Build Your AI Prompt Library in Cursor

Hosted by James Gray

274 students

What you'll learn

Create AI prompts as reusable, platform-portable files

Have prompts saved as Markdown files that work across all AI platforms and integrate seamlessly with development tools

Build a version-controlled prompt library

Own a GitHub repo that tracks and stores your local Markdown prompts with full version history and rollback capabilities

Refine prompts using AI models within Cursor

Build or improve a prompt using AI models within Cursor—access multiple models to help you refine in your editor

Why this topic matters

Your best prompts are scattered and hard to improve. Professional prompt engineers use a different workflow: Markdown files for portability, GitHub for version control, and Cursor with AI models to iteratively refine prompts. AI helps you write better AI prompts. In 45 minutes, build a prompt library using this pro workflow that makes your prompts findable, reliable, and continuously improving.

You'll learn from

James Gray

Former CIO and Microsoft veteran | AI Entrepreneur | Berkeley Haas Instructor

James Gray accelerates AI adoption globally, drawing on 30+ years leading data and AI teams as CIO, CPO, and engineering executive at enterprises and high-growth startups.

At Microsoft, he architected global data systems powering critical business decisions. He now delivers strategic consulting and hands-on learning experiences that drive results.

His Hands-on AI for Leaders course has trained hundreds of executives. As an instructor for UC Berkeley Haas Exec Ed, James helps leaders design actionable AI roadmaps for immediate implementation—bridging strategy and execution.

James holds a BS in Electrical Engineering from Union College, an MBA from Berkeley Haas, and an MS in Information and Data Science from UC Berkeley. He is a certified leadership coach through Brown University.

My Organizations