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Automating Time-Consuming Workflows: Codex Record and Replay Explained
Today’s AI tools are moving beyond chatbots, and the most recent developments promise to bring new levels of efficiency to businesses tied down by repetitive digital tasks. The new record and replay feature in Codex—OpenAI’s desktop agent—now makes it possible to “teach” an AI assistant by simply demonstrating a workflow, dramatically simplifying the creation of reliable, autonomous digital processes. For business owners, operational leaders, and decision makers, understanding both the technical nuance and practical application of this feature will be critical in the coming months.
Workflow Automation With AI Agents: Demonstration Over Prompts
Modern AI systems have previously relied on prompt engineering, requiring users to carefully craft written instructions. The discussion highlighted a shift: demonstration now outperforms prompting. By recording on-screen actions, Codex builds an editable skill file (.md), removing the need for extensive prompt tuning. This new approach enables users to focus on showing the AI exactly how to perform context-heavy, multi-step tasks across different digital platforms—without manual coding or scripting.
Codex Record and Replay: Desktop Integration and Security
Codex operates as a desktop application for both Mac and Windows, though advanced features like record and replay are currently Mac-first. Installation leverages existing ChatGPT subscriptions, integrating seamlessly for those already invested in these ecosystems. Upon activation, the record and replay plugin requires deeper system permissions: it reads and writes across the entire computer, echoing similar requirements found in other enterprise-grade desktop AI assistants. Leaders should ensure IT permissions and security evaluations are in place, especially before rolling out in sensitive environments or highly regulated industries (06:31).
Business Value: Turning Repeatable Processes Into Reusable Assets
The core breakthrough is the creation of reusable, editable skill files (.md) from demonstrated workflows. For example, a manual process—such as consolidating the top-performing newsletter stories from various external sources, filtering out owned content, and generating a daily debate-style audio overview—can be captured once and scheduled to run automatically every day. This allows for mundane processes, including login-authenticated actions and cross-platform copy-paste sequences, to be performed without ongoing human intervention (10:03).
Unlike workflows reliant on static scripts or one-size-fits-all automations, these skill files are not locked into a single platform. The output is portable, making it possible to transfer skills between Codex and Claude desktop agents with minimal adjustments. The file remains fully editable, ensuring that updates and refinements can be made as business processes evolve (19:56).
Multi-Platform Flexibility and Shared Skill Formats
A significant advantage is the shared format of these skill files. Codex skills can be imported into other environments, such as Claude desktop, by updating application callouts within the file. This interoperability makes the investment in building complex workflows more resilient to shifts in enterprise software choices. It also allows businesses to experiment with different agent harnesses or desktop environments without losing the value of previously developed automations (20:16).
Security and Scope: Responsible Enterprise Rollout
The power of desktop-level automation comes with increased risk, particularly when granting agents access to sensitive data or credentials. The feature’s current limitations—being Mac-only and unavailable in certain regions (EU, UK, Switzerland)—create natural boundaries for rollout. As recommended, leaders should begin with low-stakes internal processes, eschewing confidential or mission-critical workflows until reliability and security thresholds are met. Each recorded workflow should be audited line by line before being scheduled or shared (22:01).
Measurement and Adoption: Skills as a Metric of AI Impact
Traditional benchmarks for AI adoption, such as token usage or API call counts, are being eclipsed by a new focus on skill executions and scheduled automations. In practice, value will be measured not by user interaction volume, but by how many manual tasks have been reliably delegated to AI agents through custom skills. Over time, organizations that catalog, validate, and refine a diverse library of skills will recoup the largest time and efficiency gains (25:02).
Practical Steps: Implementing Codex Record and Replay
Successful integration begins with identifying time-consuming workflows where context-carrying between systems, frequent copy-paste, and multiple logins present bottlenecks. Once workflows are identified, users record their actions using Codex, validate the resulting skill file, tweak as necessary, and schedule for routine execution. This approach minimizes technical barriers; no coding or scripting is required to build value-driving automations.
