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7 Advanced AI Updates for Business: OpenAI, Google Gemini, Anthropic Claude, and More
This past week, the AI landscape shifted dramatically as leading platforms OpenAI, Google, and Anthropic released a series of features with direct, strategic implications for business productivity, marketing, and workflow automation. The competitive tempo among these providers has produced practical advances, including new multimodal tools, workspace automation, and collaboration capabilities that merit close attention by operational leaders and decision makers.
Below is an in-depth analysis of the most consequential updates, highlighting their concrete applications for companies—ranging from improved marketing assets and automated business intelligence dashboards to integrated workspace agents and advanced image models ready for business deployment.
OpenAI’s Enhanced Image Model: Practical Impact for Marketing, Design, and Product Teams
OpenAI’s third-generation image model, referred to as Images 2, now surpasses previous iterations in layout accuracy, multilingual text rendering, and instruction following. Notably, this model enables the production of world-class images, fully editable infographics, slide maps, and manga-ready material directly from text prompts—even at the free-tier access level.
Significant for businesses, Images 2 elevates production-grade typography. The model can now handle text in images to a standard suitable for UI/UX design, brand signage, infographics, and marketing collateral, with reliable consistency. Image generation features also include support for up to 2K resolution and flexible aspect ratios, achieved at roughly twice the speed of previous offerings.
For business users, this translates to much faster iteration on branded collateral, high-quality infographic creation without manual post-editing, and accessible visual experimentation by non-designers. Paid plan users benefit from higher image limits, but even the free tier offers practical value for light use cases.
Anthropic’s Claude Design: Instant Prototyping for Non-Designers and Teams
Anthropic’s new Claude Design tool addresses a persistent bottleneck: producing on-brand visuals and prototypes without consuming design team bandwidth. This AI-powered tool transforms detailed prompts into prototypes, slide decks, UIs, and one-pagers, even synthesizing content directly from a company’s existing codebase and design system.
Paid Claude subscribers gain research-preview access to this separate interface, which automatically applies brand colors, typography, and major visual themes once the design system is loaded. The main business benefit is reducing dependency on specialized designers, allowing marketers, founders, and product managers to ship consistent branded assets, animations, and even MVP interfaces quickly.
A practical caution: current usage quotas for Claude Design are restrictive, with even $200/month subscribers hitting limits after 5–6 test runs. Working initial versions in OpenAI’s Image 2 and importing into Claude Design helps manage quota constraints and improves workflow efficiency.
Codex Chronicle: AI-Powered Functional Memory Across Mac Desktops
OpenAI also introduced Chronicle for its Codex app on macOS, augmenting AI workflow with “screen context” memory. This opt-in capability captures key screenshots across the user’s desktop, enabling Codex to supply actionable, context-aware outputs in response to requests (e.g., debugging, error tracing, workflow recall).
For businesses, this means less time copying error logs, commands, or disparate context to AI copilots, improving efficiency for teams working on complex tasks that involve cross-app handoffs. Chronicle is available in research preview for macOS, requires user authorization, and does not significantly impact rate limits for premium subscribers.
Codex Feature Expansion: Browser Control, Google Workspace Integrations, and Dictation
Codex has quietly expanded its utility further with skills for browser control, Google Sheets, and Slides, as well as system-wide dictation and auto-review features. These features are immediately usable with any ChatGPT account and provide broader automation opportunities for business operations, including process auditing, browser-based data retrieval, and live spreadsheet interaction.
Business operations and sales teams benefit from direct data population and slide deck automation, while execs can dictate actions and summaries across the operating system, streamlining routine documentation and communication workflows.
Google Gemini Workspace Intelligence: Integrated Context for Workflow Efficiency
Google’s Gemini Workspace Intelligence creates a semantic layer that links emails, Drive files, collaborators, and projects into a coherent context, accessible across Gmail, Calendar, Docs, Sheets, and Slides. Unlike previous application-level integrations, this functionality allows Gemini-powered agents to maintain a persistent, cross-app awareness of ongoing projects and collaborations.
Workspace customers gain features such as “Ask Gemini” in apps, central AI inboxes, context-aware spreadsheet data feeds, and full-deck generation from live business data templates. Critically, Gemini’s new features for prompt-based spreadsheet population are nine times faster than manual entry, and generated writing can be matched automatically to a user’s historical style.
This update directly addresses operational inefficiencies for organizations embedded within the Google ecosystem. Sales, HR, and management functions, in particular, stand to reduce time spent collating or synthesizing information from scattered sources, while leadership benefits from more cohesive and editable business intelligence outputs.
Claude’s Live Artifacts: Business Intelligence Dashboards Made Simple
Anthropic has launched Live Artifacts for Claude, allowing users to create dynamic dashboards and trackers within co-work sessions, persisting beyond session closure. These artifacts can pull live updates from various SaaS tools (CRMs, analytics, KPIs, emails), eliminating the need to repeatedly reconstruct dashboards or manually update reports.
Live Artifacts are accessible to paid users, supporting ongoing synchronization and updates directly within Claude’s interface. For businesses, this creates a cost-effective alternative to traditional BI tools—especially for companies seeking to monitor key SaaS metrics or orchestrate reporting across multiple cloud systems without significant IT overhead.
ChatGPT Workspace Agents: Team-Ready Automation and the Fine Print
ChatGPT’s new Workspace Agents enable shared, persistent AI automations across teams, scheduled and deployed to handle complex and recurring workflows, including cross-tool operations (for example, lead reviews, support summaries, or routine report generation).
