Shree

Eight common fears about AI set against what the technology can realistically do, drawing on Alvin Toffler's idea of Future Shock. The piece I'd point to first: it takes a subject usually written as either hype or panic and refuses both.

A structured explainer covering ANI, AGI and ASI, the four functional categories of AI systems, and what each can and cannot currently do — with the limitations and ethical risks given the same weight as the benefits.

Zero-shot, few-shot and chain-of-thought prompting explained for a non-technical reader, with worked before-and-after examples showing how a vague prompt becomes a useful one.

Where my two subjects meet. Covers how continuous glucose monitors work, the leading devices, and the practical limits — cost, insurance coverage, sensor lag — that product marketing tends to leave out.

A practical roundup of free software for email, project management, analytics, design, storage, meetings, scheduling and automation — written for owners with no budget and no IT department.

An analogy-driven explainer mapping each part of an AI system onto the human body, then deliberately showing where the comparison breaks down. Illustrated with my own infographic.

A full clinical guide to polycystic ovary syndrome, including the diagnostic criteria, long-term metabolic risks, and a comparison table separating PCOS from PCOD — two conditions that are constantly confused in Indian health coverage.

Written for the desk-job reader: how prolonged sitting affects metabolism, muscles, posture and concentration, why a daily gym session doesn't fully offset it, and the small workplace habits that do.

What each hemisphere actually does and how the corpus callosum connects them — then takes apart the "left-brained / right-brained" personality myth and explains where it came from.

Biotechnology across healthcare, agriculture, food and the environment, with careers and ethical challenges covered alongside the benefits — and a clear line drawn between what is already in routine use and what remains at the research stage.

A career guide for biotechnology graduates moving into data work: what bioinformatics is used for, which roles exist, and a six-step path from biology fundamentals to a practical project portfolio.