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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New contact Arrives
runs when new contact arrives
Do thisActions
Action is the task that follows automatically within your Tiledesk integrations.
Create a Contact
Add a new Contact to Tiledesk.
Send Message to Conversation
Send a message into a support ticket or conversation
Invite a team member
Invite a new team member by email and set their role
Create saved reply
Add a reusable message (title and text) to use in chats.
Create tag
Create a tag to organize conversations
Create support request
Create a new support request with an initial message.
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Frequently Asked Questions
To start, connect both your Tiledesk and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Tiledesk triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Tiledesk data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between Tiledesk and GPT-trainer 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 Tiledesk and GPT-trainer. 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 Tiledesk
Tiledesk is a comprehensive platform for customer support and communication, offering tools for live chat, chatbots, and multi-channel messaging to enhance customer engagement and streamline support processes.
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About GPT-trainer
GPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
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