Technology strategy, digital transformation, and the people shaping our digital future.
April 11, 2026 · Engineering, Operations
A six-hour hang and a fake embed bug, both caused by the same thing: a loop that had no way to prove it was still working. Two fixes, one rule.
April 8, 2026 · Engineering, AI
How to build a derived graph layer on top of markdown files so you can ask 'what contradicts this?' instead of just 'does this exist?'
April 8, 2026 · Engineering, AI
How I built a ML pipeline to convert 5,287 voice memos recorded over five years of banking consulting into a structured book on UK digital transformation—using local models, immutable lineage, and staged quality gates instead of one-shot prompts.
March 26, 2026 · Engineering, AI
Writing a Claude Code skill is easy. Knowing whether it actually works is harder. We built an eval-and-tune loop that benchmarks skills against a no-skill baseline, and the first thing we learned is that your initial assertions will be wrong....
March 26, 2026 · Engineering, AI
An article on agent-friendly CLIs went around recently. It covered the basics well but missed the patterns that matter most. We built a Claude Code skill that fills the gaps — structured output, stderr separation, exit codes, TTY detection —...
March 23, 2026 · Engineering, Security
Vapor is a capable web framework. But if you want enterprise-grade multi-tenant security — OIDC, RBAC, audit trails, tenant isolation — you're writing it from scratch. We built the chassis that closes those gaps, and the toolchain that made it...
March 20, 2026 · AI, Engineering
Cloud AI APIs are powerful, but some data can't leave the building. We're building a pipeline that trains small, domain-specific language models to run entirely on-device — no API calls, no data exfiltration, no per-token costs. Here's why, and how....
March 20, 2026 · AI, Strategy
A client needed 50 PowerPoint decks converted to a new brand identity. Our first instinct was to train a model. We were wrong. Here's the pipeline we built instead, and the decision framework that stopped us from over-engineering.
March 18, 2026 · AI, Apple
Hands-on benchmarks comparing Qwen3.5 2B, Qwen3.5 4B, and Llama 3.2 3B running locally on Apple Silicon via MLX-LM. Practical findings on speed, memory, output quality, and the sampling parameters that actually matter.