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

Add the OpenAI GPT Assistants Node
Select the OpenAI GPT Assistants node from the app selection panel on the right.

OpenAI GPT Assistants
Configure the OpenAI GPT Assistants
Click on the OpenAI GPT Assistants node to configure it. You can modify the OpenAI GPT Assistants 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 OpenAI GPT Assistants node, select Miro from the list of available apps, and choose the action you need from the list of nodes within Miro.

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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 OpenAI GPT Assistants 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 OpenAI GPT Assistants and Miro 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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AI Anthropic Claude 3
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Miro
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring OpenAI GPT Assistants, Miro, 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 OpenAI GPT Assistants and Miro integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants and Miro (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI GPT Assistants and Miro
OpenAI GPT Assistants + Miro + Slack: When a new message is created for an assistant, the conversation is summarized using the assistant. The summary is then added as a new item on a specified Miro board, and a notification is sent to a Slack channel with a link to the board.
Miro + OpenAI GPT Assistants + Google Docs: When a Miro board is updated, the board content is retrieved and sent to an OpenAI GPT Assistant to be transformed into a structured document. This document is then created in Google Docs.
OpenAI GPT Assistants and Miro integration alternatives
About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
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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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FAQ OpenAI GPT Assistants and Miro
How can I connect my OpenAI GPT Assistants account to Miro using Latenode?
To connect your OpenAI GPT Assistants account to Miro on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI GPT Assistants and click on "Connect".
- Authenticate your OpenAI GPT Assistants and Miro accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically visualize assistant outputs in Miro?
Yes, you can! Latenode lets you send OpenAI GPT Assistants outputs directly to Miro boards. Visualize data, brainstorm ideas, and generate presentations automatically. Benefit from no-code ease and scale easily.
What types of tasks can I perform by integrating OpenAI GPT Assistants with Miro?
Integrating OpenAI GPT Assistants with Miro allows you to perform various tasks, including:
- Automatically generating Miro mind maps from assistant-provided outlines.
- Creating visual summaries of customer feedback analyzed by assistants.
- Building interactive training modules with assistant-generated content.
- Populating Miro boards with assistant-drafted presentation slides.
- Generating visual project plans based on assistant-defined tasks.
How secure is my OpenAI GPT Assistants data within Latenode?
Latenode employs enterprise-grade encryption and security protocols, ensuring your OpenAI GPT Assistants data is protected throughout the entire workflow process.
Are there any limitations to the OpenAI GPT Assistants and Miro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex assistant outputs may require formatting for optimal Miro display.
- Large-scale data transfers might impact performance.
- Real-time Miro updates depend on the Miro API's rate limits.