OpenAI Dots vs. Grok Bot vs. Muse for Business: Who Wins? Plus Best Use Cases

OpenAI is now in the agent game. They just came out with Dots and I want to show a comparison, OpenAI Dots versus Muse versus GrokBot. I want to show which one's actually better when it comes to work, how I would think about doing it, and also the best use cases. There's also this interesting comparison here from Every. You can see they talk about the different value propositions here. If we look at GrokBot here, we look at Muse over here, we look at Dot. The value proposition for Dot is it's always-on agent in ChatGPT, which I'm going to show you my use cases in a second. I think The the most ideal way to to use this in a moment, and then for Gemini, sorry not Gemini, but Grokbot, you can see name bots in a shared workspace. And so Muse, you can see its goals, ideas, everyday life. And then for Dot, you have one agent, and then Grokbot, you have multiple, and then Muse, one agent, right? So the way I look at this overall is that you have ultimately there's no solutions for anything; there's only trade-offs, right? That's that's a quote that I really like from from Thomas Sowell, and you can see here. From a proactivity standpoint, Instinct is actually very proactive, which we're not talking about for this one, but Muse is goal-based suggestions. And then you have GrokBot, which is scheduled to trigger tasks just like cron jobs. And then background research and scheduled tasks over here. And you can see where these run and all that availability and cost overall. The first one is actually included inside your OpenAI subscription. And then for Muse, it's free, which is already pretty good. I pay for the $20 a month one. And then for GrokBot, you have to be paying for it as well. And so again, we're talking about this in the context of work. And so let me just pull up my bot just to show you how it looks. And my bot, I've named it as Doodoo. And it's actually the same name as my MuseBot over here. So Doodoo is a frog, right? And you can see over here, I've named it and I said, hey, what's the highest leverage thing we can do? It's like, oh, you have this Semrush deal, sponsorship deal for $8,500. which I'm just letting it work through. I'm like, hey, what else can we do here? What I'm noticing here is that there are some limitations. My take on this is that at the end of the day, I think OpenAI knows that the agent space is getting very competitive. My take is they are going to make this better. I think they just built this pretty quickly and just shipped it. But I find it to be pretty limiting if you're just using it within ChatGPT. The other thing too is you're going to have to remind it that it should probably be pulling memories from Codex. And so I think the leverage you're going to get is actually putting it into Slack. Okay? So I'm going to show you my Slack in a moment, but when you put it inside of Slack, you can pull the memories that you have from your Codex, a lot of the files that you have, and then have your team collaborate with you. Because the thing is, for me, a lot of the files that I have, like different web designs or different landing pages and things like that that I mess around with, or maybe even thumbnails and things like that that I'll mess around with when I make a video like this. It's easier for me to just pass it off with my team inside of Slack, right? You know, unless this becomes multiplayer, which I think at some point it will. So anyway, I was working on it through here. I'm like, okay, like it seems to be lacking a little bit. And then I'm like, you know what? I'm just going to connect it to Slack. So let's take a look at that. Okay, so this is me moving Doodoo into Slack. Okay, so you see the frogs over here. I just literally— Slack connector and you're good to go. And so what I actually was working on today was we're already working on drafting our AI content policy because people have started to throw more more slop grenades at each other. So I liked what some of these other people have talked about. I was like, hey, here's our AI policy over here. And then here's what some other people have mentioned about their policies. And then it drafted it and I said, hey, I want you to give me a document. It looks like it's linked inside of Google Doc, which is great. This is no different than you working inside of— you can work inside of Codex to do this. I just wanted to see what it can do here. But then I started to insert it into channels. So we have this We had this little AI working group channel over here. And so for example, I was like, hey, I shared this keynote over here. I'm like, hey, can you just summarize this keynote? Because I often will share a lot of links inside of my channels. And so I was like, okay, well hey, summarize this. I'll pull the video's main points. Okay, great, it does that, right? And so this is good because for me, what's cool about putting your Dot into Slack is that you can talk to it and then people can see you interact with it and you can have it share files. Other people can see what's going on and you can collaborate with those people, but they cannot talk to your bot, right? And so by default, it's a little more secure that way, right? And so I'm asking to summarize things and also at the same time, Chris is like, hey, I set up a scanner to summarize the top tweets of the intersection between AI and marketing. And then Eric was mentioned number 1 by Claude. I was like, okay, well, let's see what ChatGPT comes up with, right? So I was like, who else would be viable influencers? And so it gave a list of these people. And I was like, hey, does this seem relevant over here? And not only that, let's imagine that we're in a sales chat or something like that. I was like, hey, what other context can we feed into this based on other work that I've done? So for example, I'm planning a global AI summit that's happening in November and there's probably context I can feed in there, right? So imagine if you have a design channel or you have a YouTube channel, more so like a YouTube team channel that you want to interact with. And everything that you've worked on in here, whether it's like a coding thing or like a design thing or like a written thing, you can send those things to your team and then have them comment on it versus just having it inside that harness. So I think that part is very valuable in terms of how you go about using Dot or Dots, whatever we want to call it. So here in this case, I'm like, this is outdated. I'm like, this is something— I'm like, what is this? This is not something we worked on recently. So I was like, hey, can you pull from Codex memory instead? And so then it pulls this up and this is actually the thing that I was working on. This is the new— this took me like 15 minutes to spin up. I'm like, okay, this is good, but I want to hand it to real designers to take on from there. And I was like, hey, what about the meta landing pages that we made? I'm like, okay, this is good because now I can send this. We actually have the zips for both of these and the handoff bundles in here. I'm like, okay, That's great. And then by the way, I'm just going to do this. Hey, now that you've seen me work like this, what are some other outside-the-box ways we can get the work that you and I do inside of Codex over to my team? Because this is really powerful because I want to be able to hand these things off, maybe put them into Figma, maybe allow people to comment on them, maybe put them into Spaces. But just tell me what you think is outside the box. So the cool thing here is I'm using GPT-6 Astra, which is the most powerful of all the agents, I think, of any of the agents listed earlier, whether it's Dot, Gemini, Gemini Spark or GrokBot or Hermes or Instinct or Muse or OpenClaw. I mean, obviously with Hermes and OpenClaw, you can use whatever model you want. But I'm just going to let it work here and then it'll respond to me when it responds to me. But I just think you have a lot more opportunity when you put this into Slack or Microsoft Teams. So I don't think it's a complete failure in the beginning. I think if you're just using it inside of Codex, I think there's a lot more to be desired. So from a work standpoint, this is how I'd use it. I think this is the This is the optimized way of playing the game with Dot right now, and obviously it's still early days. Okay, so the next one is MetaMuse, and you can see Doodoo is over here now. Um, and my thing is, if anything is related to organic social or it's related to paid social, I'm going to have it run through MetaMuse, and obviously it's free. By the way, if you're enjoying this video right now, check out Single Grain with a G. So Single Grain is where we help people build these managed marketing agents. So scaling AEO SEO, scaling Reddit, Scaling creatives, scaling cold outbound infrastructure. These are all things that we build and we build these managed marketing agents that also live inside of Slack and Microsoft Teams so they can interact with your team, our team, and so we can just move a lot faster. And this is the future of how we believe that service is going to look, services as software from a marketing angle. So singlegrain.com and we'll see you on the other side. And so if it's connected to my Instagram from a work standpoint, I'm like, okay, well what have I been bookmarking from a— 'cause I bookmark a lot of social posts that have different hooks or different ads that I like. And I can ask, what are the trends around them, right? Or it can just, because it's connected to my Instagram, I'll just say, hey, I want to run Meta ads and I want you to look at the organic Instagram Reels that have performed well in the last few months that would be good for ICP fits or ideal client profile. And you tell me what call to actions you need me to record afterwards. And then we can eliminate the previous call to actions because we want a call to action to tell them to get an offer or something like that, right? And so you can see here, it basically did these cuts. And so it'll edit for me. It'll find the right videos as well. It'll also propose the strategy too, right? And so it'll say, hey, here's the call to actions we need. And also here's what we need for launch. And also what pages we need, what connectors it needs as well. And it literally drafted these, the ads, all the setup, everything. It handled that. So if we're talking about getting something to end-to-end where it can handle it for you, This can do it, right? And it's only going to get better over time, right? And so it's like, yeah, we're about 80% there. Your part is done already. And so what I'm doing right now is obviously we need to create landing pages. And so I had Codex design those landing pages, which you kind of just saw a moment ago when I was previewing with Doodoo inside of Dot, right? So there's Dot Doodoo and there's Muse Doodoo. So anyway, so I was like, okay, Well, we need to get those pages up. Well, I don't want to log in there. So we use WP Vibe, which is the MCP tool that I love using from WordPress. So WP Vibe is awesome for that. It'll spin up, the landing pages will move over. We'll make sure the forms are working as well. We'll make sure the tracking is working as well. We need to make sure the offers are working. We need to make sure we have the right widgets. There's a lot of testing that still needs to happen. And so this is why the human in the loop is still very important at the very end. So don't just think when I say end-to-end, like, oh, just YOLO and let it do its thing. I think if we're talking about optimizing your paid media and optimizing your organic social, I think this does a good job, right? Another good example here would be trial reel testing. And so, I just like, oh, look, it actually worked today. It's like, hey, here's some new hook variants that are ready for the different videos that you made and let's go ahead and publish them, right? And then I just make sure that I connect it using the Metricool API to publish. And so, this actually means That you are no longer held back by any resources, right? You can just get this all done on your own. And so for me, I don't want to wait on somebody else to get the stuff out. Like as soon as I record it, I just want to get it out there, right? And so before you had to, you know, wait for ideas to come to you and then you have to wait for the next person to edit it and then you have to wait for someone to schedule it for you and then you have to do this. And I'm just like, dude, doo doo, we'll do it. Doo doo doo doo, right? Doo doo doo. We'll just leave it at that. So anyway, there's other stuff like I'm having a fight for a refund for— or it's like I had an order issue and it's fighting for that issue and it's looking for point optimizations. It's also looking to negotiate office space and things like that for a mini office space, right? So there's a bunch of stuff it can do. You can analyze your Instagram brand to figure out what's good, what's working, what isn't, what's working for other people. Yeah. You can take the formats that are working for other people like the things that you're bookmarking. And obviously you can use it to book travel for like, hey, where are all the places that I've bookmarked and then who do I follow to help me put together an itinerary, right? That can be for fun. So my take on this is Muse is great because it's very user-friendly and obviously they've polished this. And there's just more like— they have more of like a consumer vibe with it. But again, I'm thinking about this stuff from a work angle. And then obviously Dot is brand new, right? But my whole thing is like, I'll get to what I think is tops in a moment. But looking at Muse, looking at Dot, this is how I think about the use cases. And then now last but not least, let's take a look at how to think about GrokBot. Okay, so last but not least, we have GrokBot. And so the beautiful thing about GrokBot is you have a bunch of agents on the left side and you can group them together so they can talk to each other and you have a chief of Staff that oversees everything. I think the UI is pretty friendly. You can have all the routines over here. You can see the library, the computer it's running from, all these things over here. So this is my AEO SEO bot. And the beautiful piece about this is I'm just constantly upgrading it, constantly upgrading it over time. And so the way I look at this is it pulls from my external content, it pulls from internal content, and now we'll look at competitors' content. Yeah. in terms of looking at the gap. It will also look at the GEO/AEO gap, or AEO gap, I should just say, that we have with other people and what else we should be drafting. It'll also look at decaying content too to figure out what should we be updating, what should we be deleting, what should we be consolidating from a content standpoint. And so it knows that yesterday I released a video on Dev Day, talking about OpenAI's Dev Day. It's saying, okay, leave these parts alone, but these are some net new ideas from today. And here's what we should be going for, right? One more thing. If you're enjoying this right now, you gotta check out SingleBrain with a B. So singlebrain.com/gateway. That is where we have this API gateway where you can have all your connectors, your agents can talk to it. It's secure. And not only that, once the gateway understands what your goals are from a marketing angle, from an acquisition angle, we can then float the workflows that are working really well for us that you can basically use, right? So the whole idea is that we will float these workflows over to you. And then if you wanna manage it yourself, fine. If you want us to manage it for you, Totally fine as well. And then the cool thing is it'll gimme a table on what to target. And then we use JEV in here. So layering in JEV will help me evaluate before we do a piece of content and after we do a piece of content, it'll gate it. But to me, when you look at, it's like, oh, there's a gap over here. Single Grain versus Siege Media versus Omniscient. These are people that are all ranking