Ask more useful questions.
I explore source-aware research, comparison and structured notes, with attention to what can be verified and what remains uncertain.

My active exploration of AI, the capabilities it opens up and the human judgment needed to use it well.
Explore the perspectiveI do not want to watch a major change unfold from a distance. I want to understand it through use.
I am an avid participant in the AI space. I use the technology to explore ideas, organise information, support research and develop digital work. Each application teaches me something about its capabilities, its limits and the quality of the instructions and judgment it needs.
AI is becoming a normal part of working life. Adoption is uneven, and different tasks call for different levels of oversight. My view is that we should be building the ability to work with these tools now, while remaining thoughtful about where and how they belong.
Readiness means more than access to a tool. It means knowing the objective, preparing useful information, recognising an unreliable answer and retaining the ability to make a considered decision.
The OECD’s 2026 review reports that AI adoption among firms in OECD countries increased from around 7% in 2021 to 20% in 2025.
Approximate figures reported in the OECD’s Skills in the AI Age ↗. Adoption varies across countries and types of business.
When I talk about coexisting with AI, I mean learning to work alongside a powerful technology in ordinary life and business. People set the purpose, establish the boundaries and remain responsible for the decisions.
The opportunity is to combine machine assistance with human context: values, lived experience, relationships, critical thinking and the ability to care about the consequences.
A person defines the objective, understands the situation and decides what a useful outcome would mean. Clear intent gives the tool a meaningful task.
AI can help draft, structure, compare and explore information. The choice of task, context and review process determines how useful that assistance becomes.
Review the evidence, consider the people affected and decide what should happen next. Confidence in an output should come from checking it.

I explore source-aware research, comparison and structured notes, with attention to what can be verified and what remains uncertain.
I develop instructions and inquiry processes that organise information and support a useful human handoff.
I experiment with websites, presentations and digital storytelling, using iteration and review to develop a coherent result.
My long-term ambition is to develop an AI consulting practice. Today, my focus is on deepening my understanding, testing ideas in my own work and building the experience that would make that contribution valuable.
I welcome thoughtful conversations with people who are also exploring how AI can improve the way we work, learn and create.
Exchange ideas about AI