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Maximizing Business Efficiency: Practical Workflows Using the Top 9 AI Tools
The fast evolution of AI technologies has created a dynamic landscape for business leaders tasked with choosing the right solutions for efficiency and growth. An in-depth exploration into real-world workflows highlights how integrating specific AI agents, custom-built tools, and advanced automation can save hundreds of hours while delivering actionable business insights. Detailed below are the specific tools and approaches currently powering leading AI-driven business processes, each matched to an explicit use case for maximum impact.
AI Agents for Automated Analytics: Overnight Stats and Business Intelligence
Modern business operations often depend on synthesizing a deluge of data from disparate sources. The use of overnight, third-shift AI agents exemplifies targeted automation: custom agents schedule recurring, data-intensive tasks to run outside business hours, aggregating platform stats, generating benchmarks, and surfacing key trends by the start of the business day. For example, analytics from multiple podcast platforms or newsletter performance data are automatically extracted—using browser-based automation or direct protocol connections where available—organized into actionable briefings. This approach transforms what was an hour of manual data collection into a 30-second morning review, enabling immediate, data-informed decisions with zero clerical effort.
Streamlining Communication Workflow With AI Comms Triage
Maintaining responsiveness across multiple digital channels—several Gmail accounts, LinkedIn messages, and inbound collaboration offers—has historically soaked up valuable brand-builder time. A dedicated comms triage agent uses browser extensions and predefined context to aggregate, filter, and prioritize incoming communications from various sources, then drafts pre-populated responses based on contextual cues. This reduces inbox management from hours to focused, strategic touchpoints, ensuring that only the most important communications receive direct attention.
Centralizing Business Intelligence: Custom ChatGPT Sites for On-the-Go Insights
One standout workflow involves marrying ChatGPT’s custom site generation with mobile accessibility. AI agents update purpose-built, private web apps—ranging from dynamic CRM dashboards to running business metrics—using data collected from day-to-day operations. These lightweight apps, formatted for mobile consumption and tailored for both light and dark mode, are delivered via iMessage, putting real-time strategic dashboards literally in pocket. Full read-write database functionality inside the sites ensures up-to-date, actionable intelligence, moving beyond static reporting to living business command centers that require no ongoing maintenance.
Accelerating Ideation: AI-Powered Dictation and Content Aggregation
Manual dictation tools often bottleneck fast-paced thought capture and content creation. Building an on-device, local dictation app—one that operates independently of cloud latency—allows instant, highly accurate transcription across workflows. This solution also extends to monitoring public channels such as YouTube, where every new video from select sources is automatically transcribed and summarized overnight. The result: a daily, bullet-pointed synthesis of market chatter and competitor movements without direct time investment in media consumption.
Deep Research Automation: Multi-Source Signal Gathering for Strategic Planning
High-impact content planning and product strategy rely on tuning into active, relevant signals. An orchestrated sequence combines social listening (via bookmarked Twitter/X posts), analysis of newsletter engagement metrics, and deep dives with AI research tools—exporting all findings into a harmonized framework for episode planning or campaign ideation. This orchestrator model leverages different leading AI platforms (ChatGPT, Claude, Gemini), allowing a business to synthesize breaking trends, audience sentiment, and internal analytics into tight, actionable plans with minimal manual touch.
Upgrading Product Design: Fast, AI-Assisted Front-End Prototyping
When internal development teams require rapid prototyping or require design assets for new business tools, leveraging specialist AI design tools (e.g., Claude Design, Google Stitch, GPT Image) accelerates turnaround and ensures visual polish. These tools, used in harmony, enable everything from automated web app mockups to effortless export and deployment into internal test environments. The workflow significance lies in skipping lengthy design cycles while maintaining consistency with existing brand standards.
AI Notebooks for Scalable Knowledge Management and Training
For both ongoing business analysis and employee training, advanced AI notebooks—formerly known as Notebook LM, now Gemini Notebook—offer a platform for producing and consuming interactive reports, audio overviews, and custom slide decks sourced from live business data. Features like interactive, audio-based learning and deep-dive Q&A empower knowledge transfer at scale. These notebooks support non-linear learning, scenario analysis, and the generation of bespoke collateral (infographics, reports, presentations) for team onboarding or market research.
