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

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Authenticate Straker Verify
Now, click the Straker Verify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Straker Verify settings. Authentication allows you to use Straker Verify through Latenode.
Configure the Google Vertex AI and Straker Verify 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 Straker Verify 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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Straker Verify
Trigger on Webhook
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Google Vertex AI
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Save and Activate the Scenario
After configuring Google Vertex AI, Straker Verify, 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 Straker Verify integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Straker Verify (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 Straker Verify
Straker Verify + Google Vertex AI + Slack: When a file is verified in Straker Verify, analyze its quality using Google Vertex AI's Gemini model. Then, send the analysis results to a designated Slack channel for team review.
Straker Verify + Google Vertex AI + Google Sheets: After a file is verified in Straker Verify, use Google Vertex AI's Gemini model to generate a quality score. Then, automatically store the file name and its quality score in a new row in a Google Sheet for tracking.
Google Vertex AI and Straker Verify 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 Straker Verify
Integrate Straker Verify in Latenode to automate translation quality checks. Flag low-quality translations based on your criteria. Build workflows that automatically re-translate or alert linguists. Use Latenode’s visual editor to connect Straker Verify to your CMS, TMS, or other systems without code, ensuring consistent output and faster localization cycles.
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FAQ Google Vertex AI and Straker Verify
How can I connect my Google Vertex AI account to Straker Verify using Latenode?
To connect your Google Vertex AI account to Straker Verify 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 Straker Verify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate translation verification using AI feedback?
Yes, you can! Latenode allows you to automatically send translations from Straker Verify to Google Vertex AI for AI-powered feedback, saving time and ensuring consistent quality.
What types of tasks can I perform by integrating Google Vertex AI with Straker Verify?
Integrating Google Vertex AI with Straker Verify allows you to perform various tasks, including:
- Automatically submitting translation segments for AI-driven quality checks.
- Using AI insights to prioritize segments needing human review.
- Training custom AI models to improve translation accuracy.
- Triggering alerts for translations that fail quality thresholds.
- Generating reports on translation quality metrics.
Can I use custom prompts with Google Vertex AI in Latenode?
Yes! Latenode supports custom prompts for Google Vertex AI, enabling tailored AI analysis within your Straker Verify workflows.
Are there any limitations to the Google Vertex AI and Straker Verify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex custom AI models may require advanced configuration.
- Rate limits apply based on your Google Vertex AI subscription.
- Large file processing may impact workflow execution time.