Connect Iterate and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
Survey Question Answered
Survey Completed
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Ready to use Iterate and GPT-trainer automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Survey Question Answered
Runs when question answered
Survey Completed
Runs when survey completed
Do thisActions
Action is the task that follows automatically within your Iterate integrations.
Add User to Survey
Add user to a survey
List Surveys
Show all survey forms
Get Survey Responses
Retrieve responses for a survey
Get Survey Stats
Get survey response statistics
Search User
Find user by email/ID/property
Anonymize User
Remove a user's personal data
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Frequently Asked Questions
To start, connect both your Iterate and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Iterate triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Iterate 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 Iterate 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 Iterate 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 Iterate
Iterate helps teams collect customer feedback and insights through targeted surveys and forms.
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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