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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,

Most people still treat AI like a vending machine: type in a request, get an output. But professionals know that the real power comes from shaping the relationship, not the command. Here’s how to shift from prompting to collaborating 👇 1. Stop Asking — Start Negotiating  AI isn’t a genie. It’s a mirror of your reasoning.  When you ask, “Write me a paragraph,” you get compliance.  When you say, “Let’s explore two tones — bold and conservative,” you get a conversation.  Negoti

When most people talk about “prompt engineering,” they imagine it as a technical skill — choosing the right words to make AI do what you want. But that’s not actually what separates amateurs from professionals. What matters more isn’t what  you say to AI, but how closely its frame of understanding matches yours. That’s called Context Symmetry  — and it’s the real foundation of advanced AI work. The Real Problem Isn’t Bad Prompts — It’s Asymmetrical Context When you ask AI for

I’ve been experimenting with Midjourney to create a short video filled with playful Halloween scenes — animals in costumes, carving pumpkins, and getting into all sorts of autumn mischief. The goal was to explore how generative AI can produce light-hearted, story-driven visuals that feel made for kids’ content — colorful, curious, and full of personality. It’s amazing how AI can turn a simple prompt into a world that feels ready for a children’s book or an animated short. 🦊✨

Most people write prompts like orders. Professionals design contexts — because AI doesn’t just respond to words, it responds to frames of thought. Here’s how to shape that thought process 👇 1️⃣ Frame the AI’s mental model Before asking for output, define how you want the model to think.  You’re not giving it a task — you’re assigning it a mindset. “You’re a senior UX designer mentoring a junior colleague.”  Now it reasons like a teacher, not a typist.  Framing changes how it

Most people treat prompting like trial and error — throwing words at a model and hoping for magic. But professionals don’t rely on luck. They use context. In one of my lessons, I unpack three foundational techniques that transform how you communicate with GenAI — so your outputs stop feeling random and start feeling intentional. 📘 1. Priming with Examples Before you ask for an answer, show the model what “good” looks like. By providing a few precise examples, you prime the A

What sets Luma apart isn’t just detail or realism; it’s dynamicity — that sense of physical weight, camera inertia, and believable motion that most AI videos still struggle to achieve. Movements no longer feel stitched together frame-by-frame. They flow. Reflections track naturally as the camera moves. Light shifts in sync with motion. Physics finally feel intuitive — tires bounce, hair ripples, shadows stretch correctly across space. Even in chaotic scenes (say, a squirrel r

Veo 3 continues to impress me with its camera-ready realism. Give it a car chase or a sweeping landscape and it produces footage that...

The first image here (left) shows that stage perfectly: imaginative and haunting, yet clearly born of algorithms still finding their...

The platform was built as a home for human creators. Now it’s adding tools that can automate scripting, editing, and even the visuals themselves. The result? Anyone can publish polished Shorts in minutes. Why It’s Thrilling - Lower barriers: No camera crew or editing chops required. - Faster storytelling: AI can assemble clips, add music, and style footage almost instantly. - New expression: Artists can experiment with ideas that were once impossible on a phone. Why It’s Risk

Take the simple idea:  “Extreme close-up of a thoughtful person’s eyes and upper face.” Rather than stopping at one style, I gathered a...

and a recent experiment caught my attention. While planning a small collaborative side project, I asked an AI assistant to map tasks and...