Connect Fellow and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Fellow
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Fellow and V7 Go
Enable Integrations or automations with these events of Fellow and V7 Go
Actions
List Action Items
Show meeting action items
Mark Action Item Complete
Mark or unmark an action item
Archive Action Item
Archive an action item
List Meeting Recordings
Find meeting recordings
Retrieve Recording
Get a meeting recording
List Meeting Notes
Get meeting notes and actions
Know More About Fellow and V7 Go Integrations
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Frequently Asked Questions
To start, connect both your Fellow and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Fellow triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Fellow 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 Fellow 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 Fellow 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.
About Fellow
Tool for teams to create meeting agendas, capture notes, and assign action items.
Learn MoreAbout V7 Go
V7 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.
Learn More
