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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Milestone
Triggers when a new milestone is created.
New Person
Triggers when a new milestone is person.
New Phase
Triggers when a new phase is created.
New Project
Triggers when a new project is created.
New Project Task
Triggers when a new project task is created.
Updated Project Task
Triggers when a project task is modified.
Do thisActions
Action is the task that follows automatically within your Float integrations.
Create Client
creates a new client.
List All Clients
Retrieves the list of all clients
List All Department
Retrieves the list of all department.
List All Milestones
Retrieves the list of all milestone.
List All Person
List of all person
List all Phases
Get all Phases.
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Frequently Asked Questions
To start, connect both your Float and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Float triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Float 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 Float 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 Float 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 Float
Float is the fast and friendly resource scheduling app. Keep track of who's working on what and when.
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About 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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