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Automatically summarize Lark messages or extract key insights using Google AI, then tailor responses with JavaScript code, ensuring accurate, scalable team notifications. Latenode lets you bring your own AI keys and pay only for execution time.
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Lark
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Create a New Scenario to Connect Lark and Google AI
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Lark, triggered by another scenario, or executed manually (for testing purposes). In most cases, Lark or Google AI will be your first step. To do this, click "Choose an app," find Lark or Google AI, and select the appropriate trigger to start the scenario.
Add the Lark Node
Select the Lark node from the app selection panel on the right.
Lark
Add the Google AI Node
Next, click the plus (+) icon on the Lark node, select Google AI from the list of available apps, and choose the action you need from the list of nodes within Google AI.
Lark
โ
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 Lark 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 Lark 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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Lark
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Lark, Google AI, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Lark and Google AI integration works as expected. Depending on your setup, data should flow between Lark and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Lark + Google AI + Notion: When a new message is posted in a Lark group chat, the message content is sent to Google AI to generate a summary. The generated summary is then saved as a new page in a specified Notion database for team review.
Lark + Google AI + Jira: When a new message is posted in a Lark group chat, the message content is sent to Google AI to analyze customer feedback. If Google AI identifies a bug, a new Jira ticket is created with the details from the Lark message and the AI analysis.
About Lark
Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.
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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 Lark account to Google AI using Latenode?
To connect your Lark account to Google AI on Latenode, follow these steps:
Can I automatically summarize Lark messages using Google AI?
Yes, you can! Latenode's visual editor makes it easy to trigger Google AI to summarize new Lark messages, keeping teams informed without reading every detail.Save time and boost productivity.
What types of tasks can I perform by integrating Lark with Google AI?
Integrating Lark with Google AI allows you to perform various tasks, including:
How can I use JavaScript to extend Lark integrations in Latenode?
Use JavaScript blocks to parse complex data or add custom logic. Latenode's low-code environment adapts to any workflow complexity.
Are there any limitations to the Lark and Google AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: