Insights on Technology Delivery, Innovation, and People
Articles & Deep Dives
Engage with thoughtful, concise explorations of the ideas and tools shaping technology today, crafted for curious minds who want meaningful insight, not just buzzwords.
Interviews & Conversations
Hear from the inspiring people I’ve worked with, leaders, innovators, and collaborators who’ve shaped my thinking and pushed boundaries in real-world projects.
Stories from the Field
Go behind the scenes of tech delivery and innovation: how teams work, why decisions get made, and what happens when people-first thinking meets advanced tools.
Formats to Fit Your Flow
Whether you’re here for a quick idea, an in-depth read, or human stories that connect dots; expect posts, interviews, guest features, and reflections that flex with how you explore.
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.




This 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 through Bluesky.
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 – 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.
50 Articles on AI, Technology, and Leadership
A collection of 50 articles spanning enterprise AI, Intent-Driven Development, architecture, executive coaching, and career growth, exploring the technical and human tensions that shape organisations and leadership.
Intent-Driven Development: Maturity Model
In today’s AI-accelerated world, the challenge isn’t whether technology can build software faster, it’s whether organisations can ensure that what gets built actually reflects human intent. Traditional maturity models tend to measure adoption by counting tools or automated outputs, but this risks conflating activity with alignment. True capability emerges not from the number of agents deployed, but from an organisation’s capacity to expand autonomy while preserving clarity, accountability and control.
Intent-Driven Development: Measuring Intent Fidelity
AI adoption doesn’t stall because teams lack capability – it stalls because leaders lack evidence. In Intent-Driven Development, intent fidelity becomes the control signal that replaces guesswork with data. By measuring how well AI implementations align with human intent, organisations earn the right to trust automation progressively. This is the difference between experimenting with AI and scaling it responsibly.
Intent-Driven Development via Multi-Agent Systems
Multi-agent systems are emerging as the next evolution in AI-powered development, but they don’t change how we should specify human intent. By separating intent from AI architecture, Intent-Driven Development ensures specifications remain stable, tool-agnostic, and future-proof, no matter how agents, models, or orchestration patterns evolve.
Why Intent-Driven Development Survives Rapid AI Model Evolution
As AI models evolve rapidly, frameworks tied to specific tools quickly become obsolete. This article explains why Intent-Driven Development (IDD) remains resilient by separating stable human intent and governance from fast-changing AI capabilities.
Intent-Driven Development: Human Gates in Agentic Flows for Enterprise AI Control
Intent-Driven Development based agentic flows show how to design enterprise AI systems with autonomous agents while retaining human control, accountability, and trust through explicit human-in-the-loop gates.
How Intent-Driven Development (IDD) Bridges UCD, DDD, BDD, and TDD in the AI Era
User-Centred Design, Domain-Driven Design, Behaviour-Driven Development and Test-Driven Development each solve part of the problem. In the AI era, Intent-Driven Development (IDD) brings them together by making intent explicit before automated systems turn ideas into working software.
Intent-Driven Development (IDD)
We’ve moved from being limited by what technology can do to being constrained by how clearly we can express what we want. With agentic AI capable of building almost anything at breakneck speed, the real question becomes: are we asking for the right thing?
















