Multiple AI Models In One setup becomes powerful when your agent OS stops acting like a single tool and starts acting like a control room. The real advantage is that Hermes, Claude, Fable 5, Higgsfield, DeepSea Coder, Tailscale, Open SEO, DataForSEO, GPT 5.6 Sol, and new model workflows can all sit inside one practical system. The [AI Profit Boardroom](skool.com/.../about) helps you build that kind of agent OS with templates, workflows, tutorials, support, and a practical setup for creators, founders, and AI builders. Watch the video below: [youtube.com/.../watch](youtube.com/.../watch) Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 [skool.com/.../about](skool.com/.../about) # Multiple AI Models In One Agent OS Solves Tool Chaos Multiple AI Models In One agent OS matters because most people are drowning in separate AI tools. One model handles writing. Another model handles coding. Another model handles video. Another model handles research. Another model handles automation. The problem is not that the tools are bad. The problem is that they are scattered. An agent OS fixes that by turning everything into one control layer. Hermes can manage agents and workflows. Claude can help plan and build custom systems. Fable 5 can help with deeper build work and custom interfaces. Multiple AI Models In One system becomes useful when every tool has a place instead of becoming another tab you forget. # Multiple AI Models In One Dashboard Makes Agents Easier Multiple AI Models In One dashboard gives your AI work a clearer home. A dashboard matters because agents need visibility. You need to see missions. You need to see work. You need to see agent activity. You need to see systems and settings. You need to understand what is running and what n...

So if you're wondering how to use this, well, basically, you can go inside your terminal and you can run the mixture of agents terminal commands like so. This is kind of technical, and that's why I actually put together instead something that I call the Hermes Agent OS, which you can see here. It's way simpler and easier to use, right? Because you can basically just go inside here, you can go to the Mixture tab, and then you can type in your prompt here, run the panel. And also, the cool thing is, you don't need any terminal commands. You can just run this whenever you want. And additionally, when you're using this as well, the cool thing is that all of your stuff just gets saved inside this workspace. So it's easy to preview. It's easy to come back to. And also, you can combine that with the chat with Hermes Agents. So what we actually have inside the chat is a mixture of agents that we can chat to as well at any point. We have the talk mode where we can talk to our agents. We have Hermes Jarvis, which we can voice control, and it can use computer use, browser control, and we can preview anything that we've built with it. And then we have, of course, the Hermes Oracle, which you can pull in the latest news, and then we can draft content using it. We have the studio, but a mixture of agents over here. The other cool thing that I like about having a system like this is, like, when you're doing outreach, for example, I can just build my own SaaS tool for getting leads and building email campaigns and finding the leads in, like, one single click using this system. And then we can then reach our campaigns, send out the emails, boom, shakalaka. It's all inside one place, right? Way smoother and easier to use than if you were just inside the terminal or Hermes desktop. So this is what we're finding so far. So a panel of experts beats one genius. If you've got one genius competing against five geniuses, typically you're going to get a better answer from a team of geniuses versus one person. And the other cool thing about this is, you know, whether you're using Fable 5 or GPT-516, which might come out soon, but might not. Whether you're using, for example, Hermes mixture of agents, whether you're using Fusion or, for example, Fugu with Sukana Ultra. These are all similar models that work in the same way, which is panels of agents.

by combining them so this is how you can get them working inside your system I mean for example if you look at our setup here we have Hermes agent and we can use mixture of agents inside this section but then we could also switch over to Sakana Fugu and start chatting over here with it using the API and we can see everything that we're built with it directly here as well and it's the same for example with Fusion we can chat with it anytime we want it's just one click away rather than a separate tab and we've got a system where everything that we're built with this is all ready to go and preview inside one easy system and that's really the method now you don't want to focus on the model focus on the system instead it's really a pattern I've been running this for weeks now so you know mixture of agents isn't like a one-off trick it's a pattern that I'm seeing recently I've already built two systems working on the exact same idea which is a panel of models fused into one answer so we've got Fusion inside the agent OS as well we've got Sakana Fugu and now we can use a mixture of agents as well three different systems that were built into the agent OS to get the most out of this stuff and you can see how they the best possible outputs that you can from your system and this really changes everything if you look at the old way it's like pick one model and hope it's the best hit that model ceiling and stop there wait for the next release to save you beg for access to the gated frontier models and when they do come out it can be quite expensive using the APIs on those whereas if you look at more from what's already available to you you go beyond the public frontier with no extra access needed and you hit frontier quality for a fraction of the cost because you've got these agents working together bear in mind like you could have cheaper models working together and still get better outputs than if one of those models was working alone and it's just one command it's forward slash MOA and then you can switch idea we have all of this inside the agent operating system which is a dashboard that I run pretty much my whole systems on right so the full agent OS SIP Hermes MOA yeah a fusion Sakana all wired in coaching calls or build model panels with you live daily tutorials so you're stacking models not just reading about them and a room of 3800 operators running this exact