SUMM

Build the next Billion $ Agent 🚀

Introduction to Vertical Agents 00:03

  • The video discusses building a "cursor for X" software, a type of vertical agent for specific tasks.
  • Vertical AI software is expected to capture significant value by 2025, with AI coding being the first successful use case.
  • There is potential for various vertical agents, such as those for spreadsheets, design, and video editing.

Building a Cursor for X 01:04

  • To create a cursor software, an agent needs access to various tools for completing tasks.
  • A specialized playground or canvas is required for users to track and review the agent's work.
  • Examples of existing tools include cursor for coding and UI generation platforms like Google Stitchy.

Free Resource for Solopreneurs 02:17

  • A free resource, "How to Build an AI Startup in Three Hours with Less than $500" by Greg Eisenberg, is recommended for aspiring solopreneurs.
  • This resource provides a five-step framework for using AI agents to build products quickly and effectively.

Overview of Vercel AI SDK 03:31

  • The tutorial focuses on using Vercel AI SDK to build the agentic system.
  • Vercel AI SDK is an open-source package that simplifies building AI software, including backend and frontend components.
  • It allows connection to various large language model providers without changing the codebase logic.

Setting Up the Project 05:09

  • Instructions are given on setting up a TypeScript project and integrating Vercel AI SDK.
  • The video details the process of generating and streaming text output using the SDK.

Advanced Features and Streaming 07:24

  • The SDK supports structured output and streaming, which enhances user experience.
  • The video demonstrates how to build an agent that can execute multiple steps and generate results dynamically.

Building a Chat Interface 09:49

  • Steps to create a chat interface using Next.js and Vercel AI SDK UI are outlined.
  • The chat agent can process user input, perform tasks, and return results in real time.

Enhancing User Experience 12:21

  • The tutorial covers creating an API endpoint for the chat functionality and validating input data.
  • A simple application structure is demonstrated to show how to manage user interactions.

Streaming Results Back to Frontend 15:01

  • Techniques for merging multiple data streams and pushing custom data to the frontend are discussed.
  • The video provides a demonstration of generating a PRD (Product Requirements Document) and streaming results.

Creating a Playground for Collaboration 17:22

  • A UI component for a playground is introduced, allowing users to review and collaborate with the agent.
  • The importance of state management for maintaining a responsive user experience is emphasized.

Final Integration and Structure 18:45

  • The video explains how to structure the application for better maintainability and user interaction.
  • A split view layout is created, combining the chat interface and the content display for generated documents.

Conclusion and Further Learning 21:07

  • The video concludes by inviting viewers to join the AI Builder Club for deeper learning about building AI applications.
  • Future content will include connecting to a backend and setting up user authentication.
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