Follow along with the project by going here: https://www.parsity.io/5-day-ai-advisory-board
In this episode, I walk you through a side project that, if you actually build it, will put you ahead of roughly 90–95% of software developers right now.
Most developers are using AI tools. Very few are actually building with them.
So instead of talking about it, we build something real.
The project is an AI advisory board — a system where you can ask questions like:
What would Theo Browne say about Node?
What would ThePrimeagen say about Vim?
What would Alex Hormozi say about sales?
What would I say about testing?
And instead of generic AI responses, you get answers grounded in real transcripts and real opinions.
We go step-by-step through:
Calling an LLM programmatically (Gemini API)
Setting up a backend route to handle requests
Adding system prompts and guardrails
Building a simple knowledge base
Pulling in real YouTube transcripts
Injecting data into the model at the right time (naive RAG)
This is the kind of project that forces you out of “AI user” mode and into actually building AI-powered products.
