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7 New AI Features Delivering Tangible Efficiency for Excel, Google Workspace, and AI Agents
Recent developments in AI productivity tools have quietly unlocked capabilities that create measurable time savings and boost operational effectiveness across disparate business environments. Rather than focusing on high-profile model releases, the latest episode of the Everyday AI podcast surfaces the business impact of “under-the-hood” changes and feature updates within familiar platforms like Google Workspace, Microsoft 365, and emerging agent-driven systems.
Below, the most significant enhancements are distilled and aligned with practical business use cases, revealing how these advancements go beyond hype for knowledge workers and organizational decision-makers.
Google Workspace AI Upgrade: Gemini Integration Across Docs, Sheets, Slides, and Drive
Google has launched a unified “Help Me Create” mode across Workspace, allowing users to describe needs and trigger Gemini—its generative AI—to synthesize information and execute tasks directly inside Docs, Sheets, Slides, and Drive. For paid Workspace subscribers (beta, globally, English-only), Gemini now:
Drafts documents in Docs
Auto-fills and constructs spreadsheets in Sheets, pulling live data from Google Search
Generates themed presentations in Slides
Converts Drive into a centralized, retrievable knowledge base—akin to a vector database with retrieval augmented generation
This eliminates the friction of context-switching between chatbots and applications, working seamlessly inside the apps where business happens. Team leaders and project managers will see immediate value, particularly through features that unify writing tone across multi-author documents and streamline workflows by leveraging live data integration.
Personal Computer: Perplexity’s Local Agent System for Secure Multi-Model Orchestration
Perplexity unveiled “Personal Computer,” a secure agentic system built on a dedicated Mac mini, running 24/7 for continuous orchestration of apps, tasks, and files. The system merges local device access with cloud-based, multi-model agents (19+ AI models), providing:
Automated workflows spanning multiple sub-tasks, selecting optimal models per task
Secure user control, with approval required for sensitive actions and full audit trails
Enterprise integration planned with Slack, Snowflake, SSO, and credit-based access for Perplexity Max subscribers
This presents a viable direction for organizations seeking to maintain strict data governance while leveraging autonomous agents for research, analysis, and operational tasks that access both cloud and local resources—without the complicated setup of open-source OpenClaw.
Microsoft Copilot Cowork: Enterprise-Level Autonomy Grounded in Local Data
Microsoft’s Copilot Cowork, built with Anthropic’s Cowork technology, represents a meaningful stride in agentic autonomy. Copilot Cowork allows enterprises to:
Delegate workflows using natural language, grounded in emails, files, meetings, messages, and data
Approve artifact delivery (presentations, reports, etc.) before execution changes
Combine frontier cloud models with local desktop processing
Currently available to Frontier Program and early enterprise Copilot users, Copilot Cowork addresses business operations where data remains distributed across Outlook, Teams, Excel, Word, and PowerPoint. By automating multi-step actions and grounding AI in internal data, knowledge workers, analysts, and executives gain efficiencies without sacrificing oversight or security.
Agentic Excel, Word, and PowerPoint: Microsoft’s In-App Agent Mode
A complementary Microsoft rollout delivers “agentic” capabilities within Excel, Word, and PowerPoint, handling multi-step tasks natively, such as:
Scenario modeling, formula tracing, and analysis in Excel
Draft refinement and tone unification in Word
Seamless creation and iterative improvement of PowerPoint decks
Available first to enterprise Copilot users (general rollout May 1), these features reduce manual iterations and context-switching, helping analysts and team leads achieve consistent, high-quality AI output directly inside core productivity tools.
OpenAI ChatGPT in Excel: GPT-4 Integration for Real-Time Analysis and Market Data
Excel now features a ChatGPT add-in, bringing GPT-4 directly into the sidebar, accessible by logging in with a ChatGPT account (business, enterprise, EDU, and select geographies). Key features include:
Real-time financial models, scenario analysis, and formula tracing in plain English
Live integration of data from FactSet, Moody’s, S&P Global, and more
Permissioned cell changes, linking outputs to workbook transparency and traceability
This allows finance teams, accountants, and analysts to bypass manual copying between applications, eliminating the copy-paste loop and keeping analysis within the workbook with immediate access to market intelligence.
ChatGPT Skills: Standardizing Team Workflows with Reusable Automations
OpenAI quietly extended “Skills”—reusable, auto-applied workflows—to paid ChatGPT accounts (business, enterprise, EDU), except base individual plans. Skills let organizations:
Define step-based automations for recurring tasks
Share standard workflows and report generation across workspaces
Create in-conversation skill templates without manual integration
This streamlines repeat instructions in collaborative environments, helping teams efficiently automate tasks like weekly reporting and CRM checks within ChatGPT, and reducing redundancy in fast-paced settings.
