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.
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 ChatGPT Connectors: The Emergence of a New Interface Layer ChatGPT just got a new superpower: connectors. Real-time access to your tools like Drive, HubSpot and Notion—without uploading a thing.
AI in Practice Google's AI for Individuals and SMBs: Clarity, Costs, and Strategic Choices Google's AI options are powerful but confusing. Here's how I compared Google One vs Workspace—and why SMBs should think twice before locking in.
AI in Practice Choosing ChatGPT Team: From AI-Confidant to Trusted Colleague Migrating to ChatGPT Team reshaped my digital workflow—less friend, more colleague. Here’s what I learned from shifting accounts, data, and mindset.
AI in Practice How OpenAI o3 Became a Geospy and Found My Photo’s Location I asked OpenAI’s o3 model to play geospy—like a human OSINT analyst. It zoomed, searched, reasoned, and nailed the photo’s location. Watch it unfold.
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.
AI in Practice What Zeta Alpha Gets Right About AI (That Others Don’t) AI you can trust, built for complexity. Zeta Alpha shows how European companies can take back control with search that works—across formats, securely.
AI in Practice Scaling RAG Applications with Weaviate. Learn how Weaviate's open-source platform supports AI agents and knowledge bots through advanced vector search capabilities.
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.
Speech recognition, Speech-to-Text, Dictation, and Transcription: What’s the Difference? Just like picking the right writing tool, choosing the right speech technology makes all the difference—here’s how to decide.
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 Lost in ChatGPT's Models? A guide (March 2025) Overwhelmed by GPT-4o, GPT-4.5, and o3-mini? This guide clarifies ChatGPT’s AI models, helping you confidently pick the right tool for every conversation.
