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.
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 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.
How I built Aether — a local-first, multi-agent AI system that runs 10 specialist IT architecture advisors on a single MacBook M5 Pro, with no cloud, no API costs, and zero data egress.
Choosing an LLM in 2026 is the least important decision in your stack. Here is the framework landscape every architect needs to navigate.
A small structured review seam beats blind automation. The case study: a two-stage Python tagger that turned 35 garden HEICs into captioned posts, with 97% acceptable output after thirty seconds of human review.
A beginner-to-intermediate field guide to the silicon powering modern AI. GPUs, TPUs, NPUs, CPUs, ASICs, FPGAs, edge chips and emerging architectures — what each is for, where you'll meet it, and how much it costs.
A walk through the two foundational mechanisms behind every modern NLP system — generative language models and similarity-based embeddings — using five hands-on exercises with Hugging Face and Gensim. Week 6 mini-project of the IITM Pravartak Professional Certificate Programme in Agentic AI.
