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Automate Miro board analysis by connecting it to Google AI on Latenode. Extract insights using AI, customize the logic with JavaScript, and scale complex automations affordably based on execution time.
Connect Miro and Google AI in minutes with Latenode.
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Create a New Scenario to Connect Miro and Google AI
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
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 Miro, triggered by another scenario, or executed manually (for testing purposes). In most cases, Miro or Google AI will be your first step. To do this, click "Choose an app," find Miro or Google AI, and select the appropriate trigger to start the scenario.
Add the Miro Node
Select the Miro node from the app selection panel on the right.
Miro
Add the Google AI Node
Next, click the plus (+) icon on the Miro node, select Google AI from the list of available apps, and choose the action you need from the list of nodes within Google AI.
Miro
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Google AI
Authenticate Google AI
Now, click the Google AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AI settings. Authentication allows you to use Google AI through Latenode.
Configure the Miro and Google AI 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 Miro and Google AI Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google AI
Trigger on Webhook
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Miro
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Miro, Google AI, 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.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the Miro and Google AI integration works as expected. Depending on your setup, data should flow between Miro and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Miro + Google AI + Slack: When a new or updated item is added to a Miro board, its content is sent to Google AI (Gemini) to generate a summary. The generated summary is then posted to a specified Slack channel.
Miro + Google AI + Google Docs: When a new board is created in Miro, the content from the new board is sent to Google AI (Gemini) to generate a project plan. The generated project plan is then saved into a new Google Doc.
About Miro
Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.
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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.
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How can I connect my Miro account to Google AI using Latenode?
To connect your Miro account to Google AI on Latenode, follow these steps:
Can I analyze Miro board content with Google AI?
Yes! Latenode allows you to send Miro board text to Google AI for analysis, sentiment detection, and more. Automate insights and improve team collaboration effortlessly.
What types of tasks can I perform by integrating Miro with Google AI?
Integrating Miro with Google AI allows you to perform various tasks, including:
How can I automate Miro board updates with AI insights in Latenode?
Use Latenode to trigger updates to Miro boards when Google AI detects new patterns or insights from connected data sources, ensuring real-time collaboration.
Are there any limitations to the Miro and Google AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: