How to connect Delighted and Google Vertex AI
Create a New Scenario to Connect Delighted and Google Vertex AI
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 Delighted, triggered by another scenario, or executed manually (for testing purposes). In most cases, Delighted or Google Vertex AI will be your first step. To do this, click "Choose an app," find Delighted or Google Vertex AI, and select the appropriate trigger to start the scenario.

Add the Delighted Node
Select the Delighted node from the app selection panel on the right.

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

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Delighted and Google Vertex AI 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 Delighted and Google Vertex AI 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Delighted, Google Vertex AI, 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 Delighted and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Delighted and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Delighted and Google Vertex AI
Delighted + Google Vertex AI + Slack: When a new response is received in Delighted, the survey response is analyzed using Google Vertex AI to extract sentiment and key insights. These insights are then posted to a dedicated Slack channel for the team to review.
Delighted + Google Vertex AI + Google Sheets: When a new response is submitted in Delighted, Google Vertex AI analyzes the feedback to categorize and extract relevant information. This categorized data, along with the original response, is then logged into a Google Sheet for further analysis and record-keeping.
Delighted and Google Vertex AI integration alternatives
About Delighted
Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.
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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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See how Latenode works
FAQ Delighted and Google Vertex AI
How can I connect my Delighted account to Google Vertex AI using Latenode?
To connect your Delighted account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Delighted and click on "Connect".
- Authenticate your Delighted and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze sentiment of survey responses using AI?
Yes, easily! Latenode lets you send Delighted survey responses to Google Vertex AI for sentiment analysis, then trigger actions based on the results. Get faster insights without code.
What types of tasks can I perform by integrating Delighted with Google Vertex AI?
Integrating Delighted with Google Vertex AI allows you to perform various tasks, including:
- Automatically classify survey responses based on sentiment analysis.
- Identify key topics and trends from customer feedback data.
- Generate personalized responses to detractors using AI.
- Route negative feedback to support teams immediately.
- Trigger proactive outreach based on predicted churn risk.
Can I use custom prompts with Vertex AI models within Latenode?
Yes! Latenode allows you to fully customize prompts for Google Vertex AI, giving you precise control over analysis and response generation. This ensures relevance and accuracy.
Are there any limitations to the Delighted and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Vertex AI costs are separate and depend on your usage.
- The integration relies on the accuracy of the AI models.
- Rate limits for Delighted and Google Vertex AI APIs apply.