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.
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.
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 Rules and Guesses: The Twin Engines Behind Smarter AI AI isn’t just smart, it’s a duet. One part rigid and logical, the other fluid and generative. Together, they form the neuro-symbolic systems behind real insight.
AI in Practice Who Is the Author? Authenticity in the Age of AI AI helps us write—but are we still the ones deciding what’s worth saying? A reflection on authorship, ethics, and identity.
Signals, Systems, and Speech What happens when language models meet logic? Larry Swanson and I explore neurosymbolic AI, voice tech, and the human meaning behind machine-readable content.
AI in Practice The Silent Revolution: How AI is Transforming Speech Recognition Speech recognition is no longer a clunky afterthought—it’s seamless, fast, and nearly human-like. Thanks to AI’s self-attention, our devices now truly listen.
AI in Practice From Pages to Podcast with Google NotebookLM Google's NotebookLM effortlessly transforms lengthy documents into natural-sounding podcasts. In this post, I’ll share how I used it to turn a 60-page report into an engaging audio experience.
AI in Practice AI-Infused Workflow for Idea Generation and Content Creation Learn how AI transforms content creation with a seamless workflow. From brainstorming ideas to publishing and promoting, make your blogging efficient and fun.
AI in Practice Web Traffic and the Rise of LLMs Exploring the impact of LLMs on web traffic, a shift from Google's reign to a new era of digital engagement.
AI in Practice Perplexity, the AI-powered answer engine From accurate answers to cultural insights, Perplexity.ai does it all. Explore the future of search with this AI-powered answer engine.
AI in Practice Poe: Swiss Army Knife for Mastering AI Magic Discover Poe's capabilities as we dive into using multiple language models, custom bots, and real-world examples.
AI in Practice Etymology and meaning of "Data" Explore the rich history of 'data,' from ancient origins to its role in our digital world. Uncover the journey of a term that defines modern life.