Two real AI failures, two domain safeguard designs, and the responsible-AI thinking that connects them. My write-up from a mini project on agent risk, ethics, and governance.
Our first build mirrored the org chart. It was the wrong shape. Here's how five recognised agentic design patterns, scored against the same criteria, led to a hybrid recommendation — and what changes in v3.
How I built LumenAI — a local-first, native macOS RSS reader with full-text search, offline reading, and pluggable AI summaries — from an empty folder to a signed DMG in about an hour, with Claude writing every line.
What ChatGPT and Claude actually are under the hood — a plain-English explainer of next-token prediction, softmax, attention, and why hallucinations are inevitable. Beginner to intermediate, with interactive animations.
The second chapter of Aether: how a local-first team of IT architecture agents grew from a clean idea into a 13-agent, web-first, self-escalating system — and every bug that shaped it along the way.
A visual breakdown of three RAG architectures — when each one wins, where it breaks down, and how binary quantization can shrink the vector index by 32× without changing the architecture you picked.
An idea piece: how Digital Workplace Operations teams are structured today, where agentic AI is heading, and how a five-agent swarm can replace the follow-the-sun model — same SLA, 24×7 coverage, multilingual by default, with a hash-chained audit trail any G500 internal-audit team can verify in one click.
Jevons Paradox explains why making AI tools better and cheaper didn't reduce enterprise spend — it exploded it. Microsoft, Uber, and the harsh reality of token economics.
A domain-specific Retrieval-Augmented Generation assistant built with LangChain, OpenAI embeddings and FAISS that answers questions about the GitHub REST API strictly from indexed public documentation. Week 15 graded mini-project of the IITM Pravartak Professional Certificate Programme in Agentic AI and Applications.
