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

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

OpenAI Responses
Configure the OpenAI Responses
Click on the OpenAI Responses node to configure it. You can modify the OpenAI Responses URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft To Do Node
Next, click the plus (+) icon on the OpenAI Responses node, select Microsoft To Do from the list of available apps, and choose the action you need from the list of nodes within Microsoft To Do.

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Authenticate Microsoft To Do
Now, click the Microsoft To Do node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft To Do settings. Authentication allows you to use Microsoft To Do through Latenode.
Configure the OpenAI Responses and Microsoft To Do 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 Responses and Microsoft To Do 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 donβt 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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Save and Activate the Scenario
After configuring OpenAI Responses, Microsoft To Do, 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 OpenAI Responses and Microsoft To Do integration works as expected. Depending on your setup, data should flow between OpenAI Responses and Microsoft To Do (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and Microsoft To Do
OpenAI Responses + Microsoft To Do + Slack: When a new response is received in OpenAI, it is summarized, a new task is created in Microsoft To Do, and a notification is sent to a Slack channel.
Microsoft To Do + OpenAI Responses + Gmail: When a task is completed in Microsoft To Do, OpenAI drafts a follow-up email based on the task details, and Gmail sends the draft.
OpenAI Responses and Microsoft To Do integration alternatives
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results β all without code.
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About Microsoft To Do
Automate task management by integrating Microsoft To Do with Latenode. Automatically create tasks from emails, database entries, or other apps. Sync tasks between systems, set reminders based on triggers, and manage projects visually using Latenode's low-code interface. Stop manual updates and build scalable task workflows.
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FAQ OpenAI Responses and Microsoft To Do
How can I connect my OpenAI Responses account to Microsoft To Do using Latenode?
To connect your OpenAI Responses account to Microsoft To Do on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and Microsoft To Do accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create tasks from AI-generated content?
Yes, easily! Latenode lets you parse OpenAI Responses and create tasks in Microsoft To Do. Automate your workflow and never miss an important follow-up action, with no code required.
What types of tasks can I perform by integrating OpenAI Responses with Microsoft To Do?
Integrating OpenAI Responses with Microsoft To Do allows you to perform various tasks, including:
- Create a Microsoft To Do task from a positive OpenAI Responses sentiment.
- Generate project tasks in Microsoft To Do from summarized meeting notes.
- Add follow-up reminders based on customer feedback analysis.
- Create a to-do item from parsed customer support requests.
- Log OpenAI-driven insights in Microsoft To Do for later review.
Can I use custom prompts in Latenode with OpenAI Responses?
Yes! Latenode allows you to fully customize prompts for OpenAI Responses. Tailor AI outputs to precisely match your Microsoft To Do task creation needs.
Are there any limitations to the OpenAI Responses and Microsoft To Do integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of OpenAI Responses and Microsoft To Do APIs apply.
- Complex formatting in OpenAI Responses may require parsing.
- Historical data migration needs custom workflow design.