I Built a Visual Canvas That Lets You Branch AI Conversations Without Losing Context

Visual conversations on a canvas let you branch ideas without losing context.

A typical chat interface restricts you to one linear thread, making follow-ups and comparisons difficult. This tool transforms each conversation into a node on an infinite canvas, allowing you to start with a question and create branches for clarification or deeper exploration. Every node maintains the full conversation history up to its parent, so you never have to repeat the background. The implementation uses React Flow for the canvas, custom React components for interactive diagrams, GPT Image 2 for visuals, and Gemini 3.5 Flash Lite for speed. Ask for a transformer architecture and receive an interactive SVG you can zoom into and click through. Highlight and annotate responses directly on the canvas, which is useful for comparing explanations. Keyboard-first navigation includes Cmd+Click to branch, Space+drag to pan, and Enter to send from any node. The workflow mimics how you think: start broadly, explore each idea independently, then see the full map. Traditional chat feels like reading through a straw. The tool is still developing, with occasional layout thrash and image generation issues. However, the spatial conversation and generated visuals paradigm offer a significant improvement over linear chat for complex technical learning. If you’ve ever struggled with multiple tabs while understanding a paper’s methodology, this tool may help.

Try it free and turn your ideas into live apps and websites with AI. Create community projects, build beautiful web apps in seconds using natural language, and use Canvas in the cloud or run Medley locally. Canvas assembles specialized agents across 300+ models to research, analyze, and produce deliverables, websites, and apps. It is SOC 2 Type I compliant and uses a local daemon and plugins to coordinate models. Adaptive graphs, review, and repair both products as they grow the work graph.