
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Contextual AI and Tribal Habits
Create a new Datastore.
Retrieve a list of Datastores.
Get the details of a given Datastore, including its name, create time, and the list of Agents which are currently configured to use the Datastore.
Reset the give Datastore. This operation is irreversible and it deletes all the documents associated with the datastore.
Delete a given Datastore, including all the documents ingested into it. This operation is irreversible.
Get list of documents in a given Datastore, including document id, name, and ingestion job status.
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To start, connect both your Contextual AI and Tribal Habits accounts to viaSocket. Once connected, you can set up a workflow where an event in Contextual AI triggers actions in Tribal Habits (or vice versa).
Absolutely. You can customize how Contextual AI data is recorded in Tribal Habits. This includes choosing which data fields go into which fields of Tribal Habits, setting up custom formats, and filtering out unwanted information.
The data sync between Contextual AI and Tribal Habits typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Contextual AI and Tribal Habits. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Contextual AI is a cutting-edge platform that leverages artificial intelligence to provide context-aware solutions. It helps businesses and developers create applications that understand and respond to the context of user interactions, enhancing user experience and engagement.
Learn MoreTribal Habits is an all-in-one learning management system (LMS) - create interactive learning, manage online and blended training, dive into ready-made modules and report on all learning contributions
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