Connect Userback and GPT-trainer to Build Intelligent Automations
Ready to use Userback and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Feedback
Triggered when a new feedback is submitted in Userback.
Do thisActions
Action is the task that follows automatically within your Userback integrations.
List Feedback
List of feedback
List Projects
List Available Projects
Create a Feedback
Creates a new feedback entry in Userback.
List Comments
List comments from a feedback
List Members
Lists available Members
List SessionRecordings
Lists available SessionRecordings
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Frequently Asked Questions
To start, connect both your Userback and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Userback triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Userback 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 Userback 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 Userback 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 Userback
Userback is a visual feedback and bug tracking tool designed to streamline the process of collecting feedback from users and managing it efficiently. It allows teams to gather annotated screenshots, video recordings, and comments directly from users, making it easier to identify and resolve issues quickly.
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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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