Businesses with overlapping platforms (such as both Codex and Claude) can further extend their automation reach by leveraging the shared skill file format, driving long-term flexibility and protecting automation investments against platform obsolescence (20:24).
Conclusion: Immediate Gains, Long-Term Opportunity
This feature set offers a specific, practical way to extract business value from AI in the present moment. By embracing demonstration-based AI training, organizations unlock precise, repeatable delegation of digital tasks, freeing up personnel for higher-order work and enabling rapid adaptation as needs evolve. As workflows grow in complexity, an enterprise that leverages these editable, portable skill files will find itself with a scalable blueprint for autonomous process execution—one that neither locks the business into a single vendor nor leaves it scrambling in the face of change.
Topics Covered in This Episode:
- Codex Record and Replay Feature Overview
- Transition from Prompting to Demonstration
- Skill Markdown Files as Business Artifacts
- Codex vs Claude Desktop Agent Comparison
- Workflow Recording and Security Best Practices
- Step-by-Step Codex Record and Replay Demo
- Video Understanding Capability in Codex
- Editing and Sharing Skills Across Platforms
- Automating Multi-App, Cross-System Workflows
- Validation, Scheduling, and Automation of Skills
Episode Transcript
Jordan Wilson [00:00:16]:
As smart as today's AI systems are, do you ever wish that they would just watch you do all your work and then magically do it all for you? Well, that's what we have now with a new feature from open AI and codex called record and replay, because here's the reality. As we are continuing to shift from the responsive chatbot era to the proactive agent era, there's still a lot of manual work that we have to do, whether that's scheduling and automating your workflows, creating new skill files by hand or whatever it may be, whether you're using chat GPT, codex, Claude, Copilot, or Gemini. There's a lot of manual work that needs to go in to create these repeatable and autonomous processes. But I think that may start to change, and I think that with what this new feature is in codecs record and replay, we have maybe a preview of what's coming next as we have these extremely powerful super apps that live on our desktop and can do work for us. So that's what we're gonna be going over on today's show, but here is the big picture of codecs record and replay. So I think prompting is kind of losing to demonstration, and maybe that's not a bad thing even if you've spent a lot of time refining your prompt engineering skills or how you type to a chatbot that could be leaving by the wayside. So OpenAI shipped this new feature less than a week ago. And, essentially, you demonstrate something on your on your actual computer, on your Mac right now, and it becomes an editable skill dot m d file, then the agent can reuse.
Jordan Wilson [00:02:14]:
So the AI interface, I think, is moving away from just typing instructions to just showing your work and showing a series of tasks that go into a project that you may want to start automating. And I think that this right now, it seems like a small feature. Right? And I'm actually surprised this one didn't blow up more than it did. But I think this is a big step in transferring agency and workflow to autonomous systems. Because the other thing why I think this is actually a big deal. Because this kind of OpenAI is showing their cards in terms of model capabilities because now through whatever magic they did, they are now, can understand and ingest video, which is huge because this has been a big advantage that Google Gemini has had for the last two years as the only, kind of big player that you could upload a video to, and it could actually understand, what was going on inside that video. So that's a bigger picture. Maybe we'll talk about that a little bit more.
Jordan Wilson [00:03:15]:
But here, stick with me for the next twenty five minutes. This is gonna be a short one, on today's show. Here's what you're gonna learn. You're gonna learn what OpenAI actually changed inside of codecs is, beyond just the launch demo. You're gonna know why the skill MD or the skill markdown file is the real business artifact here that leaders should understand. You're gonna know how the shared format changes, the codex versus Claude comparison. Yeah. Stick around for that.
Jordan Wilson [00:03:43]:
And you're gonna know which workflows you should try to record first without creating unnecessary security risk. Alright. I hope you're excited for this. This is everyday AI in our weekly segment putting AI to work on Wednesday. So once a week, I get a little brave. I demo some live technology. It's unedited, unscripted. We'll see how it goes.
