Connect Jobber and AI/ML API to Build Intelligent Automations
Ready to use Jobber 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 Client Is Created
Runs when new client is created
Client Is Updated
Runs when client is updated
Client Is Deleted
Runs when Client Is Deleted
New Invoice Is Created
Runs when New Invoice Is Created
Invoice Updated
Runs when invoice is updated
New Job Is Created
Runs when new job is created
Do thisActions
Action is the task that follows automatically within your Jobber integrations.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Jobber and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Jobber triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Jobber 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 Jobber 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 Jobber 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 Jobber
Jobber is the command centre for home service businesses. Our easy-to-use app powers sales, operations, and customer service—all in one place.
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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