Automating Complex Processes: AI Skill Building and Multi-Step Task Orchestration
Beyond individual automations, building reusable AI “skills” for any recurring, multi-platform task (e.g., moving media from livestream exports to transcription services, updating website backends, generating show notes, and automating newsletter inputs) becomes a force multiplier as each discrete step is modularized. These skills can be chained into full pipelines—scheduled and operated entirely by AI—eliminating the need for repetitive manual intervention and creating scalable systems from one-off process experiments.
Enhancing Workflow Flexibility: Remote Voice Control for Mobile Productivity
A recent leap in productiveness arrives via full voice-driven computer control, available through advanced chat-based voice agents with duplex capability. Using mobile apps, any business owner can assign complex, multi-step desktop tasks—opening files, editing presentations, sending emails, moving assets between tools—entirely by voice, from any location. Unlike prior solutions, these agents operate with full project and skill context, enabling mobile completion of tasks that previously demanded in-office presence.
Conclusion: Why Strategic AI Orchestration Delivers Tangible Results
Focused deployment of specific AI tools, with an eye toward modular skills, agentic automation, and persistent context awareness, drives significant time savings and operational clarity. These approaches, rooted in concrete workflows rather than abstract potential, provide business owners and decision makers with a blueprint for immediate efficiency gains. The outlined toolsets and process designs are not just theoretical—they are actively driving multi-channel content, communications, analytics, and strategic planning in leading, tech-forward organizations.
Topics Covered in This Episode:
- Codex AI Agent Workflow Overview
- Top Nine AI Tools and Workflows
- Third Shift AI Stats Automation
- AI-Powered Communication Triage Agents
- Custom ChatGPT Sites for Workflow
- Parrot Dictation Local App Build
- Episode Planning with Gemini and Codex
- Frontend Design Using Claude, Stitch, GPT Image
- Gemini Notebook Deep Research Use
- Codex AI Skill Building and Automation
- ChatGPT Voice Remote Desktop Control
Episode Transcript
Jordan Wilson [00:00:15]:
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 gonna 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. Alright.
Jordan Wilson [00:01:18]:
Let's get into it. On today's show, here's what you're gonna learn. My nine most used AI tools and workflows. 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, obviously, codex build yet still using Claude, Gemini, and other tools. Alright. Let's get into it. Welcome to Everyday AI.
Jordan Wilson [00:01:40]:
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 livestream 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 youreverydayai.com.
Jordan Wilson [00:02:08]:
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. Alright. We'll see if this one sticks. Right? Watch. Watch later today. Obviously, it's Thursday. Big releases always come out on Thursday.
Jordan Wilson [00:02:28]:
Watch everything change today. But, I feel for honestly, for the first time in a very long time, you know, my my usage in terms of, AI tools has not completely changed, you 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, you know, AI that was mainly web based, to AI that lives on your desktop and agents that live on your desktop. I think it made the, 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.
Jordan Wilson [00:03:21]:
And, honestly, between the the models and the modes, I think there's actually a bit of parity. 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, at least recently between OpenAI and Anthropic, it's usually one a and one b, and then they flip flop. Right? But the harness itself, and this is why I think my my usage has been so consistent probably since February, has made all the difference. So before I go into my nine most used tools and workflows, a little precursor first. Speaking of the, the harness, obviously, codex pill. If you've been listening to the show at all since February, I've been saying this.
Jordan Wilson [00:04:08]:
I've called it. I said, Claude Code, it's it's gonna lose its lead. Right? Obviously, hats off to Anthropic. They really kicked off the agentic desktop era, with CloudCo desktop in December, followed up by CloudCoWork, in January, but they've just been getting smoked, and it's not even close in February. And, you 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, 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.
Jordan Wilson [00:04:52]:
You know, I currently have a Claude, 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. But the majority of my time now is really in codex. It is in a league of its own. I don't think, you know, Cursor, will catch them. Although I am glad that Cursor added, you know, some simple Google connectors, this week. I don't think Claude, will catch.
Jordan Wilson [00:05:22]:
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 the show. But for the most part, our audience is, you know, non technical business leaders who are doing, 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.
Jordan Wilson [00:05:54]:
But if you are someone that is, you know, not just a 100% writing code, codecs, like I said, in a league of its own, and I don't see it being caught anytime soon. Okay. So with that all of the way, I do want you to know that this is just based on my own workflows as well. Your usage is obviously gonna vary and keep that in mind. Right? So take that with a giant grain of salt. This isn't definitive, but I would say for the average nontechnical AI user, like I'm saying, steal for my thousands of hours over the years of using all these tools. What I'm saying, am I you know, do I have a preference? Absolutely. Am I telling you the truth? Yes.
