Notes on AI, delivery, and adoption.
Answer-first essays on getting AI from pilot to production: architecture, enablement, and the agentic systems behind it.
Neurowire Taps Pack: 271 curated sources, 24 themes
The Taps Pack is a ready-made library of 271 vetted sources for Neurowire, grouped into 24 themes from Frontier AI Labs to Food. It's the curation layer ahead of the upcoming Neurowire SaaS.
Neurowire: an open feed engine, now with full docs
Neurowire turns any source, even feed-less websites, into one canonical feed you can serialize to Atom, JSON Feed, Markdown, RSS, or its own compact NWF format. The full documentation site is now live.
Why AI pilots stall before production
AI pilots stall because they optimise for a demo, not for adoption. Production requires architecture, guardrails, and a change in how teams work, not a better model.
Designing MCP systems for real teams
Good MCP systems expose a few high-leverage tools with clear boundaries, not every API you have. Scope, access control, and observability matter more than autonomy.
What 700 trained engineers taught me about adoption
After training 700+ practitioners, the pattern is clear: adoption is a behaviour change, not a tooling rollout. Role-specific practice and internal champions are what make it stick.