Currently available to ChatGPT Team, Business, Enterprise, EDU, and Teacher plans, Workspace Agents run in the cloud and can be accessed via Slack or through direct scheduling—moving beyond the scope of previous custom GPTs. However, after May 6, Workspace Agents move to a new, credit-based pricing model, and the long-term future of older GPTs is uncertain as migration to agents is streamlined by OpenAI.
Operational leaders can now unify workflow automation, assign agents to specific departments, and track permissions and approvals through admin controls. Unlike Codex, which runs local agents with greater control and terminal access, Workspace Agents excel in cross-team sharing and persistent cloud execution.
GPT 5.5: The New Benchmark for All-in-One AI Performance
OpenAI’s GPT 5.5 model brings a measurable jump in intelligence, efficiency, and reasoning—now officially holding the top three positions on third-party AI benchmark indices. This fully retrained agentic model delivers stronger performance on code generation, tool use, and knowledge work, scoring 82.7 on TerminalBench and 84.9 on GDP Val, tying or beating expert human output in rigorous blind evaluations.
Major gains for business include more accurate code generation with fewer tokens (reducing operating cost), improved ambiguity handling, and enhanced ability to infer missing workflow steps. The integration of Images 2 and GPT 5.5 closes earlier gaps in front-end coding, especially for analytics dashboards, reporting, and rapid prototyping.
These advancements streamline the development and iteration of internal tools, business process automation, and analytics reporting—critical for leaders seeking tangible output and efficiency gains without increasing headcount or custom software budget.
Strategic Implications: Key Takeaways for Business Decision Makers
For marketing and product teams: Use OpenAI Images 2 and Claude Design for rapid, on-brand visual creation and MVP prototyping; manage quotas by cross-using both tools.
For operations and analytics: Adopt Claude Live Artifacts and Codex Chronicle to build persistent dashboards and context-aware workflows without incurring typical BI tool costs.
For team and organizational workflow: Expect major efficiency gains leveraging Gemini Workspace Intelligence for cross-app collaboration and context retention, especially for companies embedded in Google’s ecosystem.
For workflow automation: Explore Workspace Agents on ChatGPT to unify and automate department-specific workflows, monitor upcoming pricing changes, and remain adaptive as OpenAI consolidates GPT/Agent strategies.
For software and product development: Leverage GPT 5.5’s superior reasoning and reduced token cost for deeper long-horizon coding projects, with the capacity to prototype and iterate across both front- and back-end requirements faster and more accurately.
The past week’s updates are less about incremental improvements and more about resolving specific operational pain points—unlocking tangible efficiencies, improving data accessibility, and raising the baseline for what even small teams can accomplish with properly integrated AI tools. Early adoption and tactical integration of these advancements will be a key differentiator for organizations prioritizing speed, brand consistency, and scalable automation.
Topics Covered in This Episode:
- Anthropic Claude Design AI Tool Explained
- OpenAI ChatGPT Images 2.0 Release Details
- ChatGPT Images 2.0 vs. Claude Design Comparison
- OpenAI Codex Chronicle Screen Context Feature
- OpenAI Codex New Browser, Sheets, Slides Skills
- Google Gemini Workspace Intelligence Semantic Layer
- Gemini Workspace Real-Time Collaboration & Automation
- Claude Live Artifacts BI Dashboards Launch
- OpenAI ChatGPT Workspace Agents Announcement & Pricing
- GPTs Future Uncertainty with Workspace Agents
- OpenAI GPT-5.5 Model Performance Benchmarks
- GPT-5.5 Model Coding and Knowledge Work
- OpenAI Tops AI Model Intelligence Rankings
Episode Transcript
Jordan Wilson [00:00:15]:
If you're a heavy chat GPT user, your life just got a lot better this week. That's because OpenAI had their biggest and best week since probably December 2024. That was their whole Ship Miss event where they first shipped thinking models, Sora, Canvas projects, and more. But this week, they even outshipped Anthropic over the past month, which has been on a tear. So from user friendly agents to the world's best image model to now the world's best overall AI model, OpenAI cleaned house and stole back the narrative from Anthropic. OpenAI released so much this week. Actually, we had to leave off one of my personal favorites off of our weekly top seven AI features list, which that one was Chat GPT being released in Google Sheets, by the way. Alright.
Jordan Wilson [00:01:14]:
But there was a lot more news aside from OpenAI when it came to big new features in AI this week from an awe inspiring design tool that makes you an instant art director to a new way to work inside of Gemini. There was a ton happening this week that you might have missed. And if you did miss it, don't worry because that's what this new Friday show on everyday AI is all about. It is our Friday features highlighting seven of the biggest features that you might have missed that you can use today. Alright. So let's first tell you what you're gonna learn on today's show, shall we? So stick with us for the next twenty five ish minutes, and you're going to learn why OpenAI had its biggest week in years. You're gonna know how Google is changing, how businesses can collaborate inside of Gemini. And I'm like, about time.
Jordan Wilson [00:02:12]:
I've been wanting this for years. And you're gonna find out the small print that most people missed on the new chat GBT agent announcement. Alright. Let's get into it. Welcome to Everyday AI. If you're brand new here, sweet. Welcome. My name is Jordan, and, well, we do this every day.
Jordan Wilson [00:02:31]:
Everyday AI is a daily unedited, unscripted livestream podcast and free daily newsletter helping business leaders like you and me make sense of all the AI updates. I tell you what's worth it, what's not, how to use it, you grow your company and career. In return, you just gotta do a couple things. One, if you're listening on the podcast, do me a favor. Make sure to subscribe and rate the show. I'd really appreciate it. And make sure you go to youreverydayai.com. To sign up for our free daily newsletter, we're gonna be recapping the highlights from today's story.
