How to connect Google Vertex AI and Motion
Create a New Scenario to Connect Google Vertex AI and Motion
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Motion will be your first step. To do this, click "Choose an app," find Google Vertex AI or Motion, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Motion Node
Next, click the plus (+) icon on the Google Vertex AI node, select Motion from the list of available apps, and choose the action you need from the list of nodes within Motion.

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Authenticate Motion
Now, click the Motion node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Motion settings. Authentication allows you to use Motion through Latenode.
Configure the Google Vertex AI and Motion Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Vertex AI and Motion Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Motion, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Vertex AI and Motion integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Motion (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Motion
Google Vertex AI + Motion + Slack: When a new message is posted to a Slack channel, analyze the content using Google Vertex AI's Gemini model. Based on the analysis, create a task in Motion and send a summary of the message along with the newly created task to a Slack channel.
Google Calendar + Google Vertex AI + Motion: When a new event is added to Google Calendar, use Google Vertex AI's Gemini to generate a meeting agenda. Then, create a task in Motion to follow up on the meeting. Update the Google Calendar event with a description of the action item created in Motion.
Google Vertex AI and Motion integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About Motion
Use Motion in Latenode to auto-schedule tasks and projects based on real-time data. Trigger Motion updates from other apps, or update other tools when Motion tasks change. Connect it to your CRM or calendar, and automate team workflows. The low-code editor simplifies customization, ensuring tasks are prioritized and deadlines are met across all platforms.
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See how Latenode works
FAQ Google Vertex AI and Motion
How can I connect my Google Vertex AI account to Motion using Latenode?
To connect your Google Vertex AI account to Motion on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Motion accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically schedule tasks based on AI insights?
Yes! Latenode lets you trigger Motion tasks from Google Vertex AI insights, automating project management. Leverage no-code blocks and JavaScript for complex logic.
What types of tasks can I perform by integrating Google Vertex AI with Motion?
Integrating Google Vertex AI with Motion allows you to perform various tasks, including:
- Creating Motion tasks from sentiment analysis of customer feedback.
- Prioritizing tasks in Motion based on AI-predicted project risk.
- Updating task deadlines in Motion using AI-driven time estimations.
- Generating project briefs in Motion using Google Vertex AI's text generation.
- Assigning Motion tasks based on AI-identified team member expertise.
How do I use AI models in Latenode with my Motion projects?
Latenode lets you call Google Vertex AI models directly within your workflows. Pass data from Motion, and automate steps with AI insights.
Are there any limitations to the Google Vertex AI and Motion integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript knowledge.
- Google Vertex AI model training is separate from Latenode workflows.
- Real-time synchronization between the apps is not supported.