Go Slower Than You Think You Need To
Parallel agents can save time, but human attention still needs room. A researched, practical guide to smaller waves, clear checkpoints and finishing work you can trust.
Agentic AI & Community Building
I help leaders put agentic AI into practice and build communities where people learn from each other. Advisory, talks and workshops grounded in boards, operations and CEO peer learning.
Advisory
I advise boards, CEOs, operators, and senior teams who need to make AI useful without losing sight of accountability, access, risk, and operational reality.
The work is practical: challenge the AI operating model, test the POC logic, clarify who owns what, and make the next decision easier to defend.
Where I operate
This site brings together practical writing, deeper research, and a public agent-readable layer for people working through complex decisions about AI, governance, operations, and organisational capability.






Latest writing
Parallel agents can save time, but human attention still needs room. A researched, practical guide to smaller waves, clear checkpoints and finishing work you can trust.
A meat proxy forwards AI-generated work without reading it. A funny name, a serious habit, and four questions before you press Send.
A practical British guide to apprenticeships, funded training, pay and employers in electrical work, cooling, construction and energy infrastructure. Learn a trade first, then specialise.
Research
Read this for a practical take on abstract, with enough structure to turn the idea into a leadership conversation.
A research paper proposing agentic language as a common operating layer for humans and agents: shared business terms, Agent Moves, Meaning Blocks, receipts, judgement, human-care signals, and pattern promotion.
Read this for a practical take on abstract, with enough structure to turn the idea into a leadership conversation.
A research paper proposing consensus as a disciplined process of conviction, evidence, listening, challenge, adaptation, and commitment, then translating that human governance model into agentic systems.
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