Jordan Wilson [00:03:00]:
So in case you're, you know, out walking your dog or your mom's dog or you're walking your mom or the dog's walking you. I don't know. If you miss anything, it's all gonna be in the newsletter. Alright. So let's take a look at what is going on. My gosh. A ton happening this week. So if you are listening, on the, the podcast, Nothing super visual, but I am gonna be sharing my screen here, but you can always find the video version on our website for free, youreverydayai.com.
Jordan Wilson [00:03:31]:
Alright. First one, this one looks so good. This is the new Claude design by Anthropic. So, here's what it is. It is a new AI powered design tool from Anthropic Labs that turns text prompts into prototypes, slide decks, UIs, and marketing one pagers. So, yeah, this one actually it's technically been out a week. Right? But the show comes out on Fridays, and this was literally announced, like, an hour after, the podcast was up. And I'm like, really? So it might seem like, wait.
Jordan Wilson [00:04:07]:
Hasn't this been out? Well, yeah. It has, but it is that good that I had to make sure to talk about it on our Friday show. So here's the cool thing. It can read a company's code base and design any type of file to automatically apply brand colors, typography, design components, etcetera. So who has access to this? So right now, it is a research preview. Alright? And it's available to paid Claude subscribers. It's also included in existing Claude subscriptions, but you're gonna hit your quota pretty quick. Alright.
Jordan Wilson [00:04:47]:
Here's here's the thing most people, were, like, kind of confused about. It's actually kind of like a new interface altogether. Right? So you're gonna go to your normal claw.ai, and then you're going to find on the website. There's a thing called design at the end, and then it's not gonna look like your normal, you know, Claude on the web. It's not gonna behave like it either. Just FYI so you know that. But I personally like it. It's very interactive.
Jordan Wilson [00:05:16]:
It walks you through things step by step. It asks you a series of questions depending on what you are trying to design. Here's why it's useful. Well, I mean, it lets non designers. So, you know, you could be just a marketer. Right? And, normally, you're working with a design, person. Maybe you used to have a design person and you don't anymore. You're a founder.
Jordan Wilson [00:05:36]:
You're a product manager. Whatever it is, this lets you ship so many different kinds of branded assets without even tying up a design team. Right? Or maybe, yeah, maybe you do have a design team and you need something on brand, but you don't wanna, you know, distract them. And that's huge because, you know, the big thing is it does, maintain that brand consistency automatically once a design system is loaded. So, yeah, you can, like, load an actual design system. So, I'm not gonna bore you with what that is, but it's essentially, you know, this combination of, you know, your colors, your fonts, how you use them in coordination. Right? So, it's it's a lot more than that, but that's just like an example of how you can bring your entire brand, your visual brand identity, and then create a host of different visuals. I mean, you can even create animations.
Jordan Wilson [00:06:27]:
You can create, you know, short videos. I I was, you know, messing around with that a little bit. So, really cool. So who's gonna find this valuable? I mean, designers, anyone who's exploring, you know, certain concepts wanting to take a direction farther, product managers and founders who need working prototypes, before engineering. That's huge. Right? And it's gonna walk you through to make sure that you are thinking of everything in in your app or whatever it is. And then marketing and sales teams, who are, you know, trying to produce on brand decks, one pagers, whatever. Downside to this in true anthropic fashion, if you look at it the wrong way, your limits are gone.
Jordan Wilson [00:07:05]:
Alright. I am on the, you know, $200 a month max plan, and I had to stop. Right? Because I'm like, okay. I don't know if I'm gonna, you know, if if I'm gonna have enough, you know, limits left to do a show on this if I end up doing a show, you know, on Wednesdays. We do our, AI at work on Wednesdays. I did probably, like, five or six tests, and I'm like, I'm almost out, right, for on a $200 plan. So, yeah, I'm not exaggerating on a $20 plan. Good luck.
Jordan Wilson [00:07:34]:
I do hope that anthropic changes this a little bit, but I'll tell you I'll I'll tell you this. Do a lot of your work first in the second tool and then bring it into claw design. Alright. Speaking of second tool or second feature update, let's get to that. So, yeah, before you bring anything, into cloud design, first, start it in the image two point o from chat g p t. Alright? This is a crazy an absolutely crazy drop. Alright. Let me first tell you kind of what's new here.
Jordan Wilson [00:08:09]:
So this is OpenAI's most capable image generation model yet has stronger editing, better layouts, near perfect text rendering, and more reliable instruction following. It can handle multilingual text, full infographics, slide maps, and manga, and it can generate up to eight coherent images from a single prompt. This is the, you could call it their third, generation flagship model. You had the GPT image one, that was last April. You had the GPT image 1.5 in December, and then this images two. So who has access? Well, everyone, even people on the free tier. Right? That's the good thing about OpenAI ChatGPT. Yeah.
Jordan Wilson [00:08:52]:
You can get more utility sometimes on a free I kid you not. On a free plan on chat GBT, then you can get on the basic $20 a month plan on Claude. You know, Gemini Copilot are great with limits, but, you know, OpenAI is obviously really, really good with limits. So here's the thing. It is the thinking mode that you are gonna want. So if you are on the free plan, you know, you'll still be able to create literally world class images. It's it's there's limits on the free plan, obviously. But you really kinda wanna be on a paid plan to be able to take, advantage of its ability to well, it's a world model.
