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Chrome, Gemini, Replit Design, and Buzz: 7 AI Features That Directly Impact Business Productivity
New AI features and platforms are emerging rapidly, but the true impact lies in their details, integrations, and immediate value for teams. A close look at the latest rollouts from Google, Replit, OpenAI, Meta, and Block reveals tangible tools and strategies that are shifting efficiency and workflow dynamics—not just on a theoretical level, but in deployable, practical ways for modern organizations.
Replit Design Suite: Streamlining Design Handoff and Brand Consistency
Replit has introduced a full creative suite replacing its previous Canvas tool. The standout aspect is persistent design suggestion—variations and improvements offered in real time without needing prompts. One notable integration is Mobbin, a reference library of 600,000 real app screens, now available at no extra cost within the suite, eliminating the typical paid subscription barrier.
The business value lies in the direct elimination of the export-rebuild step between design and engineering. For organizations without in-house designers or for project managers rapidly iterating on concepts, this shift means a project manager can produce ready-to-publish assets in alignment with an uploaded design system. The implications are significant: less time lost to coordination, stronger brand coherence, and increased velocity for shipping projects without specialist intermediaries. Startups and lean teams gain access to what would otherwise require multiple vendors or expensive subscriptions.
ChatGPT Chrome Extension: In-Browser AI for Research and Workflow
Recent updates to the ChatGPT Chrome extension present new ways to summarize and organize both video and textual content. Directly from within a YouTube page, users can receive AI-generated summaries or insights, eliminating the inefficiency of manual note-taking or toggling between tools.
Additionally, the extension’s ability to pull highlighted text or reference open tabs into side chat widens its utility. This creates a surface that operates not as a separate chatbot destination, but as a research and productivity layer woven directly into the browser experience. For any professional conducting research, overseeing knowledge work, or working with substantial browser-based information, this means fewer context switches, instant recall of past pages and notes, and improved project traceability—all inside existing habits and preferred tools.
Meta AI’s Shift to Agentic Productivity
Meta AI’s updated approach now supports recurring tasks, scheduling, and briefings via a new model, Muse Spark 1.1. Rather than only responding to prompts or functional queries, the AI now autonomously initiates briefs, highlights conflicts from the calendar, and can send routine reports and plans on a set schedule.
For business users in select markets, this shift allows project plans, restock alerts, and other repetitive workflows to run on autopilot. Notably, Meta leverages its deep personal context (such as social graph data and preferences), a resource unavailable to generic AI competitors. The result: more context-aware recommendations and automations that can track ongoing projects like renovations, fitness plans, or corporate scheduling with minimal reprompting. Organizations leveraging platforms with this contextual depth can accelerate onboarding, reduce friction in coordination, and automate tasks at the intersection of personal and professional spheres.
Google Gemini in Docs and Chrome: Embedded AI for Document and Web Automation
Gemini’s presence in Google Docs expands beyond drafting. The embedded AI can now generate and edit images, diagrams, and infographics using document content for context. Even more notably, Gemini now summarizes comment threads, drafts replies, and rewrites content per reviewer feedback—directly reducing bottlenecks tied to edits and approvals, which are often the real sources of delay in document workflows.
In Chrome, the Spark cloud agent now syncs with desktop sessions, leveraging a user’s logged-in accounts and saved passwords (with permission) to automate routine web-based errands. Tasks like scheduling, form-filling, and cross-referencing in Google Drive or Gmail now sit within a secure, AI-assisted agent. For organizations, this signals a maturation point where browser-based processes—often fragmented across multiple logins and manual steps—can be streamlined securely and reliably. The business benefit is clear: higher throughput for tedious tasks, fewer password/account bottlenecks, and smart utilization of the organization’s own Google data for informed actions.
Lyria 3.5: AI-Generated Music with Practical Licensing
Google DeepMind’s Lyria 3.5 enters the competitive music generation space with a focus on improved melodies, better prompt adherence, and higher fidelity vocals. The distinctive edge is on commercial licensing: Lyria-generated music, available via Flow Music with a paid Gemini account, comes with clear commercial rights and does not claim ownership, sidestepping litigation risks associated with competitors locked in music copyright lawsuits.
