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.
A structured hub on how large language models use, store, and optimize memory — from the bytes that hold model weights on a GPU to how an agent remembers across sessions. Pick a topic to dive in.
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.
How a MacBook without a touchscreen led to Glide: an invisible touchscreen powered by computer vision.
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.