Jordan Wilson [00:09:29]:
Right? So it thinks about things. You you know, it can understand gravity. It can really keep that character consistency. Right? Like, if one shot is is head on in the sun and the shadow's behind and then you change the camera angle, right, it's not gonna move the shadow. The shadow's gonna stay in the same place or where it should be respectively. Right? So just incredibly, incredibly impressive. So the typography is production grade. Right? That's one of the biggest reasons why it's useful.
Jordan Wilson [00:09:59]:
Even their GPT 1.5, was was okay ish. Right? But you still ran into some issues with text rendering. I think Nano Banana, Pro was one of the biggest steps forward where it's like, okay. You can actually use, you know, text that's created in AI image. Right? So whether you're kinda trying to create signs, you know, just or images that would normally have, you you know, signage in the background or a poster, etcetera. Right? A lot of times you'd have to go clean it up in another program, not anymore with images too. It is really, really good. So it is, like I said, you do have to be on a paid plan to take advantage of that thinking.
Jordan Wilson [00:10:38]:
It is available in the API as well. So, here's why it's useful. Well, aside from the typography is finally production grade, which really opens up what you can use it on. Right? So, you know, UI text is big. Right? Labels, signs, multi word strings. Right? Whatever it is. But now it also supports two k resolution, which is huge, and you can do aspect ratios from three to one, one to three, you know, everything in between. And it's roughly twice as fast as the original GPT image one.
Jordan Wilson [00:11:10]:
So who's gonna find this useful? Well, marketers. Right? Marketers, content creators, or anyone producing slides and infographics. That's that's something I don't think has been talked about enough about this model. Right, and it's available in codex as well. So I'm creating a lot of, you know, slide decks in codex. But the slide decks so if you've used Nano Banana, in there or sorry. If you've used NotebookLM, their slide decks, which are amazing, are powered by Nano Banana, which I think has been one of the most underutilized AI tools since it came out. So this can create the same thing.
Jordan Wilson [00:11:50]:
It won't create by default like a PDF. You have to, save the images individually, but I think I actually, created a skill inside of codecs to do that for me. So, just what it can do visually is amazing. Right? So for our, livestream audience here watching, you know, showing some of the images, on the on my screen here. One thing I really liked about what, what OpenAI did here, is they did a on their blog post, they did a classic mode, right, which is just all the, you know, all the text and, you know, text and images on how it would how it would normally be laid out. And then they did this image mode, which I thought was really cool. So they essentially took, like, a blog post with all this information, and they put it into, you know, images too. Talk about, you know, dog fooding.
Jordan Wilson [00:12:39]:
And, obviously, the I I I mean, the images are amazing. And let me just go ahead and call this out right now. So why should you use this along with Claude Design? Well, number one, again, good luck using Claude Design. It you know, hopefully, it'll get better. But even on a $200, plan, you're gonna run out of limits very quickly. So you should do a lot of the iterating, some of the basic prototyping, in ChatGPT first with images too. If you're on a paid plan, you're not really gonna run out of limits. Right? Unless you're doing it around the clock on the 20, on on the $20 a month plan.
Jordan Wilson [00:13:14]:
But, you know, if you're just doing, you know, ten, twenty images, a a day, you're fine on the pay plan. But I would start doing these things first inside GBT, image and then take them elsewhere because the jump in quality is absolutely outrageous. So I'm actually, trying to bring up here. Let's bring up let's see. Let's see. Let's see. I'm trying to bring up the, there we go, the image. There we go.
Jordan Wilson [00:13:44]:
Text image. Let's bring this up here for our, for our livestream audience. So it absolutely crushed everyone. Okay? So we have the arena. Right? So the arena is just, you know, blind taste test. You put in a prompt text prompt. You get two images. You choose which one's best.
Jordan Wilson [00:14:09]:
This set a record. So so it's obviously in first place, but it set a record for the biggest gap. It is I'm I'm looking at these scores right now. It's actually bigger than it was, prior. It is a 236 gap, right, between GBT images two and then Nano Banana two. And and and for context, right, from second place to, fifth place, that's a 40 gap. Right? So everything's been in the, you know, 1,100, 12 hundreds, and, GBT images two shot up to 1,500. It is amazing.
Jordan Wilson [00:14:53]:
Right? And so don't just think of images. Right? Because you're probably thinking like, okay. Well, what can I use this for? Well, here's the thing. If you are on a paid chat GPT plan, alright, and if you have memory enabled, here's what you should do. Well, first, make sure to, you know, tell chat gbt to go check out the release. Right? Sometimes it won't, and it will rely on its training data, and it'll be like, oh, you know, there is no gbt images too. Right? So first, send it to the blog post, copy and paste it in, and then say, hey. Based on everything you know about me, what are seven specific ways, that I can use this new images model to improve my work, to make our our our product better, to make our our marketing more effective, right, to bring life to our blog.
Jordan Wilson [00:15:36]:
Right? Anything. Just just do that. Right? I think sometimes if you are not a a marketer at heart, if you're not a content creator at heart, if you're not a photographer at heart, you know, to to find true business value in this, it sometimes can be a struggle. So just ask Chatt GPT, and I guarantee you, you're gonna get some pretty good ideas. Alright. Let's move on to our next update. In this one, well, there's a handful from codecs. Some of these are very fresh, but I wanna talk first about codecs chronicle.
