Connect Signaturely and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Signaturely and GPT-trainer
Enable Integrations or automations with these events of Signaturely and GPT-trainer
Actions
Create Folder
This action creates a new folder.
Search Document
Search your documents.
Rename Document
This action rename the document.
Delete Document
This action deletes the document.
Create signing request
Create a signature request from a selected template with a title and optional message; supports test mode.
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
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Frequently Asked Questions
To start, connect both your Signaturely and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Signaturely triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Signaturely 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 Signaturely 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 Signaturely 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 Signaturely
Signaturely offers an integration that enables you to create documents from templates or trigger actions such as sending or completing documents automatically. Streamline your workflow and save time with Signaturely's efficient integration.
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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