I bought into that idea a month or two ago, that more control and detailed instructions would deliver a clean result. That just led me down a rabbit hole of endless prompt re-runs and optimization loops. Many time I thought I had the final, perfect prompt, the next iteration slightly worsened the output. And sometimes the output was the same.

The last 20-30% of precision is brutal. The time and tokens we burn trying to perfect a prompt is simply not an optimal use of engineering hours. The problem is simple: Companies prioritize profit over the optimal solution, and the initial sales pitch was about replacement then it changed now its all about speed. I'm not making a case against AI or LLMs; I'm saying the current workflow, a path of least resistance means we are inevitably progressing toward more technical debt and cleanup at our hands.

Let me know when aerospace engineers are letting an AI build their planes for them.