How to connect OpenAI Responses and Sendy
Create a New Scenario to Connect OpenAI Responses and Sendy
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 Responses, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Responses or Sendy will be your first step. To do this, click "Choose an app," find OpenAI Responses or Sendy, 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 Sendy Node
Next, click the plus (+) icon on the OpenAI Responses node, select Sendy from the list of available apps, and choose the action you need from the list of nodes within Sendy.

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Sendy

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

JavaScript
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AI Anthropic Claude 3
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Sendy
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, Sendy, 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 Responses and Sendy integration works as expected. Depending on your setup, data should flow between OpenAI Responses and Sendy (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 Sendy
OpenAI Responses + Sendy + Google Sheets: When a response is received from OpenAI, add the respondent as a subscriber to a Sendy list, then log the response and subscriber information into a Google Sheet for record-keeping and analysis.
Sendy + OpenAI Responses + Slack: When a new subscriber is added to Sendy, use OpenAI to generate a personalized welcome message. Post this welcome message to a designated Slack channel to engage new subscribers.
OpenAI Responses and Sendy 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 – all without code.
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About Sendy
Use Sendy in Latenode to automate email campaigns without complex coding. Trigger campaigns based on events in other apps (CRM, e-commerce). Latenode lets you process data, filter recipients, and personalize emails with JavaScript or AI nodes before sending via Sendy. Scale outreach efficiently and track results within your workflows.
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See how Latenode works
FAQ OpenAI Responses and Sendy
How can I connect my OpenAI Responses account to Sendy using Latenode?
To connect your OpenAI Responses account to Sendy 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 Sendy accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically personalize email campaigns with AI content?
Yes, easily! Latenode enables AI-driven personalization by using OpenAI Responses to generate unique content for each Sendy subscriber, boosting engagement and conversions.
What types of tasks can I perform by integrating OpenAI Responses with Sendy?
Integrating OpenAI Responses with Sendy allows you to perform various tasks, including:
- Generate personalized email subject lines with OpenAI for Sendy campaigns.
- Create dynamic welcome email content using AI-generated text in Sendy.
- Automatically translate email content to different languages in Sendy.
- Segment Sendy subscribers based on AI-analyzed responses to surveys.
- Summarize customer feedback from OpenAI and send reports via Sendy.
How does Latenode handle OpenAI Responses authentication securely?
Latenode uses secure OAuth to authenticate OpenAI Responses, ensuring your credentials are encrypted and never stored directly in Latenode.
Are there any limitations to the OpenAI Responses and Sendy integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by OpenAI Responses and Sendy APIs may affect performance.
- Complex prompt engineering in OpenAI Responses may require JavaScript knowledge.
- Large-scale data processing could impact workflow execution time.