We’re rolling out a new Canvas experience in Babbily, giving you a dedicated workspace to create, edit, and refine AI-generated work without leaving the chat.

Instead of copying content into another doc, spreadsheet, or editor, you can now work directly inside Babbily’s Canvas. Create drafts, edit text, adjust tables, work with structured outputs, and continue prompting the model with your latest edits already included as context.

What’s new

Edit directly in Canvas
AI-generated work can now open in a durable side panel where you can make changes directly. Whether you’re working on a document, table, code artifact, or structured output, the Canvas becomes the live workspace for that response.

Your edits stay in context
When you edit something in the Canvas and continue prompting, Babbily shares the current Canvas state with the model. That means follow-up prompts like “make this shorter,” “turn this into a table,” or “update the second section” are based on the latest version you edited, not just the original chat message.

JSON Rendering
Babbily can now render structured JSON outputs into cleaner, more usable visual components. This makes generated dashboards, tables, callouts, metrics, and other structured outputs easier to view and work with.

Download your work
Canvas artifacts can be exported in useful formats depending on the artifact type, including Word, PDF, CSV, Excel-ready spreadsheet files, and JSON.

Push directly to connectors
You can send Canvas work directly into connected tools through Babbily connectors. This makes it easier to move from AI-generated output to the places where your team actually works, without extra copy/paste steps.

Canvas mode is a big step toward making Babbily feel less like a chat box and more like a real AI workspace.