Jordan Wilson [00:16:08]:
Okay. So do you remember, you know, like, a year and a half ago when Microsoft Windows announced this thing called recall? Right? And everyone, for Copilot. And everyone went absolutely nuts. Right? Everyone's like, oh, this is a huge security concern. Right? Where essentially, the system just takes photos of everything on your screen intermittently, and then it remembers that, and then you can talk to it and ask it. Well, guess what? Codecs just released that, via this new, product called Chronicle. So it's not available everywhere right now. It is obviously an opt in research preview, but I'm gonna go ahead and read, how OpenAI describes it.
Jordan Wilson [00:16:49]:
They said Chronicle augments codex memories with context from your screen. When you prompt codex, those memories can help it understand what you've been working on with, on with less need for you to restart context. Critical is available as an opt in research preview in the codecs app on Mac OS. Alright. Then it's just saying, you know, be careful of prompt injunction, injection. You have to give it axe you know, certain access. So, you you know, it's going through all the normal, you know, take take proper measures. So it also gives some examples of just how how much easier.
Jordan Wilson [00:17:26]:
Right? So without Chronicle. Right? They give an example. You know, using codex, you say, why is this failing? And then codex responds, I do not know what this refers to yet. Send the failing command error text screenshot or GitHub actions link, and I can debug it. Right? But then if you do have chronicle enabled and then you say the same thing, why is this failing? You know, it says it first says that depends on what this refers to. So I will inspect your recent screen context before guessing. Then it uses the chronicle skill, and then it kind of says, oh, I see what's wrong now. So, essentially, this thing does go through your usage fast or more.
Jordan Wilson [00:18:06]:
It does say that. Right? But I've been using it, and I haven't been noticing a huge jump in my rate limits. I'm also on the $200, a a month plan for chat GBT. Yeah. So you can use codecs with any chat GBT account. But yeah. And I probably skipped over because I did a codecs show, last no. Was that last? Oh my gosh.
Jordan Wilson [00:18:29]:
This is how you know I'm tired. I'm like, that was last week. No. That was two days ago. Alright. So make sure you go check that one out, episode seven sixty one if you haven't already. So, essentially, codex was originally built for coders, but now it's great for just everyday work. So if you like a Claude Code, if you like, Claude Cowork, you're gonna love codex.
Jordan Wilson [00:18:52]:
I go use it immediately. It is that good. Alright. A couple other new updates in codex worth talking about this. So Andrew from which is crazy. OpenAI shipped so much. They didn't even put out a blog post or anything on these. It was literally just Andrew's tweet, and then I went into my codex and I'm like, wait.
Jordan Wilson [00:19:11]:
All of these things are live, and absolutely no one's talking about it. Alright. So some other new updates in the codex app. Obviously, GPG 5.5. We're gonna get to that later. But there's a new browser control skill, which is really cool. There's a, new skills for Google Sheets and Google Slides. There's an, an operating side, operating system wide dictation, auto review mode, and more.
Jordan Wilson [00:19:38]:
So, yeah, codecs just keeps, pumping out the great updates. So, yeah, aside from everything that Chet GPT did this week, some pretty good updates there from codecs. Alright. Speaking of useful updates, this one this here from Google Gemini, this is what people have been wanting from Gemini for, like, two years, but we haven't gotten. Alright. So here's what's new. This is called Gemini Workspace Intelligence. So here's what it is.
Jordan Wilson [00:20:07]:
It is a new semantic layer, that was announced at the Cloud Next conference this week, in Vegas, and it maps your emails, chats, files, collaborators, and active projects into shared context for Gemini powered agents. So it gives Google Gemini continuous awareness across Gmail, Drive, calendar, chat, docs, sheets, and slides rather than treating each query as a blank slate. It also adds and ask Gemini in chat, drive projects, AI inbox, and Gmail, and prompt based generation in sheets, docs, and slides. So this was announced, alright, just this week, and changes are rolling out now. So you might not get it now. That's that's the down thing. The downside with anything, you know, from Google, or Microsoft. Right? Because they're obviously, their ecosystems are large.
Jordan Wilson [00:21:05]:
Their enterprise user base are is large. So you might have access to this today. You might not for a couple of weeks. But the good thing is this is for workspace customers. Let me explain. So many things over the past year and a half of what Google shipped inside of Gemini were not available for Google Workspace. So if you had a Gmail account, right, so if you were paying, for, you know, Google Gemini for your personal Gmail, A lot of the updates that came out in 2024 and 2025 were not for Workspace. Right? So if you, like, millions of of businesses use Google, you know, as your Gmail provider.
Jordan Wilson [00:21:51]:
You know, you use Google Drive. Right? You essentially choose, you know, your a Windows shop or a Google shop when it comes to, you know, all your office, your your email, etcetera. So so many things you could not get inside of Workspace. So this is huge. This is huge. This is essentially a version of a vector database of your whole company that just follows you around everywhere. Alright. I cannot emphasize.
Jordan Wilson [00:22:19]:
Well, I'm not gonna, you know, blow smoke too soon. But if this works as advertised, I cannot emphasize how big this is gonna be if your organization is a heavy Google shop. Right? Some people, you have Google Workspace, but you still end up using other things for whatever reason. Right? Or maybe you're using ChatGPT or Claude even though you have access to Gemini, but But this is gonna be one of those where you might wanna relook at that decision, because this is going to be so powerful. Like I said, all of those different pieces following you around everywhere. So this is much more, almost how Copilot, when it works well, how it operates across the entire operating system, this is bringing that same functionality that I think a lot of people have wanted. So versions of this have been available. Right? Like, as an example, you could go in Google Drive, and you could chat with certain Google Drive folders.
