Addressing the issue of 'LLM-isms' and trendy jargon in AI outputs

A community discussion has highlighted user frustration with LLMs using repetitive, trendy jargon (such as "minted" or "escape hatch") instead of literal language, prompting a search for effective system prompts to enforce normal speech. This addresses a common challenge in prompt engineering and LLM application development, where default model behaviors often produce unnatural, overly stylized, or repetitive "LLM-isms" that degrade user experience. Users are seeking specific system instructions and negative prompting techniques to suppress these annoying speech patterns, as simple directives like "speak normally" often fail to consistently override the model's training biases.