AI Assistants Overview

• Customer Memory: During conversations, Assistants create a customer profile that can be augmented, referenced, and built upon in future interactions using Twilio Segment. This allows for a more personalized and consistent customer experience.
• Tools: Assistants can interact with other systems by making API requests through interfaces that you define. This enables seamless integration with external services and databases, extending the functionality of your AI Assistant.
• Knowledge sources: Your Assistant can access and use unstructured knowledge sources, such as websites and databases, to provide additional context and answer user questions more effectively.
• Channels: Assistants can integrate with various communication channels, allowing you to deploy your Assistant where your customers are most active.
• Simulator: The Simulator is a sandbox that allows you to interact with your AI Assistant via the Twilio Console for testing, demo, and debugging purposes.
• Human feedback: You can track human feedback on Assistant responses via the Simulator and the API.
• Guardrails and Monitoring: Twilio AI Assistants include robust safeguards like prompt injection detection rules, and content moderation. These features ensure the trustworthiness and observability of each interaction, protecting both the user experience and your brand integrity.

Twilio AI Assistants are built on top of various Large Language Models (LLMs), including models from OpenAI and others, providing a powerful foundation for natural and dynamic conversations.

Explore the core features of Twilio AI Assistants in the sections that follow, or dive right in with our Quickstart Guide to build your first Assistant.

Assistants are highly configurable, enabling you to customize their behavior, personality, and functionality to align with your brand and specific use cases.

Setting up an AI Assistant involves configuring several components that define its identity:

• Name: The name you assign to your AI Assistant is for identification within the Twilio Console UI. If you want your Assistant to refer to itself by name during interactions, ensure you include it in the personality prompt.
• AI Constellation: AI Constellations define what AI models and prompt strategies your AI Assistant will use. Learn more about AI Constellations.
• Personality prompt: This prompt sets the tone, voice, and purpose of your AI Assistant. It should be concise and aligned with your brand's voice, offering a high-level overview of what the Assistant should do. You can also define rules for your Assistant in the personality prompt like: "Never talk about competitors". Avoid overly detailed instructions; instead, focus on creating a framework that guides the Assistant's interactions. Best practices include:
  • Clear and concise language to avoid ambiguity.
  • Alignment with your brand's voice and the Assistant's intended persona.
  • Prompts that encourage user engagement, such as open-ended questions or choices for further exploration.
• Customer Memory: Twilio AI Assistants can be enhanced by integrating with Twilio's Segment Profiles, making them "customer aware." This integration uses data from Twilio Segment to personalize interactions more effectively. It includes:
  • AI Personalization Engine: Leverages customer data from Segment to tailor responses and solve problems more efficiently.
  • AI Perception Engine: Captures data from conversations and updates the Segment profile, allowing the Assistant to improve over time.

• Clarity and consistency: Ensure that all configuration settings are clear and consistent with your brand's objectives.
• Data-driven personalization: Leverage Customer Memory to make your Assistant more responsive and personalized based on real-time customer data.
• Ongoing optimization: Regularly review and update your Assistant's configuration to adapt to changing customer needs and new model capabilities.