Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 733: 7 New AI Features To Save you Time: From Excel to Google Workspace and AI Agents
Episode Date: March 13, 2026Who will win the AI race in 2026? 🏇Will Google finally catch OpenAI in users? Has Claude surpassed ChatGPT in capabilities? And.... how can your company avoid the AI battles and just pick its lan...e? So many AI questions. We've got your AI answers. As part of our ongoing 'Start Here Series' we tackle one of the most important questions for most enterprises: Who will win the AI race and how do you decide? The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Gemini AI in Workspace OverviewGemini “Help Me Create” Mode FeaturesPerplexity Personal Computer Secure AI AgentOpenAI ChatGPT Skills Workflow IntegrationMicrosoft Copilot Cowork Autonomous Agent LaunchExcel, Word, PowerPoint Agentic Updates ExplainedChatGPT Excel Add-in for Dynamic Financial DataAnthropic Claude Code Scheduled Task AutomationTimestamps:00:00 "AI Updates You Need"04:04 AI Advancements in Productivity Tools06:56 "Gemini Enhances Google Workspace Features"11:02 "Perplexity Computer Updates and Features"14:31 "Microsoft Adopts Anthropic's Cowork Tech"19:37 "Copilot: Grounded AI for Teams"22:21 "GPT-4 Excel Add-In Launch"25:44 "ChatGPT Skills Explained"30:17 "OpenClaw's Autonomous Scheduling Appeal"31:44 "Keep Your Mac Always Active"35:03 "2026 AI Roadmap & Recap"Keywords: Google Gemini, Google Workspace, Docs AI, Sheets AI, Slides AI, Drive AI, Help Me Create mode, Retrival Augmented Generation, Vector database, Live Google data, AI-powered spreadsheets, Microsoft Copilot, Copilot Cowork,Word AI, PowerPoint AI, Copilot Notebook, GPT 5-4, ChatGPT Excel integration, Real-time financial data, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.
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This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips.
Listen daily for practical advice to boost your career, business, and everyday life.
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So much of the value that many of us get from AI isn't always the huge model releases.
Usually it's the smaller updates under the hood changes and feature updates that normally
don't get much attention.
The big new AI model updates probably do get your attention, but you don't have hours
each day to sift through the smaller yet very impactful AI drops.
I do. And that's what this new series is about. For now, we're calling it Friday features,
a weekly roundup of the smaller AI updates that will make a big difference in your work.
It's a practical and actionable weekly guide to point you in the direction of what's new
and how you can start benefiting now. So here's our problem, at least at every day AI,
and trying to keep you up to date. We do our big AI News That Matters Recap,
on Mondays going over the top news stories and then our hands-on show called AI at Work on
Wednesdays where we dive deep into one new release.
But between those two weekly segments, I've realized that our audience was kind of left out
in the dark on the majority of AI feature updates that were actually useful, hence this new
show.
So let me know if you like it, but here's what we're going to cover on today's show.
How in you're going to learn if you stick around for the next.
20 to 25 minutes. It's going to be a faster one.
How Google just made the biggest update to docs, sheets, slides, and drives that they've had in years.
How perplexity is trying to redefine what a personal computer even means in 2026.
How open AI quietly gave teams a way to stop repeating themselves in every single chat, GPT
conversation, and why three different companies just shipped AI directly inside spreadsheets this week and what that signals.
All right.
You ready to get into it?
I am.
Let's go.
Welcome to Everyday AI.
My name's Jordan Wilson and, well, if you're new here, it's things for you.
Unedited, unscripted daily live stream podcast and free daily newsletter,
helping you make sense of the AI chaos.
We tell you what's important, what's not, and help you put it to work.
So if that's exactly what you're trying to do, welcome.
It starts here.
But make sure you go to our website at Your EverydayaI.com.
Sign up for the free daily newsletter.
We're going to be recapping all the highlights from today's show.
and a whole lot more.
So let's get straight into it this week.
We're going to be going over seven new AI features to save you time from Excel to Google Workspace and AI agents.
Yeah, there's always AI agents.
