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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new message is received.
Triggers when a new message is sent.
Action is the task that follows automatically within your SerwerSMS integrations.
Add a phone number to the blacklist to prevent it from receiving SMS.
Add a new contact.
Send message SMS.
Create a QA source for a chatbot specified by chatbot uuid
Creates a URL source for a chatbot specified by chatbot uuid.
Create a source tag for a chatbot.

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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 SerwerSMS and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in SerwerSMS triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how SerwerSMS 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 SerwerSMS 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 SerwerSMS 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.
SerwerSMS is a comprehensive platform for managing SMS communication, offering tools for sending bulk messages, notifications, and marketing campaigns. It is designed to enhance customer engagement and streamline communication processes.
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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