How to connect OpenAI Responses and SendPulse
Create a New Scenario to Connect OpenAI Responses and SendPulse
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 SendPulse will be your first step. To do this, click "Choose an app," find OpenAI Responses or SendPulse, 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 SendPulse Node
Next, click the plus (+) icon on the OpenAI Responses node, select SendPulse from the list of available apps, and choose the action you need from the list of nodes within SendPulse.

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SendPulse

Authenticate SendPulse
Now, click the SendPulse node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your SendPulse settings. Authentication allows you to use SendPulse through Latenode.
Configure the OpenAI Responses and SendPulse 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 SendPulse 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.

JavaScript
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AI Anthropic Claude 3
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SendPulse
Trigger on Webhook
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OpenAI Responses
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring OpenAI Responses, SendPulse, 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 SendPulse integration works as expected. Depending on your setup, data should flow between OpenAI Responses and SendPulse (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 SendPulse
OpenAI Responses + SendPulse + Google Sheets: Analyze responses from OpenAI, add new contacts to SendPulse mailing list, and log the interaction data, including the OpenAI response and contact details, in a Google Sheet for future reference.
SendPulse + OpenAI Responses + Slack: When a new subscriber event occurs in SendPulse, use OpenAI to generate a personalized welcome message and then send this message to a designated Slack channel to notify the team.
OpenAI Responses and SendPulse 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 SendPulse
Use SendPulse in Latenode for automated email & SMS marketing. Trigger campaigns based on real-time events, segment contacts dynamically, and personalize messages using data from any app. Automate list cleaning and optimize send times in response to user behavior. Connect SendPulse to any data source for smarter, event-driven communication workflows.
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FAQ OpenAI Responses and SendPulse
How can I connect my OpenAI Responses account to SendPulse using Latenode?
To connect your OpenAI Responses account to SendPulse 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 SendPulse accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically send personalized AI-generated emails?
Yes, you can! Latenode allows you to trigger SendPulse emails with OpenAI Responses content, creating hyper-personalized campaigns. Benefit from the combined power of AI and targeted marketing.
What types of tasks can I perform by integrating OpenAI Responses with SendPulse?
Integrating OpenAI Responses with SendPulse allows you to perform various tasks, including:
- Generate email subject lines using AI and send via SendPulse.
- Create personalized email content based on user data from SendPulse.
- Automatically update SendPulse contact lists based on AI analysis.
- Send SMS messages with AI-summarized information via SendPulse.
- Trigger email sequences in SendPulse based on OpenAI Responses analysis.
Can I use JavaScript code to manipulate data from OpenAI Responses?
Yes! Latenode allows you to use JavaScript to preprocess data from OpenAI Responses before sending it to SendPulse, offering unmatched flexibility.
Are there any limitations to the OpenAI Responses and SendPulse integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex prompt engineering within OpenAI Responses may require more iterations.
- High volumes of requests might require optimization for cost management.
- The quality of outputs depends on the quality of OpenAI Responses prompts.