Jordan Wilson [00:23:12]:
And so whether it was a doc, sheet, slides, etcetera, you could do it that way. But now this is something that literally just kinda follows you around, which is really cool. So here's why it's useful. It's gonna cut down the time that workers spend stitching, you know, scattered information from tabs, email threads, and chats before starting their work. You know, there's some great one shot generation features. There's prompt based spreadsheet population that's claimed to be nine times faster than manual, entry. There's infographics that you can make from your business data, fully editable decks from company templates. There's also a new match my voice button that makes Gemini generated writing mimic the user's actual patterns.
Jordan Wilson [00:23:56]:
That's really cool. So who's gonna find this useful? Well, like I said, anyone that's a heavy, Gemini workspace team. Also, if you're in sales, HR, project management. Right? Any any, type of job where you're routinely having to work with a lot of the different Google files. Right? Some people, you know, they're more heavy in data, maybe they're just spending more time in sheets and they're not in, you know, slides a lot or maybe they're not even spending a lot of time in, you know, Google Docs. So if you are someone that is using all of those different Google products, this is gonna be something that is gonna be extremely helpful. So also worth noting, for organizations, if you're still evaluating Google Workspace versus Microsoft three sixty five, Google also announced a rapid enterprise migration offering targeting those Microsoft three sixty five customers. So, yeah, this I think it's it's the reason they did that is because I think those Copilot customers that are finding success and maybe want to move a little bit faster, this is a great option, I think.
Jordan Wilson [00:25:03]:
Although, you know, actually, Windows, or or sorry, Microsoft Copilot has actually been really good, I think, the past quarter. They've shipped a lot of meaningful updates to their co work, you know, that we talked about, you know, rolling out more anthropic models. It's actually been, I think, on the rise. Alright. Speaking of anthropic, that is our next AI feature that I hope you didn't miss. So here's what's new, and it sounds small, but this is not small. Ready? So here's what's new. It is Claude's new live artifacts.
Jordan Wilson [00:25:36]:
So live artifacts are dashboards and data trackers that Claude builds inside of co work sessions, and it keeps them alive after the conversation closes. So you're like, okay. What does that mean? Well, essentially, you can connect anything. Right? So Claude has all of these different apps or connectors. You can build it once. You can build a dashboard, right, that brings in your most important CRM updates, your most important emails, you know, KPIs from, you know, a third party analytics tool that Claude supports. Right? All these different data sources and connect it once, and it is going to update automatically. Right? So, obviously, this caused a little bit of a hiccup, in the stock market.
Jordan Wilson [00:26:22]:
Right? Because there's a lot of obviously, big enterprise SaaS companies that that's what they do. Right? All these business intelligence tools, this is what they do. So now it's like you can almost kind of vibe code your own version of Tableau, or or Tableau or whatever. You know, some of the more, you know, Power BI type tools. So maybe your organization is struggling, to really use some of those more enterprise business intelligence tools or, maybe you don't have enough people on your team that can actually take advantage of it. So I'm not saying that don't don't get me wrong. This is not like a a one to one replacement. Not at all.
Jordan Wilson [00:27:02]:
Right. But if your company is using, a lot of common SaaS products, right, that have connections inside of Claude, this one's huge. So this was just announced. It's available on all, it's available on all, plans, but free users cannot create live artifacts. Alright? You can just create normal artifacts. So, it also works inside the co work workspace. Alright? And here's why it's useful. It turns one off cloud outputs into persistent working systems.
Jordan Wilson [00:27:38]:
This one for me, even though I think OpenAI cleaned up this week, this might be one of the ones I use most often, to tell you the truth because this is something I'm continually doing because I've used all kinds of, you you know, business, intelligence dashboards. And for whatever reason, either they don't give me what I want, I don't like how they look, or they're just terribly expensive. Right? I'm a small business. I'm not you know, some of these are 500, $800 a month. I'm like, I'm not gonna pay that. It's overkill. I'm barely gonna use 1% of the capabilities. I just want, you know, these 10 platforms.
Jordan Wilson [00:28:17]:
I just want all of that data. I want it there, and I wanna be be able to easily see and understand it. Right? So now you can kind of do that in these new live artifacts from Claude. So, pretty cool. Alright. So next, here's where it gets juicy. Workspace agents. Sorry.
Jordan Wilson [00:28:37]:
My nose itches. Alright. This is a tricky one. Alright. Because there's some fine print here that I referenced, but before I get to it, let me first tell you what workspace agents are. So this is brand new from ChatGPT. They are shared agents that handle complex tasks and long running workflows across tools and teams, and it's positioned as the next step beyond custom GPTs. It is powered by codecs, which is really cool, and it runs in the cloud.
Jordan Wilson [00:29:16]:
So they can continue working even when the user is away, and they can be scheduled to run automatically or deployed in Slack to respond to incoming requests. So here's some of the downsides and some of the caveats. So this is only available on team plans. Alright. So that's chat GPT business, enterprise, EDU, and teachers plans, and then admins, can enable agents via role based controls. Here's the other thing. It's only free slash included, until May 6. Alright? So this one's interesting, because then at that point, OpenAI says that they're rolling out a credit based pricing system.