The practical takeaway for content creators, marketers, and video teams is access to high-quality, genre-flexible music—up to three minutes per piece—that can be used in campaigns and media assets without fear of copyright ambiguity. While the lyrics still lag in quality, the ease of iteration and genre blending makes this a value add for media production at scale, especially for organizations wary of complicated rights management.
Buzz from Block: Multi-Agent Collaboration in Team Workspaces
Block’s Buzz is emerging as a unique, open-source workspace merging both human and AI agents in a collaborative environment reminiscent of Slack or Teams—but with the ability to integrate multiple AI model providers (e.g., ChatGPT, Claude, open source models) into shared conversations.
Each participant—human or agent—receives a cryptographic identity, resulting in detailed traceability for every message, code change, or approval. For organizations keen on agent governance, especially at the infrastructure (not just policy) layer, this approach brings much-needed transparency. Smaller teams and those running project sprints across disparate tools and AI providers can centralize collaboration, ensure every agent’s actions are auditable, and avoid the complexity of custom integrations.
Conclusion: New AI Features, Immediate Business Payoff
The reality is that today’s business value isn’t coming from model releases alone, but from smaller, targeted features that automate overlooked workflows, centralize knowledge, and enable teams (with or without technical specialists) to act faster. Each highlighted update—whether it’s Replit’s frictionless design pipeline, Gemini’s document editing and Chrome agent, ChatGPT’s smarter browser presence, Meta’s context-rich routine automations, Lyria’s commercial-safe music, or Buzz’s agentic teamwork platform—brings immediate, actionable benefits that translate into saved time, increased access, and reduced process overhead.
Organizations prioritizing these tactical infusions of AI will see a compounding ROI across collaboration, content creation, automation, and multi-agent coordination. These are not future promises; they are actionable features available for immediate deployment in daily operations.
Topics Covered in This Episode:
- Replit Design Suite Launches With Free Mobbin
- ChatGPT Chrome Extension Adds YouTube Summarization
- ChatGPT Side Chat Integrates Tabs and Highlighted Text
- Meta AI Rolls Out Recurring Agent Tasks
- Google Gemini Generates Images in Google Docs
- Gemini AI Summarizes Comments, Edits in Docs
- Google Gemini Spark Agent Arrives in Chrome
- Chrome Agent Uses Saved Accounts and Passwords
- Google Lyria 3.5 Music Model Released
- Buzz by Block Unites Team and Agent Collaboration
Episode Transcript
Jordan Wilson [00:00:15]:
Even though we still don't have a new frontier model from Google, well, they kinda went on a small tear this week in terms of new and helpful AI updates we can actually use today. I mean, their Spark agent now lives inside of Chrome. Google Docs got a huge AI glow up, and their new music model is pretty impressive. But Google drops weren't the only new AI updates we got this week. We got helpful updates from Chad GPT in Chrome and codecs, a new Vibe design contender, and a new Slack like platform that's mainly for directing agents from all providers. Yeah. You can't stop following the AI updates. I know this week was full of drama, open source, and, you you know, is the government gonna slow things down? You know, people from the big companies saying maybe we should slow down, but here's the reality.
Jordan Wilson [00:01:10]:
You can't, because these new updates are rolling out. And sometimes we think it's just the big new AI models that change how we work. I beg the opposite. A lot of times, it's these smaller, AI features that you might miss that might actually have the biggest impact. And that's why we do our Friday features show where we tell you the best new AI features you can actually use today. These aren't wait list. These aren't leaks. These are coming soon.
Jordan Wilson [00:01:38]:
This is like, hey. Hit pause on this podcast. Go log in, and let's learn about it together. So on today's show, here's what you're gonna learn. You're gonna know why Google is amaking AI noise in your browser docs and ears. You're gonna know the new chat GBT browser magic you can cook up, and you're gonna know the new Slack like platform that's made for your agents to work together, but with you directing them. Alright. Let's get into it.
