Notes on practical AI.
Short, opinionated pieces on where AI creates durable operational value, written for people who have to run the result.
Find Me A Job
Reads a candidate's profile against live listings and returns a short list of roles worth applying to.
Read case study →Unrejectable
AI that pressure-tests an application before a human sees it, and rewrites the reasons it would get rejected.
Read case study →How Do I Secure Our CI/CD Pipelines and GitHub Actions?
Why pipelines are now a favourite target, a practical hardening checklist for GitHub Actions and other CI/CD systems, and where the tools still leave gaps.
24 OCT 2026
How Do We Choose an Enterprise Architecture Tool in 2026?
What changed in the EA tools market in 2026, the 15 vendors Gartner evaluated, five questions to ask before you buy, and where AI agents fit.
23 OCT 2026
How Do We Reduce Our Application Security Backlog?
A practical plan for shrinking a security findings backlog: measure it properly, cut the noise, route to owners, fix in batches and stop it refilling.
22 OCT 2026
How Do I Secure Vibe-Coded Apps Built by People Who Aren't Developers?
A practical process for finding, owning, scanning and fixing apps that people outside engineering have built with AI.
21 OCT 2026
Do You Need More Than One Application Security Testing Tool?
Gartner's 2025 comparison of 16 AST vendors found none that covers the whole field. What each vendor is good at, the work that falls between the tools, and where AI agents fit.
20 OCT 2026
Operational Intelligence vs Automation
A concise distinction between task automation and intelligence that improves operational decisions.
18 JAN 2026
Designing Websites for AI Discoverability
How semantic structure, entity clarity, and metadata help websites become readable to AI systems.
12 JAN 2026
What Most Businesses Actually Need From AI
A practical view of where AI creates durable operational value.
08 JAN 2026