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Automating Repetitive Business Tasks with Scheduling in AI Platforms
The latest discussion on Everyday AI highlights how scheduling features in AI platforms—specifically in Gemini, Claude, and ChatGPT—can be strategically leveraged to automate repetitive business processes. The episode details hands-on testing with real-world, business-relevant examples and exposes key differences between these platforms’ scheduling capabilities. Below is a detailed breakdown, focusing on actionable business insights and specific use cases addressed.
Scheduling Features in AI: A Comparative Analysis
The conversation focused on the practical significance of scheduling in leading AI-powered platforms. Scheduling tasks in ChatGPT, Claude, or Gemini is not just an auxiliary feature; it serves as the starting point for businesses aiming to implement more proactive and agentic workflows, even for organizations not ready to deploy fully autonomous AI desktop agents. This function enables routine and recurring business activities to be executed automatically, ensuring that business leaders can wake up to completed tasks, reducing manual repetition and operational drag 01:06.
Google Gemini's Scheduling Limitations in Business Contexts
One concept discussed was the constrained usability of scheduled actions within Gemini. The interface remains elusive, with features that are underdocumented and difficult to locate. Scheduled actions are housed in settings rather than the main navigation, and the system does not support scheduling through the normal chat interface, leading to confusion and limiting flexibility 08:03. Notably, scheduled tasks in Gemini do not retain persistent connection to user data—such as connected Gmail or calendar accounts—which greatly restricts their potential for tailored automations in a business setting. Additionally, if scheduled actions are not regularly used or checked, they are automatically disabled, posing a challenge for continuity in business process automation 08:17.
Testing found Gemini’s scheduled tasks to often provide inaccurate or outdated results, particularly when attempting to generate actionable visual dashboards or real-time market data summaries. Even when correct information was returned, features like visual presentations or interactive canvases failed to execute as instructed 30:13. Fundamentally, Gemini's scheduling features may only suit very basic, scheduled searches, rather than integrated business analysis or timely operational insights 38:08.
ChatGPT’s Scheduling and Automation for Business Operations
A key theme that emerged was ChatGPT’s comprehensive and user-friendly scheduling system. Scheduled tasks can be set up directly via sidebar navigation or conversational prompts, allowing natural language instructions such as “scan my Gmail daily at 7AM and summarize important items” 11:36. Uniquely, scheduling via chat permits model selection, enabling control over reasoning abilities—useful for business workflows ranging from simple reporting to more complex data synthesis 13:04.
ChatGPT scheduled tasks also excel by supporting:
Memory for contextualizing tasks based on prior interactions and user history 11:22
Access to connectors, plugins, and “skills” for native integrations with business data sources 41:02
Open-ended triggers, such as “Check my competitor’s pricing page and alert me when it changes,” without the need for fixed scheduling intervals 17:31
Additionally, “work mode” enables task execution within a virtualized browser—allowing for hands-free execution of intricate, UI-based processes, such as visiting sites, scrolling, and filtering data dynamically 14:54.
A direct business use case demonstrated was the automated creation of an interactive dashboard summarizing daily prices and news headlines for ten major AI stocks. ChatGPT used its “sites” feature to construct a visually rich dashboard, complete with contextual company news, filtering, mobile optimization, and actionable watch lists—making it suitable as a daily briefing tool for executives tracking market shifts 34:01.
Claude’s Scheduled Tasks and Routine Automations
The discussion explored how Claude offers two primary scheduling modes: standard scheduled tasks (comparable to ChatGPT’s feature set) and “routines” accessible via its Claude Code module. Scheduled tasks in the “home” or “chat” interface allow for simple recurring automations, project-level organization, and permission controls for approving first-run actions—although the direct business utility of manual approvals for recurring automations was questioned 21:02.
Claude’s real differentiator lies in its “routine” feature, which enables API token triggers. This function can be integrated with external workflow automation tools such as Zapier, allowing business events (e.g., submission of a high-priority web lead form) to instantly launch a Claude-driven automation routine 24:12. Unlike time-based scheduling, this approach enables just-in-time automations triggered by real, high-value business activities. Routines can include notification flows at the routine level—such as automated Slack updates for specific tasks—offering granular control over operational alerts 42:54.
One limitation noted: Claude’s routines and scheduled tasks do not harness the full context of prior user interactions or “project history,” meaning some valuable cross-session business intelligence may be absent without manual reinforcement 40:37.
Actionable Steps for Business Leaders: Translating Insights
Several points were raised, including how business stakeholders can translate these scheduling capabilities into immediate operational value:
Begin by documenting repetitive manual work within existing AI-platform usage—then convert these processes into scheduled tasks 44:00
Analyze web browser history or major touchpoints; automate daily data pulls, competitor reports, or KPI updates using scheduled dashboards 44:03
For advanced scenarios, deploy event-driven routines with API token triggers to synchronize AI workflows with platform-agnostic, real-time business events 25:04, 42:16
Use ChatGPT’s model-selecting scheduling for complex research or reporting and leverage the “site” or visual dashboard features for clear, actionable analytics 34:01
Enable Claude’s workflow automations to enhance lead follow-up or internal notification flows where direct integration with external forms or apps is required 24:48
Conclusion: Selecting the Right AI Scheduling Tool for Business
The final takeaway from the episode strongly favored ChatGPT for most business scheduling needs, due to its reliable integrations, contextual intelligence, flexible scheduling, and robust output features. Claude’s routine-based triggers offer niche advantages for event-based automation and notification requirements. Gemini’s current iteration remains suitable only for basic scheduled searches and should be considered a last resort for complex or data-driven business scheduling tasks.
