Delighted and Google AI Integration

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Analyze Delighted survey responses with Google AI for nuanced sentiment analysis, unlocking deeper insights. Latenode's visual editor and affordable pricing make complex feedback processing accessible, adding custom logic via JavaScript and scaling effortlessly.

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Delighted

Google AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Delighted and Google AI

Create a New Scenario to Connect Delighted and Google 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 AI will be your first step. To do this, click "Choose an app," find Delighted or Google 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.

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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.

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Run node once

Add the Google AI Node

Next, click the plus (+) icon on the Delighted node, select Google AI from the list of available apps, and choose the action you need from the list of nodes within Google AI.

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Authenticate Google AI

Now, click the Google AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AI settings. Authentication allows you to use Google AI through Latenode.

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Configure the Delighted and Google AI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Delighted and Google 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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Save and Activate the Scenario

After configuring Delighted, Google 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 AI integration works as expected. Depending on your setup, data should flow between Delighted and Google 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 AI

Delighted + Google AI + Slack: When a new response is received in Delighted, Google AI analyzes the sentiment of the response. If the sentiment is negative, a message is sent to a specific Slack channel to alert the team.

Delighted + Google AI + Zendesk: When a new response is received in Delighted, Google AI categorizes the feedback. If the feedback is categorized as urgent, a new ticket is created in Zendesk for immediate attention.

Delighted and Google 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.

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

See how Latenode works

FAQ Delighted and Google AI

How can I connect my Delighted account to Google AI using Latenode?

To connect your Delighted account to Google 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 AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze survey responses for sentiment automatically?

Yes, you can! Latenode allows you to trigger Google AI from Delighted surveys to automatically analyze sentiment and route feedback, saving time and improving response handling.

What types of tasks can I perform by integrating Delighted with Google AI?

Integrating Delighted with Google AI allows you to perform various tasks, including:

  • Categorizing survey feedback using AI topic detection.
  • Generating personalized follow-up messages.
  • Identifying key customer satisfaction drivers.
  • Translating customer feedback into different languages.
  • Summarizing long-form responses for quick analysis.

Can I trigger actions based on Delighted survey scores in Latenode?

Yes, you can easily set up triggers based on NPS, CSAT, or other scores to automate workflows and improve customer experiences instantly.

Are there any limitations to the Delighted and Google AI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex AI models may require significant processing time.
  • API rate limits on Delighted and Google AI may affect high-volume workflows.
  • Custom prompt engineering may be needed for optimal accuracy.

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