After building RAG systems for technical books, I kept asking the same question. Which chunking strategy actually retrieves better? I built a research platform to find out, with real vector search, LLM-as-judge ground truth, and proper IR metrics.
How I work through technical textbooks with an LLM as a study partner, chapter by chapter, with room for side quests and real code along the way.
Imagine AI whispering flawless code into your project, elegant and efficient. But what if that magic hides shallow understanding? My journey from sci-fi novels to real-world coding reveals how AI should amplify your skills, not replace the craft.
Imagine 1983, hammering commands into a CRT terminal, green glow burning your retinas as a sentient machine hums back. Now crank it to 2025, and I am unleashing HAL, a feral AI assistant that is half WarGames fever dream, half tech apocalypse.