AI Foundation Series: The Day I Realised Everything is a Number
Follow my 8-hour/week journey into AI. In this post, I use Google Colab to discover why AI sees the world as vectors and math, not just “magic.”
AI Foundation Series: The Ghost in the Data: My First 17,000 Houses
Moving from single vectors to big data. Learn how to use Python’s Pandas library to find outliers and visualize 17,000 homes in Google Colab.
Advanced RAG: How Real AI Systems Are Actually Built
Learn advanced RAG architecture with hybrid search, re-ranking, and context control to build accurate, scalable AI systems beyond basic demos.
RAG: The Skill That Turns AI Into Something Actually Useful
Learn how RAG (Retrieval-Augmented Generation) makes AI more accurate by using real data instead of guessing. A practical guide for beginners.
How to Save Tokens When Prompting AI: Best Practices for Smarter, Cheaper Conversations with Claude
Every AI prompt costs tokens and tokens cost money. Learn 10 proven techniques to cut your cloud AI bill by up to 90% without sacrificing output quality.
What even is Claude? (And why is everyone suddenly talking about it?)
Everyone’s talking about Claude. Here’s what it actually is, who made it, how it compares to ChatGPT, and how to try it in 5 minutes.
The AI Generalist: Why Curiosity is Your Most Valuable Tech Stack in 2026
You don’t need a CS degree to lead this shift just a systems mindset and the curiosity to stop chatting with AI and start building with it.
Generative AI vs Agentic AI — The Moment AI Stops Answering and Starts Acting
Generative AI responds. Agentic AI acts. This blog explores the shift from prompts to autonomous systems—and why this change will redefine how we build, work, and grow in the AI era.
The Math of Machines – A Non-Scary Guide to AI’s Inner GPS
Whenever I mention “Linear Algebra” or “Calculus” in a conversation about AI, I usually see people’s eyes glaze over. It
The Intuition of Intelligence: Why AI Isn’t Magic
AI isn’t magic—it’s pattern recognition at an unimaginable scale. This blog breaks down how systems like ChatGPT work using simple analogies, helping you see intelligence not as mystery, but as math, data, and learned patterns.