WEBVTT
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Maybe you aren't fully agent pilled like me yet.
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And that's okay.
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It could be because your company hasn't given you the green light to go full desktop agent yet with Codex or Claude Code.
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Or maybe you're still just getting comfortable with the web interfaces of Google Gemini, ChatGPT, or Anthropics Claude.
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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.
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Well, how?
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If you can't be using these autonomous desktop agents, how in the world can you get that?
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Well, they're called scheduled tasks.
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So think of scheduled tasks in today's large language models kind of as the gateway drug to being fully agent-pilled.
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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.
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So secret, in fact, that sometimes it's hard to even find it, and the capabilities aren't even fully known or documented.
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So we're going to be diving into that on today's show as we put AI to work on Wednesdays.
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Yeah, it is our day where we go hands-on, but here is the big picture.
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Scheduling is one of the most underrated features in today's large language models, at least when it comes to being on the web.
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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.
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And well, they can just be done for you.
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Instead of you just being a button pusher doing the same type of tasks, whether you know it or not, you can actually just have those be done automatically and wake up and have them done.
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Uh, but I think scheduling tasks has gone through so many different name and interface changes in all the platforms, it's sometimes a little confusing, or you might not know how it works.
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And there's actually a handful of hidden features when you're scheduling inside of specifically Chat GPT and Claud.
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So on today's show, that's exactly what we're gonna dive into.
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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.
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You're gonna know what features work well in scheduling and which ones don't.
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And I'm gonna tell you the best use cases for scheduling to take a step toward a more proactive and agentic workflow.
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All right, let's get into it.
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What's going on?
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My name is Jordan Wilson.
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Welcome to Everyday AI.
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If you're new here, we do this every single day.
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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?
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What's going on?
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I do all that work for you.
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I tell you what works, what doesn't, what you need to pay attention to to grow your company and your career.
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So if that's what you're trying to do, sweet.
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Starts here with the live stream and the podcast.
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But if you haven't already, please make sure to go to our website at your everydayai.com.
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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.
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And hey, actually, a quick little announcement.
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It is back to school time.
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Yeah, here in the US.
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It's that time of the year where everyone goes back to school.
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But uh, maybe you're not a student or maybe you don't even have kids in school, but guess what?
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We're all going back to school together.
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Uh, so we're gonna be doing some learning together on everyday AI.
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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.
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It covers all of the basics of not just you know yesterday's AI, but today's AI and where it's going.
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Uh, so we're gonna be running back the entire series starting this Monday with the first volume.
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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.
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So no jargon, no fluff, no computer science degree required.
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Class starts Monday.
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Don't be late.
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All right, let's get into today's episode, though, when we're gonna be talking about scheduling AI and how to easily make AI work for you, right?
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In Claude Gemini in Chat GPT.
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Yeah, because I don't know.
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I think there was a certain time before this was a feature.
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I was like, can we get this, please?
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Right.
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I remember seeing back in like uh 2024 when there was rumors, right, of these kind of scheduled tasks or you know, scheduled actions, they've gone under a lot of name changes.
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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.
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And guess what?
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It didn't.
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Mainly because I think a lot of the companies kind of changed things around so much, or they buried these and made them hard to find, which is actually um interesting.
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Because I think that the uh kind of the agentic adoption was slower than it maybe could have been, if not if if these uh you know, kind of scheduled options or features would have been earlier in front and center.
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Uh, because if I'm being honest, I was a very early adopter of these.
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Like the day it came out.
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I remember I think it was ChatGPT tasks that was the first to come out.
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It might have been in like late 2024.
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I started moving all of my workflows over to ChatGPT tasks.
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And I think that process, uh, you know, I always talk about this concept of unlearning and rebuilding.
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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.
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Because, you know, you really have to start deconstruct, uh, 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?
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You start, I think, uh thinking less in terms of what do I need to do next.
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Instead, you start thinking, what is the end goal?
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Right.
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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?
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All right.
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So uh let's go through the three main platforms.
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All right.
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And you know, if you don't know, the three main platforms, anyways, are uh Gemini, Claude, and Chat GPT.
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So yeah, technically, Copilot, it's just too messy to do this, right?
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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.
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The reason why I'm not doing copilot, well, number one, I'm on a Mac, uh, but number two, uh, even if I was on a uh on a PC, it is entirely too difficult in terms of permissions, in terms of jumping through all of these different hoops.
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So it's almost like uh to show you these things, it would kind of be a waste because you would go out and be like, oh my gosh, this is amazing, and you would try and do it, and it wouldn't work.
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I actually did a show previously on the online version of Microsoft tasks, which I think are really good.
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So uh, you know, I'll make sure to drop that one in today's newsletter.
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But let's get into uh Google Gemini.
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So here's the quick rundown on uh Gemini's version, and these are called Gemini's Scheduled Actions.
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So let me just be honest, not that good.
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They're hard to find, they're buggy, it's extremely limited in terms of features and the user interface.
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And you also can't schedule via normal chat.
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And unfortunately, when you try to do that, you're actually gonna get some false positives.
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So the other downside is if you once you do get them scheduled, um, if you don't use them or check in on them, uh, they will be automatically disabled, which stinks, right?
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Um, so yeah, a lot of downsides.
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So here's how you're going to find them.
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So if you just go to gemini.google.com, make sure you're logged in.
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So if you're looking on the left-hand panel, they're not gonna be there.
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All right.
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So, you know, fortunately, uh Chat GPT and Claude did uh move these uh scheduled tasks for them, that's what they're called, front and center, on the main nav bar.
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So uh Google Gemini, no such luck.
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So you have to actually look in your settings, and there you'll see these scheduled actions.
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All right.
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So once you do that, um, then essentially you are met with a very simple and straightforward enough um scheduled action box where you just essentially type it in.
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So you give it a name, you give it instructions, you say how often, and then a time.
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And that's it, right?
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It's an extremely simple interface, no bells, no whistles.
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And the downside is well, it's not that useful, if I'm being honest.
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All right.
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Uh so next up, and I am gonna, I do have an example of you know, one kind of simple S uh prompt that I did.
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Um, and then at the very end, after I show you these examples, so yeah, this is one FYI and this is one is technically pre-recorded, uh, because it's gonna be it was a little difficult to, you know, go through uh all of my different systems without accidentally doxing myself.
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And also these are scheduled, right?
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So I didn't want to schedule these for, you know, oh, 745 and then oh, I'm done before then, right?
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Because you know, the live stream kicks off at 7:30 a.m.
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Central Standard time.
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Uh so it was gonna be a little tricky to try to get all these to schedule live and in real time.
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So yeah, this is one of those shows for AI at work on Wednesdays, normally very hands-on, doing live prompts, all that.
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So this is more of uh, you know, hey, I'm gonna show you how to cook, put it in the oven, and guess what?
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It's already done, got the cake ready.
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All right, so next up, let's talk about how ChatGPT's scheduling works.
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So theirs are called scheduled tasks.
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And again, I actually did a dedicated show uh on uh ChatGPT's scheduled tasks.
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Let me see what uh what one that was, because it was actually fairly recent because they went through some major changes.
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All right, so this was actually on July 1st, so episode 810.
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So I'm gonna go over the high levels, uh high level points for that, but it was actually a pretty in-depth episode.
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I remember I spent a good amount of time on it.
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Uh, so if you are a heavy chat GPT user, like a lot of people are, uh, make sure you go check out episode 810.
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But here's the gist.
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So tasks now support more agentic app actions, and that's the great thing.
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They also work inside of projects, and you can use memory for more personalized automation.
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That part's huge.
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Uh so you can access them directly from the sidebar, like I talked about before, or you can go to chatgbt.com/slash scheduled, and you can just create one by describing what you want ChatGPT to do in natural language.
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Like, you know, you can say scan my Gmail daily at 7 a.m.
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and tell me what's important.
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All right, but there's a lot more to uncover here because this is where ChatGPT really stands out.
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So a little um kind of hack, uh, you can go through the normal uh interface to set this up, or like I said, you can set it up conversationally.
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But what a lot of people don't understand is if you set this up conversationally, you actually have um some options that you don't have if you were to set it up in your normal scheduling routine.
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Uh, that's because, and I'm kind of looking on my on my other screen uh right now.
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So if you go into the scheduled section, um you're gonna see it's it's gonna look like a fairly uh a fairly normal prompt box inside of ChatGPT, except there's one or two things missing.
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And the big thing here is the model selector.
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So yeah, it's um, I believe what happens in the schedule task, it just is gonna default to the last model you used, which may or may not be a good thing.
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So I recommend um 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 chat GPT is smart enough where it's gonna do that.
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The main benefit there is well, you can choose the exact model you want.
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So maybe you want to use, you know, GPT 5.6 soul extra high, right?
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At least you have the ability to configure the exact level of reasoning that you need for something.
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Uh, because maybe it's a little simpler, right?
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Maybe it's more of a personalized search and you don't exactly need the most, you know, the smartest model.
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But if I'm being honest, it's one of those things where uh unless you're running out of limits on a ChatGPT Pro plan, which is pretty much impossible.
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Um, 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.
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So throw as much juice as you can at these things.
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Uh, so that's a little tip there with the scheduling tasks inside ChatGPT.
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Uh, the other one, a little hack, and for whatever reason, this doesn't always work because maybe it is truly a hack.
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But if you go into the new work tab inside of Chat GPT, okay, uh, 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 GPT desktop, which is called Chat GPT Work, which is kind of the same thing as codex.
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But then if you go to chat GPT.com, you'll see at the top now there's a new chat in a new uh work section.
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So the easiest way to tell the difference, because people are like, wait, when I go to chat gpt.com, do I use chat or do I use work?
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Well, the simplest way is well, use chat when you just want to chat or talk to Chat GPT.
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But if you want something more like an agent, use work.
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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.
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But if you get it to work once when scheduling your task, for me, it works over and over.
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But the cool thing in the work mode, it actually has its own virtual and dedicated computer and browser, which is awesome, right?
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So if there's anything that you normally have to do that requires a ton of interface clicking around, right?
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It could be from uh a website that you rely on every single day.
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It could just be a lot of, you know, web searching that you can't just do from reading a static page, right?
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Because a lot of times when these large language models, you know, quote unquote, use the web, they essentially just scan the code um of any given page, which should be helpful in most cases.
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But what if you have to, you know, scroll down to load more?
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Uh, what if you have to um you know click around a bunch and add filters, right?
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So think of all the web browsing that you do that maybe you haven't yet handed off um to an agent.
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And there's probably a reason for that.
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And this is awesome.
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So, you know, one quick example of something like this.
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I love Google Trends, right?
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So there's something in Google Trends, you go, you can put all these filters on, and then you have to scroll down.
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I like to see like what's trending in big tech in AI.
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And I realized, well, why am I doing that?
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Right.
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So that's something I went into Chat GPT, clicked the work, uh, did just a natural language, gave it the URL to that, you know, once I put all those filters on uh the Google trend, and then I said, Hey, every day at 9 p.m., go to this URL, scroll down to the bottom, uh, 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?
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Like uh yesterday something about the iPhone was trending and I didn't know why, right?
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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.
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I just wake up and I know, right?
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So that's actually something inside of Chat GPT that is very unique to it because uh, you know, Claude can't do that.
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Uh, you know, we're not talking co-pilot, co-pilot can't do that.
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And obviously, Gemini's schedule of actions can't do that.
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So big hack there.
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Um, another one that's very unique to Chat GPT is having these open-ended tasks.
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So this is something that uh OpenAI didn't even really highlight.
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Um, in I think it was technically late June that this came out.
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We covered it like the next day, I think it was like July 1st, right?
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Um, but you can now just say something like, you know, check my competitor's pricing page and tell me when it changes.
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You don't have to say check it every Tuesday or at this PM.
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I don't know how this magic works, but it just does, right?
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Uh, so that's really cool.
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You can also just give it open-ended tasks.
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All right.
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Um, so now I'm showing on my screen how that works.
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So on the left hand side, you have your um uh scheduled task there.
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Uh, then uh you can go in to the scheduled task, and like I said, you still get uh you know, you can use all your connectors, your skills, all of those drop down.
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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 um in natural language, give a time, a frequency, etc.
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Um, then you can go in and edit them.
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So if you when you do click that uh scheduled portion, or if you go to chat gpt.com/slash scheduled, uh, you can go in and edit it.
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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.
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But then from there, you can make any edits.
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Uh so if you remember the kind of old school uh GPT builder, you could just chat with Chat GPT and it would turn your chats into a set of custom instructions.
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Kind of the same thing happens here under the hood.
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So you can go in and update the end uh schedule task.
00:18:41.839 --> 00:18:49.759
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.
00:18:50.640 --> 00:18:53.759
All right, let's keep going and talk about clauds.
00:18:53.920 --> 00:18:58.319
So clauds are powerful, but a little confusing.
00:18:58.559 --> 00:19:00.160
Okay, and here's why.
