Insights

Notes from the build floor

Practical writing on AI, engineering, design, and security — no hype, just what we learn shipping products.

GenAI vs Traditional ML: Where Should Your Business Invest First?

Generative AI gets the headlines, but classic machine learning still wins many business cases. A practical framework for choosing.

Retrieval-augmented generation demos are easy; reliable production systems are not. Here's what actually breaks and how to prevent it.

How we consistently ship marketing sites that score 95+ on Lighthouse — the patterns, the pitfalls, and the metrics that matter.

A due-diligence checklist for evaluating how seriously a development partner treats your data — from encryption to incident response.

The staged approach we use to take AI features from prototype to dependable product — monitoring, fallbacks, and cost control included.

You don't need a 50-person design org to benefit from a design system. Here's the minimum viable version that pays for itself.

Tell us about your product, data, or AI ambitions — we'll respond within one business day.