Connect Ganttic and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Ganttic
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Enable Integrations or automations with these events of Ganttic and GPT-trainer
Enable Integrations or automations with these events of Ganttic and GPT-trainer
Actions
List All Users
Retrieves the list of all users
Create Task
Creates a new task.
Create Resource
Creates a new resource.
Create Project
Creates a new project.
Get All Projects
Gets a list of your projects, with an option to filter by project title.
List All Resources
Retrieves the list of all resources
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Frequently Asked Questions
To start, connect both your Ganttic and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Ganttic triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Ganttic 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 Ganttic 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 Ganttic 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 Ganttic
Ganttic is an online resource planning software, that you can use for managing project portfolios while planning resources with maximum efficiency. You can create clear and comprehensive visual plans that give you an instant overview of all your resources and projects.
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.
Learn More
