Connect GPT-trainer and buttondown to Build Intelligent Automations
Ready to use GPT-trainer and buttondown automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Send Email
Triggers when a email is created.
Creating a Subscriber
Triggers when a subscriber is created.
email created
Triggers when a email is created.
email updated
Triggers when a email is update
subscriber updated
Triggers when subscriber update
Do thisActions
Action is the task that follows automatically within your GPT-trainer 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.
Updating an email
Updating an email
Update a Subscriber
Updates an existing subscriber in a account.
Updating tag
Updating a tag
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Frequently Asked Questions
To start, connect both your GPT-trainer and buttondown accounts to viaSocket. Once connected, you can set up a workflow where an event in GPT-trainer triggers actions in buttondown (or vice versa).
Absolutely. You can customize how GPT-trainer data is recorded in buttondown. This includes choosing which data fields go into which fields of buttondown, setting up custom formats, and filtering out unwanted information.
The data sync between GPT-trainer and buttondown 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 GPT-trainer and buttondown. 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 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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