Jordan Wilson [00:02:03]:
Welcome to Everyday AI. My name is George Wilson, and, well, this thing's for you. It's your daily livestream podcast and free daily newsletter, helping everyday business leaders like you and me not just keep up with AI, but how you can all actually get ahead to grow your company and your career. So if that's what you're trying to do, make sure to subscribe to the podcast, but also check out today's newsletter. We're gonna be recapping the highlights from today's show as well as giving you the one zero one of everything you need to know that's going on in AI world. Alright. So let's get straight into it. A lot to cover today in our Friday features segment.
Jordan Wilson [00:02:40]:
First, a new contender in the Vibe design arena, and it's from Replit. So Replit launched their Replit design, and here's what's new. It is a full creative suite that's replacing Canvas, where the tool keeps offering you design variations as you work instead of waiting to be prompted. So it is directly built in. Sorry. Mobbin is directly built in, which is a reference library of 600,000 real app screens that normally require its own paid subscription. So you can upload a design system once and everything you make just snaps to your brand. So this is, if you have a paid Replit account, you don't have to pay anything extra, and it's actually free for every user with no tier gate announced, which is kind of unusual for something this model heavy right now.
Jordan Wilson [00:03:36]:
Also, that mob and access requires no separate account and no additional cost. So here's kind of why it matters and who should care. Well, I mean, I think the target here is kind of the handoff, not like the drawing. So Replit is better at, you you know, is they're kinda betting that the export and rebuild step between design and engineering kind of disappears, and that's a direct shot at where Figma sits in the workflow. So they're just giving away also a paid reference library for free. That's a distribution play. And the the quieter implication here, though, is the org design. So, like, when a project manager can produce something that's publishable, the question of who makes the first version stops being so obvious.
Jordan Wilson [00:04:19]:
So who should care? Well, founders, project managers who are shipping without a designer on staff. This is big. Right? So I I I do think at least for Replit, this is one of the the bigger, missing pieces. Right? Obviously, Replit is kind of a full stack vibe, coding app, but the design piece left something to be desired. A lot of times you had to use, a separate, you know, project a product and bring it all into Replit. So here is what Replit says about the new Replit design. They said today we're launching Replit design, a new creative suite where anyone can shape what they see as fast as they can think. Replit design is the fastest way to go from idea to design.
Jordan Wilson [00:05:01]:
Ambient intelligence guides and inspires you at every step. And because everything lives on Replit, there are no handoffs, exports, or rebuilds that cause you to lose the beauty of what you created. You don't need to be a designer. You just need to know what you want to bring to life. Create with your choice of the world's leading models for design, including Claude, g b d five, Gemini, Kimmy, and GLM. So I do hope that something like this becomes the status quo, in Claude, Codex, everything else because it it's actually really cool. So a lot of times, right, the way I like to start kind of vibe, projects is first, I find inspiration, and then I'll usually upload that inspiration, into either Claude Design or, I love, Google's, Stitch. My gosh.
Jordan Wilson [00:05:57]:
Like, I I I speak so much AI and use so many. Yeah. Is it Stitch or is it now I'm gonna have to look it up. It's like, oh, I only use this, like, all the time. Yeah. Google Stitch, absolutely fantastic. Love Google Stitch. You you know, it just kinda gives you entire mock ups, and, you know, it's powered by Nano Banana.
Jordan Wilson [00:06:15]:
And I also use GBT image, too. So images too. So I usually start, and it's is usually kind of a multi step process for me. So if you all if you are already a heavy replit user and you just haven't liked the visuals of what you've been able to get with replit, I think the new replit design is obviously a no brainer. It's obviously not an additional cost. You know, with the mob and library, it's it's it's a pretty good kind of no brainer setup. Alright. Our next one, a small one for chat g p t, but at least for me, I'm like, okay.
Jordan Wilson [00:06:53]:
I'm gonna be using this all the time. So this is an update to the chat g p t Chrome extension. So the Chrome extension now answers questions about any YouTube video. Right? That's one thing I obviously do, a lot of is watching YouTube videos in two x or in 2.5 x. I get a Chrome extension to make you go even faster. So that's great. You know, that's one of the main reasons that I would still use the Ask Gemini, tab inside of Google Chrome is just to, quickly recap YouTube videos. So that is now in the chat g p t Chrome extension, which is new.
