Blog
Industry analysis, decision frameworks, and operating-discipline writing by the engineers shipping it. Not marketing copy with a byline.
Editorial directory
Each category has its own editorial line, owning department, and target persona. Browse by what you ship, or by who’s going to read it.
16 tracks · scroll to browse
Library
78% of enterprise AI projects don't reach production. The reason isn't model quality: it's the operating substrate. Eval, governance, and deployment topology decide who ships.
Why we don't staff under G6 on client work, and what the senior-only floor actually changes about delivery, governance, and the operating culture.
Most enterprise blockchain projects ship a Hyperledger fork that nobody uses. Here's the honest checklist for when on-chain settlement is the right answer, and when a database with a Merkle tree is.
What separates a RAG demo from a production-grade system. Twelve concrete items, in order, with the failure mode each one catches.
Most cloud migrations land 30–60% over budget, not because of mistakes, but because of architectural decisions made at lift-and-shift time. Here's how to model the real cost shape before you start.
Models change every quarter. The dataset that tells you whether the new model is better than the old one for your workload is the asset that compounds. Most teams haven't started.
Stay in the loop
Engineering writing, research summaries, and the occasional opinion. No newsletter theater; one email a week.