Jordan Wilson [00:04:07]:
Sometimes these hands on demos are amazing. Sometimes we get bugs, but that's the reality of generative AI in working on the cutting edge. Sometimes you get cut. Alright. So if you haven't already, please make sure to subscribe to the podcast if this is helpful, and then make sure you go to youreverydayai.com. Sign up for the free daily newsletter, and we're gonna be recapping not just the highlights from today's show, but all the other AI news and developments you need to know to be the smartest person in AI at your company. Alright. So without further ado, yeah, let's get dirty, shall we? Alright.
Jordan Wilson [00:04:41]:
So this one's gonna be a little tricky because I'm gonna be jumping back and forth, between some different screens, some different things I have going on, but we're gonna try to make this work. And this is one of those that, if you are listening on the podcast, this might be one of those ones that you should tune into, for the video version. So you can always see that video version of this on our website at youreverydayai.com. Alright. I'm just making sure doing one more check here before I start sharing my screen that I don't have anything, too private. Alright. So, yeah, not gonna be, doxing myself or anyone else, or I'll only be doxing myself slightly. Alright.
Jordan Wilson [00:05:26]:
So let's go ahead and share the screen. And and one thing to know, this is a plug in. Okay? So if you don't know too much about codecs, I've done a couple of shows recently, on codecs. But if you have a paid chat g b t subscription, then you have a codec subscription. It is the same, you know, it uses the same subscription, which is really nice. So you can go download. Codecs is a desktop program whether you use Mac or Windows. Although these a lot of the features come to Macs for Mac first like record and replay.
Jordan Wilson [00:06:03]:
Alright. And then after you are logged into codecs, if you haven't downloaded it already, go ahead and do that. You can follow along with me. And then you're gonna make sure to go into your upper left hand corner. There's a plugins section. All you're gonna do is search search for record and replay. Then you are going to add the plug in. After you do that, if you are brand new to codex, you're probably gonna have to go through your Mac security settings and grant it some access, to some, different, privacy features that it needs.
Jordan Wilson [00:06:31]:
Because as an example, this uses computer use. So you do give it access to essentially read and write to your entire computer. So, you know, if you are using this in a enterprise setting, make sure to get the permissions you need before doing this, understands the pros and the cons and the risks, and that just goes for not just the record and replace in codecs, but for anything desktop. Right? So whether you're talking about codecs, Claude, you know, desktop using Claude Code, Claude Cowork, Anti Gravity, whatever you're using on your desktop, always keep that in mind. So after you have codecs, you're logged in with your Chat GPT plan, you've installed the record and replay plug in. Here's what we're gonna do. So I'm gonna do this. It might seem a little backwards.
Jordan Wilson [00:07:13]:
Alright? But stick with me here. I'm doing it like this for a reason. Mainly, so hopefully, the demo can work. Alright. So live stream audience. Let me know if you can see my screen here. Alright. I think we're pretty good, not giving away too much.
Jordan Wilson [00:07:29]:
Aside from the fact, yes, I do have, you know, codex and Claude code running here at the bottom like I always do. And a couple other secret, secret projects I'm working on down there. Okay. So I'm going to put in a prompt first describing what I'm going to do. And you might be saying, Jordan, that defeats the entire purpose. Yes and no. Okay. Because my example here requires a little nuance.
Jordan Wilson [00:07:53]:
So also think of what this is and what it isn't. Because right now, this feature, all it does is it sees your screen. So, I do think, that they're going to, add in the feature where you can talk to it at the same time. So you can talk it through and walk it through visually at the same time. But, essentially, this is gonna record my screen, everything that I do. So because I'm doing a live demo and I want this to hopefully work and, you know, not have to accidentally log in to all these different places, I'm first gonna give it a precursor on what I'm doing. So I'm just putting in a simple prompt. And for this, I'm gonna go ahead, I'm gonna go ahead put this prompt in.
Jordan Wilson [00:08:34]:
Okay. Nothing crazy here. I'm just telling it what I'm gonna do. So I want you to think of that manual thing that you do that re that usually requires what I call kind of this contacts carry. So, you know, carrying contacts from different programs. I'm doing something extremely simple, very straightforward. Alright. I'm just having my my thing that I'm trying to automate.
