Saved Prompts
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 users with the Studio role can create, edit, or delete saved prompts.
Looking for how to use saved prompts as an Explorer user? See Saved Prompts in Explorer.
Saving a prompt from a completed conversation
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 — 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 — not the answer. Answers go stale as your data changes. The value is the proven question that reliably produces a good result.
Managing saved prompts in Studio
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 — 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
Variable placeholders
Prompts can include placeholders like [region] or [timeframe]. When a user selects a prompt with placeholders — either from the homepage or via the / trigger — the placeholder text is highlighted for quick fill-in, with Tab to jump between them.
Example: Show me revenue by [region] for [timeframe]
Using saved prompts for regression testing
When you iterate on the semantic layer or agent instructions, your saved prompts become a set of "golden queries" — 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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