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

Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.


Google Cloud Text-To-Speech

Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the AI Agent Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select AI Agent from the list of available apps, and choose the action you need from the list of nodes within AI Agent.


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Authenticate AI Agent
Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.
Configure the Google Cloud Text-To-Speech and AI Agent 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 Cloud Text-To-Speech and AI Agent 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, AI Agent, 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 Cloud Text-To-Speech and AI Agent integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and AI Agent (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Text-To-Speech and AI Agent
Google Docs + Google Cloud Text-To-Speech + Telegram: When a new document is created in Google Docs, its content is converted to speech using Google Cloud Text-To-Speech, and the resulting audio file is sent to a Telegram chat.
Telegram + AI Agent + Google Cloud Text-To-Speech: When a new message is received in Telegram, the AI Agent generates a response, which is then converted to speech using Google Cloud Text-To-Speech, and finally sent back to the Telegram chat as a voice message.
Google Cloud Text-To-Speech and AI Agent integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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See how Latenode works
FAQ Google Cloud Text-To-Speech and AI Agent
How can I connect my Google Cloud Text-To-Speech account to AI Agent using Latenode?
To connect your Google Cloud Text-To-Speech account to AI Agent on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and AI Agent accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate dynamic voice responses from AI prompts?
Yes, you can! Latenode allows you to feed AI Agent output directly into Google Cloud Text-To-Speech, automating personalized audio content creation and delivery, all visually.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with AI Agent?
Integrating Google Cloud Text-To-Speech with AI Agent allows you to perform various tasks, including:
- Automatically create audio versions of AI-generated articles or blog posts.
- Build interactive voice applications using AI-driven dialogue management.
- Generate personalized voice messages based on AI-analyzed customer data.
- Automate voice responses in customer service workflows via AI insights.
- Develop accessibility tools to convert AI-generated text into spoken audio.
Can I control voice parameters in Google Cloud Text-To-Speech?
Yes, Latenode lets you adjust voice, pitch, speed, and other settings within the Google Cloud Text-To-Speech node using expressions or JavaScript code.
Are there any limitations to the Google Cloud Text-To-Speech and AI Agent integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Text-To-Speech usage is subject to Google's pricing and API limits.
- AI Agent's performance depends on the quality and complexity of the prompt.
- Latency may occur in complex workflows involving extensive data processing.