Connect Callingly and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Callingly and GPT-trainer
Enable Integrations or automations with these events of Callingly and GPT-trainer
Actions
Create Client
Create a new client in Callingly using the supplied contact details and return the created client's information.
Call Lead
Creates or updates a Lead, calls your Team and puts the first to accept through to the Lead's phone number.
Create Team
Create a team.
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.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your Callingly and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Callingly triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Callingly 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 Callingly 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 Callingly 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 Callingly
Callingly is a powerful tool designed to help businesses connect with leads instantly by automating the process of making phone calls. It ensures that sales teams can respond to inquiries quickly, improving conversion rates and customer satisfaction.
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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