How to connect OpenAI Vision and Vitally
Create a New Scenario to Connect OpenAI Vision and Vitally
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 OpenAI Vision, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Vision or Vitally will be your first step. To do this, click "Choose an app," find OpenAI Vision or Vitally, 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.

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

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

JavaScript
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AI Anthropic Claude 3
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Vitally
Trigger on Webhook
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OpenAI Vision
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Webhook response
Save and Activate the Scenario
After configuring OpenAI Vision, Vitally, 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 OpenAI Vision and Vitally integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Vitally (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 Vitally
OpenAI Vision + Vitally + Slack: When a new file is uploaded to Slack, analyze it with OpenAI Vision for sentiment. Update the user's profile in Vitally with the sentiment score, and if the score is negative, send a Slack message to a designated channel alerting the CSM.
Vitally + OpenAI Vision + Zendesk: When a user's data is updated in Vitally, use OpenAI Vision to analyze a screenshot (assuming the URL is stored in Vitally). Create a Zendesk ticket including a summary of the screenshot analysis.
OpenAI Vision and Vitally 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.
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About Vitally
Use Vitally in Latenode to centralize customer success data and automate actions based on health scores. Sync data, trigger alerts for at-risk users, and personalize support workflows, all within Latenode's visual editor. Combine Vitally's insights with other tools for smarter, automated customer lifecycle management.
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FAQ OpenAI Vision and Vitally
How can I connect my OpenAI Vision account to Vitally using Latenode?
To connect your OpenAI Vision account to Vitally 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 Vitally accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer screenshots within Vitally using OpenAI Vision?
Yes, you can! With Latenode, automatically send screenshots from Vitally to OpenAI Vision for analysis, tagging, and insights, enhancing customer understanding.
What types of tasks can I perform by integrating OpenAI Vision with Vitally?
Integrating OpenAI Vision with Vitally allows you to perform various tasks, including:
- Automatically tagging customer feedback in Vitally based on image content.
- Analyzing user interface screenshots to identify potential usability issues.
- Extracting key product features mentioned in shared images.
- Categorizing customer support tickets based on visual problem descriptions.
- Generating summary reports of visual trends extracted from customer data.
How does Latenode handle large image files from OpenAI Vision?
Latenode efficiently manages large files, processing them through OpenAI Vision and seamlessly transferring data to Vitally.
Are there any limitations to the OpenAI Vision and Vitally integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits on the OpenAI Vision API may affect high-volume processing.
- Vitally's API may have limitations on the size of data that can be ingested.
- Custom JavaScript code might be required for advanced data transformations.