When this happens...

Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Enable Integrations or automations with these events of Entera CRM and GPT-trainer
Creates a new contact in Entera CRM.
creation of new organizations within the system.
This endpoint allows you to add a new lead to the system.
This endpoint allows you to add a new contact to the system.
Create a QA source for a chatbot specified by chatbot uuid
Creates a URL source for a chatbot specified by chatbot uuid.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Entera CRM and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Entera CRM triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Entera CRM 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 Entera CRM 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 Entera CRM 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.
Entera CRM is a comprehensive customer relationship management platform designed to streamline and enhance the way businesses interact with their customers. It offers a suite of tools to manage customer data, track interactions, and automate sales processes, ensuring that businesses can maintain strong relationships and improve customer satisfaction.
Learn MoreGPT 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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