--- description: >- Build and manage your AI Analyst's library of reusable, org-wide prompt templates. --- # Saved Prompts 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](../../settings/members.md) can create, edit, or delete saved prompts. !!! info Looking for how to _use_ saved prompts as a [User](../../settings/members.md)? See [Saved Prompts in Explorer](../../agent/working-with-agents/saved-prompts.md).
## Saving a prompt from a completed conversation The quickest way to add a saved prompt is directly from a result you know works: 1. Open the completed conversation in Explorer or Studio 2. Click the **command icon** on the task 3. The prompt is immediately saved to the org library for that AI Analyst 4. 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). !!! info 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: 1. Navigate to the AI Analyst in Studio 2. 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.