CanvasGPT vs Claude
Claude has a large context window, but managing multiple artifacts and chats becomes messy. CanvasGPT organizes everything in one infinite canvas.
Claude
For a single tool that only does part of the job.
- Loses context constantly
- Disconnected chats everywhere
- Breaks on big projects
- Locked to one AI model
CanvasGPT
For your entire workspace, replacing multiple tools.
- Persistent workspace
- One organized canvas
- Built for scale
- All frontier models
CanvasGPT vs. Claude: Organizing the Chaos
Claude's 'Artifacts' feature was a step in the right direction, acknowledging that code and documents need their own space. But a sidebar isn't enough. CanvasGPT takes this concept to its logical conclusion: a fully spatial workspace.
Spatial vs. Linear
Claude is still fundamentally a linear chat. You scroll up and down to find information. CanvasGPT is spatial. You pan and zoom. You can group related tasks, draw connections between data sources, and visually map out your entire project. It's how your brain actually works.
Persistent Memory
In Claude, once a chat gets too long, you have to start a new one and lose your history. In CanvasGPT, your canvas is persistent. You can come back to a project weeks later, and everything is exactly where you left it, with the AI ready to pick up right where you left off.
True Integration
Claude can write code, but it can't run a database or host a backend for you. CanvasGPT provides the infrastructure. Your SQL queries run against real data. Your API endpoints are live. It's a complete development environment, not just a text generator.