Connect Drift and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Drift and GPT-trainer
Enable Integrations or automations with these events of Drift and GPT-trainer
Actions
Update Known Contact
Updates an existing contact.
Create or Update Contact From External
Creates or updates a contact.
Find User by End User Id
Lookup User information by their end user id.
Find User by Anonymous Id
Lookup data for an existing user by their anonymous id.
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.
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Frequently Asked Questions
To start, connect both your Drift and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Drift triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Drift 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 Drift 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 Drift 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 Drift
Drift is a conversational marketing and sales platform that helps businesses connect with their customers in real-time through chat, email, video, and more. It enables companies to engage with website visitors, qualify leads, and accelerate the sales cycle.
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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