Jordan Wilson [00:06:34]:
Alright. So just getting that out of the way. Also, another thing to keep in mind, my usage has really shifted. Right back in January, I was probably only 10% desktop. Right? Because the only big desktop player at the time was, you know, cursor, and quad code. Right? So I was using quad 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, on the desktop.
Jordan Wilson [00:07:02]:
So that's mainly codex, but also using Cloud Code, Cloud Code Work, you know, cursor, anti gravity, Gemini on the desktop. Right? For the most part, I am desktop agentic harness through and through. Right? Even for nontechnical knowledge work, that's what I'm using. But like I said, I'm really only using, you 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, codec slaps everyone else, 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, you know, doing some of my own, you know, internal benchmarks and use cases so I know what's best for different types of work.
Jordan Wilson [00:07:46]:
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 and how I work and, you know, how we kind of run things. But one thing to keep in mind is, not everyone can work like this either. 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 cloud desktop or codecs, you may not be able to do a lot of these things.
Jordan Wilson [00:08:35]:
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. Alright. 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, individually. So number one, I have my third shift stats agent. Number two, I have my third shift comms triage.
Jordan Wilson [00:09:02]:
Number three, I have my chat g p t sites to iMessage. That one's a little, specific. Number four, I have my parent dictation app that I built. Number five, I have my episode planning research. Number six, my AI app design. Number seven, Gemini notebook study, also previously known as notebook l m. So did a show on that, yesterday. Number eight, codex skill building.
Jordan Wilson [00:09:30]:
And number nine, remote chat GPT walk and talk. Alright. Let's get into it. Number one, third shift agents for stats. Alright. First, let me describe what third shift agents are. Well, they're agents that work third shift. Right? Usually, I'm up working fairly late, but let's just say my agents usually work about eleven to five.
Jordan Wilson [00:09:53]:
Right? Every single night, a lot of things are scheduled. And then I will also usually give it my toughest problem or set of problems to codex, every single night kind of before I go to bed. I'll use sub agents. I'll use goal mode. I'll use plan mode. Alright? And if you're wondering, like, what the heck is all of that stuff, we did an episode let me bring up the number. Let me bring up the number on that one. It was number come on.
Jordan Wilson [00:10:26]:
There it is. Episode eight zero six, 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 cloud code. So go listen to that one. But, essentially, my probably most used, AI is not even me. Right? I set these up. It happens third shift. My agents are working, you know, eleven to five, and then I wake up to things that are done. So let me tell you specifically what my third shift stats agents are.
Jordan Wilson [00:10:59]:
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, there's certain, you know, pieces of software or apps that you use that connect really nicely, to Chad GBT, Claude, Gemini, Copilot, etcetera, 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 Chad GBT work, which are literally the same thing, right? So I'm using just codex because it's just a little cleaner.
Jordan Wilson [00:11:46]:
And I usually use codex, but, you know, it's interchangeable. So FYI, when I'm saying codex, I also mean chat g b t work, which if you go to chat g b t and download it, that's what you're gonna get. So you can do these same things in chat g b t work, which is the desktop version of chat g b t. 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. So in my case, right, we use Buzzsprout. So that is, you know, the the the podcast, you know, thanks to you all that listen. 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.
Jordan Wilson [00:12:34]:
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 thirty 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, third shift stats agent. So it does a lot of comparisons. I have, you know, daily benchmarks. You know? So, as an example, you know, our Wednesdays, AI at Wednesdays, you know, sorry, 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, 9AM, that shows, you 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.
Jordan Wilson [00:13:26]:
It can see if that is the case. 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 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. So I have all you know, I had codecs 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. 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, you know, researching and find me more information on doing an updated show on that.
Jordan Wilson [00:14:13]:
So that's kinda my overnight agent. It also pulls information from our newsletter, 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, MCP, I can't get that. So I have to go in. It uses, for that, it uses browser control.
Jordan Wilson [00:14:39]:
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 two years ago, this is how I would start my day every day. 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, thirty seconds to overview something, which is great. One quick thing. At least in codex, it's a little different in, Cloud Code, but in codex, it's a little better. So they have a built in browser.
