When AI output disappoints, most people conclude the tool is overrated and move on. But the same tools produce brilliant work for someone else — so the difference usually isn’t the model. It’s one of four common AI mistakes, and almost everyone is making exactly one of them hardest.
Prompting blind: no context, no examples, then blaming the output. Trusting too much: pasting answers onward without a checking habit. Wrong tool: using one assistant for every job because it’s the tab that was open. No system: getting a great result once and having no idea how to get it again.
Ten questions find your dominant saboteur — most people recognise themselves by question four — and the result is a specific fix, not a lecture. Fixing the one habit usually does more than any new tool you could switch to.