Jordan Wilson [00:08:56]:
This is something I don't have time for even though it's not super time consuming. It's just all of these small little tasks. When I think about them in my head, I'm like, oh, this requires three, four, five different websites, all these different steps. Even if it only takes ten minutes, a lot of times, I just don't do that because my day to day schedule is absolutely bonkers bananas. Right? In in my mind, even if a task is ten minutes, if it requires me going into five, six, seven, eight different systems, doing a lot of copying and pasting, carrying contents over, even a little bit of brainpower, sometimes I just don't do them, which is why I really like this new feature. So all I'm doing in this prompt, I'm saying for this chat, I'm going to be using the record and replay eventually, but do not use it yet. And I'm just saying here's a primer on what I'm going to do before I hit record. Yes.
Jordan Wilson [00:09:39]:
I know this is kind of counterintuitive, but because it requires a little bit of nuance, this is why I'm typing it out. The reason being, what I'm trying to do is I'm gonna go into my Beehive newsletter. That is our email newsletter provider. And I'm gonna find the five most clicked on stories from our last newsletter. But here's the thing. Most days, that's our actual website. Right? It's everyone clicks on the episode page. They go to our website.
Jordan Wilson [00:10:03]:
I don't care about that. Right? So what I'm ultimately trying to do is I want to see the five most clicked stories that are not ours. Right? That aren't also not something, you know, sometimes we link out to Twitter or, you know, a lot of times it's Spotify. People click on our Spotify link. So, you know, I can't just go click on the five, you know, top stories. I do have to explain that nuance. And codex would get this right because this is an editable skill that ultimately this is gonna do that then I can run, you know, whenever I want by calling on the skill or I can make this a daily, automation, which is what I'm going to do. But all I'm gonna do, the five most popular stories, take all the text in there, copy and paste it, put it into notebook l m, and then I'm going to create an audio overview of the debate style.
Jordan Wilson [00:10:52]:
So, essentially, every day, I can wake up, I can know the five most important stories that our audience thinks about. Not only that, the content of everything have it be extremely relevant, but then have two hosts. Right? I love notebook l n. To have two hosts kinda debate different sides of those stories. So I can hopefully, right, better understand how our audience is thinking about these things. Alright. So that's all I'm doing. So, I went through.
Jordan Wilson [00:11:18]:
I told it. This is what I'm doing. So now I'm gonna click the app button. Alright? And then I'm gonna click record and replay. Alright? And so, all I'm doing is saying, you know, let's start. Alright? So I just clicked the app button. I typed in record and replay. I click let's start.
Jordan Wilson [00:11:35]:
So now what should happen is it's gonna say, okay. We're recording now. And then it's gonna, create a little recording thing at the bottom, and I wanna make sure I have everything ready. Yes. I do. I'm gonna drag this over here. Make sure I'm not showing anything. Alright.
Jordan Wilson [00:11:49]:
We're good. Yeah. I can't even show all my notebook l m's, cause yeah, there's some, some private, things in there. All right. So here we go. I'm just doing inside codex. I at tagged record and replay. I said, let's start.
Jordan Wilson [00:12:04]:
It should. Let's see if it goes here. Alright. It says it's reading the skill. It's thinking. There we go. And so now I have a little recording at the bottom of my screen. So I'm gonna try to go as fast as I can, but I'll talk you through it for a podcast audience.
Jordan Wilson [00:12:23]:
Nothing crazy is happening here, but codecs is now recording my screen. I do have dual monitors, so hopefully, this will work okay. Alright. So now I'm going into my Beehive account. I'm logged in. I'm going to the newsletter. I'm going to yesterday's yesterday's, newsletter. I'm going to, where am I going? Performance.
Jordan Wilson [00:12:45]:
Yes. Okay. So now here's all the different ones, the different clicks. These are all the different stories. So, I'm gonna click what I think are five of the most read stories. I'm just going in order here. All right. I want to make sure all of these are actual news stories.
Jordan Wilson [00:13:07]:
There we go. It looks like we have them all. Okay. One is just for, GLM, which just takes you to their website. So that that's not gonna tell me anything. So I'm just actually gonna Google it because it looks like we just linked to their actual website. But let me just go ahead and grab the actual announcement post there. There we go.
