The Problem with
Linear Chat.

We're using the most powerful reasoning systems ever created through an interface designed for IRC in 1988.

LLMs are incredibly capable, but the chat interface limits what you can do with them. Complex work needs context, relationships, and the ability to see multiple things at once. Chat gives you none of that.

Whether you call it a "Chatbot" or a "Prompt," the mechanism is the same: A single, linear stream of text. One input. One output.

This is the "Keyhole Problem." You can ask a chatbot a question, but you cannot show it a system. You can paste a file, but you cannot show it how that file relates to ten others. The moment your problem becomes complex—architecture, strategy, systems design—the chat interface collapses under its own weight.

You spend more time managing context than actually building.

Thought is Spatial. Text is not.

Look at how you solve hard problems in the real world. You don't type a linear essay. You go to a whiteboard. You draw circles. You draw lines. You cluster sticky notes. You print out PDFs and spread them on the floor.

Human cognition is spatial. We understand the world by mapping relationships between objects.

Chat forces you to think in a straight line.

Canvas allows you to think in a network.

If we want to unlock the true potential of AI, we have to stop treating it like a pen pal and start treating it like a co-architect.

Moving beyond the message bubble.

Chat is great for quick questions and simple tasks. But when you're building something real, you need more than a scrolling history of messages. You need a workspace.

We believe the next leap in productivity won't come from a bigger model, but from a better way to work with the models we already have.

By moving from a linear chat to a spatial canvas, we're giving you the room to think, arrange, and build in three dimensions.

Chat is a conversation. It's fleeting and constrained.

Canvas is a workshop. It's persistent and expansive.