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Author’s Note I’ve been gone for long. I’ve been serving my nation (National Service) and have been using the time to relax, learn different skills and upgrading myself in different ways. Unexpectedly, I also went full-on into my other hobby… Playing...

You built a Retrieval Augmented Generation (RAG) system. It works beautifully on small documents. Answers are grounded, citations look clean, and latency is reasonable. Then someone uploads a 300 page PDF. Suddenly: Answers mix unrelated sections C...

The marketing landscape is undergoing a seismic shift. While traditional automation followed rigid "if-then" rules, the emergence of Agentic AI is introducing a new era of autonomy and reasoning. For enterprise leaders, the goal is no longer just to ...

Reasoning + Action Explained in a Simple, Practical Way When we talk about AI agents, the conversation often jumps straight to autonomy, multi-agent systems, and complex architectures. But at the core of many effective agentic systems lies a simple i...

Imagine this, You've spent months learning traditional machine learning : linear regression, decision trees, neural networks. You finally feel confident. Then your internship supervisor drops words: "LLM" ,"RAG" and "N8N" . Suddenly, you're back to s...

Accepted at SMARTCOM 2026 (to appear)Co-authored by Rutvi Arora, Kabir Mota, Madhav Gohel, Nishat Shaikh Why Long-Context LLMs Still Fail in Practice Large Language Models (LLMs) have fundamentally changed how we build conversational systems. Yet, wh...