So let's just go ahead and look live.
So for most of these podcast audience, you don't really need to see what's going on the screen,
although I'm going to be sharing my screen, mainly going over some of these, you know, AI updates from big companies,
going over the releases and kind of my big takeaways for you.
So let's start with, let's see if we can get a going there.
All right.
Google.
All right.
Big one.
This is something I've personally wanted from Google and Google Gemini for years.
And they finally shipped it yet.
I don't know if I saw literally anyone talk about it.
And I think it's huge.
So here's what's new.
This is the new Gemini in Docs.
sheets, slides, and drive.
So maybe you've seen this pop up, you know, in your Google workspace.
Maybe not.
So there is a new Help Me Create mode across the entire workspace.
So you can describe what you need.
Then Gemini can pull in that information from Gmail, drive, and chat to build it inside of
the app.
So in docs, it can help you make drafts in sheets.
It can obviously build full spreadsheets and auto fill cells.
In slides, it can help you generate things.
slides and then drive, I think, is really cool. So drive just kind of is now. They're kind of almost
repositioning it to a mini rag, right? This is your entire knowledge base and you can access it from
anywhere. So I do think that both Microsoft and Google struggled initially trying to get their
respective co-pilot and Gemini to really work seamlessly in their office or workspace apps. And, you know,
I even had a lot of videos maybe back in, you know,
or late 2023, early 2024,
showing how this implementation on the Google side just didn't work, right?
It seemed like the, you know,
even though that they were offering Gemini in beta in some instances,
you know, in Gmail, in Google Docs, it just didn't work.
Now in my testing so far in this, it's really, really good.
And it's finally, I do love how they're repositioning drive to.
It's almost like I said.
It is like retrieval augmented generation.
It's a vector database of your company's living knowledge that you can now properly access from anywhere, right?
It's like before you almost had to have a decision tree of where you could use certain Google Gemini features.
It's like in drive, you could chat with certain files in Gmail.
You know, maybe you could access, you know, drive, but not sheets.
Now it just seemingly is working all better together.
All right, here's who has access and some use cases.
So right now it is in beta for paid subscribers.
So if you are a paid subscriber for Gmail, well, you have it, whether you're an AI
Ultra or AI pro subscriber.
And the good news is it is rolling out to Gemini for workspace business customers at the
same time as long as you are opted in to the alpha program, which your admin just has
to do with one click.
So right now, it is available globally, although English only for.
sheets and slides and some of the dry features are US only at launch.
Well, okay, you might be thinking, why do I need this?
Can't I just go inside of Google Gemini and do most of these things?
Well, yeah, sure.
But here's the reality.
If you're anything like me, I still spend plenty of time, right?
My company, we're a workspace company.
So I still spend plenty of time in sheets, in docs, in slides.
And a lot of times I'm like, wait, can I?
access this from the Gemini sidebar here. And a lot of times, the answer has been either no or
kind of or not sure. Now it's just becoming much more useful. So this is just AI that works
inside of the apps instead of having to launch a separate chatbot in going into Gemini.
So that cuts down on context switching, which is huge. And then the fill in, sorry, fill with Gemini
in sheets can pull live data from Google search into yourselves. I actually did.
demo that this past summer, I think it was with Paige Bailey from Google, which is one of the,
I think, more underutilized features in all of AI, right? To be able to pull in live Google data
straight inside Google Sheets is pretty huge. It also has a new feature to match your writing style,
which is really helpful, that unifies your tone across multi-author docs automatically.
So I think this is extremely valuable for really any team.
that have the majority of their day-to-day inside of Google workspace.
So whether that's project managers, marketers, analysts, founders, it doesn't matter.
If you are working in Google workspace, this is great.
So the only downside, like I said, is it does require a paid Google AI subscription.
But the upside, finally, right?
I've been always harping on Google when they come out with all these new features.
And it seems like they're made for business, but then they don't go to workspace users.
It's like, oh, it only goes to your personal Gmail, right, your Gmail.com if you have a paid plan.
