7 Prompt Mistakes That Make AI Output Sound Generic

You can usually tell when text came out of a chatbot unedited. It's not that the writing is bad — it's that it's average. Perfectly structured, mildly hedged, faintly enthusiastic, and completely forgettable.

That flatness is a predictable response to under-specified prompts. Here are the seven habits that cause it.

1. Asking for a topic instead of a deliverable

"Write about remote work" invites an encyclopedia entry. "Write the opening 100 words of a newsletter arguing that remote work failed for junior employees specifically" invites an argument.

Fix: name the artifact, the angle and the length.

2. Leaving the audience undefined

Every piece of writing is written to someone. When you don't say who, the model writes to nobody — which reads as writing for everyone.

Fix: one sentence of audience. "The reader is a founder who has already tried this and been burned."

3. Never banning anything

Models reach for the same connective tissue constantly: delve, leverage, robust, seamless, in today's fast-paced world, it's important to note.

Fix: keep a standing banned-words line and paste it into every writing prompt.

Never use: delve, leverage, robust, seamless, elevate, unlock,
"in today's world", "it's important to note", "not only... but also".

4. Asking for balance when you want a position

"Discuss the pros and cons" is a request for a fence-sit. If you wanted a recommendation, the hedging is your own fault.

Fix: "Pick one and defend it. Acknowledge the strongest counterargument in one sentence, then move on."

5. Accepting the structure it offers

Left alone, models default to intro → three bullets → conclusion. It's fine. It's also instantly recognisable.

Fix: specify a different shape. "Open with the objection. No numbered lists. End mid-thought rather than summarising."

6. Giving no examples

A single example of the voice you want does more than three paragraphs describing it.

Fix: paste two sentences you like and say "match this rhythm and level of directness."

7. Stopping at the first output

The first response is the model's safest guess. The interesting version is usually two turns away.

Fix: a standard second turn. "Now cut 30%, remove every hedge, and make the opening sentence a concrete claim."

A drop-in constraint block

Append this to any writing prompt:

Constraints:
- Under {N} words
- No preamble, no summary, no "I hope this helps"
- Concrete nouns over abstractions
- Take a position; hedge at most once
- Banned: delve, leverage, robust, seamless, elevate, unlock

Prompts that already do this

• Brutally Honest Feedback — built entirely out of constraints
• Persuasive Tweet — position-taking with a hard length limit

For the full structure behind these, read How to Write Better AI Prompts.