How to Build AI Agents in Plain English (Cursor Template)

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AI Summary

Video Summary: Building Reliable AI Agents with Cursor Composer

Introduction

• The video demonstrates how to build AI agents without coding using a Cursor Composer template.
• The template includes features, key concepts, examples, and best practices.
• The process involves interacting with Cursor, which automates the development of AI agents.

Building an AI Agency Example

• The presenter shows how to instruct Cursor to build an AI agency with a CEO and a marketing agent.
• The marketing agent is capable of sending emails and qualifying leads using APIs.
• Initially, Cursor struggles with API documentation, but after including the documentation in the prompt, it successfully creates the agency.
• The created tools (send email tool and qualify lead tool) work without any modifications.
• A small adjustment is made to the agency.py file, and the agency is tested live using a Gradio interface.

Creating a Content Marketing Agency

• The presenter outlines the creation of a content marketing agency with three agents:
  • Content Manager: Generates scripts and content ideas.
  • Trend Analyzer: Fetches news, extracts keywords, and analyzes them.
  • YouTube Analyzer: Analyzes channel demographics, video performance, and competitor sentiment.

Setup and Development Process

• The presenter walks through setting up a repository, cloning it, and downloading Cursor.
• A Cursor rules file from the agency’s GitHub is used to provide context to Cursor.
• A virtual environment is created for Python development.
• The presenter emphasizes the importance of understanding AI tools to stand out as an engineer.

Using Cursor Features

• Several Cursor features are explained:
  • Chat window for discussing current file context.
  • Edit window for modifying code inline.
  • Composer for creating and modifying multiple files simultaneously.

Building the Content Agency

• The presenter describes the process of creating the content agency in detail.
• Each agent and its tools are outlined, with specific APIs and documentation included.
• The presenter demonstrates how to adjust tools, agents, and instructions iteratively.
• The importance of testing and iterating on the AI agent team is highlighted.

Final Testing and Iteration

• The agency is tested with a prompt to generate content ideas.
• The agents successfully perform their tasks, such as analyzing trends and evaluating sentiment.
• The presenter suggests further improvements and iterations for the agency.

Integration and Community

• The presenter suggests integrating the agency into daily tools like Slack for added value.
• A SAS solution based on the framework is mentioned, which will allow importing agents.
• The community offers courses, Q&A calls, and integration options.

Conclusion

• The video concludes with an encouragement to subscribe for more content.

GitHub Repository

• The Cursor rules file can be found on the agency’s GitHub: agency swarm GitHub

Additional Tips

• The presenter advises on handling API rate limits by searching for alternative APIs.
• Tips for becoming an AI power user include learning shortcuts and understanding AI tools deeply.

Note

• No specific CLI commands, URLs (other than GitHub), or detailed instructions were provided in the transcript summary.