And I'm like, okay, well, that, you know, negates the majority of people using this, which are business users.
So that's great that this rolled out right away.
All right.
Our next one, perplexity is trying to, 30 years later, redefine what the personal computer means.
All right.
This one's a little confusing, but I'll simplify it.
They just came out with something they're calling personal computer.
which is their version of what they're calling a more secure, easier to use open cloth.
All right.
So what the heck is personal computer, right?
I'll read it from their website here.
So they said today we are announcing personal computer.
Personal computer runs on a dedicated MacMac Mini.
MacCand run 247 connected to your local apps and perplexities secure servers.
Personal computer is a digital proxy for you, working constantly on your behalf and allowing
you to orchestrate all your tools, tasks, and files from any device anywhere.
Personal computer works in a secure environment with clear safeguards.
Sensitive actions require approval.
And every session includes a full audit trail.
A kill switch gives users immediate control.
All right.
So right now, this is obviously a paid product and it's rolling out on a wait list only.
And I'm actually not sure.
I'm double checking your live.
Yeah.
I'm not sure why or if it's going to remain Mac.
Mini only, right? Like, luckily for me, I have a Mac Mini that I set up for OpenClaw that I'm not
using for anyone else, but I also have a Mac Studio. So it's like, okay, can you only run it on Mac
Mini? Maybe some of those details will come out later. This new update is like less than, you know,
a day and a half old. So like I said, this is a cloud-based multi-agent system that can orchestrate
those 19 plus AI models that computer already works on.
So I did a full hands-on demo of perplexity computer about two weeks ago during our Wednesday
show.
And the cool thing is, just with a prompt, perplexity computer can run, you know, 19 different
AI models.
And it kind of chooses which one is best for the task.
And a lot of times, even in one task, it might use two, three, four, five different
AI models.
So all this is is it's a lot of it.
It's taking that cloud-based computer agent, and it's letting it run on a local machine.
So this is essentially a layer that runs on a dedicated Mac that stays on 24-7,
merging your local files with cloud agents.
So, yeah, it can access your local device.
So that's the big difference here.
And it is controllable from any device.
But like I said, all sensitive actions do require user confirmation.
So it is rolling out right now, unfortunately, to Perplexity Max subscribers.
and it is credit-based.
We'll see.
I did join the wait list,
so I might also reach out to some of my contacts there at Perplexity,
see if I can jump the line just so you all can get a look at it.
One thing I did not like about Perplexity Computer,
which the team told me they are working on,
is I'm like, yo, like a simple prompt, right,
ate up a tenth of the normal monthly credits, right?
So we'll see if it gets a little better at that.
and how that might be a little difference once you can maybe use local models, right?
But right now, unfortunately, it's Mac only and it is a wait list.
But they did also announce an enterprise version that will have direct integrations with Slack,
Snowflake, and also SSO, single sign-on.
So here's why it's useful.
Well, it's just a easier in what perplexity is calling,
more secure version of OpenClaw.
So as you've probably heard me talk about on the show before, OpenClaw,
one of the most viral pieces of open source software ever.
Well, I think it is literally the most viral, at least according to GitHub stars, right?
Even Nvidia CEO Jensen Wong mentioned as much that he said it's maybe the most important
piece of software ever.
So essentially, Open AI kind of aquired the project by hiring its sole founder.
So we'll see what OpenAI's long-term plans are with the OpenClaw project.
it's obviously open source, still available for anyone to use for free.
The problem is, is it does take a lot of tech know-how to get set up.
From a security standpoint, you do have to really keep an eye on it.
So I think the differentiator on if personal computer will pick up speed is ultimately going
to be, well, okay, number one, how much easier is it to set up personal computer than
OpenClaw?
And number two is, can perplexity tell us exactly what makes it more secure, aside from
just saying, hey, it's in a secure sandbox.
But why is this useful?
Well, like I said, with a single prompt,
you can kick off a multi-hour research project,
but also have its work on your local machine,
and it can pick the best model for each sub-task automatically.
That's one thing I liked when demoing the actual perplexity computer,
but now, yeah, it's a personal computer confusing, right?
