SQL Server + Wisepops Integration

Use this automation to create additional insights or summaries of the Wisepops responses using OpenAI (GPT-3 & DALL·E). Storing all this information in SQL Server makes it easier for you to analyze all the data in one place.

Here's how it works:
 1. Wisepops: 1. Whenever a form is submitted, the automation will be triggered.
 2. OpenAI (GPT-3 & DALL·E): To generate better output, you can instruct OpenAI (GPT-3 & DALL·E) about what you want it to do. It could be to extract key information, summarize responses, or provide additional insights based on the data incoming from the form. So you must pass the data from Wisepops as well.
 3. SQL Server: The content generated by AI in the previous step will be used to Create row.

Use this automation to create additional insights or summaries of the Wisepops responses using ChatGPT (GPT-3.5 & GPT-4). Storing all this information in SQL Server makes it easier for you to analyze all the data in one place.

Here's how it works:
 1. Wisepops: 1. Whenever a form is submitted, the automation will be triggered.
 2. ChatGPT (GPT-3.5 & GPT-4): To generate better output, you can instruct ChatGPT (GPT-3.5 & GPT-4) about what you want it to do. It could be to extract key information, summarize responses, or provide additional insights based on the data incoming from the form. So you must pass the data from Wisepops as well.
 3. SQL Server: The content generated by AI in the previous step will be used to Create row.

Use this automation to create additional insights or summaries of the Wisepops responses using Anthropic (Claude). Storing all this information in SQL Server makes it easier for you to analyze all the data in one place.

Here's how it works:
 1. Wisepops: 1. Whenever a form is submitted, the automation will be triggered.
 2. Anthropic (Claude): To generate better output, you can instruct Anthropic (Claude) about what you want it to do. It could be to extract key information, summarize responses, or provide additional insights based on the data incoming from the form. So you must pass the data from Wisepops as well.
 3. SQL Server: The content generated by AI in the previous step will be used to Create row.

Use this automation to create additional insights or summaries of the Wisepops responses using Gemini AI. Storing all this information in SQL Server makes it easier for you to analyze all the data in one place.

Here's how it works:
 1. Wisepops: 1. Whenever a form is submitted, the automation will be triggered.
 2. Gemini AI: To generate better output, you can instruct Gemini AI about what you want it to do. It could be to extract key information, summarize responses, or provide additional insights based on the data incoming from the form. So you must pass the data from Wisepops as well.
 3. SQL Server: The content generated by AI in the previous step will be used to Create row.

This automation allows you to automate the moderation process for Wisepops submissions and update relevant records in your SQL Server based on the moderation analysis.

Here's how it works:
 1. Wisepops: Whenever a Sign up is collected, the automation will be triggered.
 2. OpenAI (GPT-3 & DALL·E): You can use AI to analyze the form submission content and check for any moderation issues such as inappropriate language or sensitive information, or policy violations. Pass the Wisepops data to AI for moderation checks.
 3. SQL Server: Based on the moderation analysis from AI, the record in your SQL Server corresponding to the email address incoming from Wisepops will be updated accordingly.