Dreamer: the Personal Agent OS — David Singleton

“And we are actually sharing something for the first time on this podcast, which here is, tool builders on Dreamer get paid. So if you publish a tool to the platform and a lot of agents use it, you'll actually get paid, in proportion to their usage. And we'd love for folks to come and give us a try.”

“If you think about it, there are all these things in your life where have you ever gone to a conference? I know you have. Right? And, big conferences have apps. And these apps are usually built by agencies, and they're they're usually actually quite expensive to build. I've been involved in running some of these myself. And how many conferences have you been to where the app was good? Honestly.”

“So the model that we have, which is working very well, is that the sidekick is at the core of everything here. So it is both your companion, your helper, but it's also the traffic cop in the system. So when when one agent wants to work with another agent in Dreamer, it doesn't do it directly. It does it via the sidekick. We realized that we actually had to build something that's a bit like an operating system. You know, the sidekick's like the kernel. The agents and apps are like users here.”

“And, also, we have some tool partners where the tools themselves are pay per use. So for instance, Parallel Web Systems is a premium tool. You can do really cool stuff with it. It's a a an agentic web research tool. And that one, because it's expensive to operate, is paid on a on a per usage basis. But if you're coming in to build agents on the platform, even the premium tools, you get a free trial.”

“TypeScript is an amazing language for AI because there's tons of training data in the models, and it's strongly typed. And, actually, at the company, we built most of the stack in TypeScript. And we have this amazing property, which is we have type safety all the way from the database to the front end. And there's nothing better for working with coding agents than being able to have them check their correctness at compile time.”

“So at Dreamer, the the core team that built everything I just showed you was was honestly about six people. We're larger now. We're about 17 people at the company now. Very, very high talent density team. We've been very, very careful and kind of obsessed as we grew to make sure that everyone that's joining the company is joining a team that they're gonna get a lot of, learning out of, but also they're actually going to kind of help everyone else a lot as well.”

“So one of the main things that I look for now when hiring engineers is how well do you work with coding agents? Our team actually is quite experienced. It turns out being an engineering manager, as long as you stay very close to the code and are able to continue to craft it yourself, is actually a great skill profile for being able to make agents work for you and for your team in this, in in this age.”

“So I think that when you think about building software, the thing that's really important and that we all need to bring is taste. Right? You have to, like, actually truly understand people, their motivations. How do I build something that's really delightful? So, you know, we had to do a lot of work on Dreamer to make it possible for the experiences that we build to not look like AI generic slop.”

“They built this really amazing experience that actually helps you, like, save a lot of money because it will kinda help you analyze your purchases. It's almost like a kind of a financial fitness coach. He's called Andrew, who who built it. He came and showed it to us, and the first thing it did was it recommended that he should buy fewer burritos. And, he was like, it's true. Like, that is actually how I could save the most money.”