Connect Ringg AI and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
Conversation Ends
Choose an Action
Automatically do this!
Create Chat Completion
Ready to use Ringg AI and AI/ML API automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Conversation Ends
Runs when conversation ends
Do thisActions
Action is the task that follows automatically within your Ringg AI integrations.
List All Assistants
Show all assistants in account
Place an outbound call
Place an outbound call to a contact or phone number
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Ringg AI and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Ringg AI triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Ringg AI data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Ringg AI and AI/ML API 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 Ringg AI and AI/ML API. 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.
About Ringg AI
Ringg AI offers advanced AI-driven solutions to enhance communication and customer interaction. With cutting-edge technology, it streamlines processes and improves efficiency for businesses.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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