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Publishing9 April 2026

AI gave me 17 post ideas, none survived

A diagram illustrating why LLM-generated content ideas fail a pressure test, and how mining your own weekly work produces defensible ideas.

Zero survived pressure testing.

Every idea passed the "does this sound like a good post?" test. None of them passed "what happens when a practitioner pushes back in the comments?"

The failure modes were consistent. Some were saturated topics repackaged with slightly different framing. Some made claims about audience behavior that fell apart when I checked whether my specific audience actually does that. A few sounded insightful in isolation but collapsed under one informed question.

What works now is different. I primarily mine ideas from what I actually built that week. Decisions I had to make, constraints that forced a tradeoff, something that broke and what fixed it. Then I run each idea through a chain of thought pressure test.

Does my audience recognize themselves in this? Can I defend this claim? Would someone forward this to a colleague?

If you're struggling with content, try starting from your own work instead of a prompt. The ideas are probably already there. They just need filtering.

Duane Grey

Written by Duane Grey

AI Strategy & Implementation

Independent AI consultant helping companies cut through hype and deploy systems that produce real results.

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