00:19:00.319 --> 00:19:03.359
Uh, because you have your normal scheduled tasks.
00:19:03.519 --> 00:19:06.319
So again, this is all just Claude on the web.
00:19:06.640 --> 00:19:09.519
Okay, so I'm not talking, you know, codex desktop.
00:19:09.599 --> 00:19:13.920
I'm not talking about, you know, clawed desktop with Claude Code and Claude Cowork.
00:19:14.000 --> 00:19:15.759
Uh, I am talking about Claude on the web.
00:19:16.000 --> 00:19:23.200
But if you didn't know this, Claude on the web also changed a little bit, just kind of like how ChatGPT did, how you have chat in work.
00:19:23.279 --> 00:19:26.720
Uh, so now Claude has home in code.
00:19:26.880 --> 00:19:32.319
All right, so if you go to home, uh you can do schedule tasks that way.
00:19:32.400 --> 00:19:38.319
So you essentially can do a scheduled task in normal chat or in Claude cohort.
00:19:38.480 --> 00:19:39.359
Even more confusing.
00:19:39.440 --> 00:19:42.240
So there's technically like three different ways you can set this up.
00:19:42.400 --> 00:19:46.720
Uh, but uh the other way is a routine.
00:19:46.880 --> 00:19:51.680
So if you click on the Claude Code button, you can set up a routine.
00:19:51.759 --> 00:19:55.599
And I'm gonna quickly tell you uh the difference here in the pros and the cons.
00:19:55.759 --> 00:20:06.400
For for Claude's scheduled tasks, um, that's just the uh it is very much the equivalent of the ChatGPT version, which is like chat and work, right?
00:20:06.480 --> 00:20:11.359
So if you need something that's just more straightforward, you know, just use the the home.
00:20:11.440 --> 00:20:16.319
Uh, if you need something that's a little more technically uh agentic, you can click the co-work tab.
00:20:16.480 --> 00:20:25.119
But you can also, just like you can in Chat GPT, you can create a scheduled task just conversationally with Claude, or there is a manual uh setup.
00:20:25.279 --> 00:20:28.400
Uh, the cool thing about Clauds is you can work in a project.
00:20:28.559 --> 00:20:40.480
You can also set an approval level per task because um, as an example, all right, if if you're giving it send actions for the first time it runs, you might want to approve those.
00:20:40.640 --> 00:20:45.039
Uh, I don't fully understand uh if you're trying to schedule, right?
00:20:45.200 --> 00:20:53.440
I kind of scratched my head on this because I'm like, okay, why would you actually want uh you know to like manually approve everything if it's on a schedule, right?
00:20:53.519 --> 00:20:58.480
Like if you have 10 of these things running overnight, why would you not rent them auto-approved?
00:20:58.640 --> 00:21:01.359
So I guess in theory, it's a nice feature.
00:21:01.599 --> 00:21:04.160
I just literally don't know the point of it.
00:21:04.319 --> 00:21:05.839
But, anyways, it's there.
00:21:06.000 --> 00:21:11.279
Maybe if you just want to run it once in front of you to see how it works, maybe that's what it's there for.
00:21:11.440 --> 00:21:20.480
Um, otherwise, it's extremely counterintuitive to schedule something, but then oh, it's not gonna fully run because you had to approve it.
00:21:20.720 --> 00:21:26.400
Anyways, uh, you can also choose the model, but you cannot unfortunately choose the reasoning level.
00:21:26.559 --> 00:21:37.440
You can set the frequency, it doesn't have a custom uh version like ChatGPT, but you can also uh use connectors and skills like you can in Chat GPT.
00:21:37.599 --> 00:21:39.759
But then you have these scheduled routines.
00:21:39.839 --> 00:21:42.079
And I actually did this, let me see.
00:21:42.160 --> 00:21:46.240
This this show was a little uh a little longer ago.
00:21:46.400 --> 00:21:47.599
Let me see when I did this.
00:21:47.680 --> 00:21:50.240
This scheduled uh routines.
00:21:50.400 --> 00:21:54.799
Yeah, this is live all or you know, unedited, unscripted at last uh at least.
00:21:55.039 --> 00:21:56.799
So let's see when I did this show.
00:21:56.960 --> 00:22:03.839
Um so this was Okay, this was episode 756.
00:22:04.559 --> 00:22:18.240
Um, this was in April, but these are all uh still very, very relevant because um, you know, we went over this was technically through the scope of Claude Desktop, but it kind of works the exact same.
00:22:18.319 --> 00:22:25.759
But we talked in depth about the differences uh between these scheduled tasks and the routines in Claude Code.
00:22:25.839 --> 00:22:32.319
But the difference on the routine, um, right, is well, you can actually sync those with your desktop.
00:22:32.400 --> 00:22:40.799
Uh so if you set up a Claude schedule task, it's not gonna sync inside Claude um desktop.
00:22:40.960 --> 00:22:47.200
So the only way you can do it is with a Claude Code routine, and then you uh have to choose the cloud version.
00:22:47.359 --> 00:22:55.680
So um on codex, uh right on the desktop version, uh, if you're using ChatGPT work to schedule, it'll all sync.
00:22:56.000 --> 00:22:59.440
Uh so why would you use Claude's scheduled routines?
00:22:59.519 --> 00:23:04.000
And I'll just give you the 30-second version of uh episode 756.
00:23:04.160 --> 00:23:05.440
I think they're really, really good.
00:23:05.519 --> 00:23:15.440
Um, they're more powerful, and I think a lot of people, especially non-technical people, are gonna look at like claude routines and be like, uh, Claude code and be like, I'm not touching those, right?
00:23:16.319 --> 00:23:21.200
You're gonna say there's enough with with skills and all these other things and and co-work, right?
00:23:21.279 --> 00:23:22.640
That's technical enough for me.
00:23:22.880 --> 00:23:25.680
The claw clawed routines are super simple.
00:23:25.839 --> 00:23:31.519
The you know, you you don't even really have to use clawed code to go in and use clawed routines.
00:23:31.680 --> 00:23:41.519
Um, the the the biggest um kind of benefit is you can use um essentially an API token as a trigger.
00:23:41.599 --> 00:23:44.000
Uh so what that means, it's very simple.
00:23:44.160 --> 00:23:49.599
Uh, you can choose that, and I have a screenshot of that later so I can uh walk through.
00:23:50.000 --> 00:23:51.279
Oh, I have it right here.
00:23:51.440 --> 00:23:57.920
Um, so essentially, if you choose that as an option, you're gonna get essentially an API token.
00:23:58.079 --> 00:24:00.480
All right, and then you can go to something like Zapier.
00:24:00.720 --> 00:24:11.680
Um, and you can use that to essentially connect anything in Zapier and have that be a trigger to start something in a Claude routine, which is really cool, right?
00:24:11.759 --> 00:24:26.880
Because as an example, you know, in ChatGPT, they actually used to have this, I believe, in Codecs, but then they kind of simplified and unified uh the the codecs in ChatGPT uh they used to be called automation, so now they're just called schedule tasks.
00:24:27.039 --> 00:24:29.039
Anyways, this used to be available in codecs.
00:24:29.119 --> 00:24:33.119
I don't believe it is anymore, but this is great in uh claude routines.
00:24:33.279 --> 00:24:44.400
So, as an example, you can set anything uh that happens in Zapier as a trigger to start um to start a routine inside of Claude code.
00:24:44.559 --> 00:24:46.400
Again, you don't have to be super technical.
00:24:46.559 --> 00:24:50.559
You can literally just give it to Claude and be like, walk me through this, um, right.
00:24:50.720 --> 00:24:57.519
But uh that's super valuable because otherwise, every other thing has to start at a certain time, right?
00:24:57.599 --> 00:25:07.759
So maybe I don't know, you you have a super uh you know, um highly valuable uh form on your company's website, right?
00:25:07.839 --> 00:25:14.640
Uh when someone comes in, it's a potential million dollar client, and you want to be able to start doing some legwork right away when it comes in.
00:25:14.799 --> 00:25:18.640
Obviously, you can't do a schedule task on that because you have no clue.
00:25:18.799 --> 00:25:26.880
But in this case, right, you can set this up inside Claude Code, takes like 30 seconds, choose that as an option, you're gonna get this key.
00:25:27.119 --> 00:25:32.880
Then you go into Zapier, you know, whatever it is for using a Google form, Jot form, whatever.
00:25:33.039 --> 00:25:35.920
Uh, you know, then you're gonna get this key, plug it into Zapier.
00:25:36.079 --> 00:25:44.319
And then anytime that web form comes in, then that routine is going to start inside of Claude Code once it kind of sends to that API token.
00:25:44.480 --> 00:25:49.920
So uh a nice unique feature there inside the uh scheduled routines.
00:25:50.480 --> 00:25:53.440
All right, so uh that's kind of the gist of it.
00:25:53.519 --> 00:25:59.759
And I'm gonna go through now and uh I'm gonna share my screen for our live stream audience and podcast audience.
00:25:59.839 --> 00:26:04.160
You can always go to our website at your everydayai.com if you want to see the video version of this.
00:26:04.319 --> 00:26:07.839
Nothing super visual, and I'll kind of explain what's going on.
00:26:08.000 --> 00:26:08.799
Um, right.
00:26:08.880 --> 00:26:15.359
And or you can always check the show notes and we uh do uh put a link directly to today's episode.
00:26:15.519 --> 00:26:19.680
All right, so uh let's talk about what our test actually was.
00:26:19.839 --> 00:26:22.319
So this one was simple-ish.
00:26:22.960 --> 00:26:23.759
Um, right.
00:26:24.240 --> 00:26:34.640
The downside is because Google Gemini uh is not good at even using its own connectors like Gmail.
00:26:34.799 --> 00:26:44.960
Um, I was trying to find something that I thought in theory uh could be a very um, you know, apples to apples comparison and something maybe realistic.
00:26:45.119 --> 00:26:48.400
And also, this is something that I wanted to build anyways.
00:26:48.559 --> 00:26:54.400
Um, so I said, all right, let's just throw a simple schedule prompt um and talk about the use case of this.
00:26:54.640 --> 00:26:58.960
So um, you know, I said every day at blank o'clock, right?
00:26:59.039 --> 00:27:02.720
Uh, because I spaced these out a little bit, but I gave it the same thing.
00:27:02.799 --> 00:27:12.000
Uh so I said, every day at this time, please put together an interactive either site or artifact or canvas, uh, because they all call them something different.
00:27:12.079 --> 00:27:13.839
But this is essentially an interactive visual.
00:27:13.920 --> 00:27:16.640
And in some it worked and some it didn't, and I'll show you that.
00:27:16.799 --> 00:27:36.480
Um, so at every day at uh 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, uh, Taiwan Semiconductor, Micron Technologies, uh, AMD, Oracle, Palantir.
00:27:36.559 --> 00:27:44.960
Uh, also, please include an up-to-date factual bullet point recap for each that explains the biggest news for each of these companies.
00:27:45.200 --> 00:27:57.680
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.
00:27:57.920 --> 00:28:11.279
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 a company stock will shoot up five percent or drop five percent, which is very rare.
00:28:11.359 --> 00:28:15.680
And a lot of times it has to do with something that's happening in AI, as an example.
00:28:15.839 --> 00:28:34.400
You know, Alphabet slash, you know, the parent company of Google uh announced a major uh AI leadership change um, you know, a couple of days ago, and their stock dropped like five percent, which for a multi-trillion dollar market cap company is an insane amount of money, right?
00:28:34.480 --> 00:28:39.359
So sometimes I just want to be able to see at a glance what's happening with all these big AI companies.
00:28:39.519 --> 00:28:43.920
And you know, essentially if I see a 3% up or down, that's kind of my threshold.
00:28:44.079 --> 00:28:49.279
Then I know that something meaningful is happening probably in AI around news.
00:28:49.440 --> 00:28:51.759
So this is something I kind of wanted to build for myself.
00:28:51.839 --> 00:28:54.880
But the thing is, well, it refreshes all the time.
00:28:54.960 --> 00:28:58.000
So that's the good thing with this being a scheduled right.
00:28:58.079 --> 00:29:04.559
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.
00:29:04.799 --> 00:29:10.400
All right, so let's go ahead and look at the results.
00:29:11.039 --> 00:29:12.880
Let's share my screen here.
00:29:13.119 --> 00:29:18.720
All right, so Google Gemini first and Google Gemini kind of failed.
00:29:18.880 --> 00:29:20.880
All right, so what's interesting?
00:29:21.039 --> 00:29:24.000
So I did say use canvas mode.
00:29:24.240 --> 00:29:26.400
Um it didn't.
00:29:26.720 --> 00:29:47.119
So um I do believe I could be mistaken, but I do believe when you used to have uh the um scheduled actions um here inside of uh Google Gemini, I thought you used to be able to use some of the other features, specifically uh the canvas mode.