Jordan Wilson [00:15:07]:
There is Chrome use, and then there's also, 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, kind of the the Atlas browser was retired into, codecs, but there's a full fledged, Chromium based browser inside of codecs. So, you know, for many of these things, I do them inside of the browser in codecs, and I schedule them, and they run overnight. Other other times, you know, it might it might need to use a, as my second one here does, it might need to use Chrome because there's a Chrome extension involved. Alright. So that's my first one. But, you know, essentially, it just helps me do multiple things at once. I don't wanna go and click around.
Jordan Wilson [00:15:57]:
I don't wanna, you know, copy and paste information in the spreadsheets. I don't wanna be running formulas. Right? I just wake up to an actionable briefing instead of spending my morning assembling one. Alright. Number two, again, this is another third shift agent. This is my comms triage. This one, my gosh. This is helpful.
Jordan Wilson [00:16:16]:
Alright. And one of the reasons is is I have I don't know how or why. I have a personal Gmail. I have a Gmail account from my old company Accelerant Agency. I have a Gmail, and then I have two different Gmail accounts, for everyday AI. And for whatever reason, people find all of them. Maybe they're connected to LinkedIn. I don't know.
Jordan Wilson [00:16:42]:
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 spa sponsorships, partnerships. Most of those I don't pay attention to, you know, collaborations, whatever. So there's a lot of those and then also LinkedIn. Right? This podcast goes out on LinkedIn every single day. So people message me all the time. Sometimes I ask people to message me ideas, those kind of things. It's always me responding.
Jordan Wilson [00:17:10]:
Right? But I do have agents go in and triage these things. So my second one is the, codex 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? And usually, at least within codex, I have these things set up within projects. So in each of these projects, 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. You know, I can give kind of custom instructions, to each of these different, you know, projects. But this is good because, you know, in most, AI systems, you know, Gemini, Claude, Chatt GPT, Copilot, you can only really work with one email connected. So this one's really helpful for me.
Jordan Wilson [00:18:03]:
The way that I pull this off is I, you know, just over time, I I use the codecs, record and replay skill a lot. But, 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, and go to, you know, gmail.com, for, LinkedIn messages. Right? I don't automate anything on LinkedIn because I don't wanna get my LinkedIn banned. So I do have a, an extension in LinkedIn, called, condo, essentially. So I have, it just syncs all my, you know, LinkedIn messages. It's a little quicker to go through. The LinkedIn inbox is so slow.
Jordan Wilson [00:18:44]:
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. And then it can kinda go in, look at all my unreads, triage, find information there. So, that's my second one. So, essentially, I can wake up every single day. I know every single stat.
Jordan Wilson [00:19:09]:
Right? We put out a ton of content every day. We put so much effort into planning the shows, into how we deliver them, into the newsletter. And, you know, if I didn't have any guidance, I would just be guessing in the dark. Right. So it's great every day to have that in for my, you know, my my my third shift, agents to have, you know, here's here's what performed well, you 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. Alright.
Jordan Wilson [00:19:45]:
Next, Chad GBT sites to iMessage. Alright. This one is great. If you're not using chat GBT sites, you are missing out. Anthropic has a similar, a similar, 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, right, if you've used lovable, basically, anything you can do inside, like, lovable or Bolt or any of those, kind of vibe coding full, you know, almost like replit as well. That's what ChatGPT sites is.
Jordan Wilson [00:20:27]:
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 cloud artifacts. Right? One of those things is just better permissions so you can make things, public. You can force log in via chat g p t. You can share things with your team. Not quite as robust, inside cloud artifacts. But what I love doing in this case is I have templates and skills that I've saved, that make sites, just really easy to use on my phone.
Jordan Wilson [00:20:58]:
So there's certain, criteria both from a design perspective. I always have it build in light and dark mode. I always have it build in, a font where you can make it larger and smaller, and then I always have it build in, kind of like a bookmark thing. So, you know, all these agents, when they do report these things to me, yes, it will be in line, but oftentimes, I just have them update a preexisting 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. It's like read, write, so I can you know, I have one that's like a little, you know, basic CRM, and I can, you know, just open my phone every morning, see what's new.
Jordan Wilson [00:21:41]:
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 GPD sites that I use. And then if it's a new one, it sends it to me through iMessage, and it sends it to my phone. Right? 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, you know, say, hey.
