Insights on Technology Delivery, Innovation, and People
Choose Your Format
Whether you prefer watching, reading, or quick insights on the go, I share regularly across LinkedIn, YouTube, TikTok, and Bluesky. Follow me where it fits you best, or explore them all to see the full picture.
LinkedIn is where I am most active, sharing posts, articles, interviews, and shorts. I also regulalry share and repost active job roles.
I don’t use Twitter (X) anymore, so Bluesky is my go to place for microblogging. I push out all my articles, interviews, and shorts.
I post shorts, videos, interviews, and have playlists on YouTube.
I post shorts, videos, interviews, and have playlists on TikTok.
Playlist Examples (YouTube)
To give you a flavour of the kind of content I produce, I’ve shared a few of my YouTube playlists below. These examples reflect my style of making content clear, engaging, and useful for professionals navigating change and innovation.
Getting a New Role
Artificial Intelligence
Adopting the Cloud, Well
Articles
Each article below is written to be practical and thought-provoking, offering readers clear takeaways they can apply to both their organisations and their own development.
Human Intent – The Human Intent Stack
The Human Intent Stack: how intent moves from human purpose to machine execution, and the world-readiness test most organisations are not yet running.
Everybody’s Token ‘Bout It, AI Costs and Iteration Tax
AI costs are rising even as token prices fall. This side piece explores why the real issue is not just usage-based pricing, but the hidden cost of unclear intent: every vague prompt, retry, and agentic loop turns poor articulation into spend.
Human Intent – Chief Intent Officer (CIO)
The 1980s Chief Information Officer was the right answer to the 1980s question. The 2026 question is different. Same three letters, new word in the middle: Chief Intent Officer. Why the existing C-suite cannot quite reach the gap, and what changes when intent moves into the boardroom.
Human Intent – Contribution Beyond Work
The title is deliberately paradoxical. Humans will continue to do things – that is not what is changing. What is changing is what makes them professionally valuable. This fifth article in the series explores why most AI-skills advice misses the deeper shift, and what humans actually contribute when work is no longer the centre of professional life.
The Cloud Said It First. AI Is Saying It Again.
AI feels unprecedented. Organisationally, it is surprisingly familiar. Twenty years of cloud computing taught us that governance lags technology, and that the organisations that thrived restructured around it rather than retrofitting it. The same pattern is now unfolding with AI, only faster.
Human Intent – Contribution Without Work
For over a century, work has been the unit around which organisations were built – the tasks, the roles, the workflows, the methodologies. As AI takes on execution, that unit is dissolving. Not the doing of things, which continues, but work as the organising principle of enterprise life. The fourth article in the Human Intent series explores why work was always a proxy, and what humans contribute when the proxy dissolves.
Human Intent – The End of Taylor’s Century
For over a century, organisations have been built on a single premise: that they exist to optimise human work. From Taylor’s scientific management to Kotter’s Dual Operating System, every major theory has been a variation within that frame. The third article in the Human Intent series explores why agentic AI is the first technology to genuinely overturn that assumption – and what comes after.
Human Intent – Agile is Dead, Long Live agile
For two decades, Agile was the right answer. Sprints, standups, story points — all of it built to coordinate slow human execution. But agentic AI is changing the constraint. The methodology that grew up around the Manifesto is dying. The spirit that drove it has never been more alive. The second article in the Human Intent series explores what survives, what transforms, and why agility finally has space to thrive.
Human Intent – Organisational Change in the AI Era
For most of the last century, organisations have been built to coordinate human execution. But as AI systems take on more of the work, across every function, not just technology, the constraint shifts. It is no longer how fast we can build. It is whether we actually know what we want.
Intent-Driven Development – Humans have Roles, Agents have Functions
For decades, organisations were structured around the work humans had to do manually. But if agents can write code, run tests, deploy systems, and operate platforms, then organisations may no longer be structured around execution at all. Humans define intent. Agents enact it.
Intent-Driven Development – The Learning Organization
Organizations used to manage people, then processes, then software. Soon they will manage agents. But what they really need to manage is intent. Intent-Driven Development provides the structure for how intent flows through an organization and how organizations learn over time.
Intent-Driven Development – Intent Evolution and Intent Shaping
Traditional architecture often tries to define standards before delivery begins. Intent-Driven Development works the other way around. Intent emerges where work happens, is shaped through execution and measurement, and is promoted upward when it becomes reusable. The hierarchy is not the starting point. It is the result of learning.
Intent-Driven Development – The Intent Hierarchy
The Intent Hierarchy is how Intent-Driven Development scales: shared intent is defined once, inherited everywhere, and refined through implementation. It allows organizations to maintain consistency without duplication, and autonomy without losing alignment with human intent.
Intent-Driven Development – How do you Specify Your Intent
What does an Intent-Driven Development specification actually contain? This article introduces the six elements that allow autonomous systems to execute reliably while remaining aligned with human intent.
Intent-Driven Development – The New Practitioner
In an Intent-Driven Development environment, engineers, designers, product leaders, architects, QA, security and platform specialists are no longer defined primarily by the artefacts they produce, but by the intent they help design and govern. This article explores how each role evolves when intent becomes the organising structure of delivery, and why the future of software development depends on specialists collaborating around a shared intent specification rather than implementation alone.
Designing Intent at Scale – How Enterprise Roles Evolve in the Age of AI
Scaling AI responsibly isn’t about tools, it’s about people. This article outlines how Product, UX, Engineering, Architecture, Security and QA must adapt when intent becomes the central artefact of delivery, aligning roles around governance, measurement and evidence-based delegation.