How does Jotform Gmail Agent automatically generate email replies that match a user's tone of voice?

Jotform Gmail Agent enables personalized reply generation by following these steps:

• Data learning phase: Analyze users' historical email content, common vocabulary and sentence structure to build tone models. On the 'Training' page, you can upload company documents or personal writing samples to assist the AI in understanding specialized terminology and expression habits.
• Real-time generation mechanism: When a new email is received, the AI generates a draft combining the context of the email (e.g., the content of the customer's request for help), preset rules (e.g., complaint handling templates), and learned tone characteristics. For example, for technical inquiry emails, it will use specialized terminology combined with step-by-step responses.
• Continuous optimization of functionality: Supports setting up scenario-specific reply logic (e.g., CTA words for sales emails) via 'global rules', and the system will record the user's modification records of the drafts to continuously optimize the output results.

In a typical application scenario, when a user receives a 'product failure report', the AI will generate a standardized response that includes a 'Thank you for your feedback' start, a step-by-step solution body, a 'If you need further help' end, and automatically matches the user's common courtesy level. The AI generates a standardized response that begins with 'Thank you for your feedback', ends with a step-by-step solution, and ends with 'If you need further help', and automatically matches the user's common politeness level.

This answer comes from the articleJotform Gmail Agent: the AI tool that automatically generates personalized Gmail repliesThe