Join My Newsletter

This time, we’re going deeper. These five meta-techniques aren’t about phrasing or tone — they’re about how to think with AI as a parallel mind. If the last two taught you how to talk to AI, this one teaches you how to reason alongside it. 👇 1. Start with the Tension, Not the Task AI thinks best when it has something to resolve. Don’t say: “Explain creativity.” Say: “Why do people fear creative AI — and are they right?” Tension activates comparative reasoning — the model s

We need to stay critical about AI — not cynical, but realistic. Everywhere you look, AI is being described as the solution to everything — a cure-all for creativity, productivity, even meaning itself. But behind that optimism, there’s a growing problem: false hope. AI is powerful, yes. It can help us work faster, explore new creative ground, and reveal insights we might never have seen on our own. But it’s also imperfect — biased, brittle, and often built on systems that harm

I’ve been running a series of experiments to see how different AI models handle true  macro-scale detail — the kind of extreme close-ups you’d normally need a dedicated lens, controlled lighting rigs, and a patient subject to capture. Insects turned out to be the perfect test. Macro photography pushes every part of an imaging system to its limits. You’re dealing with: ultra-thin depth of field micro-textures and surface inconsistencies reflective and iridescent materials tiny

Lately I’ve been testing Midjourney and Luma AI side by side for video generation — not to compare aesthetics, but to understand how each interprets motion. Both tools are impressive in their own ways. Midjourney is phenomenal at generating cinematic moments — sweeping perspectives, painterly lighting, and fluid motion that feels straight out of a film trailer. It’s so good at this that it’s almost too good. When you ask it to “sit still,” it still wants to move. For example,