Jordan Wilson [00:22:08]:
It's okay to text Jordan, Jordan only. It's actually one of my, agent MD, kind of instructions that go over all of my projects where it says, hey. You can open iMessage and text Jordan. No one else. Alright. So that's the other one. I love this because I just get that continually updated personal apps without having to, you know, rebuild or maintain them. Alright.
Jordan Wilson [00:22:33]:
Next one. I've never I've referenced this like once, but I've never really talked about Parrot. Okay. So this is, one that I built. And let me just tell you why I built Parrot, why I think it's better than other alternatives and how I use it. So Parrot is awesome. It's one of the first apps that I built. I use it literally every single day.
Jordan Wilson [00:22:56]:
If you ever see me, you know, do screen recordings, you know, on Wednesday shows a lot of times, you'll see a little green dot at the bottom sometimes that's pair 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, Whisperflow or Super Whisper, there's all these, you know, platforms that, you know, they're good. 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. And there's just features that just don't fit my workflow, and there's features that I want that aren't there.
Jordan Wilson [00:23:35]:
So I essentially built my own version that I think is much better. I built this with both, 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, you know, project to build and you're feeling somewhat ambitious, you you know, build a local, dictation LLM. So, yeah, you don't need Internet. You know, just tell CheggiPT exactly, you know, codex or cloud code exactly what you're trying to do.
Jordan Wilson [00:24:08]:
In this case, it, you know, finds the best text to speech, or sorry, speech to text dictation model, you know, downloads it. 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. And then I thought, like, why should I have to send all this to the cloud if I don't need to? Also, codecs has great transcription, and you can actually people don't know this. You can use it anywhere, not just in codecs, but then the same thing. It like whisper flow, you know, it's there's still a little bit of a lag. So when I'm I obviously talk a lot, and I dictate a lot.
Jordan Wilson [00:24:46]:
I don't wanna wait half second or a second for longer dictations. I need to go immediately. But then I have all these other things that I built into it. So as an example, I can type in any YouTube channel, and it's going to every single time that there's a new, video. So, you know, I can have the OpenAI, Anthropic. Right? Anything. Any big company. You know, any other, you you know, AI YouTubers out there.
Jordan Wilson [00:25:16]:
You know? I don't have time to watch anything, but if I wanna 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, thirty to forty five minutes every day on YouTube. You know, obviously, watching it, like, 2.5 x. I don't have time to do that anymore. You you know, it's it's distracting. I just don't have the time, so I'd much rather just get, you know, a a site's report.
Jordan Wilson [00:25:57]:
Here's what everyone's talking about. Here's the bullet points. Right? It's perfect. So that's, pair it's probably my most used, app that I've built myself. Alright. Next, I have my daily episode planning deep research. Alright. So this is one of the few things, if I'm being honest, that I still use Gemini for.
Jordan Wilson [00:26:17]:
But let me tell you a little bit on how this works. So, again, this is running from Kodak's because it's the only one that can handle this. But a lot of times I save, Twitter posts, on my phone, so I bookmark them. Right? So if I'm walking from here to there, you you know, whatever. At night, in the morning, you know, quick, safe things. So I save a lot of posts on Twitter. Another signal. Right? So it's all these signals that I'm looking at.
Jordan Wilson [00:26:45]:
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. 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. And then, so I essentially take those signals every single day. Codecs goes in. It opens a new browser instance. It goes to chatgbt.com.
Jordan Wilson [00:27:17]:
It goes to claw.ai. It takes all that information. Right? Not just to save posts, right, but, 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, 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. It sends it to both, ChatGPT, Deep Research, Claw Deep Research, and Gemini Deep Research, you know, to help me plan episodes.
Jordan Wilson [00:27:54]:
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 bookmark, whatever is, you know, well above the normal click through rate, inside Beehive. Go go do that in, you know, Chativity, Claw Gemini. Take all that information, and then I have another skill that helps me start bullet pointing and planning out different shows. Alright. So now let's go to number six. This is, kind of front end design for vibe coded apps. So I don't build as much as I'd like to.
Jordan Wilson [00:28:29]:
Right? If I didn't have, a daily podcast, I might build a little bit more. Right? But I still like I said, I have Parrot. I have another one I built called Planodoro. I have what I have opened on my computer here, codecs reset watcher. I have a lot of, like, just codecs 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, this is something if you spend a little bit of time on the front end, right, for even if it's a a throwaway app, right, I build intentional throwaway apps. You you know, like I said, if I have a little project, I'll build a little kanban, you know, or I'll build a little app for a project that I'm working on.
