The User Intent is where the developer should define which examples of user intent should be covered by the scope of the trigger or transition; the examples of User Intent should include different sentences or requests which end-users would typically use in order to obtain the information related to the scope.
In the below sections, please find step-by-step guides on how to work with and define properties of User Intent.
Add new User Intent
Below please find step-by-step guides on how to add User Intent to a Flow.
Edit User Intent trigger
Delete User Intent trigger
User Intent Examples
Positive examples of User Intent are meant to cover possible inputs which end-users could say to the conversational AI application in order to obtain information related to the scope of the current Flow, i.e., the positive examples should trigger the flow trigger or transition they belong to.
Negative examples of User intent - currently only available in Teneo Studio Desktop -, on the other hand, allows to add examples of inputs which should not be covered by the current User Intent trigger or transition.
Both the positive and negative examples of User Intent are used in other Studio features, such as the draft TLML Syntax (in TLML Syntax Matches), Suggest Ordering and Auto-test, while others, such as Class Performance, make use only of the positive User Intent examples.
If LLM Settings are defined for the Studio Account, examples of User Intent can be generated automatically by use of generative AI allowing to easily add new examples based on either previously added User Intent examples or a description.