Eric Siu explains how teams can use AI agents like TARS in Slack to collaborate with humans and each other. He highlights open-source tools like Buzz, created by a Twitter co-founder, for assigning roles and accelerating idea exchange across multiplayer AI systems.
If you're using AI just by yourself, you're using it in an outdated way. I'm gonna show you the new way to use it in a multiplayer way so you can get way more leverage with the work that you're doing and you'll make way more money doing it. So the way we work inside of our Slack is having AI in there. And so we have our agent called TARS. So TARS, like from Interstellar, and you can see we have different people on our team asking different questions, right? So these are all work questions. So the implications here is that If other humans see you, they see AI collaborating with other humans and they see different data that might be helpful to them, or they might think of questions that they want to ask themselves. What ends up happening is the world ends up moving a lot faster, right? Because everything's about how quickly you go about trading ideas and the faster you can trade ideas, the faster you're going to move. Now I'm going to add one more thing that you can be using because it's open source. And that one thing is Buzz. So Buzz was recently released by the, one of the co-founders of Twitter, now called X. And you can see that these agents are talking to each other. So not only can you have the humans in here, you can have multiple agents talking to each other, and you can, you can basically ascribe tasks or different roles to these different agents so they can do things. And ultimately what happens is now you don't have just one agent working with the humans, you have multiple agents. And I believe that this is the future of work. So if you want more like this on AI business and marketing and how we're going about using all this stuff, just comment newsletter and we'll send it over to you.
