Yesterday a small experiment landed in r/PromptEngineering that flips the usual prompt-fixing script. Most tools see a bad AI output and jump straight to rewriting your words. The creator, u/BilingualBizPartner, built something different. It’s called PROMPTOPSY, and it refuses to rewrite anything until it knows what actually broke.
PROMPTOPSY runs on something the creator calls TASKSPEC Engine 3.4.2. Right now it’s not a product you can buy. It’s a diagnosis engine looking for patients. The original poster wants real prompts that keep failing people, so the framework can prove itself before anyone gets charged a cent.
Here’s the twist: PROMPTOPSY doesn’t assume the wording is the problem. It runs through a checklist first. Is the wording actually unclear? Is context missing, or do instructions conflict? Are success criteria vague, or is the model wrong for the job? Sometimes the issue is weak evidence, or a broken workflow around the prompt itself. Only after it finds the real bottleneck does it suggest a fix, and it aims for the smallest one that matters, not a full rewrite.
That distinction is the leverage here. Most of us treat a bad AI answer like a wording problem and burn ten minutes rephrasing the same request five different ways. If the real issue is missing context you never gave the model, no amount of rewording saves you. PROMPTOPSY is built to catch that mismatch before you waste the effort.
Compare that to most “prompt improver” tools floating around right now. Feed them a bad output and they hand back a slicker version of your original prompt in seconds. That feels productive, but it skips the diagnosis step entirely. If your instructions were fine and the real problem was missing context or the wrong model, a slicker prompt still fails.
Worth noting: PROMPTOPSY is brand new and unproven. The post has only a handful of upvotes so far, and this Redditor is upfront that this is step one, not a finished product. These three test cases exist specifically to find out if the diagnosis holds up outside a demo.
Want to see it work on your own mess? Here’s the mini-workflow laid out in the thread:
- 📝 Grab the exact prompt that’s been giving you trouble, word for word.
- 🤖 Note what the AI actually gave you back.
- 🎯 Write down what you wanted instead.
- 🔧 Mention which model or tool you used, if it matters.
Post all four in the thread and wait for the diagnosis. No signup, no link, nothing to buy. This industry pro is running the first round as a free test batch of three real cases before deciding whether to build a paid version.
One commenter, u/mathewtyler, tried to break it early. He asked for “a meta prompt that makes AGI” and expected, well, AGI. He didn’t get it. It’s a fair joke. But it also hints at something real: half of prompt failures aren’t wording issues at all. They’re expectation issues. A good diagnosis should say so, instead of pretending a clever rewrite can close that gap.
Another commenter, u/epicskyes, asked a sharper question: what text format does PROMPTOPSY expect, structured markdown, plain markdown, or JSON? That’s worth watching. A diagnostic tool is only as good as the format discipline behind it. How PROMPTOPSY handles messy, unstructured prompts versus clean, structured ones will say a lot. That’s especially true once it scales past these first three test cases.
Pro tip: before you post your failed prompt anywhere for a diagnosis, separate your actual instructions from your assumptions. Write out what you told the AI, then separately write out what you expected it to already know. Half the time the gap between those two lists is your real bug, not the phrasing.
Pro tip two: even without PROMPTOPSY, you can run your own prompts through its checklist. Ask yourself a few questions first. Is the wording vague? Is context missing, or do instructions conflict with each other? Are your success criteria measurable, or did you pick the wrong model for the task? You’ll catch a surprising number of “bad AI” moments that were never the AI’s fault.
I love this approach because it treats prompting like actual debugging instead of guesswork. A real debugger doesn’t rewrite your code before it knows which line broke. It should not skip that step for prompts either.
If you’ve got a prompt that keeps failing you, this is a rare shot at something valuable. Someone is actively building a diagnostic tool and offering a free look under the hood. Head over to the original thread. Drop your prompt, the bad output, and what you actually wanted. See what PROMPTOPSY finds! 🚀
I built a prompt debugger that doesn’t assume your prompt is the problem — looking for 3 real failed prompts to test it on
by u/BilingualBizPartner in PromptEngineering