00:29:47.519 --> 00:29:50.240
Uh, but in this case, it didn't work.
00:29:50.480 --> 00:29:52.640
Um so that's interesting.
00:29:52.799 --> 00:29:55.440
It did, however, go out and do the rest.
00:29:55.519 --> 00:29:58.160
So it actually fired at the correct time.
00:29:58.319 --> 00:30:00.640
So I did this one at 5 15 p.m., right?
00:30:00.720 --> 00:30:02.480
So after the markets closed.
00:30:02.640 --> 00:30:08.799
Um, so it got the correct prices for NVIDIA, and then it gave me the key news, alphabet, Microsoft, etc.
00:30:09.200 --> 00:30:23.039
So it did fire at the correct time, it followed instructions, um, it uh, you know, got the correct prices, but it didn't put together a visual uh that I wanted to use in Canvas mode, right?
00:30:23.119 --> 00:30:34.079
I could go down here um and I could say, right, I'll actually do this just so we can actually just make it at least give Google and Gemini a chance because otherwise I'm just ragging on Gemini this entire time.
00:30:34.240 --> 00:30:37.759
So I'm gonna say, uh, you know, using all this info.
00:30:38.640 --> 00:30:39.039
All right.
00:30:39.119 --> 00:30:44.400
So yeah, unfortunately, I'm gonna have to um put together a two-step one on this.
00:30:44.559 --> 00:30:53.759
So uh this is where I also wanted to, you know, test out and say, hey, what other features um are available when you're scheduling a task?
00:30:53.839 --> 00:30:59.119
Because sometimes uh uh feet features or modes make all the difference.
00:30:59.279 --> 00:31:04.000
It's the difference between, you know, using your data and not using your data, uh, right?
00:31:04.079 --> 00:31:14.079
Like spoiler alert, one of the reasons I'll I've never really used uh Google Google Gemini's uh scheduled tasks is because they don't use your connected data, right?
00:31:14.160 --> 00:31:16.640
So it's like for me, it's not super useful.
00:31:16.799 --> 00:31:21.519
And in this case, it wasn't able to use the mode um for Canvas.
00:31:21.680 --> 00:31:25.279
All right, next, let's go ahead and take a look.
00:31:26.240 --> 00:31:28.240
Uh let's take a look at Claude.
00:31:28.799 --> 00:31:30.480
So uh same thing.
00:31:30.640 --> 00:31:35.039
Um, I did tell it to use an artifact.
00:31:35.279 --> 00:31:37.839
It however didn't.
00:31:37.920 --> 00:31:43.680
So it just wrote some strict HTML, but I don't know.
00:31:43.839 --> 00:31:47.759
Um, I'm not gonna say it's a failure because it looks good enough, uh, right?
00:31:47.839 --> 00:31:54.160
It actually put together a uh very clean uh, you know, it says AI stocks daily.
00:31:54.240 --> 00:31:55.519
It's interactive, right?
00:31:55.599 --> 00:31:58.240
It has a light mode, a dark mode.
00:31:58.319 --> 00:32:04.640
Uh, it gave me very clear ticker symbols, uh, the percentage that they're up and down on the day, right?
00:32:04.720 --> 00:32:06.720
Like here I see Google is down 3%.
00:32:07.359 --> 00:32:10.640
So I can click there and see what happened, right?
00:32:10.720 --> 00:32:18.319
So it said, you know, Tuesday it fell uh, you know, 3.8% amid a rotation of high valuation mega cap tech.
00:32:18.640 --> 00:32:22.720
It says investors remain uneasy about AI spending, right?
00:32:22.799 --> 00:32:29.359
As their capex guidance was uh about 200 billion, uh, and their capex was up 100% year over year.
00:32:29.519 --> 00:32:33.359
So this for me, this is all really helpful stuff to read, right?
00:32:33.519 --> 00:32:37.920
So when I'm talking about AI things, I you know can ground it in a little more recent data.
00:32:38.079 --> 00:32:43.839
Uh, there's also this button that it says, you know, uh expand all news, collapse all news, which is really nice.
00:32:44.000 --> 00:32:48.160
So it didn't technically make it like a shareable artifact.
00:32:48.319 --> 00:32:53.039
Um, but overall, you know, it it did it did pretty good.
00:32:53.279 --> 00:32:59.440
Um so uh Gemini, you know, probably failure.
00:32:59.599 --> 00:33:04.400
Uh you know, uh Claude got a passing grade, but not ideal.
00:33:04.640 --> 00:33:07.519
But let's take a look at Chat GPT.
00:33:07.759 --> 00:33:10.480
So my gosh, this one's good.
00:33:10.640 --> 00:33:10.960
All right.
00:33:11.039 --> 00:33:20.880
So yeah, if if if you're not looking um at the live stream here, this is one of those ones where you know, sometimes I'm like, oh yeah, it's cool.
00:33:20.960 --> 00:33:22.480
This one's really good.
00:33:22.640 --> 00:33:23.839
This one's really good.
00:33:24.000 --> 00:33:27.119
All right, for a zero shot prompt, right?
00:33:27.200 --> 00:33:28.640
I read it to you, super simple.
00:33:28.880 --> 00:33:31.200
Um did a fantastic job.
00:33:31.279 --> 00:33:35.359
So I used ChatGPT sites, which by the way is a freaking cheat code.
00:33:35.519 --> 00:33:38.960
Like, if you're not using ChatGPT sites, it is in ChatGPT now.
00:33:39.039 --> 00:33:43.599
It used to only be available um inside of uh codecs.
00:33:43.680 --> 00:33:46.799
It used to only be available for team plans.
00:33:46.960 --> 00:33:51.519
Now it's available even on the web and it's available on individual paid plans as well.
00:33:51.680 --> 00:33:56.000
If you're not using ChatGPT sites, I'm just saying this, you're literally missing out.
00:33:56.319 --> 00:33:58.559
I make them all the time, right?
00:33:58.640 --> 00:34:04.400
I have custom skills uh to make a lot of them in kind of a templated way that really work for me.
00:34:04.559 --> 00:34:06.720
Uh, I send them to my wife, right?
00:34:06.799 --> 00:34:08.000
Because you can make them public.
00:34:08.159 --> 00:34:12.639
Uh, anyways, let's take a look at what uh ChatGPT sites did.
00:34:13.199 --> 00:34:17.679
Uh first of all, visually, fantastic, right?
00:34:17.840 --> 00:34:19.039
It gave me this breakdown.
00:34:19.280 --> 00:34:22.400
You know, it says four of the 10 advanced, six of the 10 declined.
00:34:22.480 --> 00:34:25.840
It gave me what's called an AI basket pulse, which is pretty cool.
00:34:25.920 --> 00:34:29.840
So it said overall, it was down 0.6% across 10 companies.
00:34:29.920 --> 00:34:33.280
So I can see overall, you know, how are these things moving?
00:34:33.599 --> 00:34:35.920
Give me the winners, the losers, uh, right?
00:34:36.000 --> 00:34:38.559
I can click on the biggest moves, the winners first.
00:34:38.639 --> 00:34:41.679
Uh, I can create a watch list, uh, which is pretty cool, right?
00:34:41.760 --> 00:34:44.159
I can toggle this little star on and off.
00:34:44.239 --> 00:34:53.039
Um, and then when I click on any of these, um it then brings the uh all of the news that mattered.
00:34:53.119 --> 00:34:54.000
So let's find another.
00:34:54.079 --> 00:34:55.360
We already talked about Google.
00:34:55.519 --> 00:35:01.199
Or no, actually, let's let's click Google and see if it gave me similar uh reasons that Google was down almost 4%.
00:35:01.599 --> 00:35:09.920
So it says Alphabet reported Q2 revenue of 120 billion, up 24% year over year, search search and other revenue rose 17%.
00:35:10.400 --> 00:35:20.000
Uh Google Cloud revenue grew 82%, and backlog reached 514 billion with management attributing the acceleration to AI infrastructure and AI solutions.
00:35:20.079 --> 00:35:21.920
Uh, so I will say this.
00:35:22.239 --> 00:35:25.360
Uh, it pulled some older news, right?
00:35:25.519 --> 00:35:32.239
So uh if I were to redo this, uh obviously the ChatGPT one did the best, uh, but it pulled in some older news.
00:35:32.400 --> 00:35:37.519
Uh, I don't know if the Google one, it didn't give me the date of the news.
00:35:37.679 --> 00:35:41.840
Um, but I'm guessing this news was maybe a little more recent.
00:35:41.920 --> 00:35:42.880
I'm not sure.
00:35:43.039 --> 00:35:49.599
Uh, but from a visual uh UI UX perspective, it's just much better, right?
00:35:49.760 --> 00:35:57.519
I'm actually gonna go through and uh, you know, probably make one or two changes in this and you know, make it mobile optimized.
00:35:57.679 --> 00:36:02.719
And the good thing is, is then all I do, you know, on my phone, I can essentially save this as an app.
00:36:02.800 --> 00:36:10.239
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.
00:36:10.480 --> 00:36:20.079
So um yeah, overall, uh I think they all had their own strengths, right?
00:36:20.159 --> 00:36:21.280
Uh, let's take a look.
00:36:21.360 --> 00:36:22.639
Um, going back over.
00:36:23.760 --> 00:36:27.119
Uh, sure enough, uh, we had another error.
00:36:27.280 --> 00:36:30.159
Um, another error in uh Google Gemini.
00:36:30.320 --> 00:36:30.719
That's fine.
00:36:30.800 --> 00:36:35.679
I really try to give uh Gemini in Canvas mode, uh, which I've always loved their canvas mode.
00:36:35.760 --> 00:36:36.400
I think it's really good.
00:36:36.480 --> 00:36:36.960
There we go.
00:36:37.119 --> 00:36:38.960
Uh so now it's working.
00:36:39.920 --> 00:36:40.960
Is it okay?
00:36:41.119 --> 00:36:41.599
Interesting.
00:36:41.760 --> 00:36:43.440
So it went a completely different direction.
00:36:43.599 --> 00:36:48.000
Give me kind of bar charts, uh, you know, prices, quarter two growth, capex.
00:36:48.400 --> 00:36:50.880
Uh so you know, it actually looks nice.
00:36:50.960 --> 00:36:55.760
Uh some nice features and functionalities, not exactly what I was expecting.
00:36:55.920 --> 00:37:00.000
Uh, but then okay, when I scroll down, uh, I think it does a pretty good job.
00:37:00.079 --> 00:37:01.360
Let's read Google.
00:37:01.599 --> 00:37:06.320
Um, so it says uh executive recap summary.
00:37:06.639 --> 00:37:10.480
Although the Google, it's not right, right?
00:37:10.639 --> 00:37:18.159
Uh, because it says it's it's up one percent, uh almost one percent for the day, which um I don't believe it was right now.
00:37:18.239 --> 00:37:21.199
I now I have to double check uh to make sure.
00:37:21.360 --> 00:37:23.360
Yeah, Google was down almost four percent.
00:37:23.519 --> 00:37:30.880
So Google was wrong about the actual uh day, so that kind of ruins it, right?
00:37:30.960 --> 00:37:37.599
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?
00:37:37.679 --> 00:37:47.760
But yeah, uh Google was actually down you know, three point, you know, roughly seven percent, which the other uh models got correct, and Google unfortunately got it wrong.
00:37:47.840 --> 00:37:54.000
So even though you know it did finish the dashboard with multiple prompts, and get a fail, Google.
00:37:54.079 --> 00:37:54.800
We get a fail.
00:37:54.880 --> 00:37:55.280
All right.
00:37:55.519 --> 00:37:59.360
So let's wrap up here and talk about my takeaways.
00:37:59.440 --> 00:38:02.159
So overall, Gemini, not useful at all.
00:38:02.320 --> 00:38:04.320
It struggles using its own connectors.
00:38:04.400 --> 00:38:11.519
Uh essentially, the only thing that it's really useful for is to customize web search for you.
00:38:11.679 --> 00:38:17.360
Uh, but even like you saw here, when in my again, my one example, it pulled in incorrect information.
00:38:17.519 --> 00:38:20.639
So uh I haven't used Google's, right?
00:38:20.719 --> 00:38:26.480
Aside from when I test these things, I haven't used Google's um scheduled actions.
00:38:26.559 --> 00:38:27.840
I hope they improve them.
00:38:27.920 --> 00:38:28.400
Uh, right.
00:38:28.480 --> 00:38:37.360
We'll see uh when uh we get a whether it's a Gemini 3.7 Pro, Gemini 3.5 Pro, Gemini 4 Pro, whatever.
00:38:37.440 --> 00:38:40.559
Uh hopefully they bring some updates to the Gemini web platform.
00:38:40.639 --> 00:38:42.559
They did go through a UI UX update.
00:38:42.639 --> 00:38:46.400
So hopefully these scheduled actions uh get some love as well.
00:38:46.480 --> 00:38:58.320
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.