Jordan Wilson [00:13:29]:
Okay. So I think I'm good. Alright. This one couldn't be reached for whatever reason. Alright. We're good. We're good. What is this? This was a random tool.
Jordan Wilson [00:13:40]:
Alright. So I'm not gonna do that one. We gotta verify myself via CloudFlare. Yeah. This is fun. Alright. Let's do one more. I do wanna make sure that we have five that we can actually copy and paste and grab the text.
Jordan Wilson [00:13:53]:
Alright. It looks like this fortune article is not working. Cool. So maybe codex will see that I can't copy and paste this because it's, you know, apparently behind a paywall. Alright. We'll see if codex picks up on that or not. But again, this is editable. So I can always go and say, if you can't access, the text, then, you know, go down to the next story.
Jordan Wilson [00:14:17]:
Okay. So it looks like we're good here. So I'm gonna go ahead and grab all of the text from these. So I'm gonna copy and paste. I'm gonna go into copied text. I'm gonna paste insert next. I'm clicking, let me just x out of that one. That was something about NVIDIA, about the, water sustainability.
Jordan Wilson [00:14:40]:
I'm gonna click on add sources. Here's OpenAI announcing, how they're using AI to diagnose rare genetic diseases. I'm pasting that into notebook l m. Again, I'm just copying and pasting the context of all of these pages. Alright. Next, there was a micron in anthropic, announcement. I'm copying and pasting that. I'm adding this inside of notebook l m.
Jordan Wilson [00:15:04]:
We have three stories so far. Let's get two more. Copying and pasting the GLM 5.2. Alright. Putting that in there. There we go. And then our last one here, something about, someone leaving DeepMind for anthropic. Let's go ahead.
Jordan Wilson [00:15:21]:
Actually, there's a ton of extra stuff on that page. So we'll see if codex, picks this up that there's a lot of extra stuff here. It's a shorter article. So, I'm gonna copy and paste that in and done. Alright. The next thing and this is all laid out in the instructions. I want codex to go on here, click audio, and then but I want to customize this. So there's a little carrot.
Jordan Wilson [00:15:43]:
I'm gonna click that. I want it to go to the debate. Alright? And then I actually have a prompt that I'm going to want it to copy and paste, and I told it this. So the prompt the custom prompt that I'm using for this audio overview is this. The included sources are web page context of the most clicked articles from the Everyday AI newsletter. Please simulate how business I'm gonna say how busy business leaders who are leading AI implementation at their companies. That's you guys. Right? Maybe interpreting these stories and debate how each side, thoughtfully thinks about these with pinpoint detail, avoid generalities or soft takes.
Jordan Wilson [00:16:27]:
Alright. And then I told codecs, once I hit generate, it is done. So let me go back. All I have to do is I just have to click the record button one more time. And then what that does is it sends a message to codecs actually that says, I'm done recording. Okay. So now what it see what it's saying is it says, I'm stopping the recorder now, then I'll inspect the captured event stream directly. After that, I'll build the reusable skill rather than just summarizing the demo.
Jordan Wilson [00:16:58]:
So, pretty good. So I'm gonna give that a minute to cook as we go over some of the other details. And then hopefully, we'll see it at the end, and I'll see if I can actually, you know, go and run this skill. We'll see how long it takes. Alright. Also, I just realized I forgot to do a couple of things that I told Codex I was gonna do, like, renaming the notebook, which I didn't do. So we'll see what it picks up on some of the nuance there. But let's just quickly go over what's new.
Jordan Wilson [00:17:30]:
I talked about a lot of this as I was going through. But right now, this is Mac only. And during the recording, codecs observes everything you do. So actions, what you click on, you can do different programs. So I just told it to go to a specific Chrome profile. So when it builds this skill, it is going to tell itself to use that Chrome profile. So, codecs has all of these different skills. Right? So the big one one of the big differences between codecs and chat g p t is, well, codecs is an autonomous coding agent.
