Connect KanbanFlow and GPT-trainer to Build Intelligent Automations
Ready to use KanbanFlow and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Task Is Created
Runs when New Task Is Created
Task Is Moved
Runs when Task Is Moved between columns or swimlanes
Do thisActions
Action is the task that follows automatically within your KanbanFlow integrations.
Create Task
Create a task in a column or swimlane
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.
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Frequently Asked Questions
To start, connect both your KanbanFlow and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in KanbanFlow triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how KanbanFlow 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 KanbanFlow 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 KanbanFlow 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 KanbanFlow
KanbanFlow is a Lean project management tool for you and your team. Its intuitive user interface will get you up and running in a few minutes. It has a built-in task timer with support for the Pomodoro technique.
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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