The VRYO Workspace is a no-code environment where you build dashboards through conversation. Upload your data, describe what you need, and the AI agent creates widgets on a live canvas. When you're happy, export the result as a React component or JSON snapshot.
The left sidebar has four tabs. Each tab serves a different part of the workflow.
Converse with the VRYO Copilot. Describe what you need and the AI builds it on the canvas. Upload files directly by dragging them into the chat.
Browse 5 pre-built dashboard templates (Sales, Marketing, Product, Finance, HR). One click loads the full dashboard β then customize with your data.
Bring your data in. Upload CSV/JSON files, fetch from a URL endpoint, or paste raw data. The workspace auto-detects column types and row counts.
Export your dashboard as a React component (copy-paste into your project), download the full canvas state as JSON, or share a link (coming soon).
The sidebar rail includes quick-add buttons for every widget type. Click any icon to add a blank widget to the canvas, then configure it through the Copilot or directly on the canvas.
When you upload data, the Copilot analyses column types and automatically suggests relevant visualisations. Numeric columns become chart series, date columns become time axes, and categorical columns become group-by dimensions. You can accept a suggestion or type your own request.
1. Upload β CSV/JSON files are parsed client-side (nothing leaves your browser). Column types (string, number, date) are auto-detected.
2. Prompt enrichment β When you chat, the data schema is appended to your message so the AI knows what columns exist.
3. Agent patch β The agent returns an AgentPatch with widget configurations. The workspace injects your data records into matching widgets.
4. Live canvas β Widgets render on the tldraw canvas with full interactivity, zooming, panning, and cross-filtering.
The Export tab generates a self-contained React component. Copy the code into your project and install @vryo/client: