Time to chat about AI #ai #aiassisted aipowered

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Good morning, LinkedIn friends, Value First Nation. Welcome to another episode of Value First AI Daily, your collaborative AI intelligence report. It is Friday, August 1, 2025. Nico's having some technical difficulties, but thankfully on Fridays, we've got the one and only George B. Thomas.

With you.

With us. How you doing, man?

Good. How you doing, buddy?

Doing great, doing great. Being honest. Starting to at least this week, maybe feeling a little bit low on energy at the end of the week. Feeling the effects of this just rapid, rapid pace forward. It is August already.

My friend will be wearing ghost costumes and vampires and all sorts of fun crazy stuff. Before we know it, Inbound will be long gone in the rear view mirror. Pretty soon, Santa will be coming down your. Okay, I'm gonna stop.

All right, all right, calm down.

Hold up now.

But for those of us hanging out in AI and and HubSpot land, it's slickity split, bro. Feeling like Christmas almost every day at this point. And I know George has discovered some things in the past 24 hours that, that we might get into. But first, I want to get George's take on this video that Nico shared with us this morning. Let me pull it up here.

Are you playing it? Because I have not had a chance to see said video.

Yeah, my favorite part, getting raw reaction.

Okay. All right.

Hi, I'm Pete from Manus AI. Earlier this year, the launch of Manus defined the genre of general AI agents and set the standard for what agent products should be. But to us, MANIS is not just an AI. It's a one of a kind personal cloud computing platform. Behind every mana session, there's a full virtual machine. And for the first time, user can dispatch cloud compute through natural language to complete everyday tasks. So we've been asking ourselves, how could we scale this compute power by 100 times? And what if anyone could operate a supercomputing cluster just by chatting? Today, our large scale virtualization infrastructure and highly efficient agent architecture brought this vision to life. Introducing Manus Wide Research, the first experimental feature built on top of this very foundation. In this example, we asked Manus to compare 100 different sneakers, look at features, pricing, design, sales and more. After initial round of data gathering, Mana spun up 100 subagents, each dedicated to researching one sneaker. These sub agents run in parallel at maximum concurrency and report the findings back to the main task. Just minutes later, we got a clear sortable comparison matrix delivered both in Excel and as a web page. Wide Research may sound like it's just about research, but what it enables goes far beyond that at its core, it's a system level mechanism for parallel processing and a protocol for agent to agent collaboration. The general liberty of MANAS is grounded in the Turing completeness of its underlying virtual machines. And that's why we've invested heavily to ensure that every sub agent is a fully capable Manus instance. Which means the only limitation is your imagination. Say you need to design a poster for an upcoming event or you're looking for inspirations. With Wide Research, Manus can explore 50 different visual styles at once. Because each sub agent is a full general AI agent, it can not only research its assigned style, but also generate a complete poster in that style. Just a few minutes later, you get a zip file full of polished, ready to use poster designs. Wide Research is available to pro users starting today and will gradually roll out to plus and basic users. It activates automatically when needed, no settings or toggles required. As an experimental feature, it still comes with some limitations, but it's already a milestone in our exploration of the scaling law of AI agents. It's just the beginning. Stay tuned.

I didn't even see that. That second part when I first watched. I must have looked away before seeing 50 posters created.

Wow.

Simultaneously.

Wow. Yeah, it's. There's a couple things that come to my mind. One, when it said 100 autonomous or a hundred, like one per shoe, basically go research this one shoe, I was like, wow. Like, the video makes it look really easy. I wonder what I have to do to that. So there's some technical side of like getting it to work that I'm curious about. But the power of it is really interesting. The 50 posters is crazy. If you're, if you're like a creative and you're looking for inspiration. Not that, not that it would be a finished product or maybe it would be, I don't know, they looked pretty dang good. But looking for inspiration and a direction to go, like, that's. That's pretty, like spot on to at least look at a bunch of stuff. Man, it's just getting really powerful. It's getting. Things are getting really powerful really quick. And the other part that comes to my brain, Chris, is it's hard to know what tool to actually jump on and use. And it almost feels impossible to use all tools because as I'm watching that, I'm like, okay, well, so what makes that different than like GPT agent that came out like earlier this week or last week or whenever it came out? You know, what makes that different than any other like, agent, you know, thing? So like, I Think there's a lot of questions for users of like, which platform do I use and why? I think there's a technical side of the brain of like, hey, the videos look great, but how in the weeds am I going to get and is it going to pull me away from my normal flow that I'm comfortable with or, you know, because I think people worry about losing time. We always talk about how AI can make us more efficient, but I can tell you, like, I've lost time because I've gone and done something that I thought I wanted to do and worked with AI for a while to then realize like, ah, you know what, actually I need to just go do some regular work and that sucker sits on the shelf. So that's lost time. I mean, it was cool and it was an experiment and it was, you know, it was fun, but in all reality lost time due to the ease of playing with AI anyway. And I don't know if that's where you. What you were looking for, but that's where my brain went as we watched that. It's like super powerful but also like these human decisions that we need to make as we move forward.

I'll take whatever George's brain gives me. Usually. No, I think that push pull between regular work.

Yeah.

And what could be like the possibilities here. I definitely feel you on having felt like you put a lot of energy into something and then it doesn't get used.

Yeah.

I will say usually and I know this is true for you, like there's some learning that comes out of that whenever we do put energy into it. That's where I think that's a big difference and a big. Like with AI, that's almost always an outcome versus a lot of the old ways is like you go build something that you built before and there's some technical glitch that gets in the way and then you've got to wait months for it to get solved or things like that. It truly is like, this should have worked the way that I have done it 10 times before and it didn't. It's hard to feel that way sometimes with AI.

Yeah. Can I ask you a question?

Sure.

Because I'm curious. There's something that's going around in my brain lately. When historically you used Microsoft Excel or Google Sheets, did you ever feel guilty for using Excel or Sheets? When. When you use Canva or Photoshop, did you ever feel guilty for using canva or Photoshop? HubSpot. You ever feel like it's cheating and you feel like you're guilty because you use HubSpot. Why is AI the first tool that makes us feel guilty when we use it? I want everybody to think about that. Well, these aren't my words. These aren't my thoughts. Well, that was too quick. Well, that was too easy. Well, they're cheating. They're not doing it the way that we used to write stuff. They're cheating. They're not designing it the way that we used to. Why is this tool, this assistant, this power, one of the first tools that there is guilt associated to, by the way. I don't have an answer.

Right.

But, Chris, this is something that I've literally like.