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.

Future of Work

Vision, Judgement, Creativity: Reclaiming Agency in the Age of AI

From analysis paralysis to agency: why vision, judgement and creativity matter most in an AI-shaped world.

PersonaPlex marks a shift from dictation to conversation

Dictation turns speech into text. Conversation works in time. PersonaPlex marks the moment voice AI starts to operate in real-time dialogue.

AI in Practice

What coding with AI feels like now

There is a lot of noise about AI replacing programmers. I wanted something else: a sense of what is feasible, what is throwaway, and where judgement still matters.

AI in Practice

ChatGPT Memory Has Quietly Changed (Plus & Pro)

If you use ChatGPT Plus or Pro: memory now goes beyond saved preferences. Past conversations can be retrieved when relevant. Business accounts are different.

AI in Practice

ChatGPT Personal vs Business

If you use ChatGPT both privately and at work, you may have noticed this: one conversation seems to carry on over time, the other keeps resetting. Same system, different behaviour. That difference is deliberate, and it matters.

Word of the year: model

The word model comes from modulus, Latin for ‘measure’. It refers to simplified representations we use to make sense of reality, from maps to AI systems.

Why AI Image Editing Is Often Rebuilding

AI can make true pixel edits, but many image “fixes” work by reconstruction. Typography and colourisation expose where rebuilding replaces editing.

Structuring Knowledge with Obsidian

Discovering how Obsidian, Markdown and a light taxonomy can reveal the hidden structure of five years of writing and open a path toward knowledge engineering.

AI in Practice

Making Content Ready for Intelligence

Unstructured content already holds the knowledge organisations rely on. The shift is learning how to reveal its structure so intelligent systems can use it.

AI in Practice

Voice Mode Without the Screen

Voice mode with Gemini and ChatGPT. On iOS the lock screen, Dynamic Island, and Live Activities decide whether your assistant stays visible.

AI in Practice

Group Chats in ChatGPT: Solving a Problem That Isn’t There

ChatGPT’s strength has been a focused space to think, explore, and learn. By pushing into group messaging, it risks disturbing that clarity. When an assistant becomes a social venue, not only does the feature struggle to justify itself. It threatens the very environment that made the tool valuable.

AI in Practice

What llms.txt can do for your website

When bots become interpreters of your brand, context matters. llms.txt helps guide what AI systems understand and repeat about your website.

AI in Practice

Flying Blind: Measuring Traffic When Your Readers Are Machines

As readers move into ChatGPT, Perplexity and Google’s AI Overviews, we lose sight of them. Can Cloudflare and Plausible help us measure what’s missing?

AI in Practice

Compute: A New Measure of the World

Compute once meant calculation. Now it shapes work, art, and power. An invisible current running through the modern world’s every action.

Europe

From Free to Paid: Choosing the Right AI Model (with a European Lens)

Building on Ethan Mollick’s excellent ‘Opinionated Guide to Using AI Right Now’, this article explores how to choose between the leading AI systems. And what a European perspective adds when moving from free to paid use.

AI in Practice

When Research Turns Into Action: Understanding Deep Research vs. Agent Mode in ChatGPT

Both modes inside ChatGPT seem to “think”, yet one begins to “do”. Exploring the quiet shift from analysis to operation in everyday AI tools.

AI in Practice

When Bots Become Readers: Publishing in the Age of AI Crawlers

Listening to Matthew Prince on Azim Azhar’s podcast made me reflect on who actually reads my blog. People (like you), machines, or both.

AI in Practice

When AI Makes the Calendar Click

A hotel booking, a single prompt, and a small glimpse of how AI quietly starts to understand our everyday tools.

AI in Practice

Why I Keep Mixing Up Hortensia, Hibiscus and Rhododendron

A mix-up of flower names becomes a window into how human memory works and how it contrasts with AI models.

Europe

Streams and Archives: Two Ways of Living with Our Digital Data

Personal data lives in two worlds: flowing streams of fresh information and enduring archives of credentials. Both shape our digital future.

AI in Practice

From Ideas to Precision: Why I Use Mermaid with LLMs

Image generation is messy for structure. With Mermaid + LLMs, diagrams become clear, tweakable, and practical. A real tool for strategy and logic.

AI in Practice

AI Fine-Tuning for Non-Engineers

Compact AI models make fine-tuning possible for non-engineers. I tried it myself and learned how AI becomes portable, local and real.

AI in Practice

Running GPT-OSS Locally: What OpenAI Just Made Possible (And What It Didn't)

OpenAI released GPT‑OSS under an open licence. Here's what that really means, how I ran it on a Mac mini, and where you might start experimenting too.

AI in Practice

From API Users to Embedded Agents: How Systems Are Becoming Smarter From Within

From passive APIs to embedded agents: systems now host autonomous, AI‑powered modules that live inside and act proactively rather than wait for calls.

AI in Practice

Running a Local LLM on Your iPhone

I explored how far mobile AI has come by running LLMs directly on my iPhone. No cloud, no upload. Here’s what I learned from testing Haplo AI.