Frameworks, tools, and thinking for professionals navigating the intersection of artificial intelligence, education, and organisational practice.
Real human-AI collaboration isn't a feature. It's a discipline. It demands that humans develop the mindset to engage with AI meaningfully, and that AI develops how it responds to the individual human. We are nowhere near either yet.
With a combination of experiences gained from the manufacturing industry, the education sector, and the Army Reserve, I bring a unique perspective into the training environment. I am currently Head of Insights for a training organisation operating in the Defence sector, where I focus on educational insight, pedagogical development, and the application of Generative AI.
My work sits at the intersection of how people learn, how organisations develop capability, and how AI — used well — can extend the reach and quality of both, through translating emerging capability into grounded, responsible practice.
My background spans frontline adult education, senior leadership, qualification and assessment design, coaching, and mediation. Together, this gives me a wide frame of reference for the problems that sit underneath most L&D and AI challenges.
Practical frameworks developed through applied research and professional practice — designed for real use in high-stakes contexts.
A seven-dimension rubric for evaluating AI-generated outputs in professional contexts. Operates in Guide Mode and Checker Mode, with a calibrated scoring scale and structured evaluation format.
Score an AI-generated output yourself using the seven-dimension rubric. Works through each dimension with guided scoring, captures your notes, and produces a structured PDF evaluation record.
A structured approach to AI engagement training: Collaborator, Interrogator, Evaluator. Applies Bloom's, Perry's, and SOLO taxonomies to the quality of human–AI interaction.
A four-dimension framework for evaluating the quality of a person's AI engagement practice — how they plan, work, reflect, and think critically. The practitioner-facing companion to the Output Evaluator.
A structured diagnostic for identifying the right AI tools for specific professional tasks — cutting through the noise to match capability to need.
A framework for evaluating the strategic appropriateness of AI use in professional contexts — assessing whether, when, and how AI should be applied to a given challenge.
Long-form thinking on AI, learning, and professional practice — a permanent home for ideas that go beyond the LinkedIn feed.
In-depth articles, blogs, and position pieces on AI, learning, and professional practice — grounded in evidence, shaped by experience.
A live view of current Claude projects and active workstreams — tools in development, frameworks being tested, and ideas being explored.
For professional enquiries, collaboration, and to discuss any of the frameworks, tools, or ideas on this site.