Google AI and Moxie Integration

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Google AI

Moxie

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Moxie

Create a New Scenario to Connect Google AI and Moxie

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

Add the Google AI Node

Select the Google AI node from the app selection panel on the right.

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Configure the Google AI

Click on the Google AI node to configure it. You can modify the Google AI 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 Moxie Node

Next, click the plus (+) icon on the Google AI node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.

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Authenticate Moxie

Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.

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Configure the Google AI and Moxie 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 Google AI and Moxie 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 Google AI, Moxie, 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 AI and Moxie integration works as expected. Depending on your setup, data should flow between Google AI and Moxie (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AI and Moxie

Moxie + Google AI + Slack: When a new call is recorded in Moxie, the transcript is sent to Google AI for summarization. The summary is then posted to a designated Slack channel for review.

Moxie + Google AI + Zendesk: After a call is completed in Moxie, Google AI analyzes the transcript to determine customer sentiment. If negative sentiment is detected, a new ticket is automatically created in Zendesk.

Google AI and Moxie integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

About Moxie

Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.

See how Latenode works

FAQ Google AI and Moxie

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

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

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

Can I automatically update Moxie tickets with Google AI insights?

Yes! Latenode lets you use Google AI to analyze customer conversations and automatically update Moxie tickets. Improve response times and agent efficiency with AI-powered insights.

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

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

  • Automatically categorize new Moxie tickets using Google AI's natural language processing.
  • Summarize lengthy customer interactions within Moxie using Google AI.
  • Detect sentiment in customer feedback and flag urgent issues in Moxie.
  • Generate suggested responses for Moxie agents using Google AI.
  • Translate customer messages in real-time via Google AI for Moxie agents.

How can I use Google AI's language models within Latenode workflows?

Easily! Use the Google AI node to access models, then connect it to other apps. Latenode's visual editor and code blocks provide flexibility.

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

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

  • Google AI usage is subject to Google's API rate limits.
  • Moxie's API has limits on the number of requests per minute.
  • Complex workflows involving large data volumes may require optimized configurations.

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