OnDevice.ai is a private, local-first AI workspace — chat, projects, files and deterministic PPTX/XLSX/DOCX generation, running on your own hardware. The architecture, the design bet behind it, and an honest comparison with Claude and ChatGPT.
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.
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.
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.
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.
The 2017 paper that killed RNNs, invented the Transformer, and launched the modern AI era — explained for beginners and intermediates with 11 original manga panels.
