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.
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 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.
