Causal - AI Powered Canvas for planning visual projects

Enabling designers, creators, and founders to plan visual projects on an AI canvas. Key features: - Ask the AI to organise your ideas, brainstorm new directions, or create a roadmap from scratch - MCP connections so you can handoff your project to an external agent to turn into something real - Your images, inspiration, and notes all on a canvas with a native agent. - Create custom widgets - ask your agent to create a habit tracker on the canvas

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I’ve always used Notion to organize my ideas, but as a creative who thinks spatially, forcing everything into page felt fundamentally restrictive. Text-first documents couldn't capture visual inspiration, dynamic relationships, or the true scale of early-stage thinking. I needed a workspace that allowed ideas to breathe, so I set out to build an infinite canvas engineered specifically for creatives who need more space to store, connect, and plan their vision. What makes Causal different from other canvas apps: - Multimodal Spatial Context: The integrated AI understands your entire workspace: comprehending how visual assets, files, and notes. It understands how each element is placed relative to others. - Generative Canvas: The AI actively creates and arrange files, notes, and images directly onto the board which ensure it works alongside as you as a true creative partner. - MCP Connection: Once you have completed mapping out your project, hand it off to an external agent to turn into something real. Your content and their relative positioning is sent of as context so it remains easy to read - Create custom widget: need a habit tracker? a bar chart or an interactive game? Create it all on your canvas! - Distraction-Free Experience: A clean, minimal UI stripped of enterprise clutter, focusing entirely on the essential tools creatives need to do what they do best - create. Teaching an AI to act as a spatial partner has been our most complex engineering hurdle. Standard language models do not natively understand layout through spatial coordinates. To solve this, we’ve been training our agentic assistant on relative positioning which enables it understand relations just as the human brain does.