When this happens...
Booking Cancelled
New Booking
Meeting Rescheduled

Automatically do this!
Send Message
Create New Session
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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a booking is cancelled.
Triggers when a new booking is created.
Triggers when meeting is rescheduled.
Triggers when a new message is received in your YourGPT chatbot session.
Triggers when a user sends a message to the YourGPT chatbot in an active session.
Action is the task that follows automatically within your DitCal integrations.
To send a new message.
To create a new Session

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your DitCal and YourGPT accounts to viaSocket. Once connected, you can set up a workflow where an event in DitCal triggers actions in YourGPT (or vice versa).
Absolutely. You can customize how DitCal data is recorded in YourGPT. This includes choosing which data fields go into which fields of YourGPT, setting up custom formats, and filtering out unwanted information.
The data sync between DitCal and YourGPT 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 DitCal and YourGPT. 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.
DitCal is a comprehensive calendar and scheduling tool designed to streamline your personal and professional life. It offers features such as event scheduling, reminders, and integration with other productivity tools to ensure you never miss an important meeting or deadline.
Learn MoreYourGPT is an advanced AI tool designed to assist users in generating human-like text based on the input provided. It leverages state-of-the-art machine learning models to understand and produce text that is coherent and contextually relevant, making it ideal for content creation, customer support, and more.
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