
When this happens...
Task Completed
File Uploaded
New Checklist

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new task is created in Checkflow.
Triggers when a new file is uploaded within a task.
Triggers when a new checklist is created.
Action is the task that follows automatically within your CheckFlow integrations.
Create a new checklist
Create shareable checklist URL
Get checklists; create if none
Creates a new project.
Create a new session
Delete a project.

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To start, connect both your CheckFlow and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in CheckFlow triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how CheckFlow data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between CheckFlow and V7 Go 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 CheckFlow and V7 Go. 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.
Checkflow is a powerful tool designed to streamline and automate your workflow processes. It helps teams manage tasks, track progress, and ensure that all steps in a process are completed efficiently. With Checkflow, you can create custom workflows, assign tasks, and monitor the status of each project in real-time, making it an essential tool for enhancing productivity and collaboration.
Learn MoreV7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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