Connect TimeRex and GPT-trainer to Build Intelligent Automations
Ready to use TimeRex and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Event
Triggers when new event is created.
Event Cancelled
Triggers when a TimeRex event is cancelled.
Event Rescheduled
Triggers when an event is resheduled using a TimeRex Calendar.
Do thisActions
Action is the task that follows automatically within your TimeRex integrations.
Get User
Get user information.
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 TimeRex and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in TimeRex triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how TimeRex 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 TimeRex 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 TimeRex 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 TimeRex
Timerex is a powerful time management and scheduling tool designed to help individuals and teams optimize their productivity. With features like task tracking, calendar integration, and automated reminders, Timerex ensures you stay on top of your commitments and deadlines.
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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