Insights

Practical thinking on AI and the expertise it depends on.

Short, practical thinking on strategy, readiness, human expertise, and the reasons AI programmes often stall.

What we write about

Strategy & prioritisation

Choosing the few AI opportunities worth backing.

Readiness & risk

Telling what is genuinely ready from what is still fragile.

Human expertise

Designing AI that strengthens judgement instead of eroding it.

Latest · · 6 min read

Designing AI That Protects Expertise

AI systems do not have to erode human skill. Designed deliberately, they can preserve and even strengthen it. Six practical design patterns, and the continuum that tells you where to keep practising.

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· 4 min

The Cognitive Cost of Convenience

AI delivers real productivity gains, but relying on it to do our thinking quietly reduces the mental engagement that builds and maintains skill. Here is what the research shows, and what it does not.

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· 6 min

The LLM Wiki: A Pattern for Smarter Organisational Knowledge Bases

Andrej Karpathy's 'LLM Wiki' pattern offers a compelling alternative to retrieval-augmented generation. Instead of re-deriving insights from scratch on every query, AI incrementally builds and maintains a persistent, structured knowledge base. The implications for organisational knowledge management are significant.

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