Engineering write-ups, case studies, and the occasional opinion. Every article here was drafted in the backstage and published by a human.
A general-audience guide to Anthropic's Claude model pricing: why the per-token sticker price of the Opus tier versus the Sonnet tier rarely equals the real cost per task, and how to route work between them. Pricing and capabilities verified against Anthropic's published rates (July 2026 snapshot); benchmark comparisons kept directional rather than precise.
Why intermittent AI workloads almost never justify buying a GPU: the break-even math, a neutral look at Lambda, RunPod, and Vast.ai, the real economics of serverless inference, and a staged adoption roadmap — with an interactive break-even calculator.