Jordan Wilson [00:07:30]:
Right? It's it's completely new as of, like, three weeks ago. Also, you have the, opportunity to now mention open tabs or pull highlighted text straight into the side chat. So if you don't if you kinda missed the, the new chat g p t Chrome extension, it's really good. So the new version of this came out, kind of alongside GPT 5.6 and, ChatGPT work kinda the super app. But, essentially, in what I love is it's completely different than the old ChatGPT Chrome extension. It has all of your conversations that are there. So that's something I love even though I am using the built in browser, a ton in, you know, chat gbt work slash codex. It's actually usually pretty busy, if that makes sense.
Jordan Wilson [00:08:23]:
Like, I sometimes have, like, dozens or hundreds of automations a week that are using the browser inside of Chad g b t work slash codex. So sometimes because of that, and I'm like, okay. I'm really just straight up abusing codex chat g p t. I'll still use Chrome for that reason. Right? It's like I don't wanna throw anything off. I'm just gonna let, you know, essentially, my agents, that's their browser, and I still use Chrome a lot. So, I do love the new ChatGPT extension, and these new features are really cool. So ChatGPT can obviously search your browsing history, so you can ask it to find the page that you read Tuesday instead of hunting for it.
Jordan Wilson [00:09:01]:
So who has access to this right now? So any desktop app users, who are obviously, you know, have the most up to date build, but the tab in YouTube features do require the Chrome extension specifically. So, there's no plan tier restrictions for these. So, yeah, you don't even have to be on a certain paid plan. So why does this matter? Well, I think this is the, kind of the assistant moving from a place you go to a layer that sits on top of what you're already doing. So it's a different product category than a chatbot. Even for someone like me. Right? My codex is open at all times. I love the new Chrome extension.
Jordan Wilson [00:09:42]:
Right? Even just being able to watch in real time, like, hey. What is my, you you you know, where is my codex this thread I'm at that's maybe an important thread that I'm watching to just be able to click a button and see it without having to change. Right? Especially when I'm on my laptop, you you know, without having to, you you know, kind of switch the flow of where I'm at. I think it's actually super helpful. So who is this gonna impact? Well, I think anyone whose research happens across 20 tabs and, you know, especially if you're watch watching long form video, those kind of things. So anyone that's a researcher, if you're a student, or if you're just doing heavy knowledge work, inside Chrome, it's it's gonna be something that I think is gonna be extremely helpful. So let's get to our next AI update. And, well, this is Meta.
Jordan Wilson [00:10:34]:
And Meta is making that shift slowly but surely, from an AI chatbot to, well, something a little bit more agentic. So here is what is new, with Meta's new AI tasks. So Meta AI now runs recurring tasks and daily briefings instead of just answering questions or pulling, from your calendar to flag conflicts and also summarize what's coming. So you can set something up once like a weekly weekly plan or, a restock alert or whatever, and it's just gonna run without prompting. So this is driven by the new Muse Spark 1.1, that is Meta's, agentic model built for tool use essentially. So who has access to this right now? Well, it's in select markets only, so this isn't a global rollout, and it is just in the Meta AI app and at meta.ai. So, yeah, this isn't where, you know, in all the other platforms. Right? WhatsApp, Instagram, all that stuff.
Jordan Wilson [00:11:35]:
So why does it matter who's gonna use it? Well, Meta has spent a year, like, telling everyone it wasn't gonna chase productivity tools, but it just kinda did. Right? But I think, ultimately, you know, Meta realized that this is what people want. Right? People want, to be able to set it and forget it. Right? They want a gigantic scheduling. Right? This is for me one thing I do every single day. Right? I'm always looking to get things on a routine or a schedule. Literally, like, my first thing I do is, well, I check my overnight runs, you know, when I have my agents working third shift. So that's what I do in the morning.
Jordan Wilson [00:12:17]:
And then at least recently, right, I'm using ChechiPT Voice and getting outside more. Right? Like, the weather is nice now right now in Chicago. So taking, like, more walks in the morning and just going through all my threads and making decisions right there with chat g b t voice. But for the most part, if I'm not, if I'm prompting, I usually think there's a problem. Right? So if I am prompting, well, after I prompt and, you know, if I'm calling on multiple skills or whatever, you know, I'm usually gonna turn that into a skill or a plug in and then schedule that. So it is good to see Meta here, you you know, finally offering something in terms of scheduling. So, Meta's actual asset is, you know, it's personal context that nobody else has. You you know, mainly your social graft.
