Engineering Notes & AI Deep-Dives

Your SPC or OEE dashboard already tells you what happened. Layering a forecasting model on the same pipeline tells you what's about to here's the architecture change that takes, and the one it doesn't.

Most workflow automation is if-this-then-that. Agentic automation adds a step where an LLM makes a judgment call dispatch priority, anomaly severity, a drafted reply with a human able to review before it ships. Here's where that boundary should sit.

Adding an AI copilot doesn't require a rewrite. Here's the integration pattern we use to layer retrieval-grounded assistance onto an existing Next.js SaaS product in weeks, not quarters.

Not every screen needs a chatbot. We break down the places AI integration genuinely improves a mobile app and the ones where teams add it just to say they did.

We break down the architecture behind our Qdrant-powered retrieval-augmented generation stack from chunk sizing and embedding models to re-ranking and hallucination guardrails.

A detailed post-mortem of our engine upgrade for a 100k-download community app bridging module changes, Hermes updates, and zero-downtime deployment strategy.

Inside the legal RAG pipeline ingesting thousands of case documents, building a Qdrant collection, and serving Claude 3.5 Sonnet-powered answers with citations.

How we unified subscription billing across App Store, Google Play, and Stripe for web with a single source-of-truth backend and webhook reconciliation.

From PLC virtual connectors to live I-charts and Cpk analysis how PocketWatch brings statistical process control to manufacturing operators' pockets.

How we connected physical NFC stickers and QR stands to a Next.js web layer, React Native POS app, and FastAPI backend all serving venue owners in real time.