Connect Wati and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
New Event Occurs
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Ready to use Wati and GPT-trainer automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Event Occurs
Runs when a specific event occurs in Wati.
Do thisActions
Action is the task that follows automatically within your Wati integrations.
Send Template Based WhatsApp Message
Send a predefined WhatsApp message template.
Add Contact
Create a new Contact in Wati.
Send Session Message
Send a WhatsApp Message to an open session.
Update Contact Attributes
Update an existing Contact with attributes on WATI.
Start Chat Bot
Start a chat bot in specific wati contact.
Assign User
Assign conversation to other user/agent.
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Frequently Asked Questions
To start, connect both your Wati and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Wati triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Wati 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 Wati 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 Wati 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 Wati
Wati is an end-to-end customer communication platform on WhatsApp with Team Inbox, No Code Chatbot Builder, Broadcasts & more.
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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