Connect Streamtime and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Streamtime and GPT-trainer
Enable Integrations or automations with these events of Streamtime and GPT-trainer
Actions
Create Personal ToDo
Creates a new Personal To-Do record in the system.
Create Job Comment
Adds a comment to a job.
Create Job
Creates a new Job in the system.
Create Label
Add a label to a Job,Quote,Invoice,Logged Expense,Company,Contact and User.
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.
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Frequently Asked Questions
To start, connect both your Streamtime and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Streamtime triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Streamtime 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 Streamtime 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 Streamtime 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 Streamtime
Streamtime is a project management and time tracking tool designed for creative teams. It helps streamline workflows, manage tasks, and track time efficiently, making it ideal for agencies and creative professionals.
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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