Jordan Wilson [00:18:02]:
Don't worry if you're not technical. All that means is it can use your computer. It can use any programs, any other desktop programs. One of the most used things I have codecs do is to use Claude code on the desktop, to use Google Gemini on the desktop. So I just haven't used all my other desktop programs. It can read and write files, all that good stuff. But codecs observes everything you do. So different actions you take, what you click on, what you highlight, what you type in, etcetera, and also the window content.
Jordan Wilson [00:18:29]:
And then those observations in order sequentially essentially become this skill file that changes what you're doing. Right? So when the recording stops, and this is what's happening now live on my other screen, codec starts to create this skill. And this is what I think is really important because a skill is an editable file, which is really nice. At any time, I can go in and I can update this. But here's the big unlock that I don't think most people are talking about. Aside from the fact, like, oh my gosh, apparently, j b d five five via codex can ingest and understand video files, which is a first for OpenAI at scale. So before it could use Python, it could go in, you could upload a video, it could look at things frame by frame. But as far as I know, this is the first time that OpenAI slash codec slash chat gbt can actually ingest and understand video.
Jordan Wilson [00:19:18]:
And like I said, this is a huge advantage that Google has had for, like, a year and a half. It's something this process here, I've actually been doing this well before codecs record and replay. I was using Google Gemini because I would dictate something. I would upload these little things, and I was creating skills. I was already doing this, but again, I'm a little dorky. I always try to break these things, but, this is pretty big. But keep in mind, this skills m d file, this is an asset that doesn't just have to live inside of codex. Obviously, it's gonna work best in codex because everything that it writes, you know, if it's using different skills, if it's using different apps, it's going to be tagging those in a codex manner that codex can read.
Jordan Wilson [00:19:56]:
However, you can use this in quad desktop. Right? You'll you'll have to go in, but you can import this skill into Claude desktop. You can change, you know, if it does call a codex specific skill, you can change that over. If it's, you know, using Claude's or sorry, if it's using codex computer use or codex Chrome, you know, you can go and update update those things accordingly. But, essentially, you are using this record, feature to literally do anything. Right? And this is why I think codecs and Claude can actually become more connected now. This is, you know, don't think of this as just locking yourself into codecs. Although, I do think the harness and codecs is much better than claud desktop and all the benchmarks show that.
Jordan Wilson [00:20:37]:
But if you are a heavy, claud desktop user and that's where you get the majority of your work done, but you still also have a Chattopty account, you should probably go in and give this a try because that shared structure matters. Because now these replays, the recording replays can be used across many different surfaces. And remember, it works through your screens, your browsers, and your plugins. So, you can use other saved skills. You can use other plugins because this is an editable feature. So anything that I would have typed in codex, Right? All I did when I started, I just said, let's start. Right? I could have typed something out and said, let's use this skill. Let's use these apps.
Jordan Wilson [00:21:17]:
You you know, you're gonna watch me work on my computer. I just did something simple that would hopefully work. Alright. Also, scripts and connectors can increase the reliability, but screen control, you know, it does increase those trust requirements. So if you are rolling this out, you know, in your enterprise, make sure that you get all those proper permissions that you need. And the limits right now are privacy and scope. So, you know, not everyone has this. You do have to be on a Mac.
Jordan Wilson [00:21:42]:
If you are in the EU, UK, Switzerland, you don't have, access to this. And I would always start off with low stakes workflow. So what I just showed, right, this isn't something that's being published live. This is something that I'm using internally. This is still a very new feature even for me. I've been using it a lot. I like it. It's still a new feature.
Jordan Wilson [00:22:01]:
So I would start by using this with low stakes things. So, you know, I would go through list your weekly computer tasks, with all the steps and clear success criteria. So for me, the success criteria for this is, okay, is it gonna accurately find those five things? And I open my notebook l m app every morning. If I go take a walk, I can listen to this and be better up to date on probably, hopefully, what all of you are thinking. So I would start just recording one short workflow using realistic inputs, no secrets, no you're right. No no passwords, nothing like that. Read each skill when it's done before rerunning it or setting it up as a scheduled automation. And you do that in codex literally, so it looks like this is done recording.