Jordan Wilson [00:29:07]:
So in those cases, it's like, well, it needs to look good, because I'm not gonna build something and have it be ugly. So in that case, 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 Claude Design. Love Claude Design. It is, I think, probably their most unique product. So I love using Claude Design, Google Stitch, and GPT Image. So using a combination of those, just to create, different front ends.
Jordan Wilson [00:29:34]:
Right? So usually, I'll have a couple pieces of inspiration, either things I've previously designed or just designs that I really, 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, and get different outputs. So claw design, doesn't do visuals, but it does great. Right? Mockups. It does great slides, etcetera. Google Stitch does great at mockups. Right? It also can use, nano bananas. It can do images.
Jordan Wilson [00:30:05]:
It can do website, everything. And then gbt image, obviously, can do that as well. 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. I actually like using Google Stitch for that because you can then export the entire code of what it builds, to, like, Google AI Studio. And then from there, you can do pretty much anything with it. So this is just what I'm building front ends, whether it's for, you know, making changes, a design system for a new app, whatever it may be.
Jordan Wilson [00:30:43]:
These are the kind of my my three ones that I use. Alright. 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, now known as Gemini notebook all the time. Almost every single day. Sometimes depending on the day, I might spend multiple hours. Right? I like even if I don't this sounds bad.
Jordan Wilson [00:31:07]:
I don't always listen, or use everything that Gemini Notebook makes me. It just depends on if I have time. But for the most part, I'll have it making me multiple assets every single day. So audio overviews, custom, you know, slide decks, things like that based on, well, anything. A lot of times it's around episode planning. I do actually put a ton of work into episode planning. Ones like this, not as much. Right? Aside from my nice, you know, GPD image codex design slides here.
Jordan Wilson [00:31:41]:
But I'm using Gemini notebook all the time. So kind of like, what I talked about earlier, how I do all these deep researches. I have codex go and take these signals, from, you know, Twitter, from our newsletter, run deep research on that kind of sentiment, analysis. And then next, I'll have a skill. So this is kind of like the combination or the continuation of that where codecs pulls all that, and it creates custom, notebooks, for me. So, yeah, custom deep dives, audio deep dives, 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.
Jordan Wilson [00:32:25]:
Right? Like, when something new comes out, it's like, you know, learning about, you know, loops and sub agents and all these other things. Right? I'm obviously, 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, who have more expertise than I do. So, I love doing this inside Gemini notebook. It's not just for me. It's not just a content generation machine. It is really interactive learning because I love my favorite one is probably the, audio overview that you can do the deep dive and then do interactive mode. That's great because you can literally click, like, the join button, and you can ask the two host questions. So that's, like, really valuable before, you know, a major interview or a project where I just need a better understanding.
Jordan Wilson [00:33:14]:
A lot of times if I'm doing a quote, unquote bigger show, right, I'll first have the, the deep dive, I guess, two hosts do it, and then I'll listen and, you know, kind of drill them. It's 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, rehearse some shows. I'd say I probably only do that, like, twice a month. You know, when it's maybe something more challenging, something a little more new, a big interview, something like that, then I'll go through and do it that way. But, yeah, that is my number eight. Number 9 or sorry.
Jordan Wilson [00:33:52]:
That was my number seven. So number eight is codex skill building. My gosh. 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, you know, as being like a heavy AI user. 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, being an AI native person or not. So as an example, right, I have a 124 skills that I've used, and I've used those skills a total of, I got these stat this is just from within codex from just one of my accounts.
Jordan Wilson [00:34:36]:
And I've used those skills 6,179 times. So I use skills obviously a lot, many times a day. You're right. And I break up these skills into multiple pieces and then create a plugin. Alright. So if you don't know what a skill is, it's just something that you repeatedly do over and over. And I want you to think of my codex use cases. Right? 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.
Jordan Wilson [00:35:09]:
Right? The way I think of it, these skills, is taking a long multi system, multi app, multi website task, in breaking it down and turning each of those steps into a skill. And then in codex, you can combine multiple of those skills and create a plug in. 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, that's what we use for our live streaming. So you can go to StreamYard, download, right, download this, and then upload it into Cast Magic. Right? So we do Cast Magic for transcriptions.
Jordan Wilson [00:35:53]:
Right? That can be one skill. Right? And then taking that and, you know, we take some of those, 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.