00:38:58.400 --> 00:39:00.639
Um, because otherwise, really not useful.
00:39:00.719 --> 00:39:01.199
Uh all right.
00:39:01.280 --> 00:39:04.639
My main Chad GPT takeaway is it's really good.
00:39:04.800 --> 00:39:09.440
There's a lot of unique benefits, like the, you know, the anytime scheduling, right?
00:39:09.519 --> 00:39:14.800
Uh just hey, go check when this happens and it somehow figures it out without you having to schedule it.
00:39:14.960 --> 00:39:19.599
Um, using work mode with the virtual computer and browser is really good.
00:39:19.840 --> 00:39:24.480
Um, the custom schedule the others don't have, like if you say like every other Tuesday, right?
00:39:24.559 --> 00:39:27.920
You can't do that um in Claude or in Gemini.
00:39:28.239 --> 00:39:38.639
Uh having an end date is a unique feature as well in ChatGPT because maybe as an example, you want to run it every single day for two weeks, but then you don't want it to keep running and clog up your feet.
00:39:38.719 --> 00:39:39.599
Uh, it's great.
00:39:39.760 --> 00:39:51.519
I think ChatGPT, uh, their schedule tasks more than any others are great at contextualizing um your history or contextualizing your schedule task in your data and history, right?
00:39:51.599 --> 00:39:55.679
I forgot the technical uh update for ChatGPT's memory.
00:39:55.760 --> 00:39:58.480
I think it's called like Dream V3 or something.
00:39:58.719 --> 00:40:03.920
It is so much better, so much better than you know anyone else out there.
00:40:04.079 --> 00:40:05.440
It's not even close.
00:40:05.599 --> 00:40:08.719
Um, I again don't know how OpenAI does it.
00:40:08.800 --> 00:40:11.920
Um, but that actually really comes into play.
00:40:12.079 --> 00:40:22.639
Um, 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 and history from everything that ChatGPT or Claude knows about you.
00:40:22.800 --> 00:40:34.000
So unfortunately, right, like if you're doing the Claude routine, uh, which is really helpful, Claude Routine has no clue what you've been doing in Claude Chat or in Claude cowork.
00:40:34.159 --> 00:40:38.000
So you can't wrap it in that extremely important business context.
00:40:38.239 --> 00:40:43.280
All right, ChatGPT, you can also use your connectors and plugins and skills, which is really cool.
00:40:43.519 --> 00:40:48.159
Um and then, like I said, being able to tap into the full power of ChatGPT.
00:40:48.239 --> 00:40:54.639
So both in the reasoning levels is extremely important and helpful, or being able to use the sites feature, right?
00:40:54.719 --> 00:40:57.519
Having that sites feature that just updates all the time, amazing.
00:40:57.679 --> 00:41:03.199
All right, so now let's talk about Claude, the home or the chat scheduling takeaway.
00:41:03.360 --> 00:41:06.480
So more straightforward, but it works, right?
00:41:06.639 --> 00:41:09.840
Unlike Google, you can use all your connectors, which is good.
00:41:10.000 --> 00:41:13.039
Being able to set the permissions, even though I don't fully understand that.
00:41:13.119 --> 00:41:16.000
If you want to run it once as a test, maybe that's helpful.
00:41:16.239 --> 00:41:28.960
Overall, straightforward, nothing, you know, there's no standout features in the um kind of home or co-work scheduling, but there is um in the other version in the routines.
00:41:29.039 --> 00:41:35.199
So in the routines, there's a lot of, you know, I already went over the um kind of the two, well, two unique features.
00:41:35.280 --> 00:41:36.320
I didn't mention the other one.
00:41:36.400 --> 00:41:48.159
The one is being able to kind of have that API token um 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.
00:41:48.320 --> 00:41:50.559
Like I said, don't be scared of clawed code.
00:41:50.639 --> 00:41:54.159
You don't even have to use anything else in Claude Code, uh, right?
00:41:54.320 --> 00:42:01.519
You can just think of it like a normal chat, but you can kick off um a routine based on literally anything that happens on the web.
00:42:01.599 --> 00:42:13.840
Just go in Zapier, you know, take that API token and say anything that happens in the 6,000 platforms that Zapier um connects with, send it to this API token, and then you can kick off any routine.
00:42:14.000 --> 00:42:20.159
Uh, a great um a great use case and something unique for all of the others when it comes to scheduling your work.
00:42:20.320 --> 00:42:32.559
And then the other one, which is a small one, um, inside clawed um clawed code routines, you can also set routine level messaging alerts, which sounds like, okay, why does it matter?
00:42:32.719 --> 00:42:39.519
Um, you know, in ChatGPT and uh Gemini, you can set notifications for all of them, but not at the individual level.
00:42:39.599 --> 00:42:49.039
So one of the reasons why that's helpful, uh, right, is you can, as an example for a certain routine that runs, you can send a Slack message, uh, you know, which is pretty helpful.
00:42:49.280 --> 00:42:49.760
All right.
00:42:49.920 --> 00:42:52.639
So, like I said, there's pros and there's cons.
00:42:52.800 --> 00:43:00.480
I think overall, um, ChatGPT is the winner with a close second to the routines scheduling of Claude.
00:43:00.639 --> 00:43:07.440
I wish Claude would just be able to unify those somehow and bring some of those better features in routines into their schedule tasks.
00:43:07.599 --> 00:43:10.559
But uh, hey, if you split it up, you can still get the power.
00:43:10.639 --> 00:43:16.559
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.
00:43:16.639 --> 00:43:21.280
Otherwise, you may spend more time going back and adjusting them and making them better, anyways.
00:43:21.599 --> 00:43:24.800
All right, so what should you schedule as we wrap here?
00:43:24.960 --> 00:43:29.679
Well, I would ask Codecs or ChatGPT work first, right?
00:43:29.760 --> 00:43:45.039
Uh unfortunately, Claude Code doesn't have cross-chat or cross-co-work code memory, um, but uh unless it commits something to memory, but I would go through and spend time seeing what you actually do manually inside of these platforms.
00:43:45.199 --> 00:43:47.519
From there, find those repetitive tasks.
00:43:47.599 --> 00:43:49.039
That's what you should be scheduling.
00:43:49.199 --> 00:44:02.320
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?
00:44:02.480 --> 00:44:12.320
The biggest thing is being able to do these things that are time intensive, whether it's research for the Chat GPT work hack that I told you, clicking around on a bunch of websites, right?
00:44:12.480 --> 00:44:23.199
See where you're spending your most time, either manually pushing the buttons in Gemini, in ChatGPT, in Claude, turn those into scheduled tasks, or just where are you spending a lot of your time on the internet?
00:44:23.519 --> 00:44:24.719
The internet's a wasteful place.
00:44:24.880 --> 00:44:26.000
Don't spend time there.
00:44:26.239 --> 00:44:26.480
All right.
00:44:26.559 --> 00:44:31.199
And then last but not least, the other one is start with this simple triage dashboard, right?
00:44:31.280 --> 00:44:33.280
That's updated every single day.
00:44:33.440 --> 00:44:55.119
It's obviously only going to work in Chat GPT and Claude, uh, but you know, bringing in your you know connectors for mail, calendar, Slack, Teams, your CRM, your major KPIs, your most used connectors, MCPs, etc., being able to automatically have an agent go through, pull all the most important things, and essentially have a start here dashboard, right?
00:44:55.199 --> 00:44:57.679
It's a very, you know, simple use case.
00:44:57.840 --> 00:45:04.960
Maybe that's the 2026 version of like the 2024, uh, you know, improve this email, right?
00:45:05.039 --> 00:45:11.119
Probably in 2026, it's essentially having a custom dashboard and triaging everything and telling you where to start.
00:45:11.280 --> 00:45:17.760
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.
00:45:17.920 --> 00:45:20.960
All right, that is a wrap, y'all.
00:45:21.119 --> 00:45:30.079
Uh, so remember, if you haven't already, we're gonna be kicking off going back to school with our start here series uh starting Monday.
00:45:30.159 --> 00:45:31.039
So don't be late.
00:45:31.199 --> 00:45:32.079
I'll see you then.
00:45:32.239 --> 00:45:37.679
And if you haven't already, please go to your everydayai.com, sign up for the free daily newsletter.
00:45:37.760 --> 00:45:38.400
Thanks for tuning in.
00:45:38.480 --> 00:45:41.039
We'll see you back tomorrow in every day for more everyday AI.
00:45:41.119 --> 00:45:42.079
Thanks, y'all.
00:00:01.840 --> 00:00:06.000
Maybe you aren't fully agent pilled like me yet.
00:00:06.240 --> 00:00:07.519
And that's okay.
00:00:07.759 --> 00:00:15.679
It could be because your company hasn't given you the green light to go full desktop agent yet with Codex or Claude Code.
00:00:15.839 --> 00:00:23.679
Or maybe you're still just getting comfortable with the web interfaces of Google Gemini, ChatGPT, or Anthropics Claude.
00:00:23.920 --> 00:00:34.159
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.
00:00:34.399 --> 00:00:35.520
Well, how?
00:00:35.920 --> 00:00:40.719
If you can't be using these autonomous desktop agents, how in the world can you get that?
00:00:40.880 --> 00:00:43.600
Well, they're called scheduled tasks.
00:00:43.759 --> 00:00:51.520
So think of scheduled tasks in today's large language models kind of as the gateway drug to being fully agent-pilled.
00:00:51.759 --> 00:01:05.120
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.
00:01:05.359 --> 00:01:13.359
So secret, in fact, that sometimes it's hard to even find it, and the capabilities aren't even fully known or documented.
00:01:13.599 --> 00:01:20.079
So we're going to be diving into that on today's show as we put AI to work on Wednesdays.
00:01:20.239 --> 00:01:25.120
Yeah, it is our day where we go hands-on, but here is the big picture.
00:01:25.359 --> 00:01:33.519
Scheduling is one of the most underrated features in today's large language models, at least when it comes to being on the web.
00:01:33.680 --> 00:01:42.799
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.
00:01:42.879 --> 00:01:44.959
And well, they can just be done for you.
00:01:45.040 --> 00:01:55.200
Instead of you just being a button pusher doing the same type of tasks, whether you know it or not, you can actually just have those be done automatically and wake up and have them done.
00:01:55.359 --> 00:02:04.879
Uh, but I think scheduling tasks has gone through so many different name and interface changes in all the platforms, it's sometimes a little confusing, or you might not know how it works.
00:02:05.040 --> 00:02:12.879
And there's actually a handful of hidden features when you're scheduling inside of specifically Chat GPT and Claud.
00:02:13.120 --> 00:02:16.159
So on today's show, that's exactly what we're gonna dive into.
00:02:16.240 --> 00:02:24.159
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.
00:02:24.240 --> 00:02:28.560
You're gonna know what features work well in scheduling and which ones don't.
00:02:28.719 --> 00:02:37.039
And I'm gonna tell you the best use cases for scheduling to take a step toward a more proactive and agentic workflow.
00:02:37.360 --> 00:02:38.960
All right, let's get into it.
00:02:39.039 --> 00:02:39.520
What's going on?
00:02:39.599 --> 00:02:40.639
My name is Jordan Wilson.
00:02:40.719 --> 00:02:41.919
Welcome to Everyday AI.
00:02:42.080 --> 00:02:44.159
If you're new here, we do this every single day.
00:02:44.240 --> 00:02:54.560
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?
00:02:54.639 --> 00:02:55.680
What's going on?
00:02:55.919 --> 00:02:57.520
I do all that work for you.
00:02:57.759 --> 00:03:02.159
I tell you what works, what doesn't, what you need to pay attention to to grow your company and your career.
00:03:02.319 --> 00:03:04.080
So if that's what you're trying to do, sweet.
00:03:04.240 --> 00:03:06.080
Starts here with the live stream and the podcast.
00:03:06.159 --> 00:03:10.639
But if you haven't already, please make sure to go to our website at your everydayai.com.
00:03:10.719 --> 00:03:18.319
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.
00:03:18.479 --> 00:03:22.080
And hey, actually, a quick little announcement.
00:03:22.319 --> 00:03:24.240
It is back to school time.
00:03:24.319 --> 00:03:25.439
Yeah, here in the US.
00:03:25.520 --> 00:03:29.039
It's that time of the year where everyone goes back to school.
00:03:29.199 --> 00:03:34.960
But uh, maybe you're not a student or maybe you don't even have kids in school, but guess what?
00:03:35.120 --> 00:03:36.800
We're all going back to school together.
00:03:36.960 --> 00:03:41.520
Uh, so we're gonna be doing some learning together on everyday AI.
00:03:41.680 --> 00:03:51.360
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.
00:03:51.599 --> 00:03:59.120
It covers all of the basics of not just you know yesterday's AI, but today's AI and where it's going.
00:03:59.280 --> 00:04:05.520
Uh, so we're gonna be running back the entire series starting this Monday with the first volume.