Jordan Wilson [00:30:01]:
So not sure what that means. Not sure if that means, oh, you'll have, you know, a 100 agent runs a week included, or if it's strictly on top. I'm guessing there's gonna be some, inclusion, you you know, just kinda like, you know, oh, you used to get 20 deep research runs a month on a paid plan. So maybe it's like that, but right now, you're not paying extra. It is unlimited. I actually which was fun last night. I had codex, the program, building me agents in the browser, but they were built by codecs. It was the most meta thing without being meta, right, which was fun.
Jordan Wilson [00:30:42]:
You you know, built me built me a handful of, you you know, agents that I was trying out. So that is caveat one. So there is gonna be some sort of credit based pricing system that starts on May 6. Not really sure what that is. Alright. The other thing that you need to keep in mind, no one's really sure what's gonna happen to GPTs. Alright. Let me see.
Jordan Wilson [00:31:05]:
Let me see. I'm I'm trying to remember if it's on this page or the other ones. Let's see. Here we go. Yeah. So it says editor's note. Right? Fine print. GPTs will remain available while teams test workspace agents with their workflows.
Jordan Wilson [00:31:23]:
Soon, we'll make it easy to convert GPTs into workspace agents. So does that mean GPTs are going away? I don't know. It seemed like some very vague, like, footnote down there because they say they start out by saying it's the next evolution of GPTs, and then they talk about GPTs will remain available while teams test workspace agents. And then they say soon, we'll make it easy to convert GPTs into workspace agents. So I'm not sure. Right? I'll I'll I'll reach out to, some of my friends at OpenAI, and, I'll I'll I'll I'll actually be there this this this weekend. So, yeah, maybe I'll see if I can connect with them and get some answers. Oh, by the way, I will be in San Francisco, Sunday through Wednesday.
Jordan Wilson [00:32:12]:
So, yeah, hit me up. I always keep my my LinkedIn, in the show notes. So, yeah, if you're gonna be around in San Francisco, hit me up. A couple people already have. So, try to try to just chat AI with a bunch of people out there. Alright. So what's gonna happen to GPTs? I don't know. But let's talk about a little bit more about the actual agents because they are really cool.
Jordan Wilson [00:32:35]:
So here's kind of the breakdown. So you build once and you can scale across your team. So you can create an agent once and then share it across your workspace so teams follow these same workflows and best practices. This is from, OpenAI's release. They said work that runs itself, you can run agents on schedule to handle tasks like reviewing leads, summarizing support requests, or generating reports. You can keep work moving across your tools. Agents use your tools to gather information and take action, like updating tickets, editing documents, or sending messages without step by step guidance. And then they say automation with control.
Jordan Wilson [00:33:12]:
Admins define permissions, approvals, and monitoring so teams can automate workflow with oversight. So, I'll say this. If you're already using codecs, there's not a lot of additional value with the ChatGPT agents except that you can use them in the team environment. Right? So, essentially, like, if you use the GPTs, there's always, like, a GPT, store or directory for your team account. So same thing here. But overall, codecs, they're a little more powerful. Codecs, you can, you know, it's the same thing more or less more or less. Right? There's some some differences, some differences, in intricacies.
Jordan Wilson [00:33:55]:
I just made a new word, differences differences. So codecs as an example, way more powerful, because you have more control. It can use the terminal on your computer. The downside is you can't share them with your team, and also your computer has to be on for them to run. So the two benefits there, right, with the new chat g b t workspace agents is, well, you can, your computer doesn't have to be on. They run-in the cloud, and they can be shared across your team. So friendlier for nontechnical people as well. Again, some people are intimidated by codecs, but you shouldn't be.
Jordan Wilson [00:34:27]:
Alright. And then, moving on to our last one, and this is the big one. We have whether it's for one week, one month, one quarter, not sure, but we have a new most powerful model in the world, and I'm talking about GPT 5.5. The spud is now, I don't know, out of the oven. So this was the, the the rumored model we've been hearing about for a long time from OpenAI. It was code named Spud. It is a new pre trained. So that means it's not a version of their previous model.
Jordan Wilson [00:35:06]:
Right? It's not like a better version of 5.4 technically. It is a brand new pre trained model. So here's what it is. It is a fully retrained agentic model targeting agentic coding, computer use, knowledge work, and early scientific research. The benchmarks, obviously, really good. Eighty two seven on terminal bench. Here's the one that, man, 84.9 on GDP Vow. You guys know I love GDP Vow.
Jordan Wilson [00:35:35]:
Alright. Anyways, that means that it ties or beats expert humans, tested or judged by expert judges, and they don't know which one's human, which one is AI. So it wins or ties 85% of the time. And they right now, it ships in two different variants. So you do have the, GPT five five and then you have the GPT five five pro. Alright. So it is already available. Right? So, came out yesterday.
Jordan Wilson [00:36:06]:
So tons, you know, tons of time already that I've been playing with it. Really good. Noticeably noticeably, better, especially the, the lower version, you know, not having to, you know, juice the thinking all the way up or going all the way to pro, super helpful. So it came out to chat g b t. It's available also, in codecs and on all the team, team plans as well. Alright. So here's why it's useful. Well, it matches GPT five four in per token latency while scoring higher or nearly higher on every single benchmark.
Jordan Wilson [00:36:47]:
So you get a big efficiency gain, but without a speed trade off, right, which normally doesn't happen a whole lot. Alright. And it uses significantly fewer tokens to complete the same codex task versus GPT five four. There's also improved ambiguity handling and more often infers missing steps and tool interactions without detailed user prompting. So who's gonna find this valuable? Well, anyone. If if you're a power, chat GPT user, like myself, you're gonna find it especially valuable. Software engineers running long horizon coding tasks, refactors, if you're debugging inside of codex. Right? I'm actually rerunning, or doing, like, reauditing on a lot of my old, you know, kind of vibe coding projects and is finding some amazing things.