Jordan Wilson [00:13:03]:
So that's ultimately, I think, what's gonna be their moat. And I think, you you know, who's gonna use Meta AI? I'm not sure. Right, even when they, you you know, came out with the new model, had it for free and all these features, it's like, okay. I go in there and they're, like, fine. They're okay. But even I mean, I don't know. Just with the amount of, free, that you get from Chatt GPT, you know, everyone else is cutting the subsidies a little bit. Right? Google used to be very generous, not as generous anymore, but still, I don't know.
Jordan Wilson [00:13:35]:
If you have a paid subscription, I don't think you really necessarily need to use the new Meta AI, but let's at least, talk about what's new. So here's what they said. You've been using Meta AI to find answers, think through ideas, and create content. Now it can go further and actually get things done for you. Meta AI can now make plans, follow through on next steps, and keep you on track without needing to be reminded or reprompted. Tell me to tell Meta AI you're renovating your kitchen, and it will learn your style, scout marketplace for furniture and fixtures that fit your budget, and send you a mood board so you can see how it all comes together. Ask it to help you build a running plan for your first half marathon, and it will create a week by week training schedule, adjust for your availability, and share your plan for the week, every Monday morning or ask it to plan a birthday dinner, and it will find restaurants, check your calendar for night that works, and suggest options. Alright.
Jordan Wilson [00:14:28]:
So pretty cool. Am I gonna use it? No. But I don't know. If you're a heavy, Facebook user or if you don't have any paid subscriptions, maybe. Right? The new Muse Spark 1.1 is actually a really good model. And if you are I don't know. Maybe you're, you know, you work in social media marketing, advertising, so you're always using the meta platforms, then it might make sense. Alright.
Jordan Wilson [00:14:51]:
Next. Yeah. Now we're getting into the Google portion. Three straight Google updates for everyone. So the first, a big Gemini, Google Gemini in Docs glow up. So Gemini can now generate and edit images, diagrams, and infographics inside of Google Docs using what you've written as context. So it also works your comment, threads, summarizing them, drafting replies, leaving new comments for you, and rewriting sections based on review or feedback. So who has access to this right now? Well, you have to be on a paid plan.
Jordan Wilson [00:15:28]:
So either a, work, workspace plan, standard plus, or just an individual, you know, plus or AI Pro Ultra plan. So image generation though is web only, and the comic features require edit access to the document. The rollout is gradual, although it is already starting to roll out to those tiers. So, why does it matter and who should care? Well, this is like the boring productivity win that actually produces ROI. Right? Drafting was never really the bottleneck in document work, especially when we have, like, AI everywhere. It was more of, like, the review cycle and, you know, those 40 unresolved comments. Right? That's where the project sometimes stalls. So it's good to see that, you know, Gemini is starting to, you know, infuse more of its AI into Google Docs.
Jordan Wilson [00:16:21]:
I would say, you know, of all the Google products, I'm very heavy in Docs and Sheets. So I do think Sheets has been a little bit more ahead of the game in terms of how they've worked at Gemini into the fold. I think Google Docs has been a little bit behind. So this is pretty, you know, a pretty good, update in my mind. So who should care? Who's gonna use this? Well, I mean, especially if you are a heavy, Google Docs organization, leaving a lot of comments, going through, working with multiple versions of documents, that's gonna be good. But I I think one thing that could be good is people who are still just writing old school blog posts. Right? And maybe you need visuals. You know, working in Nano Banana into Google Docs, that's pretty nice.
Jordan Wilson [00:17:07]:
Right? There's a an AI tool I used to use a lot called Mapkin. Right? So it's kinda like what I think of, right, where you could put in a bunch of text and, you know, make some visuals and charts and graphics. Right? So you can obviously do that with Google's nano banana, but also images as well. So, you you know, I think if you, you you know, really are comfortable in the Google Docs interface and you do need some of those other features, well, now you don't have to do a bunch of copying and pasting and context switching. You can just get it all done in Google Docs. Alright. Next, staying on the Google train, choo choo. We have their new, always on twenty four seven agent, Google Gemini Spark, is now in Chrome.
