AI Agent Tutorial - Automate REAL WORLD Tasks From Scratch

Matthew Berman
24 Feb 202455:29

TLDRIn this video, the creator sets out to build a team of AI agents using Crew AI, focusing on leveraging tools for maximum efficiency. They demonstrate the process of installing Crew AI, defining agents, and setting tasks, all within the cloud-based Lightning AI IDE. The goal is to automate the summarization of AI news articles for a newsletter. Despite initial challenges with scraping website content and tool integration, the creator, with assistance from Crew AI's founder, successfully creates a custom scraping tool and demonstrates the summarization process. The video highlights the potential of cloud-based AI development and collaboration.

Takeaways

  • 🚀 The video is a tutorial on building a team with Crew AI, focusing on using tools to extract maximum value from AI agents.
  • 🛠️ The user sets up a cloud-based IDE (Lightning AI) to collaborate and code in the cloud, using Python 3.10.1.
  • 🔧 The user installs Crew AI using pip and references the documentation for guidance.
  • 🔍 The user plans to use various tools available in the edge version of Crew AI, including Lang chain and custom tools.
  • 📝 The user creates a 'scraper agent' to collect AI news links and a 'writer agent' to summarize the content.
  • 🔄 The user encounters issues with the 'website search tool' and realizes it's not suitable for scraping tasks.
  • 💡 The user seeks help from the founder of Crew AI to resolve issues with the URL passing and scraping functionality.
  • 🔧 The user creates a custom scraping tool using Python libraries like 'requests' and 'beautifulsoup4'.
  • 🔒 The user faces challenges with website scraping due to anti-scraping measures but finds a workaround using headers and user agents.
  • 📊 The user demonstrates the process of creating a custom tool and integrating it with Crew AI for specific tasks.
  • 🎥 The video showcases real-time problem-solving and collaboration in a cloud environment, highlighting the capabilities of Lightning AI.

Q & A

  • What is the main focus of the video?

    -The main focus of the video is to demonstrate how to build a team of AI agents using Crew AI, focusing on tools and their applications in a cloud-based environment.

  • Which cloud-based IDE is used in the video?

    -Lightning AI is used as the cloud-based IDE in the video.

  • What is the purpose of the 'scraper agent' in the video?

    -The purpose of the 'scraper agent' is to scrape content from websites and provide the full content to the 'writer agent' for summarization.

  • What is the role of the 'writer agent'?

    -The role of the 'writer agent' is to craft compelling short-form content or summaries based on the long-form text provided by the 'scraper agent'.

  • What is the significance of using the 'website search tool' in the video?

    -The 'website search tool' is initially thought to be used for scraping, but it is later clarified that it is actually for searching content within a website using regular expressions (rag), not for scraping.

  • What issue does the creator encounter with the 'website search tool'?

    -The creator encounters an issue where the 'website search tool' does not work as expected for scraping, leading to the need for a custom tool to be created.

  • How does the creator resolve the issue with the 'website search tool'?

    -The creator resolves the issue by creating a custom scraping tool using Python, requests, and BeautifulSoup libraries, and later refines it to mimic a browser using headers to bypass scraping blocks.

  • What is the final outcome of the video?

    -The final outcome is that the creator successfully creates a custom scraping tool, demonstrates its functionality, and obtains a summary of an article from a website.

  • What additional features does Lightning AI offer according to the video?

    -Lightning AI offers features such as loading models, fine-tuning models, and running models in the cloud to power AI agents, in addition to the cloud-based IDE functionality.

  • How does the creator plan to improve the AI agents in future videos?

    -The creator plans to make the AI agents more robust by refining the custom scraping tool and exploring the full potential of Lightning AI in future videos.

Outlines

00:00

🚀 Setting Up Crew AI with Lightning AI

The video begins with the creator setting up a project using Crew AI, a tool for building AI agents. They plan to demonstrate how to access the edge version of Crew AI, which includes native tools and the ability to build custom tools. The creator uses Lightning, a cloud-based IDE, to code and collaborate on the project. They install Crew AI and prepare to define agents and their tasks, focusing on leveraging tools for maximum value.

05:01

📄 Creating a Summarizer Agent for AI News

The creator aims to build a summarizer agent to streamline their newsletter creation process. They collect AI news links and want the agent to read and summarize each article. The video demonstrates how to define the agent's role, backstory, and tasks using Crew AI's documentation. The creator also discusses the potential for delegation between agents and sets up the first task for the summarizer agent.

10:04

🛠️ Debugging and Defining the Scraper Agent

The creator encounters an error while defining the scraper agent and seeks to resolve it. They discuss the need to import the correct tools from Crew AI and adjust the code to ensure the agent can access and scrape website content. The video shows the process of troubleshooting and correcting the code, including renaming the main file and updating the agent's tasks.

15:05

🔍 Implementing the Website Search Tool

The creator attempts to use the Website Search tool from Crew AI to scrape content but faces issues. They seek clarification on how to correctly implement the tool and discuss the limitations of the tool for their specific use case. The video includes a live interaction with the founder of Crew AI, who provides guidance on how to interpolate URLs and use the correct tool for scraping.

20:07

🔧 Custom Scraper Tool Development

After realizing the Website Search tool is not suitable for scraping, the creator decides to create a custom scraper tool. They discuss the need for a tool that can bypass website scraping blocks and consider using headers to mimic a browser request. The video shows the process of writing and testing the custom tool, including installing necessary libraries and adjusting the code to scrape content effectively.

25:08

📝 Finalizing the Summarization Process

The creator successfully scrapes the content of an article using the custom scraper tool and passes it to the summarizer agent. They discuss the limitations of the model's context length and the need to refine the scraping process to target specific content. The video concludes with the creator summarizing an article and reflecting on the potential for further development of the project.

30:09

🎥 Wrapping Up and Future Plans

The creator concludes the video by summarizing the progress made and expressing their intention to enhance the project's robustness in future videos. They thank Lightning AI for sponsoring the video and encourage viewers to check out the platform. The video ends with a call to action for likes and subscriptions.

Mindmap

Keywords

💡Crew AI

Crew AI is a platform mentioned in the video that allows users to set up teams of AI agents to accomplish tasks collaboratively. It is used in the context of building a system where agents can use tools and perform actions like summarizing web content. The video demonstrates the installation and use of Crew AI within a cloud-based integrated development environment (IDE) called Lightning.

💡Lightning AI

Lightning AI is a cloud-based IDE that is used as the primary tool for coding and collaboration in the video. It is highlighted for its features, such as real-time collaboration and automatic saving. The platform is also the sponsor of the video, and the creator uses it to build and demonstrate the functionality of Crew AI.

💡Agents

In the context of the video, agents refer to AI-driven entities within the Crew AI platform that can perform specific tasks. The video focuses on creating two types of agents: a scraper agent for web content extraction and a summarizer agent for creating short-form content. These agents work together to achieve the goal of the user, which is to summarize AI news articles.

💡Summarization

Summarization is the process of condensing a larger piece of text into a shorter, more concise version while retaining the main points. In the video, the summarizer agent's role is to take the content scraped by the scraper agent and create brief summaries of AI news articles, which is a valuable task for the user's newsletter creation process.

💡Web Scraping

Web scraping is the act of extracting data from websites, which is a crucial function of the scraper agent in the video. The agent uses tools and code to navigate and collect information from web pages, which is then passed on to the summarizer agent. The video discusses the creation of a custom scraping tool due to limitations with the provided tools.

💡Cloud IDE

A Cloud IDE, or Cloud-based Integrated Development Environment, is a web-based platform that allows developers to write, run, and manage code in the cloud rather than on a local machine. Lightning AI serves as an example of a Cloud IDE in the video, offering features like real-time collaboration and the ability to run AI models directly within the environment.

💡API Key

An API key is a unique code that allows users to access specific services or functionalities provided by an API (Application Programming Interface). In the video, the creator uses an API key to authenticate and enable the use of Crew AI's features within their application.

💡Lang Chain

Lang Chain is a tool or library mentioned in the video that provides a collection of pre-built AI models and functions. It is used in conjunction with Crew AI to enhance the capabilities of the agents, allowing them to perform tasks like searching and summarizing content more effectively.

💡Custom Tools

Custom tools refer to the ability to create and implement specific functionalities tailored to the user's needs within the Crew AI platform. In the video, the creator discusses the creation of a custom web scraping tool to overcome limitations with the existing tools provided by Crew AI.

💡Newsletter

A newsletter is a regularly distributed publication that contains information or news on a particular topic. In the video, the user's goal is to create a newsletter about AI news, and the AI agents are set up to help automate the process of collecting and summarizing content for this newsletter.

💡Error Handling

Error handling is the process of dealing with issues or mistakes that occur during the execution of a program. The video includes several instances where the creator encounters errors, such as 'NameError' or 'KeyError,' and works through troubleshooting to resolve them, which is a common aspect of software development.

Highlights

The video is a tutorial on building a team with Crew AI, focusing on utilizing tools for maximum value.

The process involves setting up agents and accomplishing tasks together in a cloud-based environment.

Lightning AI is used as the IDE in the cloud, allowing for collaborative coding and automatic saving.

The video demonstrates the installation of Crew AI and the creation of agents with specific roles and goals.

The creator aims to build a system for summarizing AI news articles for a newsletter.

The video showcases the use of Lang chain tools and the custom tools available in Crew AI.

The creator encounters an error with the 'website Search tool' and seeks clarification from the founder of Crew AI.

The video highlights the importance of correctly interpolating URLs and using the right syntax for task execution.

The creator attempts to scrape a website but faces issues due to the site's anti-scraping measures.

A custom scraping tool is created using Python libraries like requests and beautiful soup.

The video emphasizes the potential of using cloud-based AI tools for content creation and summarization.

The creator successfully retrieves and summarizes content from a website, demonstrating the power of Crew AI.

The video concludes with a summary of the article and a reflection on the potential of cloud-based AI applications.

The creator expresses appreciation for the live assistance feature of Lightning AI and its collaborative capabilities.

The video serves as a practical example of how to build and troubleshoot AI applications in a cloud environment.

The creator plans to create more robust AI systems in future videos, showcasing the versatility of Crew AI.