Connect TimelinesAI and GPT-trainer to Build Intelligent Automations
Ready to use TimelinesAI and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Uploaded File
Triggers when new uploaded_file is created.
New Whatsapp Account
Triggers when new whatsapp_accounts is created.
Do thisActions
Action is the task that follows automatically within your TimelinesAI integrations.
Send Message to New Chat
Sends a message to a new chat.
Send Uploaded File to Existing Chat
Sends an uploaded file to an existing chat.
Send Message to Existing Chat
Sends a message to an already existing chat.
Find Whatsapp Account
Finds a specific WhatsApp account.
Close Chat
Closes an existing chat.
Find Uploaded File
Finds an uploaded file in the system.
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Frequently Asked Questions
To start, connect both your TimelinesAI and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in TimelinesAI triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how TimelinesAI 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 TimelinesAI 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 TimelinesAI 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 TimelinesAI
TimelinesAI allows you to share access to your personal or business Whatsapp account, integrate it with other applications and build automations for your business and marketing flows.
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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.
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