Jordan Wilson [00:22:45]:
It called this skill just the Beehive notebook l m debate. Right? So now I can say run this every day at 6AM. Right? That's all you have to do. And then every day at 6AM, I can open my notebook l m app, and it's that, go to the studio section, and it's waiting for me. Alright. So we can read each skill file, refine, preferences, and build your automation library. Alright. Let's check-in.
Jordan Wilson [00:23:08]:
I don't think I'm gonna have time to rerun this skill, but I do wanna check it. Alright. So it says done. So it took three minutes. Oh, wow. Impressive here. That was a 167 events capture. And I would go through always encourage people, read the chain of thought.
Jordan Wilson [00:23:24]:
So I'm going through here. I can see exactly what it did. Make sure everything is correct. I'm looking through this. It looks like it's doing a pretty good job. I don't see anything that's wrong. And then it says, validation passed with official skill validator. The only hiccup was, something with, Py YAML, so something with the programming language there.
Jordan Wilson [00:23:47]:
And, instead, it kind of wrote its way around that. So pretty good. And then it says that anytime I can invoke this later using the Beehive notebook l m debate skill. So as an example, let me just open this. I'm gonna say run the the Beehive notebook, skill, right now. Alright. So we'll just see. Make sure it's gonna kick off.
Jordan Wilson [00:24:11]:
It should start, taking over my browser here. So we'll probably see that a little bit in the background just to show everyone that things are, well, hopefully, running and working. And there we go. So it's running it now. I'm I'm not gonna, you know, sit around for another, you know, three to ten minutes and blab on because I wanted to keep this one tight. You know, hey, under thirty minutes. There we go. But it's going it's working.
Jordan Wilson [00:24:34]:
And now from here, I would validate it. I would run it once. I would make sure everything is correct. I would go listen to it on, my notebook l m app. I would see what I wanted to tweak. Once I get it exactly how I want it, then I schedule it. You schedule it and forget it. But as we wrap up today's show, I want you to really understand what this unlocks because a couple of things.
Jordan Wilson [00:24:57]:
Number one, it is that I think now the easiest way to create skills. Skills still to this day, skills and, you know, plugins, which is, you know, codecs' version of using skills and apps. So skills and plugins are, I think, probably the new measure. Right? It's not about how many tokens you and your teams use. It's about how often is your agent running a skill or a, or a scheduled skill. I think that's huge because that's where you are starting to actually win back time by running repeatable workflows without you, the human, having to go in, type something, find some oh, where's this Google doc? Where's this Obsidian vault? Where's all this at? Right? So, you know, really recording your mundane workflows across different browser tabs. Obviously, you can do things where you're logged in like this. Right? Obviously, I was logged into my Gmail to reach, notebook l m.
Jordan Wilson [00:25:52]:
I was logged into my, my Beehive account. So I told it to use my Chrome profile because I keep those logged in. So think about all of those things that you do over and over and over, right, and not having to write something out by hand. Although I kinda did a little bit of that just to ensure that this would hopefully work zero shot. But think of what this unlocks and what this changes, and it doesn't require literally anything. It doesn't require any technical skill. I'm not an overly technical person. You go in.
Jordan Wilson [00:26:19]:
If you have a Chattopty account, download codecs, go through again, assuming you have all permissions, record these workflows, and it's done. Right? And now you have a worker working for you that you just showed it what to do, and it did it. And I think this is a breath of fresh air, a very small feature that is going to make a big difference. So thanks for tuning in. I hope this was helpful doing our AI Wednesday at work series. Like I said, I've done a couple other, codex walkthroughs, so make sure you go check out seven eighty one, episode seven eighty one, where we went over codex sites. Another great one with, I think, a lot of value there. So make sure you go check that out.
Jordan Wilson [00:26:58]:
And then go to youreverydayai.com. Sign up for the free daily newsletter. We're gonna be recapping the highlights from today's show and a whole lot more. Thanks for tuning in. Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.
Midroll [00:27:12]:
And that's a wrap for today's edition of everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit youreverydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers, and we'll