Leaders seeking to elevate operational efficiency with AI should begin by automating repetitive digital workflows using these specific scheduling features, with an eye toward platforms that provide the greatest integration, contextualization, and actionable output.
Topics Covered in This Episode:
- Introduction to Scheduling Tasks in AI
- Google Gemini Scheduled Actions Overview
- ChatGPT Scheduled Tasks Features & Hacks
- ChatGPT Work Mode and Virtual Browser
- Claude Scheduled Tasks vs. Routines Comparison
- Using API Triggers with Claude Code Routines
- Real-World AI Dashboard Scheduling Test
- Detailed Results: Gemini vs. Claude vs. ChatGPT
- Key Takeaways for Best Automated Scheduling
- Practical Use Cases for Scheduling AI Tasks
Episode Transcript
Jordan Wilson [00:00:16]:
Maybe you aren't fully agent filled like me yet, and that's okay. It could be because your company hasn't given you the green light to go full desktop agent yet with codex or cloud code, or maybe you're still just getting comfortable with the web interfaces of Google Gemini, Chad GPT, or Anthropics Claude. But don't worry. You can still get a taste of that sweet proactive agentic life where you start your morning and a good chunk of your work is already done for you. Well, how? If you can't be using these autonomous desktop agents, how in the world can you get that? Well, they're called scheduled tasks. So think of scheduled tasks in today's large language models kind of as the gateway drug to being fully agent built. So if you haven't or can't make the big desktop leap to running agents around the clock, you're not out of luck because these scheduled tasks are a legit secret weapon. So secret, in fact, that sometimes it's hard to even find it, and the capabilities aren't even fully known or documented.
Jordan Wilson [00:01:28]:
So we're gonna be diving into that on today's show as we put AI to work on Wednesdays. Yeah. It is our day where we go hands on, but here is the big picture. Scheduling is one of the most underrated features in today's large language models, at least when it comes to being on the web. Because most of your routine use cases that you're using large language models for right now, well, you're probably repetitive, and you're probably doing a lot of the same things over and over. And, well, they can just be done for you. Instead of you just being a button pusher doing the same type of task, whether you know it or not, you can actually just have those be done automatically and wake up and have them done. But I think scheduling task has gone through so many different name and interface changes in all the platforms.
Jordan Wilson [00:02:15]:
It's sometimes a little confusing or you might not know how it works. And there's actually a handful of hidden features when you're scheduling inside of specifically chat g b t and cloud. So on today's show, that's exactly what we're gonna dive into, and here's what you're gonna learn. You're gonna learn the basics on why scheduling is so important and how to easily do it in the main platforms. You're gonna know what features work well in scheduling and which ones don't. And I'm gonna tell you the best use cases for scheduling to take a step toward a more proactive and agentic workflow. Alright. Let's get into it.
Jordan Wilson [00:02:53]:
What's going on? My name is Jordan Wilson. Welcome to Everyday AI. If you're new here, we do this every single day. It's your unedited, unscripted, live stream podcast and free daily newsletter, helping business leaders like you and me keep up with all the feature updates, the advancements, the UI changes, how the heck do you do this, what's going on. I do all that work for you. I tell you what works, what doesn't, what you need to pay attention to to grow your company and your career. So if that's what you're trying to do, sweet. Starts here with the live stream and the podcast.
Jordan Wilson [00:03:20]:
But if you haven't already, please make sure to go to our website at youreverydayai.com. We're gonna be recapping not just the highlights from today's show, but everything else you need to know, especially the other AI news and developments to stay ahead. And, hey, actually, a quick little announcement. It is back to school time. Yeah. Here in The US, it's that time of the year where everyone goes back to school. But, maybe you're not a student or maybe you don't even have kids in school, but guess what? We're all going back to school together. So we're gonna be doing some learning together on everyday AI.
Jordan Wilson [00:03:56]:
So there's actually this thing that we've been doing for a while called our start here series that we kicked off earlier this year, and they've been some of our most popular shows ever. It covers all of the basics of not just, you know, yesterday's AI, but today's AI and where it's going. So we're gonna be running back the entire series starting this Monday with the first volume. So a little break from our normal Monday to Friday scheduling, but I guarantee if you stick with this series from volume one through volume 30 and you put the work in, you'll know more than about 99% of the other people in your company when it comes to AI. So no jargon, no fluff, no computer science degree required. Class starts Monday. Don't be late. Alright.
Jordan Wilson [00:04:42]:
Let's get into today's episode though, where we're gonna be talking about scheduling AI and how to easily make AI work for you, right, in Claude, Gemini, in Chad GPT. Yeah. Because I don't know. I think there is a certain time before this was a feature. I was like, can we get this, please? Right? I remember seeing back in, like, 2024 when there was rumors, right, of these kind of scheduled task or, you know, scheduled actions. They've gone under a lot of name changes. I remember when these were just leaks and rumors, and I'm like, oh my gosh. This will completely change the way the world uses large language models.