Jordan Wilson [00:37:36]:
Right? But here's what I think is the bigger unlock. Right? It's the combination of the new model, GPD 5.5, with images too. Why do I say that? Right. One of the big knocks against OpenAI slash codex has been that it's terrible at front end. Right? So any front end design, that's why people are always like, oh, I'm using Claude code for this. I'm using, you know, Claude. It's just better. It's better.
Jordan Wilson [00:38:01]:
It's better. It's better. But one of the reasons people always say is, well, you know, ChatGPT's front end stinks, and it has. Right? So it's not any better by default, but the cheat code now is inside of codecs as an example or just inside of the normal chat gbt. You can code in there and, you know, render things in Canvas. You can use the image mode first. Render just say render a beautiful, you know, front end analytics dashboard that tracks my personal life. Here's the things I want.
Jordan Wilson [00:38:31]:
You know? Here's some inspiration. It will create you a front end with, images, images too, which is amazing at creating front ends. And then you just, you know okay. Codecs, go do this. So they kind of by just inserting one more step, OpenAI solved, I think, one of the biggest issues that they were facing, at least from developers, software engineers, Vibe coders, you know, people that preferred, Claude. I always said, you know, if you wanted something fast and pretty, use Quad Code. If you wanted something done correctly or if you cared about accuracy, you know, use at that point, I would say, you know, use g d four five or five four, pro or, you know, use codex, whatever. But now at least on the front end side, that is kinda gone if you just put in that extra step.
Jordan Wilson [00:39:20]:
So here is what OpenAI says about the new model. They say we're releasing GPD five five, our smartest and most intuitive, to use model yet, and the next step toward a new way of getting work done on a computer. GPT five five understands what you're trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished. Instead of carefully managing every step, you can give GPT five five a messy, multi part task and trust it to plan, use tools, check its work, navigate through ambiguity and keep going. The gains are especially strong in agent encoding, computer use, knowledge work and early scientific research areas where progress depends on reasoning across context and taking action over time. GPD five five delivers this step up in intelligence without compromising on speed. Larger, more capable models are often slower to serve, but GPD five five matches GPD five four per token latency in real world serving while performing at a much higher level of intelligence.
Jordan Wilson [00:40:35]:
It also uses significantly fewer tokens to complete the same codex tasks, making it as making it as well, as more capable making it more efficient as well as more capable. Alright. So here's the other thing, that's definitely worth noting. Alright? Artificial analysis. I I I I talk about it, you know, now and then on the show. Let me bring it up here. Why are not all the models showing? Alright. Alright.
Jordan Wilson [00:41:05]:
Alright, everyone. Today, the screen sharing is just giving me difficulties. Alright. There we got it. So, artificial analysis is essentially, an aggregator of all of these third party benchmarks. Right? So you don't have to look at these, you know, fifth you know, 10 different, you know, AI benchmarks. It just gives a score for all of them kind of combined to the most important ones or they have a a weighted way that they, put these together. And, essentially, you get an intelligence index score.
Jordan Wilson [00:41:41]:
So right now, which has never been done as far as I've been you know, I've been following the artificial analysis, their intelligence index since they started it, and I never recall a model having the top three. So there's different variants of GPT five five. So in this version, they have extra high. They have high. They have, what do we have here? Oh, that's five four. Okay. So, and then they have five four high and then five five medium. So, essentially, the scores, sixty, fifty nine, 57, 57.
Jordan Wilson [00:42:20]:
Alright. So those are the top four models. Alright. The the last two, GPT five five medium and GPT five four extra high are tied, with Gemini three one and Opus four seven Max that just came out. Right? But regardless, OpenAI has now number one, number two, and tied for number three models in the world. Alright? And, actually, the 60 to 57, so their top model is scored a 60. The next model, from Opus and Gemini, three one are 50 sevens. And three points, you might be like, oh, okay.
Jordan Wilson [00:43:04]:
That's, you know, that's nothing. It's actually a pretty pretty big jump. Right? So it's it's it's not something that, you know, a a SONNET four seven or, you know, maybe we'll see what Google does. You know, they have their IO conference, in a couple of weeks here. I'm sure that we're gonna see something from them. They may jump ahead, but it's extremely, extremely impressive. So anyone that's, you know, been saying like, oh, you know, OpenAI's models fell off, and maybe they did for a short while. Right? You you know, we saw these stories over the last couple of months.
Jordan Wilson [00:43:37]:
You know, OpenAI had a code red and, you know, then they dropped all these what they called side quests, to focus on their core product. Well, mission accomplished because not only did they have some of the biggest updates probably of the year, I mean, workspace agents, huge. Images two, the best AI model, and it broke all records for the biggest gap between number one and number two. And then you have the most powerful AI model in the world all in one week, All in one week. So, yeah, Anthropics gotta be sweating a little bit. Google, you know they're gonna be cooking something up for their big IO conference here in a couple of weeks. But regardless, there's gonna be a lot of new AI features coming over the next couple of weeks, and I'm gonna be here obviously helping you through it. So that's all.
Jordan Wilson [00:44:26]:
That's our seven fresh AI updates that you can use today. So I hope this one is helpful with the new Friday feature show. If so, let me know. Make sure you subscribe to the podcast, and then go to youreverydayai.com. Sign up for the free daily newsletter. Thank you for tuning in. Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.