, you know, when I'm doing new new projects or um trying to automate something new, um, a lot of times I have to go through a lot of back and forth. And that's whether it's you know, Claude, cursor, codex, anti-gravity gemini doesn't matter. That's just how it goes, right? But after you do that, that is your IP, right? That is your knowledge. And and the great thing about large language models now is well, just repeat it, right? That's the thing. People always think, like, okay, well, I'm just gonna do this every day and I'm just gonna use these models, and okay, and I'm gonna go and manually push the buttons. You gotta stop being a button pusher, all right? Go and push the buttons once, and then just have whether you're using Claude, Gemini Codecs, just say, hey, turn this into a skill, right? And it will, and it'll say the skill. Um, but yeah, you should be doing that as frequently as possible. All right, and then last but not least, uh, my gosh, um Chad GPT voice is insanely good. It is so so good. This is just another reason why I am confident like no one's gonna be touching the codex anytime soon. Um, it is so far, so far ahead. And if you haven't used Chat GPT voice, y'all, go go and look online. All the people that are, you know, normally even Claude fans and you know, bash, open AI, chat GPT, whatever, they will literally like go go find those people. You know those people. Uh everyone's just starting to talk about this like this week, right? Uh it is that good. It is. I did a show, I said this is the the next frontier of agentic work. Uh so if you don't know what it is, right? Uh I wish it was a little easier to get to in the app. So if you have the ChatGPT app, um, essentially you connect it once to the you know, either codecs or you know, ChatGPT work desktop app. Uh from there, on your ChatGPT mobile app, you open ChatGPT on the side panel, you click remote. Then there's a little button at the bottom, a little blue button. That's ChatGPT Live. So let me tell you what this is because you might say, like, oh, doesn't Quad have dispatch? Yeah, dispatch is terrible. Uh, it doesn't know any of your other threads, it only can work on one thread, and it can't really do anything, right? Aside from you can kind of chat back and forth. Uh, Chat GPT voice in remote, literally, you can control your entire computer. Anything, right? So I can be on my phone and I just did this this morning, right? I've been taking more walks recently since Chat GPT voice came out. It's amazing. Thank you, OpenAI. I'm actually getting steps now. Uh, right. Some days I'm like looking at my watch and I'm like, oh, I got like 800 steps today, right? Now it's like I got 13,000 today, uh, right, because I get work done walking, right? And hey, in Chicago, we don't we can't walk year out. So it's it's good now that I can go out and actually, you know, get some get some vitamin D, um, and in instead of sitting under the the fluorescent lights all day. But essentially, anything that you can do yourself on your computer, you can do it in ChatGPT voice. So I can literally say, you know, hey ChatGPT voice, uh look in my downloads folder. There's a new PowerPoint. Can you open that PowerPoint up? Um, and then I have a new image um inside Canva. Can you go download that and swap it out? Uh actually tell me what's on page three. What what's that image? Right. And it's gonna tell you, it's gonna literally, it's it's um, it's uh what's what's the word? Why do I keep forgetting? Uh duplex, right? Full duplex, right? So what that means is you can talk to it, you can interrupt it, it can interrupt you, it can talk and hear at the same time. But as it's talking to you, it has another model that works in the background. So, I mean, literally, I'm just just dictating, giving all these long, hard assignments, right? Hey, go go into go use this skill, right? Go go download this from this website. I'm logged in, uh, you know, upload it here, change this, tell me what's on this page, right? I am literally like like I'm on vacation and I have an intern sitting in front of my computer. That's literally what I'm doing, right? And that is what you can do. Um, it is amazing. And the great thing is it's different, which I know is confusing. It's a little different than the GPT live mode in the ChatGPT app. This is the most confusing thing because if you use that uh kind of voice mode inside normal ChatGPT, it can't access your connectors, it can't access your MCPs. Uh, right, that's the big difference. Uh, if you use Chat GPT voice mode via remote in the Chat GPT app, it can't. You can say, Hey, what are my most important emails? Okay, reply, say this, send. Uh, right. Like, hey, go, yeah, you know, whatever. You open my my my hub spot. Uh, you know, what leads have moved? Okay, right. Okay, go update this and then Slack, you know, my teammates, send them this. And it just does it all. You can literally do all your work in Chad GPT voice, as I'm starting to do. All right, so that's a wrap. That's my nine. I just gave you an inside look. Uh, yeah, I gave you a couple of hot takes there, but that's just the truth, right? Um, might this all change in a couple of weeks? It could, right? But honestly, I think um, at least for me, I don't see my workflow changing anytime soon. Um, and I think if if you've been stuck on the fence, um, just take take what I learned and run it through your own workflows, right? Run everything side by side through, you know, clawed code and codex and cursor, or you know, through you know, chat gpt.com, claw.ai, and gemini.google.com, right? Do it for yourself. But I want you to take maybe my workflows, these nine that I shared with you as a starting point. Some are more habits, right? Like turning things into skills. Uh, but some of them I think you should just be trying, right? Like, you know, try using the combination of claw design, um, you know, Google Stitch and GPT image. If you are trying to vibe code something, if you're trying to build a little app for yourself, your team, your company, right? Start there versus, you know, building it all and then saying, like, hey, this is ugly. Let's change some things. You're gonna save yourself so much time. So uh I hope this one is helpful. If you like this type of show, let me know. Maybe I'll do another one or two. Uh, but that is it inside everyday AI and my nine most used AI tools and workflows. If this is helpful, please subscribe to the podcast, then go to your evereverydayai.com, sign up for the free daily newsletter. Thanks for tuning in. See you back tomorrow and every day for more everyday AI. Thanks, y'all.