The Day We Die is a tender, introspective novel about mortality, memory, and the fragile, beautiful ordinariness of everyday life, following one man through the quiet hours of a single day that asks more of him than any other. Through lyrical scenes and emotionally honest reflection, it traces how small moments—a child’s question, an unfinished conversation, a long-delayed confession—can echo louder than dramatic events, revealing what truly matters when time no longer feels infin...

We live in an age of unprecedented wealth and connectivity, yet we are suffering from an epidemic of loneliness, burnout, and existential dread. We are told we are free because we can choose from a thousand brands of toothpaste, yet we feel trapped in a life script we didn't write.What if the anxiety you feel isn’t a personal failure, but a rational response to a rigged system?In The lie we live, author Ashish Chugh delivers a quiet but devastating...

“Two weeks inside,” they said. For Arjun, a quiet office worker in a Mumbai suburb, it sounds almost like a holiday: no trains, no small talk, no pretending to laugh at the boss’s jokes. But when the city shuts its doors, and his front door clicks closed, the flat that once felt like a refuge begins to shrink. With the world outside reduced to sirens, alerts, and grainy news footage, Arjun starts to notice the things he’s been ignoring for years: a crack above the switchboard, the wall tha...

LLM Prompt Integrity: Governing the Gateway to Generative AI is a practitioner’s guide to securing the most powerful—and most fragile—part of today’s AI systems: the prompt field. In modern organisations, large language models no longer sit at the edges of workflows; they now drive legal research, financial analysis, customer support, and internal decision-making through a simple text box that quietly acts as a high‑risk API. This book argues that treating prompts as casual chat has create...

The Data Science Launchpad: A Student's Guide to Essential Tools is a structured, project-based introduction to data science designed for college students, beginners, and early-career professionals who want clarity, confidence, and practical skills.In a field crowded with fragmented tutorials and overly theoretical textbooks, this book provides a clear roadmap—from foundational thinking to career-ready application. It answers the most common beginner question, "Where d...