I'm not an engineer. I built a prompt-structuring tool anyway, using Claude Code — here's what actually went wrong

🤔 The problem

I don't write code. I'm not an engineer, day to day — but I use AI chatbots constantly, and I kept running into the same annoying pattern.

I'd type something lazy into ChatGPT or Claude — half a sentence, no context, whatever came to mind first — and get back a mediocre answer. Then, later, I'd realize: if I'd just written a slightly better prompt, I probably would've gotten a much better answer on the first try. Instead I'd burned a chunk of my monthly quota (sometimes on a paid plan) on something forgettable.

I figured other people had to be doing the same thing. So I built something for it.

💡 What I built

It's called Deep Prompt Studio. You paste in a rough, unpolished prompt — the kind you'd type without thinking too hard — and it hands back a detailed version that pulls in whichever pieces actually matter for that request: role, task, constraints, output format, and more. It's not tuned for one specific chatbot; it's meant to work well whether you're pasting the result into ChatGPT, Claude, Gemini, or something else.

I'd genuinely like to know — for those of you who do write code day to day, does this "AI says no problem, but there secretly was one" thing happen to you too, or is that mostly a non-engineer problem because I can't read the diffs myself?