Connect KanbanFlow and AI/ML API to Build Intelligent Automations
Ready to use KanbanFlow and AI/ML API 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 Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your KanbanFlow and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in KanbanFlow triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how KanbanFlow data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between KanbanFlow and AI/ML API 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 AI/ML API. 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 AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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