Your prompt isn’t as good as you think. It might just be running on a model that’s forgiving about vague instructions.
⚓ The test nobody runs
Here’s the idea from a Reddit post I ran into, and it’s dead simple: take the exact same prompt, send it to four different models, and look at what comes back. Where they all land on the same answer, your prompt is clear. Where they scatter in four directions, that part was mush, and whichever model nailed it just got lucky guessing what you meant.
Most people know this. Almost nobody does it, because pasting the same text into four tabs every single revision is the kind of chore that dies after a week. u/AYA_7887 did it by hand too, until they stopped, same as everyone.
🧭 So they built the workaround
Instead of quitting, they built a Chrome extension called WhileAI. Type your prompt once in whichever chat you’re already in, and it gets typed and sent into your other open AI tabs too, using your own logged-in sessions. No API keys, no copy-paste relay. It deliberately does NOT read the answers back, which is the right call. Comparing by eye keeps it private, and the panel just shows you which model is done, writing, or queued, plus how long each one took.
- 🔍 Same prompt, four tabs, one glance: this turns “I wonder if that line is clear” into something you can actually see, instead of guessing.
- ⏱️ Fire and forget: it times every response and tells you when they’ve all landed, so you queue a batch and go do something else instead of babysitting tabs.
- 💡 The real finding after a month: the prompts this person was proudest of were the most model-specific ones. The “portable” prompts that worked everywhere were usually the boring, safe ones. Specificity and portability are pulling in opposite directions, and that’s worth sitting with.
🏴☠️ Grab your next prompt, your messiest one, and run it through two or three models side by side this week. You’ll find the soft spot fast, and that’s the whole point.
Your prompt might only work because one model is being nice to it
by u/AYA_7887 in PromptEngineering