Jordan Wilson [00:05:19]:
And guess what? It didn't. Mainly because I think a lot of the companies kind of change things around so much or they buried these and made them hard to find, which is actually, interesting. Because I think that the, kind of the agentic adoption was slower than it maybe could have been. If not, if if these, you know, kind of scheduled options or features would have been earlier in front and center. Because if I'm being honest, I was a very early adopter of these. Like, the day it came out, I remember. I think it was Chat GPT task that was the first to come out. It might have been in, like, late twenty twenty four.
Jordan Wilson [00:06:00]:
I started moving all of my workflows over to chat g p t tasks. And I think that process, you you know, I always talk about this concept of unlearning and rebuilding. I think that was actually one of the most important steps for me to prepare myself for, you know, moving most of our processes and even my thinking, my creativity, my brainstorming into an agentic workflow because, you know, you really have to start deconstruct, you know, to deconstruct your entire process when you're like, okay. Wait. I can wake up and have all of this stuff done for me. Right? You start, I think, thinking less in terms of what do I need to do next. Instead, you start thinking what is the end goal. Right? And then you start working your way backwards from that and saying, how can I have this end goal waiting for me in the morning? Alright.
Jordan Wilson [00:06:51]:
So, let's go through the three main platforms. Alright? And, you know, if you don't know, the three main platforms anyways are, Gemini, Claude, and ChatGPT. So yeah. Technically, Copilot, it's just too messy to do this. Right? I can show you the online version of Copilot, but almost every single one of our listeners, if you're using Copilot, you're using it on the desktop. The reason why I'm not doing Copilot well, number one, I'm on a Mac. But number two, even if I was on a, on a PC, it is entirely too difficult in terms of permissions, in terms of jumping through all of these different hoops. So it's almost like, to show you these things, it would kind of be a waste because you would go out and be like, oh my gosh.
Jordan Wilson [00:07:36]:
This is amazing, and you would try and do it, and it wouldn't work. I actually did a show previously on the online version of Microsoft Tasks, which I think are really good. So, you know, I'll make sure to drop that one in today's newsletter. But let's get into, Google Gemini. So here's the quick rundown on, Gemini's version, and these are called Gemini's scheduled actions. So let me just be honest. Not that good. They're hard to find.
Jordan Wilson [00:08:03]:
They're buggy. It's extremely limited in terms of features and the user interface, and you also can't schedule via normal chat. And unfortunately, when you try to do that, you're actually gonna get some false positives. So the other downside is if you once you do get them scheduled, if you don't use them or check-in on them, they will be automatically disabled, which stays. Right? So, yeah, a lot of downsides. So here's how you're going to find them. So if you just go to gemini.google.com, make sure you're logged in. So if you're looking on the left hand panel, they're not gonna be there.
Jordan Wilson [00:08:42]:
Alright. So, you know, fortunately, Chad GPT and Claude did, move these, scheduled tasks for them. That's what they're called front and center on the main nav bar. So, Google Gemini, no such luck. So you have to actually look in your settings, and there you'll see these scheduled actions. Alright. So once you do that, then essentially, you are met with a very simple and straightforward enough, scheduled action box where you just essentially type it in. So you give it a name, you give it instructions, you say how often and then a time, and that's it.
Jordan Wilson [00:09:22]:
Right? It's an extremely simple interface. No bells, no whistles. And the downside is, well, it's not that useful if I'm being honest. Alright? So next up, and I am gonna I do have an example, you know, one kind of simple as, prompt that I did. And then at the very end, after I show you these examples so, yeah, this is one FYI. I and this one is technically prerecorded, because it's gonna be it was a little difficult to, you know, go through, all of my different systems without accidentally doxing myself. And, also, these are scheduled. Right? So I didn't wanna schedule these for, you know, oh, 07:45, and then, oh, I'm done before then.
Jordan Wilson [00:10:05]:
Right? Because, you know, the livestream kicks off at 07:30AM Central Standard Time. So it was gonna be a little tricky to try to get all these to schedule live in in real time. So, yeah, this is one of those shows for AI at work on Wednesdays. Normally, very hands on doing live prompts, all that. So this is more of, you know, hey. I'm gonna show you how to cook, put in the oven, and guess what? It's already done. Got the cake ready. Alright.
Jordan Wilson [00:10:28]:
So next up, let's talk about how chat g b t's scheduling works. So there's are called scheduled tasks. And again, I actually did a dedicated show, on, Chad GPT's scheduled task. Let me see what, what one that was, because it was actually fairly recent because they went through some major changes. Alright. So this was actually on July 1, so episode eight ten. So I'm gonna go over that high levels, high level points for that, but it was actually a pretty in-depth episode. I remember I spent a good amount of time on it.
Jordan Wilson [00:11:03]:
So if you are a heavy chat, you could use her like a lot of people are, make sure you go check out episode eight ten. But here's the gist. So tasks now support more agentic app actions, and that's the great thing. They also work inside of projects, and you can use memory for more personalized automation. That part's huge. So you can access them directly from the sidebar like I talked about before, or you can go to chatgbt.com/scheduled. And you can just create one by describing what you want chat g b t to do in natural language. Like, you know, you can say scan my Gmail daily at 7AM and tell me what's important.
Jordan Wilson [00:11:44]:
Alright. But there's a lot more to uncover here, because this is where Chat GPT really stands out. So a little, kind of hack, you can go through the normal, interface to set this up, or like I said, you can set it up conversationally. But what a lot of people don't understand is if you set this up conversationally, you actually have, some options that you don't have if you were to set it up in your normal scheduling routine. That's because and I'm kind of looking on my on my other screen, right now. So if you go into the scheduled section, you're gonna see it's it's gonna look like a fairly, a fairly normal prompt box inside of chat GPT, except there's one or two things missing. And the big thing here is the model selector. So, yeah, it's, I believe what happens in the scheduled task, it just is gonna default to the last model you use, which may or may not be a good thing.