00:04:05.680 --> 00:04:20.000
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.
00:04:20.079 --> 00:04:24.160
So no jargon, no fluff, no computer science degree required.
00:04:24.319 --> 00:04:25.839
Class starts Monday.
00:04:26.000 --> 00:04:27.120
Don't be late.
00:04:27.279 --> 00:04:36.720
All right, let's get into today's episode, though, when we're gonna be talking about scheduling AI and how to easily make AI work for you, right?
00:04:36.800 --> 00:04:39.360
In Claude Gemini in Chat GPT.
00:04:39.439 --> 00:04:41.040
Yeah, because I don't know.
00:04:41.439 --> 00:04:44.240
I think there was a certain time before this was a feature.
00:04:44.399 --> 00:04:46.560
I was like, can we get this, please?
00:04:46.720 --> 00:04:46.959
Right.
00:04:47.040 --> 00:04:57.519
I remember seeing back in like uh 2024 when there was rumors, right, of these kind of scheduled tasks or you know, scheduled actions, they've gone under a lot of name changes.
00:04:57.680 --> 00:05:04.560
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.
00:05:04.639 --> 00:05:05.600
And guess what?
00:05:05.839 --> 00:05:06.800
It didn't.
00:05:07.040 --> 00:05:17.360
Mainly because I think a lot of the companies kind of changed things around so much, or they buried these and made them hard to find, which is actually um interesting.
00:05:17.759 --> 00:05:34.079
Because I think that the uh kind of the agentic adoption was slower than it maybe could have been, if not if if these uh you know, kind of scheduled options or features would have been earlier in front and center.
00:05:34.160 --> 00:05:39.120
Uh, because if I'm being honest, I was a very early adopter of these.
00:05:39.199 --> 00:05:40.399
Like the day it came out.
00:05:40.560 --> 00:05:43.600
I remember I think it was ChatGPT tasks that was the first to come out.
00:05:43.759 --> 00:05:45.759
It might have been in like late 2024.
00:05:45.920 --> 00:05:49.920
I started moving all of my workflows over to ChatGPT tasks.
00:05:50.079 --> 00:05:55.920
And I think that process, uh, you know, I always talk about this concept of unlearning and rebuilding.
00:05:56.079 --> 00:06:09.920
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.
00:06:10.000 --> 00:06:20.800
Because, you know, you really have to start deconstruct, uh, 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?
00:06:20.959 --> 00:06:26.079
You start, I think, uh thinking less in terms of what do I need to do next.
00:06:26.319 --> 00:06:29.040
Instead, you start thinking, what is the end goal?
00:06:29.199 --> 00:06:29.439
Right.
00:06:29.519 --> 00:06:35.439
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?
00:06:35.600 --> 00:06:36.160
All right.
00:06:36.720 --> 00:06:40.319
So uh let's go through the three main platforms.
00:06:40.480 --> 00:06:40.800
All right.
00:06:40.879 --> 00:06:47.600
And you know, if you don't know, the three main platforms, anyways, are uh Gemini, Claude, and Chat GPT.
00:06:47.680 --> 00:06:52.639
So yeah, technically, Copilot, it's just too messy to do this, right?
00:06:52.720 --> 00:07:00.240
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.
00:07:00.319 --> 00:07:15.360
The reason why I'm not doing copilot, well, number one, I'm on a Mac, uh, but number two, uh, even if I was on a uh on a PC, it is entirely too difficult in terms of permissions, in terms of jumping through all of these different hoops.
00:07:15.519 --> 00:07:23.680
So it's almost like uh to show you these things, it would kind of be a waste because you would go out and be like, oh my gosh, this is amazing, and you would try and do it, and it wouldn't work.
00:07:23.839 --> 00:07:30.079
I actually did a show previously on the online version of Microsoft tasks, which I think are really good.
00:07:30.240 --> 00:07:33.199
So uh, you know, I'll make sure to drop that one in today's newsletter.
00:07:33.279 --> 00:07:35.680
But let's get into uh Google Gemini.
00:07:36.079 --> 00:07:43.680
So here's the quick rundown on uh Gemini's version, and these are called Gemini's Scheduled Actions.
00:07:44.000 --> 00:07:46.959
So let me just be honest, not that good.
00:07:47.120 --> 00:07:54.000
They're hard to find, they're buggy, it's extremely limited in terms of features and the user interface.
00:07:54.160 --> 00:07:57.360
And you also can't schedule via normal chat.
00:07:57.519 --> 00:08:02.240
And unfortunately, when you try to do that, you're actually gonna get some false positives.
00:08:02.560 --> 00:08:15.439
So the other downside is if you once you do get them scheduled, um, if you don't use them or check in on them, uh, they will be automatically disabled, which stinks, right?
00:08:15.600 --> 00:08:17.759
Um, so yeah, a lot of downsides.
00:08:17.920 --> 00:08:20.079
So here's how you're going to find them.
00:08:20.160 --> 00:08:24.319
So if you just go to gemini.google.com, make sure you're logged in.
00:08:24.399 --> 00:08:27.519
So if you're looking on the left-hand panel, they're not gonna be there.
00:08:27.680 --> 00:08:28.079
All right.
00:08:28.160 --> 00:08:40.000
So, you know, fortunately, uh Chat GPT and Claude did uh move these uh scheduled tasks for them, that's what they're called, front and center, on the main nav bar.
00:08:40.159 --> 00:08:42.720
So uh Google Gemini, no such luck.
00:08:42.799 --> 00:08:47.440
So you have to actually look in your settings, and there you'll see these scheduled actions.
00:08:47.600 --> 00:08:48.080
All right.
00:08:48.399 --> 00:09:00.320
So once you do that, um, then essentially you are met with a very simple and straightforward enough um scheduled action box where you just essentially type it in.
00:09:00.399 --> 00:09:06.080
So you give it a name, you give it instructions, you say how often, and then a time.
00:09:06.320 --> 00:09:08.480
And that's it, right?
00:09:08.559 --> 00:09:13.440
It's an extremely simple interface, no bells, no whistles.
00:09:13.600 --> 00:09:19.360
And the downside is well, it's not that useful, if I'm being honest.
00:09:19.519 --> 00:09:19.919
All right.
00:09:20.000 --> 00:09:28.399
Uh so next up, and I am gonna, I do have an example of you know, one kind of simple S uh prompt that I did.
00:09:28.480 --> 00:09:43.039
Um, and then at the very end, after I show you these examples, so yeah, this is one FYI and this is one is technically pre-recorded, uh, because it's gonna be it was a little difficult to, you know, go through uh all of my different systems without accidentally doxing myself.
00:09:43.200 --> 00:09:45.200
And also these are scheduled, right?
00:09:45.279 --> 00:09:51.440
So I didn't want to schedule these for, you know, oh, 745 and then oh, I'm done before then, right?
00:09:51.519 --> 00:09:54.559
Because you know, the live stream kicks off at 7:30 a.m.
00:09:54.720 --> 00:09:55.519
Central Standard time.
00:09:55.679 --> 00:09:59.919
Uh so it was gonna be a little tricky to try to get all these to schedule live and in real time.
00:10:00.080 --> 00:10:06.240
So yeah, this is one of those shows for AI at work on Wednesdays, normally very hands-on, doing live prompts, all that.
00:10:06.320 --> 00:10:12.000
So this is more of uh, you know, hey, I'm gonna show you how to cook, put it in the oven, and guess what?
00:10:12.080 --> 00:10:13.759
It's already done, got the cake ready.
00:10:13.919 --> 00:10:18.399
All right, so next up, let's talk about how ChatGPT's scheduling works.
00:10:18.720 --> 00:10:21.679
So theirs are called scheduled tasks.
00:10:21.840 --> 00:10:28.000
And again, I actually did a dedicated show uh on uh ChatGPT's scheduled tasks.
00:10:28.080 --> 00:10:35.519
Let me see what uh what one that was, because it was actually fairly recent because they went through some major changes.
00:10:35.679 --> 00:10:40.399
All right, so this was actually on July 1st, so episode 810.
00:10:40.480 --> 00:10:46.480
So I'm gonna go over the high levels, uh high level points for that, but it was actually a pretty in-depth episode.
00:10:46.559 --> 00:10:48.480
I remember I spent a good amount of time on it.
00:10:48.559 --> 00:10:54.720
Uh, so if you are a heavy chat GPT user, like a lot of people are, uh, make sure you go check out episode 810.
00:10:54.799 --> 00:10:56.080
But here's the gist.
00:10:56.320 --> 00:11:01.440
So tasks now support more agentic app actions, and that's the great thing.
00:11:01.600 --> 00:11:08.000
They also work inside of projects, and you can use memory for more personalized automation.
00:11:08.080 --> 00:11:09.440
That part's huge.
00:11:09.600 --> 00:11:22.159
Uh so you can access them directly from the sidebar, like I talked about before, or you can go to chatgbt.com/slash scheduled, and you can just create one by describing what you want ChatGPT to do in natural language.
00:11:22.320 --> 00:11:26.559
Like, you know, you can say scan my Gmail daily at 7 a.m.
00:11:26.720 --> 00:11:28.480
and tell me what's important.
00:11:29.679 --> 00:11:36.240
All right, but there's a lot more to uncover here because this is where ChatGPT really stands out.
00:11:36.399 --> 00:11:46.080
So a little um kind of hack, uh, you can go through the normal uh interface to set this up, or like I said, you can set it up conversationally.
00:11:46.240 --> 00:11:57.519
But what a lot of people don't understand is if you set this up conversationally, you actually have um some options that you don't have if you were to set it up in your normal scheduling routine.
00:11:57.679 --> 00:12:02.639
Uh, that's because, and I'm kind of looking on my on my other screen uh right now.
00:12:02.799 --> 00:12:16.480
So if you go into the scheduled section, um you're gonna see it's it's gonna look like a fairly uh a fairly normal prompt box inside of ChatGPT, except there's one or two things missing.
00:12:16.559 --> 00:12:20.159
And the big thing here is the model selector.
00:12:20.399 --> 00:12:30.240
So yeah, it's um, I believe what happens in the schedule task, it just is gonna default to the last model you used, which may or may not be a good thing.
00:12:30.480 --> 00:12:44.480
So I recommend um 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 chat GPT is smart enough where it's gonna do that.
00:12:44.639 --> 00:12:49.440
The main benefit there is well, you can choose the exact model you want.
00:12:49.600 --> 00:12:56.559
So maybe you want to use, you know, GPT 5.6 soul extra high, right?
00:12:56.799 --> 00:13:01.840
At least you have the ability to configure the exact level of reasoning that you need for something.
00:13:01.919 --> 00:13:04.799
Uh, because maybe it's a little simpler, right?
00:13:04.879 --> 00:13:11.120
Maybe it's more of a personalized search and you don't exactly need the most, you know, the smartest model.
00:13:11.200 --> 00:13:21.120
But if I'm being honest, it's one of those things where uh unless you're running out of limits on a ChatGPT Pro plan, which is pretty much impossible.
00:13:21.279 --> 00:13:28.240
Um, 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.
00:13:28.399 --> 00:13:30.799
So throw as much juice as you can at these things.
00:13:30.879 --> 00:13:35.120
Uh, so that's a little tip there with the scheduling tasks inside ChatGPT.
00:13:35.200 --> 00:13:44.960
Uh, the other one, a little hack, and for whatever reason, this doesn't always work because maybe it is truly a hack.
00:13:45.120 --> 00:14:02.799
But if you go into the new work tab inside of Chat GPT, okay, uh, 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 GPT desktop, which is called Chat GPT Work, which is kind of the same thing as codex.
00:14:03.120 --> 00:14:10.799
But then if you go to chat GPT.com, you'll see at the top now there's a new chat in a new uh work section.
00:14:10.960 --> 00:14:17.759
So the easiest way to tell the difference, because people are like, wait, when I go to chat gpt.com, do I use chat or do I use work?
00:14:17.919 --> 00:14:23.360
Well, the simplest way is well, use chat when you just want to chat or talk to Chat GPT.
00:14:23.440 --> 00:14:26.480
But if you want something more like an agent, use work.
00:14:27.039 --> 00:14:35.519
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.
00:14:35.600 --> 00:14:39.440
But if you get it to work once when scheduling your task, for me, it works over and over.
00:14:39.600 --> 00:14:47.919
But the cool thing in the work mode, it actually has its own virtual and dedicated computer and browser, which is awesome, right?
00:14:48.080 --> 00:14:55.679
So if there's anything that you normally have to do that requires a ton of interface clicking around, right?
00:14:55.840 --> 00:15:00.080
It could be from uh a website that you rely on every single day.
00:15:00.240 --> 00:15:06.080
It could just be a lot of, you know, web searching that you can't just do from reading a static page, right?
00:15:06.240 --> 00:15:15.919
Because a lot of times when these large language models, you know, quote unquote, use the web, they essentially just scan the code um of any given page, which should be helpful in most cases.
