The truth about AI experts
There are a lot of "experts" who just repeat what they read somewhere else. Here's a simple guide to tell quality content from recycled takes.
Why there's so much recycled content
AI became hype. And hype attracts people who want quick attention. The result is a sea of generic content: "10 prompts that will change your life," "How to make money with AI."
The problem isn't the topic. It's that most of these people have never used AI to solve a real problem. They tested it for 10 minutes and wrote an article.
3 signs of quality content
- Has concrete examples: not "AI can help you." It's "I used AI to solve this specific problem, and here's the before and after."
- Shows limitations: everyone talks about what works. People who actually use AI also talk about what DOESN'T work — and why.
- Is reproducible: you can copy the method and apply it to your context. Doesn't depend on a specific tool.
3 signs of recycled content
- Promises "easy and fast" results: if it were that easy, everyone would already be doing it.
- Only talks about generic prompts: "50 prompts" lists copied from other lists. Zero context, zero method.
- No name, no face: anonymous or overly generic content with no accountability for what it says.
The simplest rule
Ask yourself: "has this person actually used AI to solve a problem like mine?" If the answer is no, it's probably recycled content.
At Pirbrain, every article is written based on real-world use — in product, engineering, and leadership. The Before/After method was born from practice, not theory.
The Before/After Method
The mental model that makes AI outputs reproducible.
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