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

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Authenticate Brilliant Directories
Now, click the Brilliant Directories node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Brilliant Directories settings. Authentication allows you to use Brilliant Directories through Latenode.
Configure the OpenAI Vision and Brilliant Directories 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 Brilliant Directories 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Vision, Brilliant Directories, 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 Brilliant Directories integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Brilliant Directories (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 Brilliant Directories
Brilliant Directories + Google Sheets: When a new post is created in Brilliant Directories, its details are added as a new row in a Google Sheet for review and analysis.
Brilliant Directories + Slack: When a new post is created in Brilliant Directories, send a message to a Slack channel to notify the administrators. The message will contain the new post title.
OpenAI Vision and Brilliant Directories 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 Brilliant Directories
Orchestrate Brilliant Directories data within Latenode to automate member management and content workflows. Sync directory listings with CRMs, trigger email sequences based on membership changes, or automate content moderation. Extend directory features with Latenode's AI tools and custom JavaScript actions.
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FAQ OpenAI Vision and Brilliant Directories
How can I connect my OpenAI Vision account to Brilliant Directories using Latenode?
To connect your OpenAI Vision account to Brilliant Directories 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 Brilliant Directories accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically moderate user-submitted profile pictures?
Yes, you can! Latenode automates this using OpenAI Vision to analyze images and flag inappropriate content, ensuring a safer Brilliant Directories community. Benefit from Latenode's visual workflow editor.
What types of tasks can I perform by integrating OpenAI Vision with Brilliant Directories?
Integrating OpenAI Vision with Brilliant Directories allows you to perform various tasks, including:
- Automatically tagging member photos with relevant keywords for better search.
- Verifying the authenticity of uploaded documents using AI-powered analysis.
- Creating automated workflows for content moderation on member profiles.
- Generating alt text for images to improve SEO and accessibility.
- Extracting text from images on member profiles to populate database fields.
Can I use OpenAI Vision to verify the authenticity of business logos?
Yes, Latenode enables logo verification, enhancing trust within your Brilliant Directories platform with automated image analysis powered by AI steps.
Are there any limitations to the OpenAI Vision and Brilliant Directories integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex image analysis may consume more OpenAI Vision credits.
- Real-time processing depends on the API rate limits of both services.
- Custom JavaScript code might be needed for highly specific image handling.