Jordan Wilson [00:12:45]:
So I recommend, just doing scheduling a task via natural language in the main kind of new chat box and just say schedule this at this time, and ChatGPT is smart enough where it's gonna do that. The main benefit there is, well, you can choose the exact model you want. So maybe you want to use, you know, GBT 5 six sole extra high. Right? At least you have the ability to configure the exact level of reasoning that you need for something, because maybe it's a little simpler. Right? Maybe it's more of a personalized search, and you don't exactly need the most, you know, the smartest model. But if I'm being honest, it's one of those things where, unless you're running out of limits on a Chad GPT Pro plan, which is pretty much impossible, it's you might as well just use the most powerful model at this because it's gonna be scheduled. It's gonna be happening while you sleep. So throw as much juice as you can at these things.
Jordan Wilson [00:13:45]:
So that's a little tip there with the scheduling tasks inside Chad GPT. The other one, a little hack. And for whatever reason, this doesn't always work because maybe it is truly a hack, but if you go into the new work tab inside of chat g p t. Okay. And I know that there's a lot of confusion about this, so I'm not gonna dive in too deeply, but essentially there's a new version of the chat g b t desktop, which is called chat g b t work, which is kind of the same thing as codex. But then if you go to chatgbt.com, you'll see at the top now, there's a new chat in a new, work section. So the easiest way to tell the difference because people are like, wait. When I go to chatgbt.com, do I use chat or do I use work? Well, the simplest way is, well, use chat when you just wanna chat or talk to chat g p t.
Jordan Wilson [00:14:38]:
But if you want something more like an agent, use work. So the cool thing here, and this is again, I've never seen or heard anyone else doing this, and it doesn't work every single time, but if you get it to work once when scheduling your task for me, it works over and over. But the cool thing in the work mode, it actually has its own virtual and dedicated computer and browser, which is awesome. Right? So if there's anything that you normally have to do that requires a ton of interface clicking around, right, it could be from, a website that you rely on every single day. It could just be a lot of, you know, web searching that you can't just do from reading a static page. Right? Because a lot of times when these large language models, you know, quote unquote use the web, they essentially just scan the code, of any given page, which should helpful in most cases. But what if you have to, you know, scroll down to load more? What if you have to, you you know, click around a bunch and add filters. Right? So think of all the web browsing that you do that maybe you haven't yet handed off, to an agent, and there's probably a reason for that.
Jordan Wilson [00:15:48]:
And this is awesome. So, you know, one quick example of something like this. I love Google Trends. Right? So there's something in Google Trends. You go, you can put all these filters on, and then you have to scroll down. I like to see, like, what's trending in big tech in AI. And I realized, well, why am I doing that? Right? So that's something I went into chat g b t, clicked the work, did just a natural language, gave it the URL to that. You know, once I put all those filters on, the Google trend, and then I said, hey.
Jordan Wilson [00:16:21]:
Every day at 9PM, go to this URL, scroll down to the bottom, see you know, use everything that you know about me and the everyday AI audience, and see which of these trends that our audience would care the most about. Then go out and research all those trends. Tell me why they're trending. Right? Like, yesterday, something about the iPhone was trending, and I didn't know why. Right? So it's gonna go and it's gonna, you know, help me stay more in touch with things that matter to me in my career without me having to go through and click and then go out and research. I just wake up and I know. Right? So that's actually something inside of Chad GPT that is very unique to it because, you know, Claude can't do that. You know, we're not talking Copilot.
Jordan Wilson [00:17:04]:
Copilot can't do that. And, obviously, Gemini's scheduled actions can't do that. So big hack there. Another one that's very unique to chat g p t is having these open ended tasks. So this is something that, OpenAI didn't even really highlight, in I think it was technically late June that this came out. We covered it, like, the next day. I think it was, like, July 1. Right? But you can now just say something like, you know, check my competitor's pricing page and tell me when it changes.
Jordan Wilson [00:17:31]:
You don't have to say check it every Tuesday or at this PM. I don't know how this magic works, but it just does. Right? So that's really cool. You can also just give it open ended tasks. Alright. So now I'm showing on my screen how that works. So on the left hand side, you have your, scheduled task there. Then, you can go into the scheduled task.
Jordan Wilson [00:17:58]:
And like I said, you still get, you you know, you can use all your connectors, your skills, all of those drop down. But the downside is you don't have that model selector, but you can still create a scheduled task from the scheduled section, or you can just click new chat and just type it out, in natural language, give a time, a frequency, etcetera. Then you can go in and edit them. So if you when you do click that, scheduled portion or if you go to chatgbt.com/scheduled, you can go in and edit it. So if you do give a prompt in natural language, it's gonna turn that into a set of better instructions for the model to follow. But then from there, you can make any edits. So if you remember the kind of old school, GPT builder, you could just chat with chat GPT, and it would turn your chats into a set of custom instructions. Kind of the same thing happens here under the hood.
