Rewriting critical AI rules for quality and consistency

AIquality assurancegovernancearchitectureAI Strategy
Rewriting critical AI rules for quality and consistency

Some investment in future me this week: R&R on the beach in north Queensland and a rewrite of the critical rules that underpin my work in AI.

It’s a slightly boring, foundational job to do. But it makes a big difference to the quality and consistency I get across all my AI-enabled work. Which, these days, is all my work.

The rules apply in a hierarchy. At the top are Glenn-level rules that cover everything I do for clients, across commercial strategy, architecture, application design, coding and implementation. Then project-specific rules that layer on top - these get as detailed as regulatory guidelines, data privacy specifics and coding security standards.

The result is real-time AI assistance that applies quality assurance at the coalface, not as an afterthought.

It means that I can work at the speed of my own creative thinking, with methodical, deliberate guardrails underneath.

So a boring job, but one that buys me more R&R time in future. 😎

(BTW, the nose bandage stems from a recent gym injury. Another rule: when doing box jumps, always land on your feet, not your face. 🩹 )

Originally shared on LinkedIn