00:15:16.080 --> 00:15:19.600
But what if you have to, you know, scroll down to load more?
00:15:19.679 --> 00:15:25.279
Uh, what if you have to um you know click around a bunch and add filters, right?
00:15:25.360 --> 00:15:31.360
So think of all the web browsing that you do that maybe you haven't yet handed off um to an agent.
00:15:31.440 --> 00:15:33.360
And there's probably a reason for that.
00:15:33.519 --> 00:15:35.360
And this is awesome.
00:15:35.519 --> 00:15:38.399
So, you know, one quick example of something like this.
00:15:38.879 --> 00:15:40.879
I love Google Trends, right?
00:15:41.039 --> 00:15:45.759
So there's something in Google Trends, you go, you can put all these filters on, and then you have to scroll down.
00:15:45.840 --> 00:15:49.360
I like to see like what's trending in big tech in AI.
00:15:49.600 --> 00:15:52.879
And I realized, well, why am I doing that?
00:15:53.039 --> 00:15:53.279
Right.
00:15:53.360 --> 00:16:24.240
So that's something I went into Chat GPT, clicked the work, uh, did just a natural language, gave it the URL to that, you know, once I put all those filters on uh the Google trend, and then I said, Hey, every day at 9 p.m., go to this URL, scroll down to the bottom, uh, 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?
00:16:24.399 --> 00:16:29.279
Like uh yesterday something about the iPhone was trending and I didn't know why, right?
00:16:29.360 --> 00:16:39.200
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.
00:16:39.279 --> 00:16:41.440
I just wake up and I know, right?
00:16:41.519 --> 00:16:47.200
So that's actually something inside of Chat GPT that is very unique to it because uh, you know, Claude can't do that.
00:16:47.360 --> 00:16:50.639
Uh, you know, we're not talking co-pilot, co-pilot can't do that.
00:16:50.720 --> 00:16:53.679
And obviously, Gemini's schedule of actions can't do that.
00:16:53.759 --> 00:16:54.879
So big hack there.
00:16:55.039 --> 00:16:59.919
Um, another one that's very unique to Chat GPT is having these open-ended tasks.
00:17:00.080 --> 00:17:03.679
So this is something that uh OpenAI didn't even really highlight.
00:17:03.759 --> 00:17:06.799
Um, in I think it was technically late June that this came out.
00:17:06.960 --> 00:17:10.000
We covered it like the next day, I think it was like July 1st, right?
00:17:10.480 --> 00:17:16.720
Um, but you can now just say something like, you know, check my competitor's pricing page and tell me when it changes.
00:17:16.880 --> 00:17:19.920
You don't have to say check it every Tuesday or at this PM.
00:17:20.319 --> 00:17:24.559
I don't know how this magic works, but it just does, right?
00:17:24.720 --> 00:17:25.839
Uh, so that's really cool.
00:17:26.000 --> 00:17:28.559
You can also just give it open-ended tasks.
00:17:29.279 --> 00:17:29.920
All right.
00:17:30.240 --> 00:17:33.039
Um, so now I'm showing on my screen how that works.
00:17:33.200 --> 00:17:40.400
So on the left hand side, you have your um uh scheduled task there.
00:17:40.480 --> 00:17:50.960
Uh, then uh you can go in to the scheduled task, and like I said, you still get uh you know, you can use all your connectors, your skills, all of those drop down.
00:17:51.039 --> 00:18:04.160
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 um in natural language, give a time, a frequency, etc.
00:18:04.640 --> 00:18:07.359
Um, then you can go in and edit them.
00:18:07.440 --> 00:18:16.079
So if you when you do click that uh scheduled portion, or if you go to chat gpt.com/slash scheduled, uh, you can go in and edit it.
00:18:16.240 --> 00:18:23.200
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.
00:18:23.359 --> 00:18:25.920
But then from there, you can make any edits.
00:18:26.000 --> 00:18:34.799
Uh so if you remember the kind of old school uh GPT builder, you could just chat with Chat GPT and it would turn your chats into a set of custom instructions.
00:18:34.960 --> 00:18:37.200
Kind of the same thing happens here under the hood.
00:18:37.279 --> 00:18:41.759
So you can go in and update the end uh schedule task.
00:18:41.839 --> 00:18:49.759
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.
00:18:50.640 --> 00:18:53.759
All right, let's keep going and talk about clauds.
00:18:53.920 --> 00:18:58.319
So clauds are powerful, but a little confusing.
00:18:58.559 --> 00:19:00.160
Okay, and here's why.
00:19:00.319 --> 00:19:03.359
Uh, because you have your normal scheduled tasks.
00:19:03.519 --> 00:19:06.319
So again, this is all just Claude on the web.
00:19:06.640 --> 00:19:09.519
Okay, so I'm not talking, you know, codex desktop.
00:19:09.599 --> 00:19:13.920
I'm not talking about, you know, clawed desktop with Claude Code and Claude Cowork.
00:19:14.000 --> 00:19:15.759
Uh, I am talking about Claude on the web.
00:19:16.000 --> 00:19:23.200
But if you didn't know this, Claude on the web also changed a little bit, just kind of like how ChatGPT did, how you have chat in work.
00:19:23.279 --> 00:19:26.720
Uh, so now Claude has home in code.
00:19:26.880 --> 00:19:32.319
All right, so if you go to home, uh you can do schedule tasks that way.
00:19:32.400 --> 00:19:38.319
So you essentially can do a scheduled task in normal chat or in Claude cohort.
00:19:38.480 --> 00:19:39.359
Even more confusing.
00:19:39.440 --> 00:19:42.240
So there's technically like three different ways you can set this up.
00:19:42.400 --> 00:19:46.720
Uh, but uh the other way is a routine.
00:19:46.880 --> 00:19:51.680
So if you click on the Claude Code button, you can set up a routine.
00:19:51.759 --> 00:19:55.599
And I'm gonna quickly tell you uh the difference here in the pros and the cons.
00:19:55.759 --> 00:20:06.400
For for Claude's scheduled tasks, um, that's just the uh it is very much the equivalent of the ChatGPT version, which is like chat and work, right?
00:20:06.480 --> 00:20:11.359
So if you need something that's just more straightforward, you know, just use the the home.
00:20:11.440 --> 00:20:16.319
Uh, if you need something that's a little more technically uh agentic, you can click the co-work tab.
00:20:16.480 --> 00:20:25.119
But you can also, just like you can in Chat GPT, you can create a scheduled task just conversationally with Claude, or there is a manual uh setup.
00:20:25.279 --> 00:20:28.400
Uh, the cool thing about Clauds is you can work in a project.
00:20:28.559 --> 00:20:40.480
You can also set an approval level per task because um, as an example, all right, if if you're giving it send actions for the first time it runs, you might want to approve those.
00:20:40.640 --> 00:20:45.039
Uh, I don't fully understand uh if you're trying to schedule, right?
00:20:45.200 --> 00:20:53.440
I kind of scratched my head on this because I'm like, okay, why would you actually want uh you know to like manually approve everything if it's on a schedule, right?
00:20:53.519 --> 00:20:58.480
Like if you have 10 of these things running overnight, why would you not rent them auto-approved?
00:20:58.640 --> 00:21:01.359
So I guess in theory, it's a nice feature.
00:21:01.599 --> 00:21:04.160
I just literally don't know the point of it.
00:21:04.319 --> 00:21:05.839
But, anyways, it's there.
00:21:06.000 --> 00:21:11.279
Maybe if you just want to run it once in front of you to see how it works, maybe that's what it's there for.
00:21:11.440 --> 00:21:20.480
Um, otherwise, it's extremely counterintuitive to schedule something, but then oh, it's not gonna fully run because you had to approve it.
00:21:20.720 --> 00:21:26.400
Anyways, uh, you can also choose the model, but you cannot unfortunately choose the reasoning level.
00:21:26.559 --> 00:21:37.440
You can set the frequency, it doesn't have a custom uh version like ChatGPT, but you can also uh use connectors and skills like you can in Chat GPT.
00:21:37.599 --> 00:21:39.759
But then you have these scheduled routines.
00:21:39.839 --> 00:21:42.079
And I actually did this, let me see.
00:21:42.160 --> 00:21:46.240
This this show was a little uh a little longer ago.
00:21:46.400 --> 00:21:47.599
Let me see when I did this.
00:21:47.680 --> 00:21:50.240
This scheduled uh routines.
00:21:50.400 --> 00:21:54.799
Yeah, this is live all or you know, unedited, unscripted at last uh at least.
00:21:55.039 --> 00:21:56.799
So let's see when I did this show.
00:21:56.960 --> 00:22:03.839
Um so this was Okay, this was episode 756.
00:22:04.559 --> 00:22:18.240
Um, this was in April, but these are all uh still very, very relevant because um, you know, we went over this was technically through the scope of Claude Desktop, but it kind of works the exact same.
00:22:18.319 --> 00:22:25.759
But we talked in depth about the differences uh between these scheduled tasks and the routines in Claude Code.
00:22:25.839 --> 00:22:32.319
But the difference on the routine, um, right, is well, you can actually sync those with your desktop.
00:22:32.400 --> 00:22:40.799
Uh so if you set up a Claude schedule task, it's not gonna sync inside Claude um desktop.
00:22:40.960 --> 00:22:47.200
So the only way you can do it is with a Claude Code routine, and then you uh have to choose the cloud version.
00:22:47.359 --> 00:22:55.680
So um on codex, uh right on the desktop version, uh, if you're using ChatGPT work to schedule, it'll all sync.
00:22:56.000 --> 00:22:59.440
Uh so why would you use Claude's scheduled routines?
00:22:59.519 --> 00:23:04.000
And I'll just give you the 30-second version of uh episode 756.
00:23:04.160 --> 00:23:05.440
I think they're really, really good.
00:23:05.519 --> 00:23:15.440
Um, they're more powerful, and I think a lot of people, especially non-technical people, are gonna look at like claude routines and be like, uh, Claude code and be like, I'm not touching those, right?
00:23:16.319 --> 00:23:21.200
You're gonna say there's enough with with skills and all these other things and and co-work, right?
00:23:21.279 --> 00:23:22.640
That's technical enough for me.
00:23:22.880 --> 00:23:25.680
The claw clawed routines are super simple.
00:23:25.839 --> 00:23:31.519
The you know, you you don't even really have to use clawed code to go in and use clawed routines.
00:23:31.680 --> 00:23:41.519
Um, the the the biggest um kind of benefit is you can use um essentially an API token as a trigger.
00:23:41.599 --> 00:23:44.000
Uh so what that means, it's very simple.
00:23:44.160 --> 00:23:49.599
Uh, you can choose that, and I have a screenshot of that later so I can uh walk through.
00:23:50.000 --> 00:23:51.279
Oh, I have it right here.
00:23:51.440 --> 00:23:57.920
Um, so essentially, if you choose that as an option, you're gonna get essentially an API token.
00:23:58.079 --> 00:24:00.480
All right, and then you can go to something like Zapier.
00:24:00.720 --> 00:24:11.680
Um, and you can use that to essentially connect anything in Zapier and have that be a trigger to start something in a Claude routine, which is really cool, right?
00:24:11.759 --> 00:24:26.880
Because as an example, you know, in ChatGPT, they actually used to have this, I believe, in Codecs, but then they kind of simplified and unified uh the the codecs in ChatGPT uh they used to be called automation, so now they're just called schedule tasks.
00:24:27.039 --> 00:24:29.039
Anyways, this used to be available in codecs.
00:24:29.119 --> 00:24:33.119
I don't believe it is anymore, but this is great in uh claude routines.
00:24:33.279 --> 00:24:44.400
So, as an example, you can set anything uh that happens in Zapier as a trigger to start um to start a routine inside of Claude code.
00:24:44.559 --> 00:24:46.400
Again, you don't have to be super technical.
00:24:46.559 --> 00:24:50.559
You can literally just give it to Claude and be like, walk me through this, um, right.
00:24:50.720 --> 00:24:57.519
But uh that's super valuable because otherwise, every other thing has to start at a certain time, right?
00:24:57.599 --> 00:25:07.759
So maybe I don't know, you you have a super uh you know, um highly valuable uh form on your company's website, right?
00:25:07.839 --> 00:25:14.640
Uh when someone comes in, it's a potential million dollar client, and you want to be able to start doing some legwork right away when it comes in.
00:25:14.799 --> 00:25:18.640
Obviously, you can't do a schedule task on that because you have no clue.
00:25:18.799 --> 00:25:26.880
But in this case, right, you can set this up inside Claude Code, takes like 30 seconds, choose that as an option, you're gonna get this key.
00:25:27.119 --> 00:25:32.880
Then you go into Zapier, you know, whatever it is for using a Google form, Jot form, whatever.
00:25:33.039 --> 00:25:35.920
Uh, you know, then you're gonna get this key, plug it into Zapier.
