prompt
FreeMake AI talk normal: direct, concise, no fluff
FreeFree tier
Inputs: textOutputs: text
About prompt
The Talk-Normal Enabler is an open-source system prompt designed to make AI language model responses more direct, concise, and free of filler. It enforces rules such as avoiding negation-based contrastive phrasing (e.g., 'not A but B'), leading with the answer, ending with actionable recommendations, and eliminating common fluff phrases. The prompt has been tested on models like GPT-4o-mini and GPT-5.4, achieving 73% and 72% token reduction respectively with zero information loss. It originates from the hexiecs/talk-normal repository and is hosted on GitHub within the ai-boost/awesome-prompts collection.
Key Features
Enforces direct positive claims, avoiding negation-based contrastive phrasing
Eliminates common filler phrases like 'I'd be happy to', 'Great question', 'Certainly'
Encourages leading with the answer and ending with a concrete recommendation
Achieves significant token reduction (72-73%) with no information loss
Supports multiple languages (examples in English and Chinese)
Includes rules for code, comparisons, explanations, and yes/no questions
Pros & Cons
Pros
- Dramatically reduces token count without losing essential information
- Produces clear, actionable, and clutter-free responses
- Highly customizable and open-source (free to use and modify)
- Works with multiple LLMs (tested on GPT-4o-mini and GPT-5.4)
- Includes explicit examples for correct and incorrect usage
Cons
- May make responses feel too abrupt or blunt in casual conversational contexts
- Strict rules can suppress valid nuanced explanations that require contrastive reasoning
- Requires careful instruction following; deviations may break the intended style
- Not suitable for domains where elaborate or polite language is expected (e.g., therapeutic settings)
Best For
Improving AI assistant response quality in chatbots and customer supportReducing token usage and API costs in production LLM applicationsCreating more efficient and user-friendly AI interactionsStandardizing output style across multiple AI models
FAQ
What is the Talk-Normal Enabler?
It is an open-source system prompt that instructs AI language models to be direct, concise, and avoid filler or negation-based contrastive phrasing.
How much does it reduce token usage?
Tests show 73% token reduction on GPT-4o-mini and 72% on GPT-5.4 with zero information loss.
What models is it tested on?
It has been tested on GPT-4o-mini and GPT-5.4.
Where can I find the source?
The prompt is available on GitHub in the ai-boost/awesome-prompts repository, originally from hexiecs/talk-normal.
Is it free to use?
Yes, it is open-source and free, hosted on GitHub under a public repository.