
When this happens...
New Task
New Story
Completed Task
New Tag Created
New Comment
New Project

Automatically do this!
Enable Integrations or automations with these events of Asana and Labelf
Triggered when a New Task is created in a Project.
Triggeres when a new story is added to a task.
Triggered when a task within a project is marked as completed. Does not trigger on completed subtasks.
Triggeres when you create a new tag
Triggers when a new comment is added on a task.
Triggers when a new Project is created.
Add a new project.
Deleting a project using project gid.
Creats a new task.
Update an existing task.
Create a new section in the selected Asana project; optionally insert it before or after an existing section.
Create a subtask under a specified parent task in Asana.
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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 Asana and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Asana triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Asana data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Asana and Labelf 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 Asana and Labelf. 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.
Organize your work and boost your team's productivity with Asana. This easy-to-use app helps you manage tasks, projects, and deadlines all in one place.
Learn MoreLabelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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