OpenAI Vision and Delighted Integration

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Automatically analyze user-submitted images with OpenAI Vision and trigger targeted follow-up surveys in Delighted, all visually orchestrated in Latenode. Customize the image analysis and survey logic with JavaScript, scaling affordably by paying only for execution time.

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OpenAI Vision

Delighted

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OpenAI Vision and Delighted

Create a New Scenario to Connect OpenAI Vision and Delighted

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

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

Add the OpenAI Vision Node

Select the OpenAI Vision node from the app selection panel on the right.

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OpenAI Vision

Configure the OpenAI Vision

Click on the OpenAI Vision node to configure it. You can modify the OpenAI Vision URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect OpenAI Vision

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Run node once

Add the Delighted Node

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

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Authenticate Delighted

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

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Configure the OpenAI Vision and Delighted 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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Set Up the OpenAI Vision and Delighted 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 donโ€™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 OpenAI Vision, Delighted, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the OpenAI Vision and Delighted integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Delighted (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OpenAI Vision and Delighted

Delighted + Slack: When a new negative response is received in Delighted, send a message to a Slack channel to alert the support team.

Delighted + Zendesk: When a new response is received in Delighted, create a Zendesk ticket.

OpenAI Vision and Delighted integration alternatives

About OpenAI Vision

Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.

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 โ€” all without per-step costs.

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FAQ OpenAI Vision and Delighted

How can I connect my OpenAI Vision account to Delighted using Latenode?

To connect your OpenAI Vision account to Delighted on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select OpenAI Vision and click on "Connect".
  • Authenticate your OpenAI Vision and Delighted accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze image-based feedback and trigger Delighted surveys?

Yes! Latenode enables automated workflows using OpenAI Vision to analyze images and instantly trigger targeted Delighted surveys. Get deeper insights using AI-powered automation.

What types of tasks can I perform by integrating OpenAI Vision with Delighted?

Integrating OpenAI Vision with Delighted allows you to perform various tasks, including:

  • Automatically sending surveys based on detected objects in customer images.
  • Analyzing sentiment in images and triggering follow-up Delighted surveys.
  • Classifying image feedback and routing it to the correct support team.
  • Extracting text from images and using it as personalized survey inputs.
  • Identifying product issues from user photos and alerting relevant teams.

Can I use custom JavaScript code to transform OpenAI Vision data?

Yes, Latenode allows JavaScript code blocks to process and transform OpenAI Vision data before sending to Delighted. Customize any step easily.

Are there any limitations to the OpenAI Vision and Delighted integration on Latenode?

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

  • OpenAI Vision's processing time can affect workflow execution speed.
  • Delighted's survey limits may impact the frequency of automated surveys.
  • Complex image analysis may require fine-tuning OpenAI Vision parameters.

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