Saved Prompts
Build and manage your AI Analyst's library of reusable, org-wide prompt templates.
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Build and manage your AI Analyst's library of reusable, org-wide prompt templates.
Saved Prompts are human-curated, org-wide prompt templates scoped to a specific AI Analyst. Once saved, any user in your workspace can run them from the Explorer homepage or by typing / in the chat input.
Only Admins can create, edit, or delete saved prompts.
Looking for how to use saved prompts as a User? See Saved Prompts in Explorer.

The quickest way to add a saved prompt is directly from a result you know works:
Open the completed conversation in Explorer or Studio
Click the command icon on the task
The prompt is immediately saved to the org library for that AI Analyst
A toast notification confirms the save β you can edit the title inline at this point
The title is auto-derived from the prompt text, but rename it to something descriptive (e.g. "Weekly Revenue by Region" rather than the raw question).
Only the prompt is saved β not the answer. Answers go stale as your data changes. The value is the proven question that reliably produces a good result.
To view and manage all saved prompts for an AI Analyst:
Navigate to the AI Analyst in Studio
Open the Saved Prompts tab (alongside Instructions, Suggestions, etc.)
From here you can:
View all saved prompts, with the prompt text and a link to the original task (if applicable)
Add a new prompt manually β without needing to save it from a conversation first
Edit the title or prompt text of any saved prompt
Delete prompts that are no longer relevant
Run a prompt directly from the tab to open a pre-filled conversation
Prompts can include placeholders like [region] or [timeframe]. When a user selects a prompt with placeholders β either from the homepage or via the / trigger β the placeholder text is highlighted for quick fill-in, with Tab to jump between them.
Example: Show me revenue by [region] for [timeframe]
When you iterate on the semantic layer or agent instructions, your saved prompts become a set of "golden queries" β the canonical questions this AI Analyst must answer correctly.
After making changes to a model, metric, or guideline, run through your saved prompts from the Saved Prompts tab to verify the AI Analyst still produces the right results. You can also use the / trigger in a Studio chat session to quickly pull up any saved prompt mid-conversation.
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