Welcome to Episode 26 in Prolego’s Generative AI series! This is the fourth in our Step-by-Step mini-series where I show you how to build your first generative AI product from start to finish.  In this episode, I reveal the GroundCrew MVP that we've been building throughout this series. GroundCrew uses LLMs to understand and interact with our codebase. I share what we learned, and how we instantly improved it.

What’s Inside This Episode?

• Ground Crew in Action: Watch how it effortlessly answers complex questions about our codebase, like calculating costs for GPT-4 API queries.
• Real-Time Problem Solving: Discover how Ground Crew explains concepts like 'ReAct agents' in simple terms, saving hours of Googling and developer inquiries.
• Overcoming Challenges: Learn from our firsthand experience how we rapidly improved Ground Crew's MVP, shifting its capabilities from just understanding code to also assisting in operating it.

This episode is not just a demonstration; it's a testament to the power and agility of AI-driven development. Witness how we transformed Ground Crew within just 48 hours, and how it can no interpret and respond to more nuanced user queries with astounding accuracy.