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

Add the Google tasks Node
Select the Google tasks node from the app selection panel on the right.


Google tasks

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


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Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Google tasks and OpenAI Responses 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 Google tasks and OpenAI Responses 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 donโt 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google tasks, OpenAI Responses, 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 Google tasks and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Google tasks and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google tasks and OpenAI Responses
Google Tasks + OpenAI Responses + Slack: When a task is completed in Google Tasks, a summary of the completed task is generated using OpenAI. This summary is then sent as a message to a specified Slack channel to provide a daily progress report.
Google Calendar + OpenAI Responses + Google Tasks: When a new event is created or modified in Google Calendar, OpenAI is used to generate a list of tasks related to the meeting. These tasks are then created in Google Tasks for better task management.
Google tasks and OpenAI Responses integration alternatives

About Google tasks
Tired of manually updating task lists? Connect Google Tasks to Latenode. Automatically create, update, or close tasks based on triggers from other apps. Streamline project management and keep teams aligned by connecting tasks to your workflows, avoiding manual updates and ensuring tasks reflect real-time activity.
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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 โ all without code.
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See how Latenode works
FAQ Google tasks and OpenAI Responses
How can I connect my Google tasks account to OpenAI Responses using Latenode?
To connect your Google tasks account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google tasks and click on "Connect".
- Authenticate your Google tasks and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate task descriptions using OpenAI?
Yes, you can! Latenode lets you trigger OpenAI to create detailed descriptions for new Google tasks, enriching your task management with AI-powered content generation.
What types of tasks can I perform by integrating Google tasks with OpenAI Responses?
Integrating Google tasks with OpenAI Responses allows you to perform various tasks, including:
- Automatically summarizing long task descriptions using AI.
- Generating subtasks for complex projects using OpenAI's suggestions.
- Creating personalized task reminders with AI-generated motivational messages.
- Prioritizing tasks based on AI analysis of task descriptions and deadlines.
- Translating task details into different languages using OpenAI.
Can I use JavaScript to manipulate task data within Latenode?
Yes! Latenode allows you to use JavaScript code blocks to transform and customize data between Google tasks and OpenAI Responses, giving you ultimate control.
Are there any limitations to the Google tasks and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google tasks and OpenAI Responses APIs may affect performance.
- Complex prompt engineering for OpenAI may require some experimentation.
- Historical task data migration might need custom scripting.