All right, next one.
We actually have two from Microsoft.
And number one is kind of similar to what I just talked about, right?
So in the last couple of weeks, I wouldn't say it's been a craze, but it's been a movement toward, well, this type of work.
You know, combining autonomous AI agents that can work on your local machine and still use powerful models.
And that's exactly what we got from Microsoft with co-pilot co-work.
All right.
So here is the quick rundown of how,
they say it. They say, if you have used copilot, you have seen how quickly can help you find an answer
or draft an email. The next step is just as important, turning that intent into real actions
across Microsoft 365. Over the last year, we have been pushing co-pilot toward taking action.
That means completing tasks, running workflows, and doing work on your behalf. Co-pilot,
co-work is built for that. It helps co-pilot take action, not just chat.
Co-work makes it easy to delegate work. Describe the outcome you want and co-work automatically
grounds that work in your emails, meetings, messages, files, and data.
All right.
So if this sounds kind of like Anthropics, co-work, well, that's because it is.
It is their technology.
Microsoft is obviously an investor in Anthropic, and they do use the clawed models
across the ecosystem.
But this is essentially Microsoft's version of Anthropics co-pilot technology.
Or co-work technology.
So it is the co-work technology.
So, you know, if you missed what the heck is,
co-work from Anthropic,
well, essentially they released Claude Code,
crazy popular, multiple billion dollars of revenue
in the first couple of months.
And they found Anthropic did that people were using it for non-technical tasks.
So then they created a non-technical version of Claude code called Claude Coat.
And it can essentially describe what you want to do.
You can connect all your data to it.
And like OpenClaw and now Perplexity's personal computer, right?
It does this combination of using, you know, this hybrid approach, using very powerful, you know,
frontier models in the cloud, but then working with your local desktop.
So that's exactly what co-pilot is here with co-pilot co-work.
So this is built with Anthropic and it is powered by the Claude models.
So right now, access.
This is going to be a slow one, I would assume.
It is the frontier program and early enterprise co-pilot users only right now, although
So Microsoft teased a broader rollout in late March.
We'll see if that happens, at least in my experience of covering AI every day for more than three years.
These more complicated and in theory, rollouts that require more security hands-on, usually take longer.
So I was surprised when they said broader rollout in late March.
I wouldn't personally expect it.
I would say probably quarter two or quarter three.
But we'll see.
We'll obviously be keeping you in the update on that.
So here's why it's useful.
Well, it just plans and it runs in the background with checkpoints and you approve it
before anything changes.
And it can deliver finished artifacts, you know, decks, reports, et cetera, but all based on
and grounded in your Microsoft data.
So this is going to be, I think, extremely valuable for your everyday enterprise knowledge
workers, right?
Executives, analysts, operations, lead, and anyone really juggling Outlook, Teams, Excel,
Word, PowerPoint, daily.
but you are constantly having to pull in different information from all of these files
and then output some sort of artifact or deliverable, right?
And if that definition sounded like, well, Jordan, that's everyone.
Well, yeah, that's pretty much everyone.
So we'll see.
This, I think, is ultimately what I think most people had in mind when Microsoft
released co-pilot, you know, two and a half years ago.
So we'll see if this helps with co-pilot adoption, right?
because I think co-pilot has been one of those things that's trickier to use.
We also just saw Microsoft release and announce tasks.
I think that might be more for co-pilot on the web.
So we'll see how these things ultimately come together.
But hey, live stream audience, podcast audience, let me know if you want to see in the future, right,
if we get access to co-pilot, co-work or something, if you want to see more coverage on it,
let me know and we'll can make that happen.
All right.
The next new release, this one also from Microsoft.
So new agented capabilities live inside Excel, Word, and PowerPoint.
So this was, well, it was announced alongside the co-pilot cowork announcement.
This was part of Microsoft's Wave 3 copilot rollout.
So we'll be going over that a little more on our Monday AI News That Matters segment because
there was a lot announced.
But I would say probably the two most important things, well, we just covered.
So one was co-pilot cowork.
And then two is this new, the new agentic capabilities inside of Microsoft Word and Excel.
So this is essentially an in-app agent mode that handles multi-step actions inside Word, Excel, and PowerPoint.
So as an example, in Excel, you know, that can help you with natural language, do scenario modeling, formulas, charts, analysis, et cetera.
And then in Word, help you draft and refine with clarifying questions on tone, audience, right?
So this was rolled out in preview previously.
So this is part of a wider rollout from Microsoft.
So who has access right now?
So that's important.
So this is first, Enterprise co-pilot users.
And then second, the general availability is set to go on May 1st.
So that's if you're using Microsoft Agent 365.
So here's why it's useful, right?
This is just cuts down on the iterative back and forth, you know, going between, you know, different sections inside Microsoft co-pilot.
Just hopefully helps you produce better outputs without having to do so much context switching, right, and jumping to a new chat window.
Instead, right, the AI just works where you work, right?
Like in the sidebar of Excel.
And not just that, but powered by.
reasoning models that can, you know, they're not just spitting out next token prediction,
right? They're thinking and they're grounding that in your data. So the copilot notebook grounding
anchors those agents on shared references. So teams will hopefully get more consistent results.
So this is great, especially if you're an analyst working inside, you know, Excel or Word daily
or just team leads who need consistent co-pilot output across people. So yeah, unfortunately,
If you want access now, it does require the enterprise co-pilot plan, and it's less flashy than co-work, but maybe arguably a little more important for day-to-day work until, well, people learn how to use things like co-work.
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All right.
Our next one, kind of related.
Yeah, it's very much related.
The exact same thing.
So we did reference this on our GPT 5-4 release show.
So, yeah, last week we did, I didn't even know what this weekly show was going to be called.
So we did it on Thursday.
And then like an hour later, we got GPT-5-4 from Open AI.
So this one is a little bit older, right?
Eight days.
Oh, my gosh.
That's like two decades in AI time.
But Chad GBT in Excel.
Again, huge.
I think a huge release that no one's really talking about.
So essentially, this is an add-in for Excel.
So you're not finding this inside of chat GPT.
It's an add-in in Excel.
And then you can log in with your chat GPD account.
And it essentially brings in GPT-5-4 as a sidebar add-in inside of Excel.
So you can build financial models, run scenarios, trace formulas, and analyze data in plain
English. The other cool thing is it brings in live dynamic financial and data. So it has
integrations with FACCET Moody's MSCI, SMP Global, Dow Jones, Factibia, Thurbridge, right?
All the big data providers, it is going to work dynamically inside without you having to do anything
else. So right now this does require a paid chat GBT account. So yeah, plus pro team business
enterprise, EDU and teachers. And originally,
or sorry, initially only rolling out to the U.S., Canada and in Australia.
The cool thing, OpenAI did say that a Google Sheets version of this is coming soon, which is really cool.
All right.
So here's why I think it's useful and who's going to find it valuable.
Again, eliminates context switching.
You're right.
So getting the best of GPD 54, which I think right now is the best all-around model for general intelligence.
And it just eliminates the copy and paste out of Excel into chat, GBT loop, right?
everything stays in the workbook.
So it obviously will ask permission before making any major changes.
And it links those answers to the exact cell.
So you can kind of have a little bit of transparency and traceability.
So the financial data integrations also huge,
let you pull in market data without ever leaving Excel.
So whether you're an accountant, an analyst,
if you work in finance, anyone that's doing any business intelligence,
I think you're going to find huge value from this.
It isn't beta right now,
only three countries at launch.
And if you are on like an enterprise plan as an example,
admins must enable this.
So, you know, keep that in mind if you want to use this and you're not an admin.
You might have to go track them down for that information.
All right.
Two more here.
Let's get into them.
And here's a big one.
Again, I don't even think there was an actual announcement of this.
I didn't, at least not from the main open AI account.
right no blog posts nothing this was just a small footnote um in open a i's help article all right
but skills are now rolled out to chat gbt and if you've been someone that's been splitting
your time between anthropics claude and open a i's chat gpt and you've really found value in
anthropic skills, well, now most paid chat GPT users can have access to it.
And I say most, well, because it's not the bottom paid plan, unfortunately.
So who can use this right now?
It is those on the business, enterprise, EDU, teachers, and health code, or sorry,
healthcare plans, as well as codex and the API.
So yeah, essentially skills are on every single paid plan except the base,
$20 plan, which kind of stinks. Oh, and I'm looking also the pro plan. It's not on there,
the $200 plan. So it's not on the $20 a month or the $200 a month plan, but it's essentially
on all the paid team plan. So at least for me, I've been experimenting with skills, but it's kind
of, it's kind of annoying because I have to, you know, log out of my pro and my plus accounts and
go long into my business accounts. But if you don't know skills, let me tell you a little bit well,
what they are and why this is helpful. Essentially, skills are reusable workflows that now you can use
inside of chat GPT and they apply automatically when they are relevant. So you can kind of define
when to use a workflow, the steps in the output formula, and then you can share that across your
workspace. So every account includes a skill creator skill. So you can even build new ones inside of
chat GPT in a normal conversation without any manual work. Right. So essentially to simplify it,
You know, because I think there's a lot of confusion like, okay, what's the difference between skills and a GPT and, you know, custom instructions in a project and, you know, custom, you know, system settings on how you want your chatypt to behave, right?
There's a lot of intricacies and nuances between these, right?
But essentially skills, think of it like a, it's like a bunch of folders that have directions in them, right, and mark down files.
and they are used automatically, whereas if you're using a GPT or something like that,
you have to mention or go actively use that GPT.
So we'll see how skills are picked up inside chat TPT,
and if they do roll out to those other individual paid plans,
which is I think where the majority of the paid users actually are.
So here's why it's useful.
Well, it solves that having to repeat the same instructions,
every single conversation, right, especially for teams.
And it standardizes some of those recurring workflows, right?
So whether you're trying to poll weekly reports, you know, checks out of your CRM
that you have connected inside of chat GPT, inside apps, formatting guidelines, right?
All those things.
It just makes it much easier.
So, yeah, unfortunately, there's also no cross-product sync yet between chat GPT and codex.
So your codex skills aren't going to be accessible via chat GPUT and vice versa.
And you know what?
This is, again, I think Open AI chipping away, right?
And I've said this before.
I'm like, I don't know if Anthropic chose the right fight to pick with Open AI, right?
The whole Super Bowl commercial fiasco.
And, you know, there's been some other small things along the way.
We saw Anthropic release these, you know, kind of code updates that they were charging like $15 to $25 for.
And then Open AI came out very quickly with a little quick marketing campaign.
And they're like, hey, this is zero.
dollars for us, right? So it looks like one of these things that OpenAI is finding things that people have liked or do currently like or prefer in Anthropic.
And they're just starting to implement things from Claude into ChatGBT.T. I think in the end, it's us users that win.
So let me know, LiveStream Monace, if you want to know more in podcast audience, if you want to know more on Chat Chbitty skills in the future.
All right. Last but not least, more kind of pseudo-openclaw-esque competitions, right?
So this one here, Anthropic, has released.
Finally, flawed code scheduled tasks.
And there is a new loop command, which is really cool.
So that's only in the command line interface, so not in the desktop version, but that brings along kind of Cron-style scheduling.
So you can run prompts at intervals.
you know, every certain minutes, every couple of hours, every couple of days, or you can just
schedule them normally. So in Claude desktop mode, there is the new command backslash schedule
that you can fire tasks hourly, daily, or weekly with full MCP tool and plug-in access.
So right now, this is for up to 50 concurrent tasks per session and they auto expire after three days.
So who has access right now?
This is ClaudeCode users on Pro, Team and Macs.
And then also, if you're using the command line interface version of CloudCode or the desktop Mac version, you know, it can apply in there as well.
So here's why it's useful.
Well, number one, I think this is one of the reasons why a lot of people were flacking to OpenClaw, right?
