How to connect Google Vertex AI and Quentn
Create a New Scenario to Connect Google Vertex AI and Quentn
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 Quentn will be your first step. To do this, click "Choose an app," find Google Vertex AI or Quentn, 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 Quentn Node
Next, click the plus (+) icon on the Google Vertex AI node, select Quentn from the list of available apps, and choose the action you need from the list of nodes within Quentn.

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Authenticate Quentn
Now, click the Quentn node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Quentn settings. Authentication allows you to use Quentn through Latenode.
Configure the Google Vertex AI and Quentn 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 Quentn 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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Quentn
Trigger on Webhook
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Google Vertex AI
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Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, Quentn, 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 Quentn integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Quentn (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 Quentn
Quentn + Google Vertex AI + Google Sheets: When a contact is created or updated in Quentn, their information is sent to Google Vertex AI to analyze sentiment. The sentiment analysis results, along with contact details, are then logged in a Google Sheet for reporting purposes.
Quentn + Google Vertex AI + Slack: When a new contact is created in Quentn, Google Vertex AI analyzes the contact's details to determine their interests. Based on the analysis, a notification is sent to a relevant sales team in Slack using a direct message.
Google Vertex AI and Quentn 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 Quentn
Use Quentn in Latenode to automate email marketing based on triggers from other apps. Build flows that add or update contacts, manage lists, and send personalized campaigns. Centralize all data in Latenode and use its tools to filter and modify customer data from Quentn without complex code.
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See how Latenode works
FAQ Google Vertex AI and Quentn
How can I connect my Google Vertex AI account to Quentn using Latenode?
To connect your Google Vertex AI account to Quentn 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 Quentn accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize marketing messages with AI content?
Yes, absolutely! Latenode lets you use Google Vertex AI to generate personalized content for Quentn marketing campaigns, boosting engagement and conversion rates. Harness AI without code!
What types of tasks can I perform by integrating Google Vertex AI with Quentn?
Integrating Google Vertex AI with Quentn allows you to perform various tasks, including:
- Automatically generating email subject lines using AI.
- Creating personalized welcome messages for new subscribers.
- Analyzing customer feedback to improve Quentn campaigns.
- Predicting customer churn risk based on AI insights.
- Classifying leads into different categories with AI.
How does Latenode handle large data volumes from Google Vertex AI?
Latenode is designed for scalability. Process vast amounts of data from Google Vertex AI to enhance your Quentn marketing automation efficiently.
Are there any limitations to the Google Vertex AI and Quentn integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models might require more processing time.
- Quentn API rate limits can affect high-volume data transfers.
- Custom JavaScript code requires technical expertise.