well. And then from a GEO, AEO standpoint. And it'll also show you like, hey, did you actually publish this content already? Is it duplicate or not? Are we inventing stats or not? Is there an AI tell warning here, right? Yeah. And so again, for me, I want to have compounding benefits here. And when you only have one bot using a Dot or a Muse, it's okay. But for me, I need these things to talk to each other. I look at each of these as a team member. That's why we have this talent section over here. My talent bot has been doing a great job of getting the right people in front of us because it uses Jev to look before it looks at people. Do these people have 2 promotions at 2 different companies? Do they have an average tenure of 3 years? And then it'll use expensive tokens. And then afterwards, whoever replies, before we look at it, we'll just send them a list of these 6 pre-screening questions and then it'll evaluate them again. And then it will shortlist people for me, right? And so, think about all you can do from that. You can recruit the right people. You can use it for sales as well. And so, we even had this other bot over here called the M&A bot that will look at people that engage with me on social media. on LinkedIn or X. It'll look for people who are ICP fit, maybe recruit fit, or maybe M&A targets. I don't know if I said that already, but potential partners and things like that, right? And so then it'll use Jeb for that too. But it's pretty easy for me to just say, hey, use Jeb for this, use this for that. And also know that the usage, I'll just say that for me, the usage has been pretty generous. And so Muse is pretty generous with usage. This is as well. I think OpenAI is like they're generous right now. They're not charging you on usage, but I think eventually they will. They're just trying to get people. They're trying to get people hooked on the agents first, right? So they know they have some catching up to do. But for me, like using this for talent, using it for other areas, using it for using it for AEO SEO, using it for sales as well. It is kind of the it's the bot of my choice. Like we have a stand-up bot now that's eliminated our stand-up meetings and where we can focus on doing more things, doing more high leverage things. You know, in terms of compound engineering, which we took from Every dot too, we can figure we can we can make sure that the things that we're shipping don't have issues before we ship them, right? Or we can have like a we have a site redesign bot in here as well. So you can you can really build whatever you want in here. You can design whatever you want. If I had to pick one bot today, it would probably have to be Grokbot. Grokbot to me is most feature complete right now, and their team's pretty cracked. I mean, the fact that they helped me ahead of this webinar, like I had some issues with the Grokbot today, but they they fixed the issue for me. Like I contacted them within like thirty minutes or so. They fixed the issue for me. They've been phenomenal, right? So shout out to Josh Kim from GrokBot. So I would go— if I had to pick one today, it would be GrokBot. But I think the most optimized way of playing the game with these bots from a work standpoint is you use GrokBot to manage— it's basically your team of agents and you can have them talk to each other in a group chat as well. You can actually integrate it into your teams as well. You can have it in Slack. And so I think it's most complete there. If I want to access the Meta world, which is Instagram, WhatsApp, I want to think about Facebook as well. I want to think about all the platforms that they have. Well, then I want to be paying attention to Muse. And I think Muse is pretty great because I think from a consumer standpoint, being able to buy things or looking at your wardrobe on Instagram and telling you what you need to buy or what you need to upgrade, I think that is going to be the future there. So I think they have carved out their own niche. And so there's that. And then I would say with Dot, what's most powerful to me is that it has all my context from how I work with Codex. I do work with Codex quite a bit. And the fact that I can now offload that work inside of Slack and send it over to my team, that's very powerful. And by the way, the cool thing about GrokBot is going back to GrokBot for a second, you can actually share your bots and then you can again have them inside of Slack talking to your team. And I'm sure you're going to be able to do that with Dot as well. I'm sure at some point you'll be able to because Muse just launched a business version. So I think they're all going to converge at some point. But I think as of this recording, there's a use case for each. What I can do with Dot, I can't really quite do with GrokBot yet because I don't have it inside my Slack quite yet, which I will be adding it soon. But the Dot version has all my Codex knowledge. And obviously you can have like a G-Brain or something like that where you can combine the knowledge that you have, but nothing beats being able to have the data from that, whatever harness you're using, pushed directly into how you're interacting with your team. So that's that. I think the best way to do this again is to use all of them, whatever you can afford. If you had to pick one, I'd go with GrokBot. So hope you enjoyed this video and we'll catch you in the next one.