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Sync LlamaCloud insights to Miro boards automatically, creating collaborative visual summaries. Latenode's visual editor simplifies complex AI workflows and allows for custom logic using JavaScript, all while keeping costs low with execution-based pricing.
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Create a New Scenario to Connect LlamaCloud and Miro
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 LlamaCloud, triggered by another scenario, or executed manually (for testing purposes). In most cases, LlamaCloud or Miro will be your first step. To do this, click "Choose an app," find LlamaCloud or Miro, and select the appropriate trigger to start the scenario.
Add the LlamaCloud Node
Select the LlamaCloud node from the app selection panel on the right.
LlamaCloud
Configure the LlamaCloud
Click on the LlamaCloud node to configure it. You can modify the LlamaCloud URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Miro Node
Next, click the plus (+) icon on the LlamaCloud node, select Miro from the list of available apps, and choose the action you need from the list of nodes within Miro.
LlamaCloud
โ
Miro
Authenticate Miro
Now, click the Miro node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Miro settings. Authentication allows you to use Miro through Latenode.
Configure the LlamaCloud and Miro 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 LlamaCloud and Miro Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
โ
Miro
Trigger on Webhook
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LlamaCloud
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring LlamaCloud, Miro, 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 LlamaCloud and Miro integration works as expected. Depending on your setup, data should flow between LlamaCloud and Miro (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Miro + LlamaCloud + Slack: When a new board is created in Miro, its content is sent to LlamaCloud to extract data. The extracted data is then sent to a designated Slack channel as a message.
Miro + LlamaCloud + Google docs: When a new board is created in Miro, its content is parsed by LlamaCloud. The parsed document data is then appended to a new Google Docs document.
About LlamaCloud
Use LlamaCloud inside Latenode to streamline AI model deployment. Build workflows that automate prompt engineering, A/B testing, and model evaluation. Connect data sources, trigger LlamaCloud jobs, and manage results via webhooks or REST. Scale AI tasks and track performance visually without complex code.
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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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How can I connect my LlamaCloud account to Miro using Latenode?
To connect your LlamaCloud account to Miro on Latenode, follow these steps:
Can I automatically update Miro boards with LlamaCloud insights?
Yes, you can! Latenode's visual editor makes it easy to push LlamaCloud analysis directly to Miro, keeping your team aligned with the latest AI-driven insights.
What types of tasks can I perform by integrating LlamaCloud with Miro?
Integrating LlamaCloud with Miro allows you to perform various tasks, including:
How do I handle LlamaCloud API rate limits within a Latenode workflow?
Latenode allows you to implement error handling and retry logic with delays, managing LlamaCloud rate limits effectively within your automation flows.
Are there any limitations to the LlamaCloud and Miro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: