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

Add the AI: Minimax Node
Select the AI: Minimax node from the app selection panel on the right.

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

AI: Minimax
⚙
Delighted
Authenticate Delighted
Now, click the Delighted node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Delighted settings. Authentication allows you to use Delighted through Latenode.
Configure the AI: Minimax and Delighted 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 AI: Minimax and Delighted 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
⚙
AI Anthropic Claude 3
⚙
Delighted
Trigger on Webhook
⚙
AI: Minimax
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring AI: Minimax, Delighted, 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 AI: Minimax and Delighted integration works as expected. Depending on your setup, data should flow between AI: Minimax and Delighted (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect AI: Minimax and Delighted
Delighted + Minimax + Slack: When a new negative response is received in Delighted, Minimax generates an apology message. This message is then sent to the user via Slack.
Delighted + Minimax + Zendesk: When a new response is received in Delighted, the sentiment is analyzed by Minimax. If the sentiment is negative, a new ticket is created in Zendesk.
AI: Minimax and Delighted integration alternatives
About AI: Minimax
Automate text generation with AI: Minimax in Latenode. Build workflows that create content, answer questions, or translate languages. Integrate Minimax with your data and apps for automated reports, personalized emails, or smart chatbots. Latenode makes it easy to use AI, without coding, for scalable solutions.
Related categories
About Delighted
Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.
Related categories
See how Latenode works
FAQ AI: Minimax and Delighted
How can I connect my AI: Minimax account to Delighted using Latenode?
To connect your AI: Minimax account to Delighted on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select AI: Minimax and click on "Connect".
- Authenticate your AI: Minimax and Delighted accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize Delighted surveys with AI-generated content?
Yes, you can! Latenode’s AI integration allows you to dynamically generate personalized survey questions or feedback requests using AI: Minimax based on user data from Delighted, improving response rates.
What types of tasks can I perform by integrating AI: Minimax with Delighted?
Integrating AI: Minimax with Delighted allows you to perform various tasks, including:
- Automatically summarize Delighted feedback using AI: Minimax for quick insights.
- Generate personalized follow-up messages based on survey responses with AI: Minimax.
- Analyze sentiment of Delighted feedback using AI: Minimax to identify problem areas.
- Create custom reports of Delighted data enriched with AI: Minimax analysis.
- Trigger AI: Minimax actions based on specific Delighted survey scores.
How does Latenode handle the AI: Minimax API rate limits?
Latenode provides built-in rate limiting and error handling mechanisms to manage AI: Minimax API usage efficiently, preventing disruptions and ensuring reliable automation.
Are there any limitations to the AI: Minimax and Delighted integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI: Minimax prompts may require adjustments for optimal performance.
- Delighted API limitations may restrict the frequency of data retrieval.
- The accuracy of AI-generated content depends on the quality of input data.