Overview

By using the @ symbol, you can mention existing Collections or Files directly within your prompts. This allows you to pinpoint the scope of your query and receive more relevant results.

Mentioning Collections in Your Prompts

To specify the scope of your query, simply type @ followed by the name of an existing Collection in your prompt. This will allow you to focus your analysis on specific data sets that you’ve created or that have been shared with you.

For example, let’s say you want to compare customer data with competitor insights. You can type the following in your prompt:

Compare @Customer Data with @Competitor Target Market and see if there are any overlaps.

In this example:

  • @Customer Data and @Competitor Target Market are Collections that either you’ve created or have been shared with you.
  • Typing @ into the prompt input field will bring up a list of your Personal Collections and Shared Collections.
  • You can either select an existing Collection from the list or continue typing to narrow it down.
Using @ enhances your ability to target specific data sets and generate more accurate results.

Example Use Cases


Mentioning Files in Your Prompts

To mention a file, simply type the @ symbol followed by the file name, similar to how you mention Collections. The more precise the file name you provide, the easier it will be for Storytell to locate the files you want to mention.

You can mention multiple files in your prompts, enabling you to specify which assets you want Storytell to draw insights from.

As you continue using Collections and Files, it’s helpful to keep your naming conventions clear and consistent, making it easier to search for relevant data in future queries.

Searching for your Collections and files

When you type @, a search box will appear showing your existing Collections and assets. If you’re not sure of the exact name, you can start typing and the list will filter in real-time based on your input.

  • Personal Collections: These are Collections you’ve created.
  • Shared Collections: These are Collections that have been shared with you by other users.

This feature allows you to quickly find the right data for your queries without needing to manually navigate through your Collections.