Connect SuperSaaS and GPT-trainer to Build Intelligent Automations
Ready to use SuperSaaS and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New User
Runs when user creates new login
New Appointment
Runs when new appointment is created
Appointment Changes
Runs when appointment is created, changed, or deleted
User Is Created, Updated, or Deleted
Runs when User Is Created, Updated, or Deleted
New Form
Runs when Stand-Alone Form Is Submitted
Credit Purchase
Runs when credit purchase
Do thisActions
Action is the task that follows automatically within your SuperSaaS integrations.
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
Create URL Source
Creates a URL source for a chatbot specified by chatbot uuid.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your SuperSaaS and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in SuperSaaS triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how SuperSaaS 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 SuperSaaS 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 SuperSaaS 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 SuperSaaS
Online appointment scheduling for any type of business. Flexible and affordable booking software that can be integrated into any site.
Learn MoreAbout 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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