Connect Tuskr and ClosedLoop AI to Build Intelligent Automations
Ready to use Tuskr and ClosedLoop AI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Test Run Result
runs when New Test Run Result
New Product Insight Generated
Runs when new product insight is generated
Do thisActions
Action is the task that follows automatically within your Tuskr integrations.
Add test run results
Add multiple test run results to Tuskr.
Find a Project
Find a Project using ID or Name.
Create Test Run
Create a test run with the provided data.
Ingest Feedback
Send customer feedback from any source to extract product insights.
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Frequently Asked Questions
To start, connect both your Tuskr and ClosedLoop AI accounts to viaSocket. Once connected, you can set up a workflow where an event in Tuskr triggers actions in ClosedLoop AI (or vice versa).
Absolutely. You can customize how Tuskr data is recorded in ClosedLoop AI. This includes choosing which data fields go into which fields of ClosedLoop AI, setting up custom formats, and filtering out unwanted information.
The data sync between Tuskr and ClosedLoop AI 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 Tuskr and ClosedLoop AI. 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 Tuskr
Tuskr is a comprehensive project management and task tracking tool designed to streamline workflows and enhance team productivity. It offers features like task assignments, progress tracking, and collaboration tools to ensure efficient project execution.
Learn MoreAbout ClosedLoop AI
ClosedLoop AI offers advanced AI solutions tailored for healthcare analytics, enabling organizations to leverage data-driven insights for improved patient outcomes and operational efficiency.
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