Jordan Wilson [00:18:51]:
So you can go in and update the end, scheduled task, and you can also there's a drop down menu for when you want it to repeat the frequency, the time, and an end date. All right. Let's keep going and talk about Claude's. So Claude's are powerful, but a little confusing. Okay. And here's why, because you have your normal scheduled tasks. So, again, this is all just Claude on the web. Okay? So I'm not talking, you know, codecs desktop.
Jordan Wilson [00:19:24]:
I'm not talking about, you know, Claude desktop with Claude code and Claude co work. I am talking about Claude on the web. But if you didn't know this, Claude on the web also changed a little bit just kind of like how chat GBT did, how you have chat in work. So now Claude has home in code. Alright. So if you go to home, you can do scheduled tasks that way. So you essentially can do a scheduled task in normal chat or in Claude cohort, even more confusing. So there's technically like three different ways you can set this up.
Jordan Wilson [00:19:57]:
But, the other way is a routine. So if you click on the Claude code button, you can set up a routine. And I'm gonna quickly tell you, the difference here in the pros and the cons. Four for Claude's scheduled tasks, that's just the, it is very much the equivalent of the chat g b t version, which is like chat and work. Right? So if you need something that's just more straightforward, you know, just use the the home. If you need something that's a little more technically, agentic, you can click the co work tab. But you can also just like you can in chat gbt, you can create a schedule task just conversationally with Claude or there is a manual, setup. The cool thing about clause is you can work in a project.
Jordan Wilson [00:20:43]:
You can also set an approval level per task because, as an example, alright, if if you're giving it send actions for the first time it runs, you might want to approve those. I don't fully understand, if you're trying to schedule. Right? I kinda scratch my head on this because I'm like, okay. Why would you actually want, you you know, to, like, manually approve everything if it's on a schedule. Right? Like, if you have 10 of these things running overnight, why would you not let them auto approved? So I guess in theory, it's a nice feature. I just literally don't know the point of it. But anyways, it's there. Maybe if you just wanna run it once in front of you to see how it works, maybe that's what it's there for.
Jordan Wilson [00:21:26]:
Otherwise, it's extremely counterintuitive to schedule something, but then, oh, it's not gonna fully run because you had to approve it. Anyways, you can also choose the model, but you cannot, unfortunately, choose the reasoning level. You can set the frequency. It doesn't have a custom, version like chat g b t, but you can also, use connectors and skills like you can in chat g b t. But then you have these scheduled routines, and I actually did this let me see. This this show was a little, a little longer ago. Let me see when I did this. The scheduled, routines.
Jordan Wilson [00:22:05]:
Yeah. This is live all or, you know, unedited, unscripted, at least. So let's see when I did this show. So this was okay. This was episode seven fifty six. This was in April, but these are all, still very, very relevant because, you know, we went over this was technically through the scope of Claude desktop, but it kind of works the exact same. But we talked in-depth about the differences, between these scheduled tasks and the routines in cloud code. But the difference on the routine, right, is well, you can actually sync those with your desktop.
Jordan Wilson [00:22:47]:
So if you set up a cloud schedule task, it's not gonna sync inside Claude, desktop. So the only way you can do it is with a Claude code routine, and then you, have to choose the cloud version. So, on codecs, right on the desktop version, if you're using chat gbt work to schedule, it'll all sync. So why would you use Claude's scheduled routines? And I'll just give you the thirty second version of, episode seven fifty six. I think they're really, really good. They're more powerful, and I think a lot of people, especially nontechnical people, are gonna look at, like, Claude routines and be like, Claude code and be like, I'm not touching those. Right? You you you're gonna say there's enough with with skills and all these other things and and co work. Right? That's technical enough for me.
Jordan Wilson [00:23:37]:
Their claw cloud routines are super simple. The you know, you you don't even really have to use cloud code to go in and use cloud routines. The the the biggest, kind of benefit is you can use, essentially an API token as a trigger. So what that means, it's very simple. You can choose that, and I have a screenshot of that later so I can, walk through. Oh, I have it right here. So essentially, if you choose that as an option, you're gonna get essentially an API token. Alright? And then you can go to something like Zapier, and you can use that to essentially connect anything in Zapier and have that be a trigger to start something in a cloud routine, which is really cool.
Jordan Wilson [00:24:26]:
Right? Because as an example, you know, in chat g b t, they actually used to have this, I believe, in codex, but then they kind of simplified and unified, the the codex in chat g b t, they used to be called automation. So now they're just called scheduled task. Anyways, this used to be available in codex. I don't believe it is anymore, but this is great in, clogged routines. So as an example, you can set anything, that happens in Zapier as a trigger to start, to start a routine inside of quad code. Again, you don't have to be super technical. You can literally just give it to Claude and be like, walk me through this. Right? But, that's super valuable because otherwise, every other thing has to start at a certain time.
Jordan Wilson [00:25:12]:
Right? So maybe I don't know. You you have a super, you you know, highly valuable, form on your company's website. Right? When someone comes in, it's a potential million dollar client, and you wanna be able to start doing some leg work right away when it comes in. Obviously, you can't do a schedule task on that because you have no clue. But in this case, right, you can set this up inside cloud code. It takes, like, thirty seconds. Choose that as an option. You're gonna get this key.
