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

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TidyCal

Authenticate TidyCal
Now, click the TidyCal node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your TidyCal settings. Authentication allows you to use TidyCal through Latenode.
Configure the Google Vertex AI and TidyCal 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 TidyCal 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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TidyCal
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, TidyCal, 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 TidyCal integration works as expected. Depending on your setup, data should flow between Google Vertex AI and TidyCal (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 TidyCal
TidyCal + Google Vertex AI + Slack: When a new booking is created in TidyCal, the details are sent to Google Vertex AI to generate a meeting summary. This summary is then sent to a designated Slack channel.
TidyCal + Google Vertex AI + Google Sheets: When a new booking is created in TidyCal, use Google Vertex AI to analyze the booking details (e.g., customer feedback or meeting notes) and determine a sentiment score. Store the sentiment score, along with other booking details, in a Google Sheet.
Google Vertex AI and TidyCal 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 TidyCal
TidyCal in Latenode streamlines appointment scheduling. Automate follow-ups, CRM updates, or payment processing after each booking. Use Latenode to connect TidyCal to any app via API, transform booking data with JavaScript, and build custom workflows without code. No per-step cost, full control.
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FAQ Google Vertex AI and TidyCal
How can I connect my Google Vertex AI account to TidyCal using Latenode?
To connect your Google Vertex AI account to TidyCal 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 TidyCal accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate personalized meeting summaries?
Yes, you can! Use Latenode to trigger summaries in Google Vertex AI after each TidyCal meeting. Get key insights and action items effortlessly, saving time and improving follow-up.
What types of tasks can I perform by integrating Google Vertex AI with TidyCal?
Integrating Google Vertex AI with TidyCal allows you to perform various tasks, including:
- Analyze meeting transcripts to identify key discussion points.
- Automatically update CRM records with meeting summaries.
- Send personalized follow-up emails based on conversation analysis.
- Generate leads using AI analysis of meeting data.
- Categorize meetings based on sentiment analysis of meeting content.
What Google Vertex AI models can I access through Latenode?
Latenode supports access to all available Google Vertex AI models, including Gemini, PaLM, and Imagen, for diverse automation tasks.
Are there any limitations to the Google Vertex AI and TidyCal integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex prompt engineering in Google Vertex AI might require coding knowledge.
- TidyCal's API rate limits can affect high-volume workflows.
- Real-time analysis of meeting content is not supported; analysis is post-meeting.