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Creating an AI Dashboard

warning

Experimental. This feature may change or be removed.

You create an AI Dashboard from the same create flow as other dashboard types. The AI tab is available only when generation is allowed for the profile.

Create from the dialog

  1. In Admin, open the dashboard list and click + (or the control that opens the create dialog).
  2. Open the AI tab.
  3. Enter a name.
  4. Optionally copy an Example prompt from the list (temperature and humidity, fleet tracking, and similar). Copy only puts the text on the clipboard; it does not run generation at create time.
  5. Save.

Create opens the new AI Dashboard with the prompt bar ready and no layout yet. Paste a copied example or write your own prompt there, then generate. See Generating and Refining.

When the AI tab is gated

The AI tab is hidden when AI is off or unavailable for the profile:

  • TagoAI (or the profile AI provider) is disabled under Profile Settings → Services → AI Provider.
  • The feature is not enabled for the account or region.
  • Monthly AI limits or provider errors block generation.

Fix AI availability first, then create or open the dashboard again. Details: Access and Limits and TagoAI.

Settings after create

AI Dashboards support the usual resource metadata in settings:

SettingNotes
NameDisplay name in the sidebar and lists.
Tags{ key, value } labels for grouping and Access Management.
VisibilitySame profile visibility rules as other dashboards.
IconDashboard icons work the same way.

What is not available on AI Dashboards

FeatureStatus on AI Dashboard
Period presets / global time filter UINot supported.
Share publicNot supported.
Distribute (template export)Not supported.
Widget grid edit modeNot applicable; there is no widget grid.
TagoRUNNot supported; RUN users do not get a working AI Dashboard experience.

For share and distribute on other types, see Sharing Dashboards and Distributing Dashboards.

After creation

  1. Generate or refine the layout with the prompt bar.
  2. Confirm data loads and refresh look right.
  3. Keep access, AI gating, and experimental limits in mind before relying on it in production.