AI in Practice

Working with AI systems directly — models, tools, workflows and the knowledge infrastructure behind them. From hands-on experiments with Claude, ChatGPT and Gemini to structuring content for intelligent systems.

AI in Practice

Unpack on Arrival

Rendering means two things on the web. Which one happens first determines whether your content exists for AI crawlers, search bots, and readers alike.

AI in Practice

RSS is not dead. It just changed audience.

RSS was built for human readers who wanted control. It turns out that description fits AI crawlers perfectly. The format found a second life it never asked for.

AI in Practice

The Detective and the Swarm

A traffic spike with no statistics counterpart, 400 requests in a minute, 25 countries. The clues were all there. So was the twist: I built the bait myself.

AI in Practice

Markdown, the WD-40 of Digital Information

Markdown has barely changed in twenty years while everything around it was rebuilt. That's not luck. It's what happens when a format finds the exact sweet spot between content and meaning.

AI in Practice

I Thought I Was Optimising for Speed

Building a caching layer for my blog turned into something else: a window into who actually reads it, and what reading even means now.

AI in Practice

Thirty Years of Caching, Sorted in an Afternoon

HTTP caching never quite made sense, until AI tools made it legible enough to actually implement. And the reason it finally mattered: the audience had quietly changed.

AI in Practice

My Visitors Are Not All Human. That Is Fine.

I built a traffic dashboard for my own site. What I found wasn't alarming, it was interesting. A publisher's notes on bots, borrowed identities, and editorial agency.

AI in Practice

GPT Image 2 Changed My Mind on AI Visuals

I had quietly written ChatGPT off for image generation. Then GPT Image 2 showed me a technical diagram of a washing machine, and I had to revise that judgment.

AI in Practice

Dressing up an AI Model in a Harness

An engineer friend calls the infrastructure around an AI model a harness. The word is technically accurate and instinctively wrong. What that tension reveals.

AI in Practice

Built in, not bolted on

Most organisations are adding AI to software that was never designed for it. The real gains come when AI is part of the architecture, not an add-on to it.

AI in Practice

The Workspace You Already Have

Knowledge workers have built informal AI workspaces from Claude, Gemini, and Google Drive. The gap isn't the tools. It's governance, sharing, and where the data lives.

AI Governance

When Git Grows Up

Git-based knowledge management has always been too complex for content teams. Agents change that, and the implications for governance-heavy organisations are worth watching.

AI in Practice

Delegating Past Your Own Ceiling

Cloudflare is powerful enough to extend anything Ghost can't do. The problem is complexity. Claude Code changed that by operating the layer I previously couldn't reach.

AI in Practice

Guests That Should Behave

Bots are modern guests. Most are welcome. But when they arrive in disguise with a real browser and spike your analytics, hospitality has limits. A Cloudflare story.

AI in Practice

Claude Code Routines and the Access Problem

Claude Code's new Routines feature ran my Google Calendar briefing immediately, no setup. The reason: authentication was already there.

AI in Practice

The Claude plan I actually use

Pro subscription, a prepaid credit buffer, and Sonnet for most things. For a non-coder working with AI daily, this turns out cheaper than the Max plans.

AI in Practice

The article I couldn't write

I tried to write about digital sovereignty. The piece kept splitting into three. That splitting, I think, is the actual story.

AI in Practice

Google AI Plus, Pro, Ultra: Clearing Up a Year of Name Changes

Google renamed its AI subscription three times in a year. Gemini Advanced, AI Premium, AI Pro, now three tiers. Here is what each covers, and where Workspace and the free Gemini app fit in.

AI in Practice

The Neural Engine Does Not Run Your LLM

My earlier post on AI hardware implied the Neural Engine handles on-device AI. It doesn't, not for LLMs. Here is what it actually does, and why the distinction matters.

AI in Practice

Running Gemma 4 on Your iPhone

Google's Gemma 4 runs offline on your iPhone. A follow-up to my local LLM experiment, now with a sharper app, a better model, and a clearer sense of what this category is becoming.

AI in Practice

My First Mac App

I described a workflow problem to Claude. It wrote me a compiled Swift app using Xcode. That sentence still feels odd to type.

AI in Practice

ChatGPT Thinks With You. Claude Builds With You.

I switched from ChatGPT to Claude. The difference isn't the model. It's the shift from cognitive support to digital crafting, and what that makes possible.

AI in Practice

Back to the file

Thirty years of web technology, and the most reliable setup is still a text file on a server. We just needed AI to get back there.

When AI Moves Into Your Working Environment

The real change in AI may not be the models, but where they run. When AI enters the working environment, the workflow itself begins to shift.

Future of Work

A lighter computer for a different era

A new iMac, a one-hour migration, fewer ports, more cloud and AI. Replacing a desktop computer now reveals how much the role of the machine itself has changed.