
ChatGPT is great for quick questions, but it struggles with complex, multi-step projects. CanvasGPT gives you a persistent workspace where context is preserved.
For a single tool that only does part of the job.
For your entire workspace, replacing multiple tools.
ChatGPT revolutionized how we interact with AI, but for serious builders and creators, the chat interface has become a bottleneck. Here's why moving to a canvas-based workspace changes everything.
We've all been there: you're deep into a coding session or a writing project with ChatGPT, and suddenly it forgets what you talked about ten messages ago. The linear chat format forces you to constantly remind the AI of the context. CanvasGPT's spatial canvas keeps all your relevant tiles—code, notes, data—visible and connected, so the AI always sees the big picture.
ChatGPT generates text. CanvasGPT generates *applications*. When you ask for a landing page in CanvasGPT, you don't just get a code block to copy-paste; you get a live, rendered web page that you can edit visually. When you need a database, it creates a real database you can query. It's the difference between talking about work and actually doing it.
With ChatGPT, you're locked into OpenAI's ecosystem. CanvasGPT is model-agnostic. Use Claude 3.5 Sonnet for coding, Gemini 1.5 Pro for large context analysis, and GPT-4o for reasoning—all in the same workflow. You pick the best brain for the job.