AI Assistant UI Guide
Read this guide to learn how you can use AI Assistant in the Adobe Experience Platform UI.
Access AI Assistant in the Experience Platform UI
To launch AI Assistant, select the AI Assistant icon from the top header of the Experience Platform UI.
The AI Assistant interface appears, immediately providing you with information to get started. You can use the options provided under Ideas to get started to answer questions and commands such as:
- Which of my audiences are activated?
- What is a schema?
- Tell me some common use cases for Real-Time CDP
AI Assistant UI guide
NOTEConsider a use case in which you are creating a Device Trade in Event Schema. During the experience event schema creation process, you come across the eventType field. “At this point, you have the option to either exit your workflow and refer to the basics of a schema composition documentation, or you can use AI Assistant to retrieve answers to your questions and find additional resources through the documentation links recommended by AI Assistant.”
To begin, enter your question in the text box provided. In the example below, AI Assistant is provided the question: “What is the eventType field in an ExperienceEvent schema?”
AI Assistant then queries its knowledge base and computes an answer. After a few moments, AI Assistant returns an answer and related suggestions that you can use as follow up prompts.
After receiving a response from AI Assistant, you can select from a number of options to decide how you want to proceed.
AI Assistant features
This section outlines the different features of AI Assistant that you can use during your workflows on Experience Platform.
View operational data objects
Depending on your query, AI Assistant provides additional information pertaining to the data in your sandbox. To view how the response to your query applies to your particular sandbox, select In your sandbox.
When viewing data pertaining to your sandbox, AI Assistant may provide direct links to specific UI pages that display your queried data.
Select to view example
In this example, AI Assistant returns additional information regarding the existing XDM schemas in your sandbox, including their total count and the five most commonly used fields.
View citations
You can verify responses returned to you by AI Assistant by reviewing citations available with every product knowledge answer.
Select to view an example of how to display sources
To view citations and validate AI Assistant’s response, select Show sources.
AI Assistant updates the interface and provides you with links to documentation that corroborate the initial response. Additionally, when citations are enabled, AI Assistant updates the response to include footnotes to indicate the specific parts of the answer that reference the provided documentation.
Operational insights
You must be in an active sandbox in order for AI Assistant to sufficiently respond to a question about your operational insights.
Select to view an example of an operational insights question
In the example below, AI Assistant is asked the following query: “Show me dataflows that were created using the Amazon S3 source”.
AI Assistant then responds with a table listing your dataflows and their corresponding IDs. Select the download icon (
An expanded view of the table appears, providing you with a more comprehensive list of dataflows based on the parameters of your query.
When prompted with an operational insights question, AI Assistant provides an explanation of how it computed the answer. In the example below, AI Assistant outlines the steps it took in order to identify the dataflows that were created using the Amazon S3 source.
You can also provide filters and modifications to your questions, and you can instruct AI Assistant to render its findings based on the filters that you include. For example, you can ask AI Assistant to show you a trend of the count of segment definitions in the order of their created date, remove segment definitions with zero total profiles, and use month names instead of integers when displaying the data.
Verify operational insights responses
You can verify each response related to operational insights questions using an SQL query that AI Assistant provides.
Select to view example of verifying operational insights responses
After receiving an answer for an operational insights question, select Show sources and then select View source query.
When queried with an operational insights question, AI Assistant provides an SQL query that you can use to verify the process that it took to compute its answer. This source query is for verification purposes only and is not supported on Query Service.
Use entity auto-complete
You can use the autocomplete function to receive a list of data objects that exist in your sandbox. Autocomplete recommendations are available for the following domains: audiences, schemas, datasets, journeys, sources, and destinations.
Select to view an example of auto-complete
You can use autocomplete by including the plus symbol (+) in your query. As an alternative, you can also select the plus sign (+) located at the bottom of the text input box. A window appears with a list of recommended data objects from your sandbox.
Use multi-turn
You can use AI Assistant’s multi-turn capabilities to have a more natural conversation during your experience. AI Assistant is able to answer follow-up questions, given. that context can be inferred from an earlier interaction.
Select to view an example of multi-turn
In the example below, AI Assistant is first asked for the total number of dataflows and then is asked to list the 10 most recent dataflows.
Start a new conversation
You can change topics with AI Assistant by resetting and starting a new conversation.
Select to view an example of resetting your conversation
To reset, select the ellipses (...) on the AI Assistant interface and then select Start new conversation. This informs AI Assistant that you intend on changing topics and can be particularly helpful when troubleshooting queries that are either failing or referencing incorrect information.
Use discoverability
You can use AI Assistant’s discoverability feature to view a list of the general subjects, grouped into entities, that AI Assistant supports.
Select to view example of discoverability
To view discoverability, select the lightbulb icon on the top header of the AI Assistant interface.
Next, select a category and then select a prompt from the list provided. You can use this feature to get a better idea of the types of questions that AI Assistant can answer. You can also update the pre-existing prompts with specific details that pertain to your sandbox using free text or autocomplete.
Use question autocomplete
You can use AI Assistant’s question autocomplete feature to select a question from a list of recommendations from AI Assistant.
Select to view example of question autocomplete
To view the panel of suggested questions, type at least seven (7) characters in the input box. Next, select the question that is relevant to you from the menu that appears.
You may need to update placeholders in some instances where a suggested question involves operational insights. For example, you may need to add the specific name of a dataset or an audience if the suggestion from AI Assistant includes placeholders.
Placeholders are highlighted in blue. Select the placeholder to start updating its value. For best results on numerical placeholders, ensure that you use digits instead of text. You can also use the entity autocomplete feature to update the placeholder values. You cannot a send a question that has unfilled placeholders.
NOTE: Suggestions are enabled by default. Select the Suggest ideas toggle to disable the feature.
