Looking for better/stickier verboseness prompts for GPT-5 (Instant)

Enhancing AI Response Depth: Effectively Prompting GPT-5 for Richer, More Detailed Replies

As AI language models like GPT-5 continue to evolve and become more integrated into our daily workflows, users are seeking ways to optimize their interactions to obtain responses that are comprehensive and engaging. A common challenge is encouraging the model to produce detailed, verbose replies without veering into overly casual or unfocused territory. In this article, we explore strategies and prompt engineering techniques to achieve consistently richer responses, especially for technical and creative discussions.

Understanding the Need for Effective Prompting

Many users notice that default outputs from GPT-5 can sometimes be concise or brief, preferring instead to access more in-depth explanations. The goal is to craft prompts that guide the model to deliver detailed, multi-paragraph answers—ideally, around 8 to 12 paragraphs—unless explicitly instructed otherwise.

A popular approach involves setting a directive that instructs GPT-5 to operate in a high-verbosity mode. For example, a user might use a prompt like:

“For this conversation, stay in HIGH VERBOSITY mode, always providing a detailed response. Each answer should be approximately 8–12 paragraphs unless I specify ‘short.’ I will say ‘STOP VERBOSE’ when I am done.”

While this method can sometimes yield the desired level of detail, users report inconsistent results—sometimes receiving far fewer paragraphs than intended. Adjusting the parameters downward generally increases response length, but achieving precise control requires more refined techniques.

Strategies for Improved Verbosity Control

1. Explicit Multi-Paragraph Instructions: Clearly state the desired response structure within the prompt. For example:

“Please provide a comprehensive, step-by-step explanation of [topic], formatted as at least 8 paragraphs, covering all relevant aspects in detail.”

1. Set Response Goals with Quantitative Guidance: Incorporate specific metrics to steer output length, such as:

“Respond with a detailed analysis comprising 8–12 paragraphs, each thoroughly exploring different facets of [topic].”

1. Utilize Stop Commands and Control Tokens: Incorporate commands like ‘STOP VERBOSE’ to signal the end of the verbose response, helping the model understand the scope.

2. Iterative Prompt Refinement: Experiment with prompt wording, gradually refining until the desired verbosity is consistently achieved. For example:

*”In this conversation, your responses should be elaborative and detailed, aiming for 10 paragraphs