Dreamer
product on 3 shows · 14 statements across 1 episodes · said 80 times in 3 episodes since 2026
Latent Space 75 
the Y Combinator Startup Podcast 4 
Cheeky Pint 1
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Latent Space 75the Y Combinator Startup Podcast 4Cheeky Pint 1
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14 statements about Dreamer, every show
Dreamer targets non-technical consumers for building and using AI agents
“Dreamer is a new product which everyone can come and play with today. It's a place where everyone, literally everyone, can discover, build, and enjoy and use AI agents and agentic apps. And we really did design it for consumers, for folks who are not necessari…”
Singleton: AI agents work best when integrated into users' existing apps
“We've actually find that making things show up in the other apps that you already use in your life is incredibly powerful.”
Dreamer pays AI tool builders proportionally based on agent usage
“And we're actually sharing something for the first time on this podcast, which 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.”
Singleton built an AI Engineer Conference schedule app in 25 minutes
“And I was able to build this yesterday morning. I did it between some meetings. I think I spent a total of 25 minutes of wall clock time on it. I did it over the course of a couple of hours.”
Dreamer uses autonomous AI agents to research and screen waitlist signups
“So at this point, we pretty much run the company on Dreamer agents for all kinds of important things. Maybe a good example of that is our wait list. People are signing up. Every time someone signs up for our waitlist, a Dreamer agent will actually research tha…”
Dreamer isolates application sub-agents within dedicated virtual machines
“Any application on Dreamer can kick off a sub-agent to do a particular task. So this actually is a powerful agentic harness that runs inside of its own VM.”
Singleton predicts one or two dominant agentic commerce protocols will emerge
“You know, on Dreamer, we hope that folks will build tools that can make use of all of these things, but I'm sure that at a certain .1 or two will emerge as the winners, and then we'll be able to build, like, really deep support in it.”
Dreamer uses continuous evaluations to dynamically route tasks across AI models
“Dreamer actually uses all of the state-of-the-art models. As a user, you don't have to think about, should I be using, you know, Opus four six, or should I be using the five four model from OpenAI? We are continually doing evals and so forth to make sure that …”
Singleton: Dreamer keeps tool interfaces stable while updating underlying models
“So the point behind these, though, is that we'll keep the interfaces stable, so they'll always work. But, you know, the best translation model, and, you know, there are people using this translation tool to translate Chinese podcasts into English. It's pretty …”
Dreamer architectures AI agents as modular, composable tools
“To some extent, Dreamer does make its own tools in that agents appear to the system as tools, so they can be used to accomplish things. So you can build an agent that is essentially a tool”
Singleton: TypeScript is the optimal language for AI-driven development
“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 th…”
Singleton: Dreamer replaced Vector DB RAG for agent memory due to complexity
“Very early on, we were putting lots of facts into a vector database and doing embeddings and pulling them back out using, you know, reverse look of embeddings. Rag that actually worked, but turned out to be much more complexity than was actually required. So, …”
Dreamer built its initial AI platform with a core team of six
“The core team that built everything I just showed you was honestly about six people. We're larger now. We're about 17 people at the company now”