Jordan Wilson [00:36:29]:
So I create skills fairly fairly frequently. Right? I've used a 124 of them. I probably have a lot more that I don't use, but I've saved just in case. 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. Looks at every single thread on codex, and it's supposed to pull out and say, hey.
Jordan Wilson [00:36:58]:
These are things you're doing repeatedly or, 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 GPD five six Soul. Right? But it sometimes makes your old skills faster or, you know, maybe certain thing that works 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, trying to automate something new, 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.
Jordan Wilson [00:37:37]:
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.
Jordan Wilson [00:38:00]:
Alright? 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 save the skill. But, yeah, you should be doing that as frequently as possible. Alright. And then last but not least, my gosh. Chad GPT voice is insanely good. It is so, so good.
Jordan Wilson [00:38:32]:
This is just another reason why I am confident. Like, no one's gonna be touching codecs anytime soon. It is so far so far ahead. And if you haven't used chatty bitty voice, y'all go go and look online. All the people that are, you know, normally even Claude fans and, you know, Bash, OpenAI, Chativity, whatever, they will lit like, go go find those people. You know those people. Everyone's just starting to talk about this, like, this week. Right? It is that good.
Jordan Wilson [00:39:03]:
It is I did it show. I said this is the the next frontier of agentic work. So if you don't know what it is, right, I wish it was a little easier to get to in the app. So if you have the ChatGPT app, essentially you connect it once to the, you know, either codex or, you know, ChatGPT work desktop app. 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 Chatcha BD Live. So let me tell you what this is because you might say like, oh, doesn't quad have dispatch? Yeah. Dispatch is terrible.
Jordan Wilson [00:39:43]:
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. ChatGPT 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 Chad GPT boys came out. It's amazing.
Jordan Wilson [00:40:06]:
Thank you, OpenAI. I'm actually getting steps now. 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. Right? Because I get work done walking. Right? And, hey, in Chicago, we don't we can't walk here out. So it's it's good now that I can go out and actually, you know, get some get some vitamin d, and and 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 chat g b t voice.
Jordan Wilson [00:40:38]:
So I can literally say, you know, hey, chat g b t voice. Look at my downloads folder. There's a new PowerPoint. Can you open that PowerPoint up? And then I have a new image, inside Canva. Can you go download that and swap it out? 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, it's, what's what's the word? Why do I keep forgetting, duplex. Right? Full duplex. Right? So what that means is you can talk to it.
Jordan Wilson [00:41:10]:
You can interrupt it. It can interrupt you. We can talk in here 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.
Jordan Wilson [00:41:31]:
I'm logged in. You you know, upload it here. Change this. Tell me what's on this page. Right? I'm 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. It is amazing.
Jordan Wilson [00:41:48]:
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 chat g p t app. This is the most confusing thing. Because if you use that, kind of voice mode inside normal chat g p t, It can't access your connectors. It can't access your MCPs. Right. That's the big difference. If you use chat g p t voice mode via remote in the chat g p t app, it can't.
Jordan Wilson [00:42:13]:
You can say, hey. What are my most important emails? Okay. Reply, say this, send. Right. Like, hey. Go. You you you know, whatever. You open my my my HubSpot.
Jordan Wilson [00:42:26]:
You 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 Cheggibuty Boys as I'm starting to do. Alright.
Jordan Wilson [00:42:40]:
So that's a wrap. That's my nine. I just gave you an inside look. Yeah. I gave you a couple of hot takes there, but that's just the truth. Right? Might this all change in a couple of weeks? It could. Right? But honestly, I think, at least for me, I don't see my workflow changing anytime soon. And I think if if you've been stuck on the fence, just take take what I learned and run it through your own workflows.
Jordan Wilson [00:43:05]:
Right? Run everything side by side through, you know, Claude code and codex and cursor or, you know, through, you know, chadgpt.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. But some of them, I think you should just be trying. Right? Like, you know, try using the combination of claw design, 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.
Jordan Wilson [00:43:42]:
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, I hope this one is helpful. If you like this type of show, let me know. Maybe I'll do another one or two. But that is it inside Everyday AI in my nine most used AI tools and workflows. If this is helpful, please subscribe to the podcast, then go to youreverydayai.com.
Jordan Wilson [00:44:07]:
Sign up for the free daily newsletter. Thanks for tuning in. See you back tomorrow and everyday for more everyday AI. Thanks, y'all.