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

Google Vertex AI
⚙

Demio

Authenticate Demio
Now, click the Demio node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Demio settings. Authentication allows you to use Demio through Latenode.
Configure the Google Vertex AI and Demio 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 Demio 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
⚙
AI Anthropic Claude 3
⚙

Demio
Trigger on Webhook
⚙
Google Vertex AI
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Demio, 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 Demio integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Demio (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 Demio
Demio + Google Vertex AI + Slack: When someone joins a Demio webinar, their feedback during the webinar can be analyzed by Google Vertex AI. The AI-generated insights are then sent to a designated Slack channel for review and to improve future Demio events.
Demio + Google Vertex AI + Google Sheets: After a Demio webinar concludes, the webinar transcript can be analyzed using Google Vertex AI to extract key discussion points. These key points are then logged into a Google Sheets spreadsheet for record-keeping and future reference.
Google Vertex AI and Demio 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.
Similar apps
Related categories

About Demio
Automate Demio webinar tasks with Latenode. Connect event data (registrations, attendance) to your CRM, email marketing, or analytics tools. Trigger follow-ups or update databases automatically. Using Latenode means simpler event-driven flows and richer lead insights without manual data handling. Scale your event marketing and save time.
Similar apps
Related categories
See how Latenode works
FAQ Google Vertex AI and Demio
How can I connect my Google Vertex AI account to Demio using Latenode?
To connect your Google Vertex AI account to Demio 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 Demio accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize webinar content based on AI-driven insights?
Yes, you can! Latenode enables you to use Google Vertex AI to analyze customer data and tailor Demio webinar content dynamically, creating more engaging and effective presentations.
What types of tasks can I perform by integrating Google Vertex AI with Demio?
Integrating Google Vertex AI with Demio allows you to perform various tasks, including:
- Automatically generating webinar titles and descriptions using AI.
- Analyzing attendee feedback in real-time and adjusting content.
- Creating personalized follow-up emails based on attendee engagement.
- Predicting webinar attendance based on historical data and AI models.
- Transcribing webinars and summarizing key takeaways using AI.
Can I use custom models with Google Vertex AI in Latenode?
Yes! Latenode allows you to integrate your own custom-trained models from Google Vertex AI directly into your automation workflows for personalized AI experiences.
Are there any limitations to the Google Vertex AI and Demio integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models may require significant processing time.
- Data transfer limits may apply based on your Latenode plan.
- Real-time AI analysis is subject to Google Vertex AI's availability.