Jordan Wilson [00:25:42]:
Then you go into Zapier, you know, whatever it is for using a Google form, jot form, whatever. You you know, then you're gonna get this key, plug it into Zapier, and then anytime that web form comes in, then that routine is going to start inside of cloud code once it kind of sends to that API token. So, nice unique feature there inside the, scheduled routines. Alright. So, that's kind of the gist of it, and I'm gonna go through now. And, I'm gonna share my screen for our livestream audience and podcast audience. You can always go to our website at youreverydayai.com if you wanna see the video version of this. Nothing's super visual, and I'll kind of explain what's going on.
Jordan Wilson [00:26:23]:
Right. And or you can always check the show notes, and we, do, put a link directly to today's episode. Alright. So, let's talk about what our test actually was. So this one was simple ish. Right. The downside is because Google Gemini, is not good at even using its own connectors like Gmail. I was trying to find something that I thought in theory, could be a very, you know, apples to apples comparison and something maybe realistic.
Jordan Wilson [00:26:59]:
And, also, this is something that I wanted to build anyways. So I said, alright. Let's just throw a simple schedule prompt, and talk about the use case of this. So, you know, I said every day at blank o'clock. Right? Because I spaced these out a little bit, but I gave it the same thing. So I said, every day at this time, please put together an interactive either site or artifact or canvas, because they all call them something different. But this is essentially an interactive visual, and in some it worked and some it didn't, and I'll show you that. So at every day at, a certain time, please put together an interactive visual that shows the current stock prices for these AI stocks, NVIDIA, Alphabet, Microsoft, Broadcom, Meta Platforms, Taiwan Semiconductor, Micron Technologies, AMD, Oracle, Palantir.
Jordan Wilson [00:27:51]:
Also, please include an up to date factual bullet point recap for each that explains the biggest news for each of these companies. So this is something that I don't do it every single day, but I probably every single day end up checking at least two to three, of these companies in terms of what's happening with their stock. Not because I, you know, have stock in all of them and I'm tracking it from a portfolio perspective, but from an AI news perspective, a lot of times, the company's stock will shoot up 5% or drop 5%, which is very rare. And a lot of times it has to do with something that's happening in AI as an example. You know, Alphabet slash, you know, the parent company of Google, announced a major, AI leadership change, you you know, a couple of days ago. And their stock dropped, like, 5%, which for a multitrillion dollar market cap company is an insane amount of money. Right? So sometimes, I just wanna be able to see at a glance what's happening with all these big AI companies. And, you know, essentially, if I see a a 3% up or down, that's kind of my threshold, then I know that something meaningful is happening probably in AI around news.
Jordan Wilson [00:29:04]:
So this is something I kinda wanted to build for myself, but the thing is, well, it refreshes all the time. So that's the good thing. With this being a scheduled right? This is now technically an agent that's going out and doing this every single day for me and updating it so I don't have to. Alright. So let's go ahead and look at the results. Let's share my screen here. Alright. So Google Gemini first, and Google Gemini kind of failed.
Jordan Wilson [00:29:33]:
Alright. So what's interesting so I did say use canvas mode. It didn't. So, I do believe I could be mistaken, but I do believe when you used to have, the, scheduled actions, here inside of, Google Gemini, I thought you used to be able to use some of the other features, specifically, the canvas mode. But in this case, it didn't work. So that's interesting. It did, however, go out and do the rest. So it actually fired at the correct time.
Jordan Wilson [00:30:13]:
So I did this one at 05:15PM. Right? So after the market's closed. So it got the correct prices for Nvidia, and then it gave me the key news, Alphabet, Microsoft, etcetera. So it did fire at the correct time. It followed instructions. It's, you know, got the correct prices, but it didn't put together a visual, that I wanted to use in canvas mode. Right? I could go down here, and I could say, right, I'll actually do this just so we can actually just make it at least give Google Gemini a chance because otherwise, I'm just ragging on Gemini this entire time. So I'm gonna say, you know, using all this info.
Jordan Wilson [00:30:53]:
Alright. So, yeah, unfortunately, I'm gonna have to, put together a two step one on this. So, this is where I also wanted to, you know, test out and say, hey. What other features, are available when you're scheduling a task? Because sometimes, features or modes make all the difference. It's the difference between, you know, using your data and not using your data. Right? Like, spoiler alert. One of the reasons I'll I've never really used, Google Google Gemini's, scheduled tasks is because they don't use your connected data. Right? So it's like, for me, it's not super useful.
Jordan Wilson [00:31:31]:
And in this case, it wasn't able to use the mode, for canvas. Alright. Next, let's go ahead and take a look. Let's take a look at Claude. So, same thing. I did tell it to use an artifact. It, however, didn't. So it just wrote some strict HTML, but I don't know.
Jordan Wilson [00:31:58]:
I'm not gonna say it's a failure because it looks good enough. Right? It actually put together a, very clean, you know, it says AI stocks daily. It's interactive. Right? It has a light mode, a dark mode. It gave me very clear ticker symbols, the percentage that they're up and down on the day. Right? Like, here I see Google is down 3%, so I can click there and see what happened. Right? So it said, you know, Tuesday, it fell, you know, 3.8% amid a rotation of high valuation mega cap tech. It says investors remain uneasy about AI spending, right, as their CapEx guidance was, about 200,000,000,000, and their CapEx was up a 100% year over year.
Jordan Wilson [00:32:44]:
So this for me, this is all really helpful stuff to read. Right? So when I'm talking about AI things, I, you know, can ground it in a little more recent data. There's also this button that it says, you know, expand all news, collapse all news, which is really nice. So it didn't technically make it like a shareable artifact. But overall, you know, it it did it did pretty good. So, Gemini, you know, probably failure. You know, Claude got a passing grade, but not ideal. But let's take a look at chat g b t.