Jordan Wilson [00:17:53]:
So Google's always on cloud agent Spark now plugs into desktop Chrome. And if you do give it permission, it can use your logged in accounts and saved passwords. And that's the big thing right there. Right? Like, that's one reason for me. I absolutely love the new codex slash chat g b t work update because it does integrate all your Chrome passwords, and that's huge in terms of what you can actually actually accomplish, with an agentic browser or an agent that uses a browser. Right? Because if you're, you know, your first go to is always gonna be using a direct integration, or an MCP. But, you know, so many things at least that I use don't have a direct integration into, you know, Cloud Code or, Chad GPT, and a lot of them don't even have an MCP. So then it's well, give the agent your credentials if you trust them and if you're allowed to, and we'll have them do the work for you.
Jordan Wilson [00:18:51]:
So that's a pretty big update there from Google. So let's just talk, this is from their, their page. So they say today we are expanding Gemini Spark to more users around the world and adding a new feature to help you handle complex web errands. Here's a look at what's new. So they say handle web errands with Chrome auto browse. So they say we're taking Spark's web browsing capabilities even further by integrating directly with Chrome. Now with your permission, Spark can use your logged in accounts and save passwords to handle tedious web errands, like scheduling viewings for apartments you're, saved or researching flight options and starting the booking process. This is all done while protecting against threats like prompt injections and keeping you in the loop on sensitive actions such as payments by handling by handing the task back to you.
Jordan Wilson [00:19:45]:
These capabilities are initially rolling out in The US with plans to expand to additional regions in the future. So there you go. So right now, it is starting in The US with paid plans. So, yeah, if you're a heavy, Chrome user and you have a lot of repetitive tasks, I don't know why. Right? All the big companies do this. Right? People always show the demo. It's like, oh, you know, adding things to your Instacart app or, you know, booking tickets. I don't know.
Jordan Wilson [00:20:15]:
For me, for those things that are ultimately requiring a transaction, I don't necessarily want to go agent on those. Right? At least not to the point of adding my card. Maybe find me the five best trips. Sure. That's fine. But I don't know. For me, like, I think it'd be really cool if all the companies would stop using, you know, personal errands, because this is actually a big, big step forward, for Gemini, in Chrome and the spark agent. And like we talked about, I think it was either last week or the week before.
Jordan Wilson [00:20:49]:
Right? So the spark agent is now here, right, which is really cool. So before, it was only on the Ultra plan. So now if you have a paid, Google Gemini plan, well, you have Gemini spark, which is, you know, essentially their version of, like, an open claw, or like a, you know, just an agent that lives in the browser. Right? It's browser based, not desktop based. But I don't know. For me, I would have liked to see some, more examples and use cases on using this for work. But anyone that's drowning in scheduling, booking, comparison work. Right? If you're in security or IT, you you know, anyone comparing agentic browsers also.
Jordan Wilson [00:21:31]:
Right? Like, if you are a heavy Chrome user or maybe you can only use Chrome. Right? This is a great way to marry, you know, your Google data because that's the other thing. It can access and understand anything in your Google Drive, your Gmail, etcetera, and then use all of that information on the web. Right? So, yeah, things like filling out, forms. Right? That's something I would love to use something like this for, and especially having it directly connected, to all your Google data. Alright. Our last Google one is Lyria free. So this is Google's new AI, music maker.
Jordan Wilson [00:22:09]:
So, yeah, if you know, like, Suno or Yudio, Lyria, now three five, is out in new from Google. So this is Google DeepMind's newest music model with what they say is better melodies, lyrics that follow the prompts, more expressive vocals, and direct control over tempo and length. So vocal delivery is the specific target, which has been the thing that kind of gives AI music away. So who has access? Why does it matter? Who should care? Well, it's available in flow music. Alright. So, I think I hope eventually they'll bring this to Gemini. You know, previously, when they rolled out, I think, Lyria three, it was available in Gemini, on launch day. So this time, it's not.
