How AI data and training content are handled in Replaiy

Replaiy uses trained AI personas to support personal sales conversations on LinkedIn. Because of that, customers often want a clearer explanation of what kind of content is used in persona training and how to think about AI-related data inside the platform.

This article explains the practical side of AI data handling in customer language.

What training content usually includes

Persona training may include inputs such as:

• Tone of voice guidance.

• Offer and positioning details.

• Target audience context.

• Conversation goals.

• Business-specific instructions used to shape output quality.

Why this matters

The quality of the persona depends heavily on the quality of the training input. At the same time, customers should be intentional about what they include. Not every piece of internal information needs to be added to a persona.

Good practices for customers

When adding training content, it is smart to:

• Use relevant business context only.

• Avoid unnecessary sensitive information.

• Keep instructions clear and focused.

• Update persona inputs when your positioning changes.

• Review whether the training setup still reflects how you want to communicate.

What customers should expect

Customers should treat persona training as business input that shapes AI output inside the workspace. That means the content should be accurate, intentional, and appropriate for the actual use case.

For formal information about AI-related terms, legal obligations, or policy language, customers should also review the AI Policy and Privacy Policy.