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

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

Save and Activate the Scenario
After configuring Google Vertex AI, Teamwork, 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 Teamwork integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Teamwork (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 Teamwork
Teamwork + Google Vertex AI + Slack: When a new comment is added to Teamwork, analyze its sentiment using Google Vertex AI, and then post the comment and its sentiment analysis to a dedicated Slack channel.
Teamwork + Google Vertex AI + Google Sheets: When a new task is created in Teamwork, summarize the task description's sentiment using Google Vertex AI, and log the task name and sentiment analysis into a Google Sheet for weekly summaries.
Google Vertex AI and Teamwork 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 Teamwork
Streamline project tasks in Teamwork via Latenode. Automatically create, update, or close tasks based on triggers from other apps like Slack or email. Improve project tracking and team coordination by connecting Teamwork to your workflows. Use Latenode for complex logic and custom data routing without code.
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FAQ Google Vertex AI and Teamwork
How can I connect my Google Vertex AI account to Teamwork using Latenode?
To connect your Google Vertex AI account to Teamwork 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 Teamwork accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze project feedback with AI?
Yes, you can! Latenode enables sentiment analysis of Teamwork feedback via Google Vertex AI, then automatically updates task priorities. Boost efficiency by focusing on critical issues first.
What types of tasks can I perform by integrating Google Vertex AI with Teamwork?
Integrating Google Vertex AI with Teamwork allows you to perform various tasks, including:
- Categorizing Teamwork tasks using AI-powered text analysis.
- Generating project summaries from Teamwork data using Google Vertex AI.
- Predicting project risks based on historical Teamwork data and AI models.
- Automating personalized task assignments based on AI-driven skill assessment.
- Extracting key insights from project communication using natural language processing.
How does Latenode handle Google Vertex AI authentication?
Latenode securely manages Google Vertex AI authentication using industry-standard OAuth 2.0, ensuring safe access to your AI models.
Are there any limitations to the Google Vertex AI and Teamwork integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data volumes may impact processing time due to API rate limits.
- Custom AI models require appropriate setup and configuration in Google Vertex AI.
- The integration relies on the availability and stability of both APIs.