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

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

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Fomo

Authenticate Fomo
Now, click the Fomo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fomo settings. Authentication allows you to use Fomo through Latenode.
Configure the Google Vertex AI and Fomo 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 Google Vertex AI and Fomo 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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Fomo
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Fomo, 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 Google Vertex AI and Fomo integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Fomo (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Fomo
Slack + Google Vertex AI + Fomo: When a new mention occurs in Slack, use Google Vertex AI to analyze the sentiment of the message. If the sentiment is positive, create a Fomo event to display the positive feedback.
Fomo + Google Vertex AI + Google Sheets: When a new Fomo event occurs, use Google Vertex AI to categorize the event. Then, log the event and its category in a Google Sheet for tracking popular content.
Google Vertex AI and Fomo integration alternatives
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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About Fomo
Use Fomo in Latenode to display real-time social proof notifications based on your workflows. Trigger Fomo updates from new leads, purchases, or form submissions. Automate targeted announcements to boost conversion without manual updates. Integrate directly via API and scale notifications with Latenode’s usage-based pricing.
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FAQ Google Vertex AI and Fomo
How can I connect my Google Vertex AI account to Fomo using Latenode?
To connect your Google Vertex AI account to Fomo on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Fomo accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize Fomo notifications using Vertex AI analysis?
Yes, you can! Latenode lets you use Vertex AI to analyze data and then trigger personalized Fomo notifications, boosting engagement and conversions with relevant social proof.
What types of tasks can I perform by integrating Google Vertex AI with Fomo?
Integrating Google Vertex AI with Fomo allows you to perform various tasks, including:
- Generate personalized social proof based on AI-driven customer segmentation.
- Automatically announce successful AI model deployments via Fomo notifications.
- Display trending AI-generated content topics in real-time via Fomo.
- Send Fomo notifications when Vertex AI detects anomalies in customer behavior.
- Showcase AI-powered recommendations with Fomo for increased user engagement.
Can I use JavaScript functions to transform data between the two apps?
Absolutely! Latenode enables the use of JavaScript code blocks for complex data transformations between Google Vertex AI and Fomo, adding flexibility to your workflows.
Are there any limitations to the Google Vertex AI and Fomo integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI model deployments may require significant Latenode workflow processing time.
- Fomo notification limits are governed by your Fomo subscription plan.
- Real-time data synchronization depends on the API request limits of both services.