Jordan Wilson [00:33:22]:
So my gosh. This one's good. Alright. So, yeah, if if if you're not looking, at the live stream here, this is one of those ones where, you know, sometimes I'm like, oh, yeah. It's cool. This one's really good. This one's really good. Alright.
Jordan Wilson [00:33:39]:
For a zero shot prompt. Right? I read it to you. Super simple. Did a fantastic job. So I use chat GBD sites, which by the way is a freaking cheat code. Like, if you're not using chat GBT sites, it is in chat GBT now. It used to only be available, inside of, codex. It used to only be available for team plans.
Jordan Wilson [00:34:01]:
Now it's available even on the web, and it's available on individual paid plans as well. If you're not using chat GBD sites, I'm just saying this, you're literally missing out. I make them all the time. Right? I have custom skills, to make a lot of them in kind of a templated way that really worked for me. I send them to my wife. Right? Because you can make them public. Anyways, let's take a look at what, ChatGPD sites did. First of all, visually, fantastic.
Jordan Wilson [00:34:32]:
Right? It give me this breakdown. You know, it says four of the 10 advanced, six of the 10 declined. It give me what's called an AI basket pulse, which is pretty cool. So it said overall, it was down point 6% across 10 companies. So I can see overall, you know, how are these things moving. Give me the winners, the losers, right. I can click on the biggest moves, the winners first. I can create a watch list, which is pretty cool.
Jordan Wilson [00:34:56]:
Right? I can toggle this little star on and off. And then when I click on any of these, it then brings the, all of the news that mattered. So let's find another we already talked about Google. Or no. Actually, let's let's click Google and see if it gave me similar, reasons that Google was down almost 4%. So it says alphabet reported q two revenue of 120,000,000,000, up 24% year over year. Search search and other revenue rose 17%. Google Cloud revenue grew grew 82%, and backlog reached 514,000,000,000 with management attributing the acceleration to AI infrastructure and AI solutions.
Jordan Wilson [00:35:35]:
So I will say this, it pulled some older news. Right? So, if I were to redo this, obviously, the chat g p t one did the best, but it pulled in some older news. I don't know if the Google one, it didn't give me the date of the news, but I'm guessing this news was maybe a little more recent. I'm not sure. But from a visual, UI, UX perspective, it's just much better. Right? I'm actually gonna go through and, you you know, probably make one or two changes in this and, you know, make it mobile optimized. And the good thing is is then all I do, you know, on my phone, I can essentially save this as an app. And then, you know, I can save it to my home screen, you know, and every day when I open it, it's gonna reload and bring up the freshest information.
Jordan Wilson [00:36:25]:
So, yeah. Overall, I think they all had their own strengths. Right? Let's take a look, going back over. Sure enough, we had another error, another error in, Google Gemini. That's fine. I really try to give, Gemini in canvas mode, which I've always loved their canvas mode. I think it's really good. There we go.
Jordan Wilson [00:36:52]:
So now it's working. Is it okay. Interesting. So when a completely different direction, give me kind of bar charts, you know, prices, quarter two growth, CapEx. So, you you know, it actually looks nice. Some nice features and functionalities, not exactly what I was expecting. But then okay. When I scroll down, I think it does a pretty good job.
Jordan Wilson [00:37:14]:
Let's read Google. So it says, executive recap summary. Although the Google, it's not right. Right? Because it says it's it's up 1%, almost 1% for the day, which, I don't believe it was. Right now I now I have to double check, to make sure. Yeah. Google was down almost 4%. So Google was wrong about the actual, day.
Jordan Wilson [00:37:43]:
So that kind of ruins it. Right? So I'm not even gonna look at the rest because if you get the facts wrong, right, you always gotta you always gotta check these things. Right? But, yeah, Google was actually down, you you know, three point, you know, roughly 7%, which the other, models got correct, and Google unfortunately got it wrong. So even though, you know, it did finish the dashboard with multiple prompts and get a fail, Google. We get a fail. Alright. So let's wrap up here and talk about my takeaways. So overall, Gemini, not useful at all.
Jordan Wilson [00:38:17]:
It struggles using its own connectors. Essentially, the only thing that it's really useful for is to customize web search for you. But even like you saw here when in my again, my one example, it pulled in incorrect information. So, I haven't used Google's right aside from when I test these things. I haven't used Google's, scheduled actions. I hope they improve them. Right. We'll see, when, we get a whether it's a Gemini three seven pro, Gemini three five pro, Gemini four pro, whatever.
Jordan Wilson [00:38:52]:
Hopefully, they bring some updates to the Gemini web platform. They did go through a UI UX update. So, hopefully, these scheduled actions, get some love as well. But overall, I'm not using them, and I would say you probably shouldn't either unless Gemini is literally the only thing that you can use at work. And the only thing you really need is, like, a customized Google search, because otherwise, really not useful. Alright. My main chat GBT takeaway is it's really good. There's a lot of unique benefits like the, you know, the anytime scheduling.
