Google Releases AI AGENT BUILDER! 🤖 Worth The Wait?

The script begins with the announcement of Google's new agent platform and Vertex AI, an Enterprise AI platform. It highlights the Model Garden feature, which provides access to over 130 models, including versions from Anthropic and popular open models like Llama and Gemma. The speaker discusses the capabilities of the platform, such as its large context window and the ability to process various types of data, including audio and video. The introduction of Gemini 1.5 Pro in public preview is also mentioned, emphasizing its million-token context window and the potential for new use cases.

This paragraph delves into the concept of AI agents for customer service, as demonstrated by Google Cloud's offerings. It discusses how these agents can understand customer needs, recommend products, and integrate seamlessly across various channels. The speaker expresses disappointment that the agent framework is not as sophisticated as they had hoped, comparing it to customer service bots rather than fully featured AI agents. However, examples of companies using AI agents for various purposes are provided, showcasing the technology's practical applications.

The Vertex AI Agent Builder is introduced as a tool for creating powerful customer agents. The paragraph explains the three key steps involved in using the builder: creating humanlike conversations with various inputs, controlling the conversation flow with natural language instructions, and improving response quality with search capabilities. The speaker critiques the platform for its lack of sophistication compared to other AI tools and expresses confusion about how to integrate third-party APIs.

A demonstration of a customer agent is provided, showing how it can enhance the shopping experience by leveraging Gemini and Vector search. The agent is able to analyze a video to identify a specific product and provide purchasing options. While the speaker finds this impressive, they also express a desire for more innovative and future-oriented applications of the technology.

The potential for AI agents in the workplace is discussed, with a focus on how they can perform tasks and accomplish goals, essentially acting as AI employees. The paragraph describes how custom models can be connected to company and web data, and how multimodal inputs are supported. The speaker is excited about the integration of HubSpot CRM data into the agent and the ability to generate summaries and perform tasks across different languages and formats.

An example of an employee agent in action is presented, demonstrating how it can assist with tasks such as annual benefits enrollment. The agent is integrated into Google Chat and can summarize emails and videos, understand and reason across different types of content, and even generate content in multiple languages. The speaker is impressed with the agent's ability to cross-reference data and provide clear recommendations based on enterprise data.

Google Vids is introduced as a new addition to the Google Workspace app suite, designed for AI-powered video creation. The app utilizes Gemini to assist with video writing, production, and editing. A demonstration shows how easily a recap video can be created by providing a prompt and using an existing document for context. The app generates a fully animated video with stock media and music, showcasing its simplicity and effectiveness in video creation for work purposes.

The capabilities of Gemini 1.5 Pro for developers are highlighted, focusing on its ability to assist with coding tasks. The speaker discusses how the tool can reason through an entire codebase, allowing for efficient and accurate code transformations. A demonstration shows how the tool can take business requirements and a visual design to generate code changes, emphasizing the time-saving benefits and alignment with security and compliance requirements.