Anthropic Claude Code: Scheduled Tasks and Accessible Automation
Anthropic’s Claude Code now supports scheduled tasks, with a loop command in CLI enabling cron-style automation:
Users can schedule up to 50 concurrent tasks with expiry after three days
Deployment in desktop and CLI modes, including nontechnical use cases
Suitable for daily, weekly, or interval-based prompts for PR monitoring, bug fixes, Slack summaries, and more
This enables developers and non-coders alike to run background AI-driven automation, creating set-and-forget tasks for operational improvements without continuous manual intervention.
Summary: Practical Business Gains from AI Feature Evolution
These features represent actionable AI, moving from headline technologies to embedded workflows that create visible business impact. Organizations gain:
Enhanced access to internal and external data for real-time decision-making
Reduction of manual task repetition and friction between collaboration platforms
Granular control and auditability for secure AI-driven automation
Consistent, traceable outcomes as teams adopt AI agents and automations natively within their toolsets
As AI expands quietly inside the everyday business toolkit, these updates are not just incremental—they directly support operational excellence, data governance, and competitive agility across industries.
Topics Covered in This Episode:
- Google Gemini AI in Workspace Overview
- Gemini “Help Me Create” Mode Features
- Perplexity Personal Computer Secure AI Agent
- OpenAI ChatGPT Skills Workflow Integration
- Microsoft Copilot Cowork Autonomous Agent Launch
- Excel, Word, PowerPoint Agentic Updates Explained
- ChatGPT Excel Add-in for Dynamic Financial Data
- Anthropic Claude Code Scheduled Task Automation
Episode Transcript
Jordan Wilson [00:00:15]:
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 these 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 everyday AI and trying to keep you up to date.
Jordan Wilson [00:01:07]:
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 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 gonna cover on today's show. How in you're gonna learn if you stick around for the next twenty to twenty five minutes. It's gonna 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 OpenAI quietly gave teams a way to stop repeating themselves in every single chat g p t conversation.
Jordan Wilson [00:02:00]:
And why three different companies just shipped AI directly inside spreadsheets this week and what that signals. Alright. You ready to get into it? I am. Let's go. Welcome to Everyday AI. My name is Jordan Wilson, and, well, if you're new here, things for you. Unedited, unscripted daily livestream 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.
Jordan Wilson [00:02:27]:
So if that's exactly what you're trying to do, welcome. It starts here, but make sure you go to our website at youreverydayai.com. Sign up for the free daily newsletter. We're gonna 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 gonna 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.
Jordan Wilson [00:02:51]:
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 it going there. Alright. Google. Alright. Big one.
Jordan Wilson [00:03:18]:
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.
Jordan Wilson [00:04:04]:
In slides, it can help you generate themed 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 Copilot 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 twenty twenty three, early twenty twenty four showing how this implementation on the Google side just didn't work. Right? It seemed like they, 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.
Jordan Wilson [00:05:00]:
And it's finally I do love how they're repositioning drive too. It's almost like I said. It is like retrieval augmented generation. It's a 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. Alright.
Jordan Wilson [00:05:35]:
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 docs, 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? You know, can't I just go inside of Google Gemini and do most of these things? Well, yeah.
Jordan Wilson [00:06:18]:
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.
Jordan Wilson [00:06:56]:
And then the fill in, sorry, fill with Gemini in sheets can pull live data from Google search into your cells. 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 teams that have the majority of their day to day inside of Google workspace. So whether that's, you know, project managers, marketers, analysts, founders, it doesn't matter. If you are working in Google workspace, this is great.
Jordan Wilson [00:07:47]:
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.
Jordan Wilson [00:08:18]:
Alright. Our next one. Perplexity is trying to, thirty years later redefine what the personal computer means. Alright? 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 claw. Alright. 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.
Jordan Wilson [00:08:50]:
Personal computer runs on a dedicated Mac mini that can run twenty four seven connected to your local apps and perplexity's 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. Alright. 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.
Jordan Wilson [00:09:29]:
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 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.
Jordan Wilson [00:10:14]:
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 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 twenty four seven, 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.
Jordan Wilson [00:11:02]:
We'll see. I did join the 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 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 the normal monthly credits. Right? So we'll see if if 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.
Jordan Wilson [00:11:53]:
Well, it's just a easier and 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, OpenAI kind of aqua hired the project by hiring its sole founder. So we'll see what OpenAI's long term plans are with the OpenCloud 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.
Jordan Wilson [00:12:38]:
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, you can 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? Alright.
