Trulience

Teams use Trulience by turning an existing conversational model into an on-screen assistant that speaks and reacts in real time. A typical setup starts by picking or crafting a character, selecting a voice and language, then connecting the avatar to your chosen LLM so the same answers your chatbot would send can be delivered through a visual, spoken interaction.

In customer support, the avatar can greet visitors, ask a few clarifying questions, and route issues to the right knowledge source or handoff flow. For onboarding, it can guide new users through key steps inside a product, explain features contextually, and respond to follow-up questions without forcing people to search documentation. Sales and marketing teams can use the character to qualify leads, explain offerings, and collect contact details while maintaining a consistent brand tone.

Deployment usually happens where users already are. Many teams embed the avatar into a website or web app with a small snippet, or add it to mobile experiences via an SDK. After launch, workflows often include updating prompts and integrations, switching voices for different regions, and iterating on the character’s behavior based on conversation logs and user feedback. The result is a more personal front-end for your AI stack that can handle repetitive conversations, provide guided help, and create interactive experiences without redesigning the entire interface.