Harvest and Google Vertex AI Integration

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Analyze Harvest time entries using Google Vertex AI for project performance insights. Latenode's visual editor makes it easy to connect apps, while affordable pricing lets you scale analysis across all projects. Use JavaScript for advanced data transformation.

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Harvest

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Harvest and Google Vertex AI

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

Add the Harvest Node

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

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Harvest

Configure the Harvest

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

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Run node once

Add the Google Vertex AI Node

Next, click the plus (+) icon on the Harvest 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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Google Vertex AI

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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Google Vertex AI

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Run node once

Configure the Harvest 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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Google Vertex AI Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Harvest 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 Harvest, 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 Harvest and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Harvest 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 Harvest and Google Vertex AI

Harvest + Google Vertex AI + Slack: When a new time entry is created in Harvest, the description is analyzed by Google Vertex AI for anomalies. If anomalies are detected, a message is sent to a Slack channel to notify managers.

Harvest + Google Vertex AI + Google Sheets: When a new time entry is created in Harvest, Google Vertex AI categorizes the time entry based on the description. The categorized time entry is then logged in Google Sheets for reporting and analysis.

Harvest and Google Vertex AI integration alternatives

About Harvest

Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.

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 Harvest and Google Vertex AI

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

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

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

Can I automatically analyze project descriptions using Harvest and Google Vertex AI?

Yes, you can! Latenode’s visual editor simplifies the process, letting you analyze Harvest project data with Vertex AI for insights and better project planning.

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

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

  • Generate project summaries from time entries for efficient reporting.
  • Analyze task descriptions to identify potential project risks.
  • Predict resource allocation needs based on historical project data.
  • Automatically categorize time entries using AI-driven text analysis.
  • Create custom reports with AI-generated insights on team productivity.

How secure is my Harvest data when using Latenode integrations?

Latenode employs enterprise-grade security measures, including encryption and access controls, ensuring your Harvest data is protected throughout the integration process.

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

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

  • Large data volumes from Harvest might impact Google Vertex AI processing times.
  • Complex custom fields in Harvest may require custom JavaScript mapping.
  • Real-time data synchronization depends on Harvest's API rate limits.

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