Linear and Google Vertex AI Integration

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Automatically enrich Linear tickets with AI insights using Google Vertex AI. Latenode's visual editor makes it easy to chain AI tasks, add custom logic with JavaScript, and scale affordably by paying only for execution time.

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Linear

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Linear and Google Vertex AI

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

Add the Linear Node

Select the Linear node from the app selection panel on the right.

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Configure the Linear

Click on the Linear node to configure it. You can modify the Linear URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Linear

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Run node once

Add the Google Vertex AI Node

Next, click the plus (+) icon on the Linear 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.

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Configure the Linear 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.

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Run node once

Set Up the Linear 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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Save and Activate the Scenario

After configuring Linear, 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 Linear and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Linear 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 Linear and Google Vertex AI

Linear + Google Vertex AI + Slack: When a new issue is created in Linear, the description is analyzed for sentiment using Google Vertex AI. If the sentiment is negative, a notification is sent to a specified Slack channel.

Linear + Google Vertex AI + Google Sheets: When an issue is updated in Linear, the description is summarized using Google Vertex AI. The summary and relevant issue metrics are then added as a new row to a Google Sheet for progress tracking.

Linear and Google Vertex AI integration alternatives

About Linear

Connect Linear to Latenode for automated issue tracking. Streamline bug reporting from various sources. Automatically create Linear issues from form submissions or customer support tickets. Update issue statuses based on events in other systems like Git or CI/CD pipelines, all within a scalable, low-code workflow.

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.

See how Latenode works

FAQ Linear and Google Vertex AI

How can I connect my Linear account to Google Vertex AI using Latenode?

To connect your Linear account to Google Vertex AI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Linear and click on "Connect".
  • Authenticate your Linear and Google Vertex AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically generate Linear issue summaries with AI?

Yes, you can! Latenode lets you trigger Google Vertex AI from new Linear issues, creating summaries. This saves time and ensures consistent documentation across your team.

What types of tasks can I perform by integrating Linear with Google Vertex AI?

Integrating Linear with Google Vertex AI allows you to perform various tasks, including:

  • Automatically classify new Linear issues based on their description using AI.
  • Generate personalized responses to Linear issue reporters using AI.
  • Analyze Linear issue sentiment to prioritize urgent tasks effectively.
  • Predict issue resolution time using historical data via Vertex AI.
  • Enrich Linear issues with AI-generated context from external sources.

How does Latenode enhance Linear automation capabilities?

Latenode combines Linear with AI using a visual editor, JavaScript, and custom logic, enabling automations that go far beyond basic integrations.

Are there any limitations to the Linear and Google Vertex AI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex AI models may require significant processing time.
  • API rate limits of Linear and Vertex AI may affect workflow speed.
  • Custom JavaScript code requires technical expertise to implement.

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