Voiceflow Sage-AI assistant for conversation design

Example

A user wants to create a conversational flow where the assistant remembers previous user inputs to provide context-aware responses.

Scenario

Voiceflow Sage would guide the user through setting up variables and conditions to manage dialogue states, enabling the assistant to recall information from previous interactions. This can be useful in customer service bots where continuity and context are crucial for providing accurate support.

Example

A developer is looking to integrate a third-party NLP engine with Voiceflow to enhance natural language understanding for a specific use case.

Scenario

Voiceflow Sage can provide detailed instructions on how to connect external NLP services via APIs, including how to format data, handle API calls, and manage the integration within Voiceflow’s platform. This is particularly useful for developers aiming to customize the language understanding capabilities of their assistant beyond what is offered by default.

Example

A business wants to create an assistant that works seamlessly across both voice and text channels to ensure a consistent user experience.

Scenario

Voiceflow Sage would offer guidance on designing multi-modal conversational flows, ensuring that the assistant’s behavior and responses are optimized for each channel. This can involve setting up voice-specific or text-specific responses and handling channel-specific user inputs effectively.