Connect contractor plus and GPT-trainer to Build Intelligent Automations
Ready to use contractor plus and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
new lead is created
runs when new lead is created
new client is added
runs when new client is added
new invoice is created
runs when new invoice is created
Do thisActions
Action is the task that follows automatically within your contractor plus integrations.
Create lead
Create a new lead to capture a potential client.
Create expense
Create an expense in Contractor+.
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
Create URL Source
Creates a URL source for a chatbot specified by chatbot uuid.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your contractor plus and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in contractor plus triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how contractor plus data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between contractor plus and GPT-trainer 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 contractor plus and GPT-trainer. 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 contractor plus
Contractor+ facilitates contractors relationships with their Clients, REI’s & Property Managers. Scheduling, Estimating, Invoicing & more.
Learn MoreAbout GPT-trainer
GPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
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