When Legacy Meets Intelligence: Why 200-Year-Old Industries Struggle with AI
What happens when AI arrives in organisations built on mainframes, Excel, and institutional inertia. An insider perspective on technical change in industry.
in-progress Writing
A four-part series on AI, organisations, education, and the future of software.
Published and upcoming pieces behind the ideas and work collected across the site.
Editorial stance
Writing intended to be clear, practical, and rigorous.
The focus is on work that helps people think more clearly about how AI systems are built and used in practice.
Scope
- Industry innovation
- Education
- Agentic systems
- Future of Software
This series explores how AI is reshaping education, industry, and software. The ZenInvest brief is live, with the remaining essays continuing that arc.
The University is Broken: What AI Reveals About Higher Education
Students use AI to write coursework, then use feedback to argue the grade. The system was optimised for outputs, not understanding.
upcomingBuilding ZenInvest: How I Created an AI Investment Agent in a Month
A public brief on building a multi-LLM investment system with transparent reasoning and human-in-control execution.
publishedThe End of Static Software: Why Every App Will Evolve
Software built with embedded AI agents that can adapt, expand, and retire features over time.
upcoming Further writing (planned)
Additional essays in development.
Shorter essays on AI systems, product architecture, and delivery.
Building AI Systems That Leave Room for Human Judgment
How to design AI systems that support thinking without pretending certainty.
Multi-LLM Committees as a Product Pattern
Why distinct model roles can improve scrutiny and reduce blind spots.
How Agentic AI Moves from Prototype to Production
What it takes to move from demos to governed, production-grade AI systems.