00:25:36.079 --> 00:25:44.319
And then anytime that web form comes in, then that routine is going to start inside of Claude Code once it kind of sends to that API token.
00:25:44.480 --> 00:25:49.920
So uh a nice unique feature there inside the uh scheduled routines.
00:25:50.480 --> 00:25:53.440
All right, so uh that's kind of the gist of it.
00:25:53.519 --> 00:25:59.759
And I'm gonna go through now and uh I'm gonna share my screen for our live stream audience and podcast audience.
00:25:59.839 --> 00:26:04.160
You can always go to our website at your everydayai.com if you want to see the video version of this.
00:26:04.319 --> 00:26:07.839
Nothing super visual, and I'll kind of explain what's going on.
00:26:08.000 --> 00:26:08.799
Um, right.
00:26:08.880 --> 00:26:15.359
And or you can always check the show notes and we uh do uh put a link directly to today's episode.
00:26:15.519 --> 00:26:19.680
All right, so uh let's talk about what our test actually was.
00:26:19.839 --> 00:26:22.319
So this one was simple-ish.
00:26:22.960 --> 00:26:23.759
Um, right.
00:26:24.240 --> 00:26:34.640
The downside is because Google Gemini uh is not good at even using its own connectors like Gmail.
00:26:34.799 --> 00:26:44.960
Um, I was trying to find something that I thought in theory uh could be a very um, you know, apples to apples comparison and something maybe realistic.
00:26:45.119 --> 00:26:48.400
And also, this is something that I wanted to build anyways.
00:26:48.559 --> 00:26:54.400
Um, so I said, all right, let's just throw a simple schedule prompt um and talk about the use case of this.
00:26:54.640 --> 00:26:58.960
So um, you know, I said every day at blank o'clock, right?
00:26:59.039 --> 00:27:02.720
Uh, because I spaced these out a little bit, but I gave it the same thing.
00:27:02.799 --> 00:27:12.000
Uh so I said, every day at this time, please put together an interactive either site or artifact or canvas, uh, because they all call them something different.
00:27:12.079 --> 00:27:13.839
But this is essentially an interactive visual.
00:27:13.920 --> 00:27:16.640
And in some it worked and some it didn't, and I'll show you that.
00:27:16.799 --> 00:27:36.480
Um, so at every day at uh 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, uh, Taiwan Semiconductor, Micron Technologies, uh, AMD, Oracle, Palantir.
00:27:36.559 --> 00:27:44.960
Uh, also, please include an up-to-date factual bullet point recap for each that explains the biggest news for each of these companies.
00:27:45.200 --> 00:27:57.680
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.
00:27:57.920 --> 00:28:11.279
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 a company stock will shoot up five percent or drop five percent, which is very rare.
00:28:11.359 --> 00:28:15.680
And a lot of times it has to do with something that's happening in AI, as an example.
00:28:15.839 --> 00:28:34.400
You know, Alphabet slash, you know, the parent company of Google uh announced a major uh AI leadership change um, you know, a couple of days ago, and their stock dropped like five percent, which for a multi-trillion dollar market cap company is an insane amount of money, right?
00:28:34.480 --> 00:28:39.359
So sometimes I just want to be able to see at a glance what's happening with all these big AI companies.
00:28:39.519 --> 00:28:43.920
And you know, essentially if I see a 3% up or down, that's kind of my threshold.
00:28:44.079 --> 00:28:49.279
Then I know that something meaningful is happening probably in AI around news.
00:28:49.440 --> 00:28:51.759
So this is something I kind of wanted to build for myself.
00:28:51.839 --> 00:28:54.880
But the thing is, well, it refreshes all the time.
00:28:54.960 --> 00:28:58.000
So that's the good thing with this being a scheduled right.
00:28:58.079 --> 00:29:04.559
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.
00:29:04.799 --> 00:29:10.400
All right, so let's go ahead and look at the results.
00:29:11.039 --> 00:29:12.880
Let's share my screen here.
00:29:13.119 --> 00:29:18.720
All right, so Google Gemini first and Google Gemini kind of failed.
00:29:18.880 --> 00:29:20.880
All right, so what's interesting?
00:29:21.039 --> 00:29:24.000
So I did say use canvas mode.
00:29:24.240 --> 00:29:26.400
Um it didn't.
00:29:26.720 --> 00:29:47.119
So um I do believe I could be mistaken, but I do believe when you used to have uh the um scheduled actions um here inside of uh Google Gemini, I thought you used to be able to use some of the other features, specifically uh the canvas mode.
00:29:47.519 --> 00:29:50.240
Uh, but in this case, it didn't work.
00:29:50.480 --> 00:29:52.640
Um so that's interesting.
00:29:52.799 --> 00:29:55.440
It did, however, go out and do the rest.
00:29:55.519 --> 00:29:58.160
So it actually fired at the correct time.
00:29:58.319 --> 00:30:00.640
So I did this one at 5 15 p.m., right?
00:30:00.720 --> 00:30:02.480
So after the markets closed.
00:30:02.640 --> 00:30:08.799
Um, so it got the correct prices for NVIDIA, and then it gave me the key news, alphabet, Microsoft, etc.
00:30:09.200 --> 00:30:23.039
So it did fire at the correct time, it followed instructions, um, it uh, you know, got the correct prices, but it didn't put together a visual uh that I wanted to use in Canvas mode, right?
00:30:23.119 --> 00:30:34.079
I could go down here um and I could say, right, I'll actually do this just so we can actually just make it at least give Google and Gemini a chance because otherwise I'm just ragging on Gemini this entire time.
00:30:34.240 --> 00:30:37.759
So I'm gonna say, uh, you know, using all this info.
00:30:38.640 --> 00:30:39.039
All right.
00:30:39.119 --> 00:30:44.400
So yeah, unfortunately, I'm gonna have to um put together a two-step one on this.
00:30:44.559 --> 00:30:53.759
So uh this is where I also wanted to, you know, test out and say, hey, what other features um are available when you're scheduling a task?
00:30:53.839 --> 00:30:59.119
Because sometimes uh uh feet features or modes make all the difference.
00:30:59.279 --> 00:31:04.000
It's the difference between, you know, using your data and not using your data, uh, right?
00:31:04.079 --> 00:31:14.079
Like spoiler alert, one of the reasons I'll I've never really used uh Google Google Gemini's uh scheduled tasks is because they don't use your connected data, right?
00:31:14.160 --> 00:31:16.640
So it's like for me, it's not super useful.
00:31:16.799 --> 00:31:21.519
And in this case, it wasn't able to use the mode um for Canvas.
00:31:21.680 --> 00:31:25.279
All right, next, let's go ahead and take a look.
00:31:26.240 --> 00:31:28.240
Uh let's take a look at Claude.
00:31:28.799 --> 00:31:30.480
So uh same thing.
00:31:30.640 --> 00:31:35.039
Um, I did tell it to use an artifact.
00:31:35.279 --> 00:31:37.839
It however didn't.
00:31:37.920 --> 00:31:43.680
So it just wrote some strict HTML, but I don't know.
00:31:43.839 --> 00:31:47.759
Um, I'm not gonna say it's a failure because it looks good enough, uh, right?
00:31:47.839 --> 00:31:54.160
It actually put together a uh very clean uh, you know, it says AI stocks daily.
00:31:54.240 --> 00:31:55.519
It's interactive, right?
00:31:55.599 --> 00:31:58.240
It has a light mode, a dark mode.
00:31:58.319 --> 00:32:04.640
Uh, it gave me very clear ticker symbols, uh, the percentage that they're up and down on the day, right?
00:32:04.720 --> 00:32:06.720
Like here I see Google is down 3%.
00:32:07.359 --> 00:32:10.640
So I can click there and see what happened, right?
00:32:10.720 --> 00:32:18.319
So it said, you know, Tuesday it fell uh, you know, 3.8% amid a rotation of high valuation mega cap tech.
00:32:18.640 --> 00:32:22.720
It says investors remain uneasy about AI spending, right?
00:32:22.799 --> 00:32:29.359
As their capex guidance was uh about 200 billion, uh, and their capex was up 100% year over year.
00:32:29.519 --> 00:32:33.359
So this for me, this is all really helpful stuff to read, right?
00:32:33.519 --> 00:32:37.920
So when I'm talking about AI things, I you know can ground it in a little more recent data.
00:32:38.079 --> 00:32:43.839
Uh, there's also this button that it says, you know, uh expand all news, collapse all news, which is really nice.
00:32:44.000 --> 00:32:48.160
So it didn't technically make it like a shareable artifact.
00:32:48.319 --> 00:32:53.039
Um, but overall, you know, it it did it did pretty good.
00:32:53.279 --> 00:32:59.440
Um so uh Gemini, you know, probably failure.
00:32:59.599 --> 00:33:04.400
Uh you know, uh Claude got a passing grade, but not ideal.
00:33:04.640 --> 00:33:07.519
But let's take a look at Chat GPT.
00:33:07.759 --> 00:33:10.480
So my gosh, this one's good.
00:33:10.640 --> 00:33:10.960
All right.
00:33:11.039 --> 00:33:20.880
So yeah, if if if you're not looking um at the live stream here, this is one of those ones where you know, sometimes I'm like, oh yeah, it's cool.
00:33:20.960 --> 00:33:22.480
This one's really good.
00:33:22.640 --> 00:33:23.839
This one's really good.
00:33:24.000 --> 00:33:27.119
All right, for a zero shot prompt, right?
00:33:27.200 --> 00:33:28.640
I read it to you, super simple.
00:33:28.880 --> 00:33:31.200
Um did a fantastic job.
00:33:31.279 --> 00:33:35.359
So I used ChatGPT sites, which by the way is a freaking cheat code.
00:33:35.519 --> 00:33:38.960
Like, if you're not using ChatGPT sites, it is in ChatGPT now.
00:33:39.039 --> 00:33:43.599
It used to only be available um inside of uh codecs.
00:33:43.680 --> 00:33:46.799
It used to only be available for team plans.
00:33:46.960 --> 00:33:51.519
Now it's available even on the web and it's available on individual paid plans as well.
00:33:51.680 --> 00:33:56.000
If you're not using ChatGPT sites, I'm just saying this, you're literally missing out.
00:33:56.319 --> 00:33:58.559
I make them all the time, right?
00:33:58.640 --> 00:34:04.400
I have custom skills uh to make a lot of them in kind of a templated way that really work for me.
00:34:04.559 --> 00:34:06.720
Uh, I send them to my wife, right?
00:34:06.799 --> 00:34:08.000
Because you can make them public.
00:34:08.159 --> 00:34:12.639
Uh, anyways, let's take a look at what uh ChatGPT sites did.
00:34:13.199 --> 00:34:17.679
Uh first of all, visually, fantastic, right?
00:34:17.840 --> 00:34:19.039
It gave me this breakdown.
00:34:19.280 --> 00:34:22.400
You know, it says four of the 10 advanced, six of the 10 declined.
00:34:22.480 --> 00:34:25.840
It gave me what's called an AI basket pulse, which is pretty cool.
00:34:25.920 --> 00:34:29.840
So it said overall, it was down 0.6% across 10 companies.
00:34:29.920 --> 00:34:33.280
So I can see overall, you know, how are these things moving?
00:34:33.599 --> 00:34:35.920
Give me the winners, the losers, uh, right?
00:34:36.000 --> 00:34:38.559
I can click on the biggest moves, the winners first.
00:34:38.639 --> 00:34:41.679
Uh, I can create a watch list, uh, which is pretty cool, right?
00:34:41.760 --> 00:34:44.159
I can toggle this little star on and off.
00:34:44.239 --> 00:34:53.039
Um, and then when I click on any of these, um it then brings the uh all of the news that mattered.
00:34:53.119 --> 00:34:54.000
So let's find another.
00:34:54.079 --> 00:34:55.360
We already talked about Google.
00:34:55.519 --> 00:35:01.199
Or no, actually, let's let's click Google and see if it gave me similar uh reasons that Google was down almost 4%.
00:35:01.599 --> 00:35:09.920
So it says Alphabet reported Q2 revenue of 120 billion, up 24% year over year, search search and other revenue rose 17%.
00:35:10.400 --> 00:35:20.000
Uh Google Cloud revenue grew 82%, and backlog reached 514 billion with management attributing the acceleration to AI infrastructure and AI solutions.
00:35:20.079 --> 00:35:21.920
Uh, so I will say this.
00:35:22.239 --> 00:35:25.360
Uh, it pulled some older news, right?
00:35:25.519 --> 00:35:32.239
So uh if I were to redo this, uh obviously the ChatGPT one did the best, uh, but it pulled in some older news.
00:35:32.400 --> 00:35:37.519
Uh, I don't know if the Google one, it didn't give me the date of the news.
00:35:37.679 --> 00:35:41.840
Um, but I'm guessing this news was maybe a little more recent.
