Connect Miro and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
New Card
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Card
Triggers when a new card is created.
Do thisActions
Action is the task that follows automatically within your Miro integrations.
Get All Board
Get a list of all existing boards
Get All Frame
Get all existing frames of a board
Create a Board
Create a new board
Copy Board
Copies an existing board
Create a Card
Create a new card on a board
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
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Watch Integrations In Action
Frequently Asked Questions
To start, connect both your Miro and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Miro triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Miro 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 Miro 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 Miro 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 Miro
Miro is a collaborative online whiteboard platform designed to empower teams to work effectively together, from brainstorming with digital sticky notes to planning and managing agile workflows.
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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