Connect Google Forms and AI/ML API to Build Intelligent Automations
Ready to use Google Forms and AI/ML API automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Form Response
Triggers when a new response is submitted in a Google Form.
Do thisActions
Action is the task that follows automatically within your Google Forms integrations.
List Form Response
List form response by form id.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Step by step guides to integrate Google Forms and AI/ML API
Frequently Asked Questions
To start, connect both your Google Forms and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Forms triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Google Forms data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Google Forms and AI/ML API typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Forms and AI/ML API. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Google Forms
Google Forms is a versatile tool that allows users to create surveys, quizzes, and forms for data collection and analysis. It integrates seamlessly with other Google Workspace applications, making it easy to gather and organize information.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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