You can post a perfect solution on Reddit, but if someone detects you used AI to research it? Downvoted. The info is correct, the solution works, but “AI-assisted” apparently means worthless. When did using tools become shameful? We break down why AI fear is often just gatekeeping in disguise.
Most chatbot problems aren’t model failures, they’re workflow failures. Learn how to eliminate drift, lock tone, and force precision using boundaries, constraints, and feedback signals. This replaces outdated prompt engineering advice with repeatable systems that actually work.
The Simplest Way to Improve Your Chatbot Experience Read More »
Breaking down Ghost in the Shell’s AI technologies: what’s real, what’s fiction, and how close we are to Major Kusanagi’s cyberpunk world in 2025.
Ghost in the Shell’s AI Technologies: Fiction vs Reality Read More »
When I launched EngineeredAI.net, Google rejected 82% of my pages despite identical technical setup to my other successful blogs. Meanwhile, AI bots generated 102k requests in 30 days. This case study documents systematic search engine discrimination against AI-focused domains with real GSC, GA, and server log data – proving that AI discovery systems are outperforming traditional search by orders of magnitude.
How Search Engines Discriminate Against AI Content (With Data) Read More »
AI doesn’t understand parentheses—it mimics what it’s seen. If you’re using it for pricing, formulas, or logic-based prompts, that can lead to silent math bugs. Here’s how one meme exposed a flaw that most devs and QAs never test for.
When AI Gets Math Wrong: Why Logic Grouping Still Needs a Human Brain Read More »
Everyone’s using AI tools—but no one’s reviewing them. I debug AI like code, clean up hallucinations, and test each tool as if it’s already in production. This post breaks down the workflows behind AI reviews that actually matter.
Real-world test of Squoosh, ShortPixel, TinyPNG, and more. We benchmarked AI image compressors using a 6144×4096 Sora-generated image. Some tools delivered. Most failed. See which ones passed the QA test.
You’re not lazy—just exhausted. AI fatigue is making you lower your standards, let bad content slide, and call it productivity. Here’s how to take back control.
AI hype comes and goes, but which trends actually stick? We explore the AI hype cycle, why some innovations fade, and how to identify AI tools that are built to last.
The AI Hype Cycle: Why Some AI Trends Fade While Others Stick Read More »