Jordan Wilson [00:13:22]:
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 Copilot Cowork. Alright. So here is the, the quick rundown of how they say it.
Jordan Wilson [00:13:58]:
They say, if you have used Copilot, you have seen how quickly it 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 March. Over the last year, we have been pushing Copilot toward taking action. That means completing tasks, running workflows, and doing work on your behalf. Copilot Cowork is built for that. It helps Copilot take action, not just chat. Cowork makes it easy to delegate work, describe the outcome you want, and Cowork automatically grounds that work in your emails, meetings, messages, files, and data. Alright.
Jordan Wilson [00:14:31]:
So if this sounds kind of like Anthropic's 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 Anthropic's Copilot technologist, Cowork technology. So it is the Cowork 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 nontechnical tasks. So then they created a nontechnical version of Claude code called Claude cowork, and it can essentially describe what you wanna do. You can connect all your data to it and, like, Open Claw and now Perplexity's personal computer.
Jordan Wilson [00:15:23]:
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 Copilot is here with Copilot co work. So this is built with anthropic and it is powered by the Claude models. So right now, access, this is gonna be a slow one, I would assume. It is the frontier program and early enterprise Copilot users only. Right now, although 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.
Jordan Wilson [00:16:15]:
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, etcetera, but all based on and grounded in your Microsoft data. So this is gonna 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.
Jordan Wilson [00:16:59]:
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 Copilot, you know, two and a half years ago. So we'll see if this helps with Copilot adoption. Right? Because I think Copilot 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 Copilot on the web.
Jordan Wilson [00:17:31]:
So we'll see how these things ultimately come together. But, hey, live stream audience, podcast audience, let me know if you wanna see in the future, right, if we get access to Copilot, coworker, or something. If you wanna see more coverage on it, let me know and we'll can make that happen. Alright. The next new release, this one also from Microsoft. So, new agentic capabilities live inside Excel, Word, and PowerPoint. So this was well, it was announced alongside, the co pilot co work, announcement. This was part of Microsoft's wave three co pilot rollout.
Jordan Wilson [00:18:09]:
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 co work 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 if with natural language, do scenario modeling, formulas, charts, analysis, etcetera. 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.
Jordan Wilson [00:18:55]:
So who has access right now? So that's important. So this is first enterprise Copilot users. And then second, the general availability, is set to go on May 1. So that's if you're using Microsoft agent three sixty five. 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, different sections, inside Microsoft Copilot. Just hopefully helps you produce better outputs without having to do so much context switching. Right? And jumping to a new chat window instead.
Jordan Wilson [00:19:37]:
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 Copilot output across people. So yeah. Unfortunately, if you want access now, it does require the enterprise Copilot 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.
Jordan Wilson [00:20:36]:
AI moves too fast to follow, but you're expected to keep up. Otherwise, your career or company might lag behind while AI native competitors leap ahead. But you don't have ten hours a day to understand it all. That's what I do for you. But after 700 plus episodes of Everyday AI, the most common questions I get is, where do I start? That's why we created the Start Here series, an ongoing podcast series of more than a dozen episodes you can listen to in order. It covers the AI basics for beginners and sharpens the skills of AI champions pushing their companies forward. In the ongoing series, we explain complex trends in simple language that you can turn into action. There's three ways to jump in.
Jordan Wilson [00:21:20]:
Number one, go scroll back to the first one in episode six ninety one. Number two, tap the link in your show notes at any time for the start here series, or you can just go to starthereseries.com, which also gives you free access to our inner circle community where you can connect with other business leaders doing the same. The start here series will slow down the pace of AI so you can get ahead. Alright. Our next one kind of related. Yeah. It's very much related. The exact same thing.
Jordan Wilson [00:21:54]:
So we did reference this on our, GPT five four release show. So, yeah, last week, we did I didn't even know what this weekly show was gonna be called. So we did it on Thursday, and then like an hour later, we got GPT five four, from OpenAI. So this one is a little bit older. Right? Eight days. Oh my gosh. That's like two decades in AI time. But chat g p t in Excel, again, huge.
Jordan Wilson [00:22:21]:
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 g p t. It's an add in, in Excel and then you can log in with your chat g p t account and it essentially brings in g p t five four as a sidebar add in inside of Excel. So you can, you know, build financial models, run scenarios, trace formulas, and analyze data in plain English. The other cool thing is it brings in live dynamic financial in, data. So it has integrations with FactSet, Moody's, MSCI, S and P Global, Dow Jones, Factivia, Thirdbridge. Right? All the big data providers, it is going to work dynamically inside without you having to do anything else.
