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.
Fed up with ad-infested download sites, I built a clean local tool that downloads TikTok, Instagram, and X videos without watermarks. Here's how the provider chain, proxy download, and caching work — conceptually.
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.
Choosing an LLM in 2026 is the least important decision in your stack. Here is the framework landscape every architect needs to navigate.
How I got fed up with macOS native screenshot chaos, missed Greenshot from my Windows days, and built a lightweight menu bar screenshot app using Swift and Claude.
How a large AI model teaches a small one everything it knows — and why that small model sometimes ends up smarter. A beginner-to-intermediate guide.
A comic-style walkthrough of how I built curiousbit.netlify.app using Claude, Codex, Hugo, Tailwind, and Netlify — zero frontend experience required.
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.
