
When this happens...
New Activity
New Message
New Schedule Entry
New To-Do
New To-Do List
New Project
New Person
New Document
New Comment
To-Do Completed/Uncompleted
New Upload

Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when any activity happens in a basecamp.
Trigger when a new message is created in a basecamp.
Trigger when a new schedule entry is created in a basecamp.
Trigger when a new todo is created in a basecamp.
Triggers when a new todo list is created in a basecamp.
Triggers when a new project is created.
Action is the task that follows automatically within your Basecamp integrations.
Creates a new project.
Creates a new message in a message board.
Creates a new document in a folder.
Creates a new to-do in a to-do list.
Creates a campfire message.
Create card and add steps into it.

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To start, connect both your Basecamp and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Basecamp triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Basecamp 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 Basecamp 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 Basecamp 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.
Basecamp lets you manage your projects all on one page, is super fast, and keeps you up to date in real-time.
Learn MoreGPT 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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