Insights

Thinking from the build floor

No thought-leadership fluff — practical lessons from designing, building and operating AI systems and modern software.

Beyond the demos: the architecture, guardrails and autonomy boundaries that separate agent experiments from agents in production.

If you can't measure quality, you can't improve it — a practical evaluation playbook for teams building with large language models.

Most RAG failures are retrieval failures. How chunking, hybrid search and honest 'I don't know' behaviour make knowledge systems trustworthy.

How to pick automation candidates, baseline honestly, and measure savings your CFO will accept.

Why data engineering is the least glamorous, highest-return investment in an AI programme.

Beyond the technology: the decisions, skills and governance that determine whether AI initiatives stick.

The concrete techniques behind fast Core Web Vitals on content sites — fonts, images, third parties and the JavaScript you didn't need.

Intelligence, made operational.

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