One single word of internet slang is currently outperforming complex prompt engineering techniques when it comes to fixing generic AI writing.
We have all been there: you ask ChatGPT to write a product description or an email, and it churns out the same tired, corporate-sounding fluff. It feels robotic and lacks any real spark or creativity. I was scrolling through a forum recently when I found this hilarious yet brilliant strategy shared by the original poster on Reddit. Instead of writing long, detailed instructions to correct the tone, this innovator discovered that simply replying with the word “mid” forces the AI to completely rethink its approach.
The Psychology of “Mid”
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The core concept here is surprising but makes sense when you consider how Large Language Models (LLMs) are trained. The author explains that standard feedback prompts often yield poor results. When you say “try again,” the model often interprets that as a request for a slight variation or a lazy revision. When you say “that’s wrong,” the model can get defensive and try to explain why it made those choices. However, the creator of this method found that “mid” triggers a different response entirely.
Because LLMs are trained on vast amounts of internet data, they understand the cultural weight of the word “mid.” It doesn’t just mean incorrect; it means mediocre, uninspired, and boring. According to the expert who ran these tests, this single word puts the AI into “panic mode.” It stops trying to just edit the previous text and instead completely rewrites it with actual personality, specific details, and a distinct lack of corporate jargon. It attempts to impress the user to escape the label of mediocrity.
Why Negative Slang Works Better
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1. The Difference Between Correction and Critique
The original poster makes a fascinating distinction between technical correction and vibe-based critique. Traditional prompts like “make this more professional” or “fix the grammar” are technical instructions. The AI follows them like a rule. But slang terms like “mid” act as a qualitative critique of the soul of the writing. The expert noted that while “try again” results in a lazy shuffle of words, “mid” essentially tells the AI that the entire approach is lackluster. This forces the model to dig deeper into its training data to find words and sentence structures that are associated with high-quality, engaging, and unique content. It shifts the goal from “completing the task” to “proving it isn’t boring.”
2. The Arsenal of “Destroyer” Words
The author didn’t stop at just one word; they tested a whole vocabulary of internet slang to see how the AI would react. They found that specific words act as “destroyers” for generic output. Beyond “mid,” the expert recommends using words like “boring,” “cringe,” “basic,” and the particularly effective “NPC.” The term “NPC” (Non-Player Character) is brilliant because it directly accuses the AI of sounding robotic and pre-scripted. When hit with this feedback, the AI seems to scramble to prove it has “human” creativity. This savvy professional essentially turned prompt engineering into a rating system, treating the AI like a performer that needs to win over a tough crowd.
3. The Power of Iterative Chaining
Another key insight from the post’s author is that this isn’t just a one-off trick; it is a training method. You can chain these responses to refine the output gradually. The creator suggests a sequence where you might reply “mid” to the first draft, and then “better but still mid” to the second. This nuance tells the AI it is moving in the right direction but hasn’t stuck the landing yet. By doing this, you are guiding the model toward a specific “vibe” without having to articulate exactly what that vibe is using complex adjectives. You are effectively training the model in real-time using the path of least resistance.
How to Apply This Technique
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Based on the findings from this industry pro, here is a simple workflow you can try the next time you get a lazy response from an AI tool:
Step 1: Give your initial prompt (e.g., “Write a cover letter for a marketing job”).
Step 2: If the result sounds like it was written by a standard template (using words like “delve,” “landscape,” or “tapestry”), do not ask it to rewrite it.
Step 3: Simply reply with “mid,” “boring,” or “NPC.”
Step 4: Watch as the AI likely drops the formal tone and writes something with more punch and voice.
Step 5: If it swings too far in the other direction, you can rein it in, but usually, the “mid” prompt lands you much closer to a natural, human-sounding draft than a formal request would.
This approach proves that sometimes, the most effective way to communicate with advanced technology is to speak to it like a disappointed teenager on the internet!
Check out the full post to see the original discussion.
💡 FAQ & Troubleshooting
How does using slang like “mid” improve AI responses?
Using short, dismissive slang forces the AI to break away from generic or “corporate” outputs. While standard commands like “Try again” often result in lazy, minor revisions, a prompt like “mid” signals a total rejection of the quality. This effectively triggers the model to completely rewrite the content with more personality and specific details to “improve” its standing.
Are there other keywords or phrases that achieve similar results?
Yes. In addition to “mid,” effective single-word prompts include “boring,” “cringe,” “basic,” and “npc.” Harsher feedback is also effective; telling the AI “you suck” or commanding it to “make this less dogshit” can invoke a strong response, forcing the model to pivot drastically from its previous output.
Is the external link provided in the post safe to visit?
No. Community feedback indicates that the link included in the original post is malicious and potentially a virus. Do not click the external link.
I started replying “mid” to ChatGPT’s responses and it’s trying SO HARD now
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