Ghost and Google Vertex AI Integration

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Automatically enrich Ghost blog content with Google Vertex AI to improve SEO and engagement. Latenode’s visual editor and affordable pricing simplify AI integration, letting you focus on quality content instead of complex setup.

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Ghost

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Ghost and Google Vertex AI

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

Add the Ghost Node

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

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Configure the Ghost

Click on the Ghost node to configure it. You can modify the Ghost 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 Ghost 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 Ghost 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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Set Up the Ghost 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 Ghost, 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 Ghost and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Ghost 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 Ghost and Google Vertex AI

Ghost + Google Vertex AI + Discord bot: When a new post is published on Ghost, the content is analyzed for sentiment using Google Vertex AI. If the sentiment is negative, a notification is sent to a designated Discord channel.

Ghost + Google Vertex AI + Slack: When a new post is published on Ghost, Google Vertex AI generates a summary of the post. This summary is then shared as a message to a specified Slack channel.

Ghost and Google Vertex AI integration alternatives

About Ghost

Integrate Ghost with Latenode to automate content workflows. Automatically publish new posts, manage member data, or trigger email campaigns. Use Latenode's visual editor and flexible nodes to build custom workflows around Ghost, bypassing manual tasks and scaling content operations without code. Connect Ghost to other apps to streamline your publishing process.

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 Ghost and Google Vertex AI

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

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

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

Can I automatically generate Ghost blog posts using AI?

Yes, you can! Latenode enables automated content creation by connecting Ghost to Google Vertex AI. Generate engaging content and schedule it for publication, saving time and boosting productivity.

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

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

  • Automatically generating blog post summaries for email newsletters.
  • Creating personalized content recommendations for Ghost members.
  • Analyzing reader comments to identify trending topics.
  • Using AI to optimize blog post titles for better SEO performance.
  • Generating social media posts to promote new Ghost content.

Can I use custom JavaScript functions with my Ghost data in Latenode?

Yes! Latenode allows integrating custom JavaScript code to transform data from Ghost before sending it to Google Vertex AI, or vice versa, offering unparalleled flexibility.

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

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

  • Large volumes of data processing via Google Vertex AI may incur costs.
  • The quality of AI-generated content depends on prompt engineering.
  • Real-time content generation relies on stable API connections.

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