Jordan Wilson [00:22:54]:
It's only in Google Flow Music, which is actually a really cool program. It's kind of like a Vibe Music. Right? You just kind of chat with the chatbot, and you can make iterative edits, which is really cool. So it's available in Flow Music. You do have to have a paid, Gemini account to use it right now. And then also, it has commercial use rights that ride on those paid tiers. So, Google says it does not claim ownership of the original content that you generate. So the story here is licensing, not necessarily audio quality because Suno and Yudio are both inactive Sony Music litigation, and Google trains, they say on licensed data.
Jordan Wilson [00:23:40]:
So this is the third though meaningful leery of release in, like, six months. That tells you that Google is treating AI Music as an actual product line, not just, you you know, something they're toying around with. So who should care? I mean, if you're a video team, a podcaster, right, a a creative, you you know, marketer, advertiser, the the cool thing is that I didn't know is well, the songs are, like, three minutes. Right? And the songs are actually pretty yeah. Okay. I won't say good. The lyrics aren't good. Alright? But you can, you know, use a different program to to bring the lyrics.
Jordan Wilson [00:24:19]:
Before I started recording here, I I tried, I don't know, five, six, seven songs. And, like, the cohesion was great. Right? I was having it blend, like, two extremely different music genres, and I'm like, okay. It actually did a really good job. Right? And the vocals were, on beat. They were on point even when I was throwing in these mixed genres. But sometimes, I won't say the lyrics were nonsensical, but the lyrics were just lyrics. Right? And I think Suno does a much better job.
Jordan Wilson [00:24:52]:
Like I said, obviously, for any AI music platform, you can provide your own lyrics, but a lot of times you don't necessarily want to. You know, with a little bit of prompting, they get a little bit better, but I don't know. To me, the lyrics were still just kind of, slop, or slop ish. Right? Better than they were, but still not great. Although they sound really good. Right? Like, the different you know, I tried out all kinds of different genres. Like, it sounds like good music. And then when you listen to the lyrics, you're like, this is a little sloppy.
Jordan Wilson [00:25:25]:
But overall, if you want to do your own lyrics and if for whatever reason you need, you know, audio, music generated for something, pretty pretty good to check out. Alright. Last but not least, and this is one aside from, like, mentioning it once in our newsletter. I haven't talked about this, and I've actually been enjoying, kind of toying around with this. It hasn't, at least for me, gotten, I don't think production ready yet, but it very well could be just because the company that's behind it. So here's what's next. This is Buzz from Block, the parent company, for Square. So this is kind of like a Slack look alike that's built for teams to essentially talk with agents from any provider.
Jordan Wilson [00:26:13]:
Alright. So, yeah, you can bring your whole team in both all your humans. So it is like Slack. It has channels and at mentioning and all those things. But, essentially, you can bring all your different agents in too. And then you can, you you know, like, as an example, you know, just like you would on Slack or Microsoft Teams, you can, you know, put in you know, you can bring in your skills, which is really cool. And then you can, you know, have, you know, as an example, codecs start on one thing, hand it off to Claude. They go through, then they hand it off to, I don't know, an open source model, have them work, collaborate, talk amongst themselves.
Jordan Wilson [00:26:49]:
So the thing here, it's really nice. I don't know if I'll actually use it and here's why. Maybe it's more of like, I've spent so much time getting this very thing set up in codex. Right? I use, like, I've created bridges, you know, from codex to Claude and vice versa to other, you know, other model providers. So at least for me, I'm usually working with multiple model providers in codex or Claude code. But, I mean, I still have been having fun experimenting, with Buzz. It is an open source project. So, it is, you know, every participant, whether it's a human or an agent, they get their own cryptographic identity, which means that every message, code change, and approval kind of leaves a signed trail.
Jordan Wilson [00:27:35]:
So agents join as members with scoped permissions. So that's important, not as bots like waiting on a slash command. So it's free and open source under, Apache two point o. So you can use blocks, hosted version. You can download the desktop app, or you can self host it entirely. I do believe they also just came out, with an iOS version and an Android version. So there's mobile supports. And, out of the box, it works well, with quad code, codex, and, blocks agent as well.
