Canvases are custom analytics dashboards built from one or more Kernels. A Canvas lets you compose exactly the view you need — whether that’s an executive summary of AI spend, a security incident dashboard, or a per-team adoption report — and save it for reuse or sharing.
What a Canvas contains
Each Canvas is a collection of Kernels arranged in a grid layout. Each Kernel is a self-contained data visualization — a bar chart, a table, a time series — that runs a specific analytic query against your Origin data.
Canvases are:
- Scoped — they inherit whatever scope (agent, endpoint group, date range) is selected in the left panel
- Live — every time you open a Canvas it reruns all its Kernels against fresh data
- Shareable — you can share a Canvas URL with anyone who has access to your Origin tenant
Step 1: Navigate to Canvases
Click CANVASES in the Views section of the left panel. The center panel switches to the Canvases view.
Step 2: Review headline metrics
The AI Usage Overview canvas is the built-in default canvas. It shows headline counts at the top for the current 30-day window:
- Prompts — total prompt count
- Endpoints — unique endpoints with activity
- Sessions — distinct session count
- Models — distinct model identifiers seen
Each metric is sourced from the /activity-summary kernel and refreshes on demand.
Step 3: Explore activity trends
Below the headline metrics, the Activity trend — prompts per day section shows a bar chart of daily prompt volume. Hover over any bar to see the exact date and count. Use this to identify:
- Unusual spikes in AI usage
- Weekly patterns (e.g., lower usage on weekends)
- Ramp-up curves after a new tool deployment
Step 4: Switch between canvas tabs
Use the tab bar at the top of the canvas to switch between views:
- AI usage overview — headline counts and trend charts
- Adoption & concentration — per-team or per-agent adoption rates and usage concentration metrics
Step 5: Build a custom canvas
Click the + button in the canvas tab bar to create a new Canvas. Give it a name, then use the Kernel browser to add visualizations. You can:
- Add built-in kernels from the Library
- Fork an existing kernel to customize its query
- Arrange kernels by drag-and-drop
See the Library walkthrough for more on how Kernels work.
The REFRESH button next to each kernel’s data source indicator reruns that kernel immediately. This is useful when you’ve just made a configuration change and want to see the updated data without waiting for the next scheduled refresh.
