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

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AI Summary

Video Summary

• The video demonstrates how to build reliable AI agents using a no-code approach with a tool called Cursor.
• The presenter shares a Cursor Composer template used at their AI agency to speed up development.
• The process involves sending prompts to Cursor, which then generates the necessary code and files.
• The example given is the creation of an AI agency with a CEO and a marketing agent, capable of sending emails and qualifying leads.
• The presenter shows how to include API documentation in prompts to inform Cursor about specific functionalities.
• The video walks through testing the generated tools and making minor adjustments to ensure functionality.
• A content marketing agency is then created with three agents: a content manager, a trend analyzer, and a YouTube analyzer.
• Detailed instructions are provided for setting up the environment, including creating a GitHub repository, cloning it, downloading Cursor, and setting up a Python virtual environment.
• The presenter emphasizes the importance of the initial prompt in defining the agents’ roles and processes.
• The video also covers how to use Cursor’s features, such as chat, edit, and composer, and introduces shortcuts for increased productivity.
• The presenter demonstrates how to adjust tools, agents, instructions, and iteratively test the system.
• The video concludes with the successful generation of content ideas for a YouTube channel and suggestions for further improvement and integration with other tools like Slack.

Detailed Instructions and Tips

• Create a GitHub repository for your project to track changes and collaborate with others.
• Clone the repository locally using GitHub Desktop.
• Download Cursor from cursor.com and enable usage-based billing to access the 01 preview model.
• Open a new window in Cursor and navigate to the cloned GitHub folder.
• Download the Cursor rules file from the agency’s GitHub and ensure it has no file extension.
• Create a Python virtual environment using VS Code’s command palette (Cmd + Shift + P).
• Use Cursor Composer to generate multiple files and place them in folders simultaneously.
• Adjust the generated tools and instructions as needed, ensuring to add API keys in the .env file.
• Use Cursor’s chat feature to fix errors or find alternative APIs if rate limits are encountered.
• Iterate on the AI agent team by testing and refining the system.
• Consider integrating the AI agents into daily communication channels like Slack for added value.

URLs and Commands

• GitHub repository creation and cloning process.
• Cursor download and settings: cursor.com
• Python virtual environment setup in VS Code.
• No specific CLI commands or URLs for API documentation were provided in the text.