00:35:41.920 --> 00:35:42.880
I'm not sure.
00:35:43.039 --> 00:35:49.599
Uh, but from a visual uh UI UX perspective, it's just much better, right?
00:35:49.760 --> 00:35:57.519
I'm actually gonna go through and uh, you know, probably make one or two changes in this and you know, make it mobile optimized.
00:35:57.679 --> 00:36:02.719
And the good thing is, is then all I do, you know, on my phone, I can essentially save this as an app.
00:36:02.800 --> 00:36:10.239
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.
00:36:10.480 --> 00:36:20.079
So um yeah, overall, uh I think they all had their own strengths, right?
00:36:20.159 --> 00:36:21.280
Uh, let's take a look.
00:36:21.360 --> 00:36:22.639
Um, going back over.
00:36:23.760 --> 00:36:27.119
Uh, sure enough, uh, we had another error.
00:36:27.280 --> 00:36:30.159
Um, another error in uh Google Gemini.
00:36:30.320 --> 00:36:30.719
That's fine.
00:36:30.800 --> 00:36:35.679
I really try to give uh Gemini in Canvas mode, uh, which I've always loved their canvas mode.
00:36:35.760 --> 00:36:36.400
I think it's really good.
00:36:36.480 --> 00:36:36.960
There we go.
00:36:37.119 --> 00:36:38.960
Uh so now it's working.
00:36:39.920 --> 00:36:40.960
Is it okay?
00:36:41.119 --> 00:36:41.599
Interesting.
00:36:41.760 --> 00:36:43.440
So it went a completely different direction.
00:36:43.599 --> 00:36:48.000
Give me kind of bar charts, uh, you know, prices, quarter two growth, capex.
00:36:48.400 --> 00:36:50.880
Uh so you know, it actually looks nice.
00:36:50.960 --> 00:36:55.760
Uh some nice features and functionalities, not exactly what I was expecting.
00:36:55.920 --> 00:37:00.000
Uh, but then okay, when I scroll down, uh, I think it does a pretty good job.
00:37:00.079 --> 00:37:01.360
Let's read Google.
00:37:01.599 --> 00:37:06.320
Um, so it says uh executive recap summary.
00:37:06.639 --> 00:37:10.480
Although the Google, it's not right, right?
00:37:10.639 --> 00:37:18.159
Uh, because it says it's it's up one percent, uh almost one percent for the day, which um I don't believe it was right now.
00:37:18.239 --> 00:37:21.199
I now I have to double check uh to make sure.
00:37:21.360 --> 00:37:23.360
Yeah, Google was down almost four percent.
00:37:23.519 --> 00:37:30.880
So Google was wrong about the actual uh day, so that kind of ruins it, right?
00:37:30.960 --> 00:37:37.599
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?
00:37:37.679 --> 00:37:47.760
But yeah, uh Google was actually down you know, three point, you know, roughly seven percent, which the other uh models got correct, and Google unfortunately got it wrong.
00:37:47.840 --> 00:37:54.000
So even though you know it did finish the dashboard with multiple prompts, and get a fail, Google.
00:37:54.079 --> 00:37:54.800
We get a fail.
00:37:54.880 --> 00:37:55.280
All right.
00:37:55.519 --> 00:37:59.360
So let's wrap up here and talk about my takeaways.
00:37:59.440 --> 00:38:02.159
So overall, Gemini, not useful at all.
00:38:02.320 --> 00:38:04.320
It struggles using its own connectors.
00:38:04.400 --> 00:38:11.519
Uh essentially, the only thing that it's really useful for is to customize web search for you.
00:38:11.679 --> 00:38:17.360
Uh, but even like you saw here, when in my again, my one example, it pulled in incorrect information.
00:38:17.519 --> 00:38:20.639
So uh I haven't used Google's, right?
00:38:20.719 --> 00:38:26.480
Aside from when I test these things, I haven't used Google's um scheduled actions.
00:38:26.559 --> 00:38:27.840
I hope they improve them.
00:38:27.920 --> 00:38:28.400
Uh, right.
00:38:28.480 --> 00:38:37.360
We'll see uh when uh we get a whether it's a Gemini 3.7 Pro, Gemini 3.5 Pro, Gemini 4 Pro, whatever.
00:38:37.440 --> 00:38:40.559
Uh hopefully they bring some updates to the Gemini web platform.
00:38:40.639 --> 00:38:42.559
They did go through a UI UX update.
00:38:42.639 --> 00:38:46.400
So hopefully these scheduled actions uh get some love as well.
00:38:46.480 --> 00:38:58.320
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.
00:38:58.400 --> 00:39:00.639
Um, because otherwise, really not useful.
00:39:00.719 --> 00:39:01.199
Uh all right.
00:39:01.280 --> 00:39:04.639
My main Chad GPT takeaway is it's really good.
00:39:04.800 --> 00:39:09.440
There's a lot of unique benefits, like the, you know, the anytime scheduling, right?
00:39:09.519 --> 00:39:14.800
Uh just hey, go check when this happens and it somehow figures it out without you having to schedule it.
00:39:14.960 --> 00:39:19.599
Um, using work mode with the virtual computer and browser is really good.
00:39:19.840 --> 00:39:24.480
Um, the custom schedule the others don't have, like if you say like every other Tuesday, right?
00:39:24.559 --> 00:39:27.920
You can't do that um in Claude or in Gemini.
00:39:28.239 --> 00:39:38.639
Uh having an end date is a unique feature as well in ChatGPT because maybe as an example, you want to run it every single day for two weeks, but then you don't want it to keep running and clog up your feet.
00:39:38.719 --> 00:39:39.599
Uh, it's great.
00:39:39.760 --> 00:39:51.519
I think ChatGPT, uh, their schedule tasks more than any others are great at contextualizing um your history or contextualizing your schedule task in your data and history, right?
00:39:51.599 --> 00:39:55.679
I forgot the technical uh update for ChatGPT's memory.
00:39:55.760 --> 00:39:58.480
I think it's called like Dream V3 or something.
00:39:58.719 --> 00:40:03.920
It is so much better, so much better than you know anyone else out there.
00:40:04.079 --> 00:40:05.440
It's not even close.
00:40:05.599 --> 00:40:08.719
Um, I again don't know how OpenAI does it.
00:40:08.800 --> 00:40:11.920
Um, but that actually really comes into play.
00:40:12.079 --> 00:40:22.639
Um, 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 and history from everything that ChatGPT or Claude knows about you.
00:40:22.800 --> 00:40:34.000
So unfortunately, right, like if you're doing the Claude routine, uh, which is really helpful, Claude Routine has no clue what you've been doing in Claude Chat or in Claude cowork.
00:40:34.159 --> 00:40:38.000
So you can't wrap it in that extremely important business context.
00:40:38.239 --> 00:40:43.280
All right, ChatGPT, you can also use your connectors and plugins and skills, which is really cool.
00:40:43.519 --> 00:40:48.159
Um and then, like I said, being able to tap into the full power of ChatGPT.
00:40:48.239 --> 00:40:54.639
So both in the reasoning levels is extremely important and helpful, or being able to use the sites feature, right?
00:40:54.719 --> 00:40:57.519
Having that sites feature that just updates all the time, amazing.
00:40:57.679 --> 00:41:03.199
All right, so now let's talk about Claude, the home or the chat scheduling takeaway.
00:41:03.360 --> 00:41:06.480
So more straightforward, but it works, right?
00:41:06.639 --> 00:41:09.840
Unlike Google, you can use all your connectors, which is good.
00:41:10.000 --> 00:41:13.039
Being able to set the permissions, even though I don't fully understand that.
00:41:13.119 --> 00:41:16.000
If you want to run it once as a test, maybe that's helpful.
00:41:16.239 --> 00:41:28.960
Overall, straightforward, nothing, you know, there's no standout features in the um kind of home or co-work scheduling, but there is um in the other version in the routines.
00:41:29.039 --> 00:41:35.199
So in the routines, there's a lot of, you know, I already went over the um kind of the two, well, two unique features.
00:41:35.280 --> 00:41:36.320
I didn't mention the other one.
00:41:36.400 --> 00:41:48.159
The one is being able to kind of have that API token um 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.
00:41:48.320 --> 00:41:50.559
Like I said, don't be scared of clawed code.
00:41:50.639 --> 00:41:54.159
You don't even have to use anything else in Claude Code, uh, right?
00:41:54.320 --> 00:42:01.519
You can just think of it like a normal chat, but you can kick off um a routine based on literally anything that happens on the web.
00:42:01.599 --> 00:42:13.840
Just go in Zapier, you know, take that API token and say anything that happens in the 6,000 platforms that Zapier um connects with, send it to this API token, and then you can kick off any routine.
00:42:14.000 --> 00:42:20.159
Uh, a great um a great use case and something unique for all of the others when it comes to scheduling your work.
00:42:20.320 --> 00:42:32.559
And then the other one, which is a small one, um, inside clawed um clawed code routines, you can also set routine level messaging alerts, which sounds like, okay, why does it matter?
00:42:32.719 --> 00:42:39.519
Um, you know, in ChatGPT and uh Gemini, you can set notifications for all of them, but not at the individual level.
00:42:39.599 --> 00:42:49.039
So one of the reasons why that's helpful, uh, right, is you can, as an example for a certain routine that runs, you can send a Slack message, uh, you know, which is pretty helpful.
00:42:49.280 --> 00:42:49.760
All right.
00:42:49.920 --> 00:42:52.639
So, like I said, there's pros and there's cons.
00:42:52.800 --> 00:43:00.480
I think overall, um, ChatGPT is the winner with a close second to the routines scheduling of Claude.
00:43:00.639 --> 00:43:07.440
I wish Claude would just be able to unify those somehow and bring some of those better features in routines into their schedule tasks.
00:43:07.599 --> 00:43:10.559
But uh, hey, if you split it up, you can still get the power.
00:43:10.639 --> 00:43:16.559
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.
00:43:16.639 --> 00:43:21.280
Otherwise, you may spend more time going back and adjusting them and making them better, anyways.
00:43:21.599 --> 00:43:24.800
All right, so what should you schedule as we wrap here?
00:43:24.960 --> 00:43:29.679
Well, I would ask Codecs or ChatGPT work first, right?
00:43:29.760 --> 00:43:45.039
Uh unfortunately, Claude Code doesn't have cross-chat or cross-co-work code memory, um, but uh unless it commits something to memory, but I would go through and spend time seeing what you actually do manually inside of these platforms.
00:43:45.199 --> 00:43:47.519
From there, find those repetitive tasks.
00:43:47.599 --> 00:43:49.039
That's what you should be scheduling.
00:43:49.199 --> 00:44:02.320
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?
00:44:02.480 --> 00:44:12.320
The biggest thing is being able to do these things that are time intensive, whether it's research for the Chat GPT work hack that I told you, clicking around on a bunch of websites, right?
00:44:12.480 --> 00:44:23.199
See where you're spending your most time, either manually pushing the buttons in Gemini, in ChatGPT, in Claude, turn those into scheduled tasks, or just where are you spending a lot of your time on the internet?
00:44:23.519 --> 00:44:24.719
The internet's a wasteful place.
00:44:24.880 --> 00:44:26.000
Don't spend time there.
00:44:26.239 --> 00:44:26.480
All right.
00:44:26.559 --> 00:44:31.199
And then last but not least, the other one is start with this simple triage dashboard, right?
00:44:31.280 --> 00:44:33.280
That's updated every single day.
00:44:33.440 --> 00:44:55.119
It's obviously only going to work in Chat GPT and Claude, uh, but you know, bringing in your you know connectors for mail, calendar, Slack, Teams, your CRM, your major KPIs, your most used connectors, MCPs, etc., being able to automatically have an agent go through, pull all the most important things, and essentially have a start here dashboard, right?
00:44:55.199 --> 00:44:57.679
It's a very, you know, simple use case.
00:44:57.840 --> 00:45:04.960
Maybe that's the 2026 version of like the 2024, uh, you know, improve this email, right?
00:45:05.039 --> 00:45:11.119
Probably in 2026, it's essentially having a custom dashboard and triaging everything and telling you where to start.
00:45:11.280 --> 00:45:17.760
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.
00:45:17.920 --> 00:45:20.960
All right, that is a wrap, y'all.
00:45:21.119 --> 00:45:30.079
Uh, so remember, if you haven't already, we're gonna be kicking off going back to school with our start here series uh starting Monday.
00:45:30.159 --> 00:45:31.039
So don't be late.
00:45:31.199 --> 00:45:32.079
I'll see you then.
00:45:32.239 --> 00:45:37.679
And if you haven't already, please go to your everydayai.com, sign up for the free daily newsletter.
00:45:37.760 --> 00:45:38.400
Thanks for tuning in.
00:45:38.480 --> 00:45:41.039
We'll see you back tomorrow in every day for more everyday AI.
00:45:41.119 --> 00:45:42.079
Thanks, y'all.
