Connect Habitify and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
New Habit
New Areas
New Logs
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Habit
Triggers when new habit is created.
New Areas
Triggers when new area is created.
New Logs
Triggers when new logs is created.
Do thisActions
Action is the task that follows automatically within your Habitify 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 Habitify and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Habitify triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Habitify 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 Habitify 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 Habitify 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 Habitify
Habitify is a habit tracker app designed to help users build and maintain good habits, stay organized, and achieve their personal goals. It provides tools for tracking daily habits, setting reminders, and analyzing progress over time.
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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