Connect EasyPractice 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
Ready to use EasyPractice and AI/ML API automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Client
Triggers when a new client is created.
Do thisActions
Action is the task that follows automatically within your EasyPractice integrations.
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 EasyPractice and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in EasyPractice triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how EasyPractice 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 EasyPractice 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 EasyPractice 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 EasyPractice
EasyPractice is a tool that helps health and wellness professionals, like therapists or trainers, manage their work. It lets them schedule appointments, keep track of clients, send invoices, and handle payments, all in one place. It’s easy to use and helps small businesses stay organized.
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.
Learn More
