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Automatically convert Productboard feature requests into audio summaries with AI: Text-To-Speech. Latenode's visual editor and affordable execution pricing make it easy to synthesize feedback at scale and share insights instantly with your team.
Connect Productboard and AI: Text-To-Speech in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Productboard, triggered by another scenario, or executed manually (for testing purposes). In most cases, Productboard or AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Productboard or AI: Text-To-Speech, and select the appropriate trigger to start the scenario.

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

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

Productboard
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AI: Text-To-Speech
Now, click the AI: Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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AI: Text-To-Speech
Trigger on Webhook
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Productboard
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Iterator
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Webhook response
After configuring Productboard, AI: Text-To-Speech, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Productboard and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Productboard and AI: Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Productboard + AI: Text-To-Speech + Slack: When a new feature is added to Productboard, the text is converted to speech using AI, and a message is sent to a Slack channel with the audio file for quick team updates.
Productboard + AI: Text-To-Speech + Email: When a new note (feedback) is added to Productboard, the text of the note is converted to an audio summary using AI, and the audio file is sent to stakeholders via email.
About Productboard
Sync Productboard insights into Latenode to automate product development workflows. Track feature requests, prioritize tasks, and trigger actions in other apps (like Jira or Slack) based on user feedback. Build custom reports and alerts using Latenode's visual editor, making feedback actionable across teams without manual data wrangling.
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About AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
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How can I connect my Productboard account to AI: Text-To-Speech using Latenode?
To connect your Productboard account to AI: Text-To-Speech on Latenode, follow these steps:
Can I automatically create audio summaries of new Productboard features?
Yes, you can! Latenode enables automated workflows, using AI: Text-To-Speech to convert Productboard feature descriptions into audio, improving accessibility and internal communication.
What types of tasks can I perform by integrating Productboard with AI: Text-To-Speech?
Integrating Productboard with AI: Text-To-Speech allows you to perform various tasks, including:
How does Latenode enhance Productboard data accessibility?
Latenode automates audio conversion using AI: Text-To-Speech, making Productboard data easily accessible for auditory learners and on-the-go updates.
Are there any limitations to the Productboard and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: