AI writing often defaults to tired cliches like “a rich tapestry” or “unlocking the power.” By applying strict negative constraints, you can force language models to bypass these lazy habits and produce genuinely sophisticated text. The original poster, u/Significant-Strike40, shared a brilliant micro-framework on Reddit for filtering out these common AI-isms. I think this approach completely shifts how we handle generative text!
When you ask an AI to write something creative, it relies on its training data to predict the most statistically probable next word. Because corporate blogs, marketing copy, and amateur creative writing are heavily represented in that data, the model gravitates toward overused phrases. The reinforcement learning from human feedback process also plays a role here. Models are trained to be helpful, polite, and comprehensive, which inadvertently trains them to use flowery, non-committal language. It wants to “delve” into topics, “harness” potential, and describe complex situations as a “tapestry.” The author recognized that simply asking the AI to “be creative” or “write well” does not work. The model truly believes those cliches represent excellent writing. To fix it, you have to explicitly forbid the lazy pathways.
Here is the exact prompt shared by the creator
“Write [Content]. Rules:”
- No adjectives ending in -ly.
- No passive voice.
- Do not use the words ‘harness,’ ‘unlock,’ or ‘journey’.
This prompt is short, but the mechanics behind it are highly effective. It relies entirely on a technique called negative constraint prompting. Instead of telling the model what you want it to do, you tell it exactly what it cannot do. When you ban specific words or structures, you disrupt the AI’s default token prediction sequence. If it cannot use its favorite crutch words, it has to search its latent space for less common, more sophisticated vocabulary to complete the sentence.
Here is a breakdown of exactly why each part of this prompt works so well
The first rule, banning words ending in “-ly,” is a classic writing workshop technique. It forces the model to rely on stronger verbs and more precise nouns rather than propping up weak verbs with modifiers. When an AI cannot say someone ran “quickly,” it has to use a stronger verb like “sprinted” or “dashed.” This single constraint dramatically elevates the punchiness of the generated text.
The second rule targets passive voice. AI models often use passive voice to sound objective or authoritative, which results in dry, lifeless prose. By forcing active voice, the model must clearly state who is doing what. This makes the writing more direct and engaging for the reader.
The third rule is a hard filter on the worst offenders in the AI lexicon. Words like “harness” and “unlock” are the bread and butter of generic AI marketing copy. Banning them forces the model to articulate the actual value or action taking place, rather than relying on a vague metaphor.
While the original prompt is a great starting point, you can easily build upon this foundation to suit your specific needs. One major improvement would be to expand the banned word list to include other notorious AI-isms. You might add words like “delve,” “testament,” “beacon,” “realm,” “landscape,” and “crucial” to your forbidden vocabulary. Creating a master list of your most hated AI phrases and pasting it into your system instructions is a highly effective way to permanently improve your outputs.
Another variation is to pair these negative constraints with a strong persona and few-shot examples. You could instruct the model to write in the style of a specific author known for terse, punchy prose. Combining a strong persona with negative constraints gives the model both a target to aim for and boundaries it cannot cross. You could also provide one example of “bad” AI writing and one example of “good” writing that follows your rules. This helps the model understand the exact tone you want.
You might also try adding structural constraints to your prompt. For example, you could restrict sentence length, demanding that no sentence exceed fifteen words. This prevents the AI from generating the long, winding, comma-heavy sentences it often favors when trying to sound intelligent.
Here are a few specific ways you can apply this technique to your daily workflows
- 📝 Content Marketing: When drafting blog posts, newsletters, or articles, use these constraints to ensure your copy sounds human. It helps you avoid the standard AI corporate tone that readers immediately recognize and ignore.
- 📧 Email Outreach: Apply negative constraints to sales or networking emails to prevent them from sounding like automated spam. This forces a more natural, direct approach that respects the recipient’s time.
- 💡 Creative Brainstorming: When generating ideas, narratives, or product descriptions, ban the most obvious industry terms to push the AI toward truly novel concepts and fresh angles.
The post also mentioned a tool called Fruited AI for reasoning-focused tasks without moralizing filters, though the community noted this felt a bit like a promotional pitch. Regardless of the tool you use, the core principle of negative constraints remains incredibly powerful across any major language model.
If you want to read the community’s thoughts on this technique, check out the full discussion on the PromptEngineering subreddit.
The ‘Constraint-Heavy’ Creative Writing Filter.
by u/Significant-Strike40 in PromptEngineering