Adalo and OpenAI Responses Integration

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Enrich Adalo app user experiences by connecting them to OpenAI Responses for instant, AI-powered support. Customize responses with JavaScript and scale affordably on Latenode with pay-by-execution pricing. Automate personalized, scalable interactions without code.

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Adalo

OpenAI Responses

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Adalo and OpenAI Responses

Create a New Scenario to Connect Adalo and OpenAI Responses

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

Add the Adalo Node

Select the Adalo node from the app selection panel on the right.

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Adalo

Configure the Adalo

Click on the Adalo node to configure it. You can modify the Adalo URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Adalo

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Connect Adalo

Sign In

Run node once

Add the OpenAI Responses Node

Next, click the plus (+) icon on the Adalo 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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Adalo

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OpenAI Responses

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.

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Adalo

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OpenAI Responses

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Connect OpenAI Responses

Sign In

Run node once

Configure the Adalo 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.

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OpenAI Responses Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Adalo 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 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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Save and Activate the Scenario

After configuring Adalo, OpenAI Responses, 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 Adalo and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Adalo 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 Adalo and OpenAI Responses

Adalo + OpenAI Responses + Slack: When a new record is created in Adalo (e.g., user feedback), the text is sent to OpenAI Responses for summarization. The summary is then sent to a designated Slack channel.

OpenAI Responses + Adalo + Google Sheets: When OpenAI Responses sends a response as part of an Adalo app, the response data is logged to a Google Sheet for tracking and analysis.

Adalo and OpenAI Responses integration alternatives

About Adalo

Use Adalo with Latenode to automate tasks triggered by your no-code apps. Update databases, send custom notifications, or process data from Adalo forms in real-time. Latenode adds advanced logic, data transformation, and scaling beyond Adalo's limits, with flexible JavaScript coding and cost-effective execution pricing.

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.

See how Latenode works

FAQ Adalo and OpenAI Responses

How can I connect my Adalo account to OpenAI Responses using Latenode?

To connect your Adalo account to OpenAI Responses on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Adalo and click on "Connect".
  • Authenticate your Adalo and OpenAI Responses accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically analyze Adalo form responses using AI?

Yes, with Latenode! Trigger workflows from Adalo form submissions, then use OpenAI Responses to instantly analyze sentiment and categorize responses. Save time with AI-powered data processing.

What types of tasks can I perform by integrating Adalo with OpenAI Responses?

Integrating Adalo with OpenAI Responses allows you to perform various tasks, including:

  • Generating personalized welcome messages based on user data.
  • Automatically translating user feedback into multiple languages.
  • Categorizing support requests based on content and sentiment.
  • Creating AI-powered chatbots for instant customer support.
  • Summarizing user reviews to identify key trends.

How do I handle Adalo's data structure within Latenode workflows?

Latenode’s visual editor allows mapping Adalo data fields to OpenAI Responses prompts. Use JavaScript blocks for advanced transformations as needed.

Are there any limitations to the Adalo and OpenAI Responses integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require JavaScript knowledge.
  • OpenAI Responses has its own usage and rate limitations.
  • Large data volumes from Adalo may impact workflow execution time.

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