Connect GPT-trainer and Callyzer to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for GPT-trainer
Choose an Action
Automatically do this!
Fetch Employee Details
Fetch Call History Report
Fetch Summary Report
Fetch Employee Summary Report
Ready to use GPT-trainer and Callyzer automations
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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- has responseSendDMMessageAdd Step
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Event
Trigger's when new event occurs.
Do thisActions
Action is the task that follows automatically within your GPT-trainer integrations.
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.
Fetch Employee Details
Retrieves details of registered employees, including numbers and tags.
Fetch Call History Report
Returns the total calls, total connected calls, and total call duration, broken down hour-wise for each day.
Fetch Summary Report
Retrieves call counts with Never Attended, Never Received, Unique Clients, and Working Hour.
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Frequently Asked Questions
To start, connect both your GPT-trainer and Callyzer accounts to viaSocket. Once connected, you can set up a workflow where an event in GPT-trainer triggers actions in Callyzer (or vice versa).
Absolutely. You can customize how GPT-trainer data is recorded in Callyzer. This includes choosing which data fields go into which fields of Callyzer, setting up custom formats, and filtering out unwanted information.
The data sync between GPT-trainer and Callyzer 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 GPT-trainer and Callyzer. 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 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.
Learn MoreAbout Callyzer
Callyzer is a comprehensive call tracking and analytics platform designed to help businesses monitor and analyze their call data effectively. It provides insights into call patterns, durations, and sources, enabling businesses to optimize their communication strategies and improve customer interactions.
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