Jordan Wilson [00:28:08]:
But there's different ways, I think, can use, like, through open router that essentially you can bring any model in. So I think this is like an answer to not an answer, but a potential answer to agent governance, for smaller teams at the infrastructure layer rather than at the policy layer. And, like, that distinction's kinda like the whole point, because most companies can't just tell you which actions in their logs came from a person and which ones came from an agent. So this one is kind of like leaving that agentic agent trail. Right? It's leaving saying, hey. These agents did this. The human said this. Right? So, obviously, if you're using, like, Microsoft Copilot, I think they're actually kind of a a leader in the space in terms of that, kind of large teams working with a lot of, co palettes and being able to trace, you know, whether it's through intra ID or something else, being able to trace every single thing.
Jordan Wilson [00:29:04]:
I think some of the other players have a little bit more to keep up on. So it's nice that a new open source platform like that has that built in and as a core feature. So, here is, what Buzz says. So, technically, Block says about Buzz. So Block said, today we're releasing Buzz, a free open source collaboration platform where humans and AI agents work together in a shared workspace. It's available now at buzz.xyz. Over the past two years, we've built and open sourced a series of AI tools at Block. Through all of it, we've come to the realization that the most productive work doesn't happen when someone asks AI for help.
Jordan Wilson [00:29:42]:
It happens when humans and agents are in the same room working on the same thing with shared context. There was no platform designed for that, so we built one. So it's I think, right, it's open source if you already have, like, someone like me or larger teams that they're generally using a lot of different subscriptions, and you have different skills or preferences of using certain models for certain purposes. I think it is worth exploring to see if it can maybe be a stop gap. I think eventually, I think we're gonna see this type of, interaction probably in codecs first, and I would assume that when Microsoft comes out with their super app, which would be, you know, any day, any week now, I I would think that, Microsoft will eventually have some collaborative features. I would say the same thing, obviously, for Claude and Gemini. So I don't think this is, like, where you're you know, you should throw away your current harness or anything like that. But for smaller teams or for project sprints that you know that you're gonna have to work with multiple teams or multiple team members that are using different harnesses, different models, it actually might be good for instances like that.
Jordan Wilson [00:30:55]:
Scope it out first. This is brand new, but it looks promising so far. Like I said, for me, I don't think I'll be using it. We're a small team, and I'm so codex pilled. Right? And, you know, I like I said, I've built the bridge from codex to Claude and Claude to codex. So I don't necessarily aside from, like, being like, oh, this is fun. This is cool. I don't necessarily have a good use case for it, but I think for, many of you out there, it's gonna be something definitely worth looking at.
Jordan Wilson [00:31:23]:
Alright. That is a wrap for the seven new AI features you need to know. So a quick update. Replit design is out. It looks really nice. ChatGPT desktop and Chrome extension updates allowing you to, summarize YouTube videos or mention at mention, other tabs and pull info from there. Meta shifting from just an AI chatbot with Muse Spark 1.1 to just schedule agentic model that gets work done for you. Google with a ton of new updates, some new updates with Gemini in Google Docs, their new, Gemini Spark integration in Google Chrome, and the updated Lyria 3.5, model.
Jordan Wilson [00:32:10]:
And then, last but not least, we just have buzz from block. Good way for, you and your team to talk to many different agents. And I don't know. Just have them fight it out and watch it and eat popcorn and have fun. Alright. That's a wrap y'all. So, this was helpful. Yeah.
Jordan Wilson [00:32:26]:
We do these kind of themed shows a couple of times a week. On Friday, we bring you Friday features. These are things AI tools and updates you can actually use now. On Monday, we go over the AI news. Y'all, I'm telling you, this week was crazy in AI news. Right? Not just like you know, it wasn't necessarily about model releases. It was about agents going loose, you know, laws, regulations, nuts. And then on Wednesdays, we do hands on demos called, putting AI to work on Wednesdays.
Jordan Wilson [00:32:53]:
And Tuesdays and Thursdays, we rotate our shows. So I hope this is helpful. If it was, please do me a favor. It takes you, like, ten seconds. Make sure to subscribe or follow, the podcast on Apple Podcasts and Spotify, then go to youreverydayai.com. Thanks for tuning in. We'll see you back next week and every day for more everyday AI. Thanks, y'all.