Integrate Jogg AI with Looker Studio (Google Data Studio) to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Search Asset in Looker when New Video Generated in Joggai
List Asset Permissions in Looker when New Video Generated in Joggai
Add members to Looker Studio asset in Looker Studio when New Video Generated in Joggai
Search Asset in Looker when Generated Video Failed from Jogg AI
List Asset Permissions in Looker when Generated Video Failed from Jogg AI
Start from a real workflow other teams are already running.
Jogg AI
When this happens...
New Video Generated
Generated Video Failed
Looker Studio (Google Data Studio)
Automatically do this!
Search Asset
List Asset Permissions
Add members to Looker Studio asset
Search Asset in Looker when New Video Generated in Joggai
Use this flowList Asset Permissions in Looker when New Video Generated in Joggai
Use this flowAdd members to Looker Studio asset in Looker Studio when New Video Generated in Joggai
Use this flowSearch Asset in Looker when Generated Video Failed from Jogg AI
Use this flowList Asset Permissions in Looker when Generated Video Failed from Jogg AI
Use this flowAdd members to Looker Studio asset in Looker Studio when Generated Video Failed from Jogg AI
Use this flowEverything you can automate between Jogg AI and Looker Studio (Google Data Studio).
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new video is generated
Triggers when a generated video failed
Action is the task that follows automatically within your Jogg AI integrations.
Lists available AI templates.
Lists available avatars.
Lists available music.
Lists custom templates.
Lists cloned voices.
Lists photo avatars.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Jogg AI is an advanced platform that leverages artificial intelligence to enhance and streamline the process of video and audio transcription. It offers cutting-edge tools for converting spoken content into written text with high accuracy and efficiency, making it an ideal solution for businesses, content creators, and professionals who require reliable transcription services
Learn moreLooker is a powerful business intelligence and data analytics platform that helps organizations explore, analyze, and share real-time business insights. It provides a user-friendly interface for creating data-driven reports and dashboards, enabling data teams to collaborate effectively and make informed decisions.
Learn moreSign up for a free viaSocket account, then authorize both your Jogg AI and Looker Studio (Google Data Studio) accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Jogg AI and Looker Studio (Google Data Studio) as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Looker Studio (Google Data Studio). No coding required.
Yes. You can set up a workflow where Jogg AI triggers actions in Looker Studio (Google Data Studio), and a separate workflow where Looker Studio (Google Data Studio) triggers actions in Jogg AI. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Jogg AI and Looker Studio (Google Data Studio). Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Jogg AI and Looker Studio (Google Data Studio) integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.