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

Add the Microsoft To Do Node
Select the Microsoft To Do node from the app selection panel on the right.

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

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Microsoft To Do and Google Vertex AI 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 Microsoft To Do and Google Vertex AI 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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Google Vertex AI
Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft To Do, Google Vertex AI, 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 Microsoft To Do and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Microsoft To Do and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft To Do and Google Vertex AI
Microsoft To Do + Google Vertex AI + Microsoft Teams: Every day, the automation retrieves all tasks from Microsoft To Do, summarizes them using Google Vertex AI's Gemini model, and sends the summary to a specified Microsoft Teams channel.
Google Calendar + Google Vertex AI + Microsoft To Do: When a Google Calendar event ends, the automation analyzes the event details using Google Vertex AI's Gemini model to identify follow-up tasks, and then creates these tasks in Microsoft To Do.
Microsoft To Do and Google Vertex AI integration alternatives
About Microsoft To Do
Automate task management by integrating Microsoft To Do with Latenode. Automatically create tasks from emails, database entries, or other apps. Sync tasks between systems, set reminders based on triggers, and manage projects visually using Latenode's low-code interface. Stop manual updates and build scalable task workflows.
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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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See how Latenode works
FAQ Microsoft To Do and Google Vertex AI
How can I connect my Microsoft To Do account to Google Vertex AI using Latenode?
To connect your Microsoft To Do account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft To Do and click on "Connect".
- Authenticate your Microsoft To Do and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically categorize my tasks based on AI analysis?
Yes, you can! Latenode allows you to send task descriptions from Microsoft To Do to Google Vertex AI for analysis and then update categories, automating task management and improving organization.
What types of tasks can I perform by integrating Microsoft To Do with Google Vertex AI?
Integrating Microsoft To Do with Google Vertex AI allows you to perform various tasks, including:
- Use AI to generate subtasks from a single to-do item.
- Analyze task descriptions to estimate completion time.
- Prioritize tasks based on sentiment analysis of related notes.
- Automatically assign tasks based on AI-driven skill matching.
- Generate personalized task reminders with AI-powered summaries.
What kind of Microsoft To Do triggers are available in Latenode?
Latenode supports triggers for new tasks, updated tasks, and completed tasks in Microsoft To Do, initiating automated workflows instantly.
Are there any limitations to the Microsoft To Do and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models in Google Vertex AI may require more processing time.
- Rate limits on the Microsoft To Do API may affect high-volume workflows.
- Custom JavaScript code requires technical proficiency for advanced tasks.