Jordan Wilson [00:23:10]:
So right now, this does require a paid chat GBT account. So yeah. Plus protein business enterprise, EDU and teachers and originally or sorry. Initially, only rolling out to The US, Canada, and and Australia. The cool thing, OpenAI did say that a Google Sheets version of this is coming soon, which is really cool. Alright. So here's why I think it's useful and who's gonna find it valuable. Again, eliminates context switching.
Jordan Wilson [00:23:37]:
You're right. So getting the best of g p d five four, 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 g b t 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 once you pull in market data without ever leaving Excel. So whether you're a an accountant, an analyst, if you work in finance, anyone that's doing any, business intelligence, I think you're gonna find huge value from this. It is in beta right now, only three countries at launch. And if you are on, like, an enterprise plan as an example, admins must enable this.
Jordan Wilson [00:24:26]:
So, you know, keep that in mind if you wanna use this and you're not an admin, you might have to go track them down for that information. Alright. 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 OpenAI account. Right? No blog posts.
Jordan Wilson [00:24:51]:
Nothing. This was just a small footnote, in OpenAI's help article. Alright. But skills are now rolled out to Chatt GPT. And if you've been someone that's been splitting your time between Anthropics Claude and OpenAI's ChatGPT and you've really found value in Anthropic skills, well, now most paid ChatGPT 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 oh, sorry, health care 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.
Jordan Wilson [00:25:44]:
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 plans. 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 log 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 ChatGPT and they apply automatically when they are relevant. So you can kinda 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.
Jordan Wilson [00:26:36]:
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, chat GPT to to to behave. Right? There's a lot of, intricacies and nuances between these. Right? But essentially skills, think of it like a a a it's 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, you know, 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 GPT. And if they do roll out to those other individual paint plans, which is I think where the majority of the paid users actually are.
Jordan Wilson [00:27:30]:
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 pull 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 g p t and codex. So your codex skills aren't gonna be accessible via chat g p t and vice versa.
Jordan Wilson [00:28:06]:
And you know what? This is, again, I think OpenAI, 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 OpenAI. 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 OpenAI came out very quickly with a little quick marketing campaign and they're like, hey. This is $0 for us. Right.
Jordan Wilson [00:28:37]:
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 cloud code into chat gbt. I think at the end, it's us users that win. So, let me know. Live stream audience if you want to know more and podcast audience, if you wanna know more on Chat GBT skills in the future. Alright. Last but not least, more kind of pseudo OpenClaw esque competitions. Right? So, this one here, anthropic has released. Finally, flawed code scheduled tasks.
Jordan Wilson [00:29:16]:
And there is a new loop command which is really cool. So that it it 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 backs backs slash schedule that you can fire tasks hourly, daily, or weekly, with full m c p, 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, quad code users on pro team and max. And then also, if you're using the command line interface, version of quad code or the desktop Mac, version, you know, it can apply in there as well. So, here's why it's useful.
Jordan Wilson [00:30:17]:
Well, number one, I think this is one of the reasons why a lot of people were flocking 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 OpenClaw really took off in popularity. Right? Because otherwise, if it's just always the human having to go in there and, you 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, Aprophyx 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 Chad 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 or or 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, etcetera. So this is useful because it turns cloud code into a background worker that essentially just runs while you're away.
Jordan Wilson [00:31:44]:
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 developments, 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.
Jordan Wilson [00:32:28]:
And developers and engineers, are gonna love this. Right? So, if you're wanting this 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 cloud 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 gonna take off.
Jordan Wilson [00:33:07]:
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. Alright. So, yeah, it's not just your computer has to be on, but you gotta make sure that, you know, if you're using Claude code on the, Claude desktop app, it's gotta be open. Your computer's gotta be awake, and then that's it. Alright.
Jordan Wilson [00:33:32]:
What do you think y'all? Was this helpful? Alright. I'm gonna do what I did last time. I don't know if this is gonna be an every single week thing. I'm I'm wondering if you guys like it. So I do always have an arbitrary number. Right? So let me know, hot or not. Alright? So if 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.
Jordan Wilson [00:34:00]:
Just say hot. If you hate it, you're like, this was a waste of thirty two minutes, Jordan. Thanks a lot. Just say not. Alright? I only wanna 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 realized that's not helpful to anyone.
Jordan Wilson [00:34:30]:
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.
Jordan Wilson [00:35:03]:
If you haven't already, make sure you go check out our 2026 AI road map and prediction series. That's episode seven twelve and seven thirteen. Then go to youreverydayai.com. Sign up for the free daily newsletter. We're gonna be recapping today's show and a whole lot more. Thanks for tuning in. Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.