Jordan Wilson [00:39:23]:
Right? Just, hey. Go check when this happens, and it somehow figures it out without you having to schedule it. Using work mode with the virtual computer and browser is really good. The custom schedule the others don't have, like, if you say, like, every other Tuesday. Right? You can't do that, in Claude or in Gemini. Having an end date is a unique feature as well in ChatGPT because maybe as an example, you wanna run it every single day for two weeks, but then you don't want it to keep running and clog up your feet. It's great. I think Chattopty, their scheduled task more than any others are great at contextualizing, your history, or contextualizing your scheduled task in your data and history.
Jordan Wilson [00:40:05]:
Right? I forgot the technical, update for chat GBT's memory. I think it's called, like, dream v three or something. It is so much better so much better than, you you know, anyone else out there. It's not even close. I, again, don't know how OpenAI does it. But that actually really comes into play. When you're scheduling these things. Right? Especially when they're of high value, you want to be able to bring in all of that other context in history from everything that Chaje PTO or Claude knows about you.
Jordan Wilson [00:40:37]:
So, unfortunately, right, like, if you're doing the Claude routine, which is really helpful, Claude routine has no clue what you've been doing in Claude chat or in Claude co work. So you can't wrap it in that extremely important business context. Alright. Chat g p t, you can also use your connectors and plugins and skills, which is really cool. And then like I said, being able to tap into the full power of Chat g p t. So both in the reasoning levels is extremely important and helpful or being able to use the sites feature. Right? Having that sites feature that just updates all the time. Amazing.
Jordan Wilson [00:41:12]:
Alright. So now let's talk about Claude, the home or the chat scheduling takeaway. So more straightforward, but it works. Right? Unlike Google, you can use all your connectors, which is good. Being able to set the permissions, even though I don't fully understand that. If you wanna run it once as a test, maybe that's helpful. Overall, straightforward, nothing, you know, there's no standout features in the, kind of home or co work scheduling, but there is, in the other version in the routines. So in the routines, there's a lot of, you know, I already went over the, kind of the two well, two unique features.
Jordan Wilson [00:41:49]:
I didn't mention the other one. The one is being able to kind of have that API token, and have that act as a trigger, which is very unique in terms of what you can do to schedule right now inside of Claude code routines. Like I said, don't be scared of Claude code. You don't even have to use anything else in Claude code. Right? You can just think of it like a normal chat, but you can kick off, a routine based on literally anything that happens on the web. Just go on Zapier, you know, take that API token and say anything that happens in the 6,000 platforms that Zapier, connects with, send it to this API token, and then you can kick off any routine. A great, a great use case and something unique for all of the others when it comes to scheduling your work. And then the other one, which is a small one, inside Claude, Claude code routines, you can also set routine level messaging alerts, which sounds like, okay.
Jordan Wilson [00:42:46]:
Why does it matter? You know, in chat g p t and, Gemini, you can set notifications for all of them, but not at the individual level. So one of the reasons why that's helpful, right, is you can as an example for a certain routine that runs, you can send a Slack message, you know, which is pretty helpful. Alright. So like I said, there's pros and there's cons. I think overall, Chad GPT is the winner with a close second to the routines scheduling of Claude. I wish Claude would just be able to unify those somehow, and bring some of those better features in routines into their scheduled task. But, hey. If you split it up, you can still get the power.
Jordan Wilson [00:43:25]:
But, yeah, unfortunately, it doesn't kind of have that cohesive memory, which I think is so important to wrap your schedule tasks up in. Otherwise, you may spend more time going back and adjusting them and making them better anyways. Alright. So what should you schedule as we wrap here? Well, I would ask codecs or chat GBT work first. Right? Unfortunately, Claude Co doesn't have cross chat or cross co work code memory, but, unless it commits something to memory. But I would go through and spend time seeing what you actually do manually inside of these platforms. From there, find those repetitive tasks. That's what you should be scheduling.
Jordan Wilson [00:44:03]:
The other thing, kind of a little hack here, is look at your browser history or give it to an agent and see what your most viewed websites are, and then tie those websites to a deliverable and then schedule a task for that. Right? The biggest thing is being able to do these things that are time intensive, whether it's research, for the Chatt GPT work hack that I told you, clicking around on a bunch of websites. Right? See where you're spending your most time either manually pushing the buttons in Gemini, in Chatt GPT, in Claude. Turn those into scheduled tasks or just where you spending a lot of your time on the Internet. The Internet's a wasteful place. Don't spend time there. Alright. And then last but not least, the other one is start with a simple triage dashboard.
Jordan Wilson [00:44:45]:
Right? That's updated every single day. It's obviously only gonna work in Chad GBT and Claude, but, you know, bringing in your, you know, connectors for mail, calendar, Slack, Teams, your CRM, your major KPIs, your most used connectors, MCPs, etcetera. Being able to automatically have an agent go through, pull all the most important things, and essentially have a start here dashboard. Right? It's a very, you know, simple use case. Maybe that's the 2026 version of, like, the 2024, you know, improve this email. Right? Probably in 2026, it's essentially having a custom dashboard and triaging everything and telling you where to start. But if you are newer to the game and you haven't already done that, I think that's a great place to start with a scheduled task or action. Alright.
Jordan Wilson [00:45:33]:
That is a wrap y'all. So remember, if you haven't already, we're gonna be kicking off going back to school with our start here series, starting Monday. So don't be late. I'll see you then. And if you haven't already, please go to your everydayai.com. Sign up for the free daily newsletter. Thanks for tuning in. We'll see you back tomorrow and everyday for more everyday AI.
Jordan Wilson [00:45:55]:
Thanks, y'all.