Diffusion models generate a product like yours, not your product. A month of testing showed where Midjourney breaks down for listings and where it still earns a place.
I automated nearly everything in my workflow and felt brilliant for a month. Then the brittle parts started failing all at once, and I learned my limit.
My AI experiments used to be a graveyard of forgotten tweaks. Putting them under git turned chaos into something I can actually retrace and trust.
Before a new AI tool touches my real work, it has to survive a short, deliberately mean evaluation. Here is the exact way I test it first.
I ran a model on my own laptop with Ollama and learned more about data privacy in a weekend than years of reading policies ever taught me.
I stopped scattering my best prompts across chat windows and started saving them in one plain text file. Here is why that boring choice keeps paying off.
Running an AI model on my own computer showed me what cloud systems do behind the scenes. You'll learn why companies choose cloud services and how local machines compare in speed, cost, and power use.
I stopped treating AI like a magic button and started asking better questions. Learn the specific habits that turned AI from frustrating to actually helpful for my daily work.
AI summaries skip important details and miss nuances that matter. Learn why relying on them for critical information can lead you astray, and discover what to do instead.
I handed over my calendar, emails, and to-do list to AI for seven days. Some tasks flew smoothly, but others crashed hard—and I learned exactly where AI still needs human help!
I tested dozens of AI tools when they first came out. Most disappeared from my phone within weeks. But a few stuck around because they actually saved me time on real work—and I'm sharing which ones.
