How to Use D-ID Agents (Navigating Success Pt. 2) | D-ID Academy

The script opens with a greeting and introduction to the second 'did Academy webinar for Enterprises,' focusing on the potential of 'did agents' for business growth. Ron Fredman, Head of Content and Creative Marketing at 'did,' hosts the webinar alongside Simon Caraka, an API Tech Support Engineer, and Jim McCormick, a Machine Learning Engineer. The session aims to be hands-on, covering agent creation, best practices, and addressing questions. It is part of a series, with a recording of the previous session available and an upcoming webinar scheduled for July 9th.

The script provides an overview of 'did,' a company specializing in AI video generation, founded in 2017 with a pivot to generative AI three years ago. 'did' has experienced significant growth, raising funding and expanding globally. The company offers two primary solutions: AI videos for content creation and real-time AI agents for interactive digital engagement. The webinar will delve into the technologies behind these agents, including large language models (LLM) and retrieval-augmented generation (RAG) for conversational AI.

The script outlines the process of creating and customizing AI agents using 'did' studio, starting with selecting an image that aligns with the brand and meets quality standards. It discusses the importance of choosing the right voice and language for the agent, as well as crafting instructions for the agent's behavior and responses. The process involves selecting knowledge sources, setting chat preferences, and testing the agent to ensure it meets expectations before embedding it into a website.

The script emphasizes the importance of testing AI agents to ensure they perform well and provide accurate responses. It suggests structuring knowledge sources into Q&A pairs for better interaction with the large language model. The session also covers the limitations of document uploads and strategies for optimizing knowledge sources, such as removing non-textual elements from documents to reduce file size.

The script discusses enhancing the conversational experience with AI agents by customizing chat settings, including starter questions and welcome messages. It highlights the importance of aligning the agent's appearance, voice, and responses for a coherent brand experience. The webinar demonstrates testing the agent with various questions to ensure it provides concise and helpful answers.

The script addresses how AI agents handle unknown or irrelevant questions by avoiding providing incorrect answers and staying on topic with the knowledge base. It also covers the technical process of embedding the agent into a website, including the need for a Pro plan for multiple embedded agents and the simplicity of adding the embed code to HTML.

The script includes a live demonstration of embedding an AI agent into a website and testing its functionality. It shows the agent's ability to answer questions in a branded and engaging manner, providing a superior experience compared to traditional text-based chatbots. The demonstration also includes editing the agent's prompt for improved user interaction.

The script discusses the development of a Sandbox for testing AI agents and the importance of analyzing chat sessions for business insights. It mentions the agent's pricing model, which is based on sessions, and the availability of a mechanism to export and analyze chat sessions. The webinar also teases upcoming features and encourages participants to share their experiences with AI agents.

The script concludes with closing remarks, expressing gratitude to the participants and the guest speakers. It invites the audience to join the next webinar and to share their AI agent experiences. The session highlights the importance of community engagement through channels like Discord and encourages continued learning and collaboration.