
When this happens...

Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Enable Integrations or automations with these events of Mindmeister and GPT-trainer
Retrieve the authenticated user's profile and account details.
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 Mindmeister and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Mindmeister triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Mindmeister 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 Mindmeister 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 Mindmeister 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.
MindMeister is an online mind mapping tool that allows users to visually organize their thoughts, ideas, and information. It is designed to facilitate brainstorming, project planning, and collaboration by providing an intuitive platform for creating and sharing mind maps. With features like real-time collaboration, task management, and integration with other productivity tools, MindMeister is ideal for teams and individuals looking to enhance their creative and organizational 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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