Connect Copilot and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
New Client
Choose an Action
Automatically do this!
Create Chat Completion
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Client
Trigger whenever any new client is created.
Do thisActions
Action is the task that follows automatically within your Copilot integrations.
Create Client
Creates a new client.
Create Company
Create a new company.
Create Message Channel
Create a new message channel.
Create Link
Creates a link in a specified files channel.
Create Folder
Creates a new folder.
Create File
Creates a file in a specified files channel.
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Frequently Asked Questions
To start, connect both your Copilot and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Copilot triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Copilot 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 Copilot 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 Copilot 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 Copilot
Create a client portal to combine messaging, payments, and other modules to offer clients a branded, streamlined experience.
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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