The ability to kind of have it work around the clock for you and schedule it to do.
certain things is one of the reasons why, among others, right, that open claw really took off
in popularity, right? Because otherwise, if it's just always the human having to go in there and,
you know, always be the one that pushes the button or fires the automation trigger, it's not
technically as helpful as a truly autonomous agent or an agent that can run on a schedule. So, although,
you know, Aipropics not going to say it, I do think that a lot of their recent smaller feature
updates like this have been aimed at maybe not getting some of that open claw audience back
because I don't think the open claw audience is necessarily, you know, abandoned,
Claude or chat GPT.
But I do think, right, we just saw this from perplexity as well with their personal
computer and then some of the more recent updates here from Anthropic that are really just
bringing that utility that seemingly a lot of people desire, right?
not having to go in and, you know, schedule code updates or not having to go in and manually do that, right?
Like, why not just be able to, you know, run it every single day or once a week, et cetera?
So this is useful because it turns Claude Code into a background worker that essentially just runs while you're away.
So, yeah, you do have to have your computer open, right?
So using it on the desktop, it can't run if your desktop is shut, right?
but there are ways you can essentially make sure that it will run at all times,
right, to keep your Mac from going to sleep, essentially.
So there's already tons of, I think, popular use cases that are in the wild, right?
So overnight PR monitoring, if you're, you know, into software development, coding,
auto bug fixing PRs, you know, morning slack summaries, weekly dependency audits, right?
Whatever those things that are that you have to do continually, right, whether it's, you know,
every day doing the same type of manual tasks every week, whatever it may be. I think this is good.
And developers and engineers are going to love this, right? So if you're wanting to kind of have
a set and forget automation or also, you know, non-coders are just calling it like accessible
cron, right? So, you know, old school cron jobs, you know, way before AI, which is just scheduling
repeatable, you know, computer automation tasks. That's what we have here, right? So you don't even have to
use it for coding things, right?
I am using schedules on Claude Code for non-technical, non-coding use cases.
So keep that in mind.
This isn't just for software developers, although I do think this is where it's going to take
off.
So that is a wrap.
Yeah, actually, one more thing to note, I did say this, but just to iterate, yeah,
your computer and the desktop app must be open and awake for those local tasks to fire.
All right.
So yeah, it's not just your computer has to be on,
but you got to make sure that, you know,
if you're using Claude code on the Claude desktop app,
it's got to be open.
Your computer's got to be awake.
And then that's it.
All right.
What do you think, y'all?
Was this helpful?
All right, I'm going to do what I did last time.
I don't know if this is going to be an every single week thing.
I'm wondering if you guys like it.
So I do always have an arbitrary number, right?
So let me know hot or not.
All right.
So if you all really like this show,
doing it every Friday.
Just, you know, if you're listening on the live stream,
just go ahead and put hot.
If you're listening on Spotify,
you can leave a comment on today's show.
Just say hot.
If you hate it,
you're like, this was a waste of 32 minutes, Jordan.
Thanks a lot.
Just say not.
All right.
I only want to do this every single week if you're finding value.
But like I said,
I think even with our Monday AI news,
I think when there used to be less like huge things going on,
it was a little easier to cover these things, right?
But essentially,
now at the end of every Monday show, we have this what's new and what's next.
And that's where a lot of these features end up.
And all it is is one single bullet point.
And I realize that's not helpful to anyone.
And then I found myself struggling on Wednesdays, right?
When we do our AI work on Wednesdays, the more hands-on practical demos.
Because I'm like, my gosh, there's like a dozen things that are amazing.
How am I going to choose?
Right.
So maybe this Friday show will kind of fit that in between, right, where I can still tell you,
here's all of these things and spend a couple of minutes on each explaining them, right,
without having to fully go hands-on.
So hot or not, let me know I work for you.
If this was helpful, make sure you tell me about it.
Tell someone else about this.
Share this if it was helpful.
If you haven't already, make sure you go check out our 2026 AI roadmap and prediction series.
That's episode 712 and 713.
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