Assistance with custom instructions regarding bulleted entries
By Holidays in Europe / March 11, 2026 / No Comments / Uncategorized
Optimizing Custom Instructions for Bullet Point Formatting in ChatGPT: A Guide for Users
In the evolving landscape of AI-assisted content generation, many users rely on custom instructions to tailor outputs to their specific needs. However, balancing these settings can sometimes lead to unexpected results. A common issue faced by users is ensuring that bullet points in generated responses maintain a desired level of detail and formatting, especially when recent updates across different versions alter default behaviors.
Understanding the Challenge
A user recently highlighted a problem with customizing bullet point outputs in ChatGPT. Their custom instruction was designed to promote longer, more detailed bullets that incorporate emojis, headers, and horizontal lines for better readability. The instructions specifically stated:
“Use emojis and headers/lists/horizontal lines (including emojis in the headers). Fewer and long, detailed bullets, not lots of short ones.”
Despite this, version 5.3 of ChatGPT disregarded these preferences, producing numerous short, terse bullet points lacking elaboration. This inconsistency was particularly puzzling because earlier versions, like GPT-4, seemed to naturally follow such instructions without additional configuration.
Reflecting on the User’s Experience
The user acknowledged that they had not initially applied a custom instruction, as earlier versions of the model — notably GPT-4 — appeared to intuitively generate longer, more meaningful bullet points and selectively used emoji-enhanced headers. The change in behavior with the GPT-5 series suggests that default settings or underlying model behavior might have shifted, possibly overriding or ignoring user-defined directives.
The core issue here is how to effectively enforce desired formatting and content depth within the new model versions without relying on toggles or specific feature on/off settings, such as the Characteristics switches, which do not offer the granular control the user prefers.
Strategies for Better Control
To regain precise control over bullet point formatting and content detail, users can consider the following approaches:
- Explicit Prompts: Instead of relying solely on custom instructions, craft prompts that explicitly specify the style for bullet points. For example:
“List the items using bullet points that are detailed and comprehensive, including emojis where appropriate. Each item should be at least two sentences long.”
- Prompt Engineering: Incorporate directive language within the prompt to reinforce formatting expectations:
“Please generate bullet points that are elaborative and instructional, avoiding short phrases. Use emojis at the start of each point to enhance readability.”
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Iterative Refinement: If initial outputs do not meet expectations, follow up with clarification prompts encouraging the model to expand or combine bullet points for richer detail.
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Post-Processing Scripts: For advanced users, employing post-generation editing—either manually or via scripts—to merge or expand bullet points can ensure output aligns with standards.
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Configuring Custom Instructions with Caution: While the user has expressed a preference to avoid toggling model characteristics, revisiting this feature with precise parameters could provide additional control if necessary.
Conclusion
Achieving the desired presentation and depth in AI-generated content requires a combination of well-crafted custom instructions and explicit prompting strategies. As model behaviors evolve, staying adaptable and refining prompts accordingly will help maintain consistent output quality. For users seeking finer control, blending instruction adjustments with prompt engineering offers a practical path forward, ensuring that bullet points are both expressive and aligned with specific formatting preferences.
By understanding these strategies and tailoring interactions accordingly, users can better utilize the full potential of the AI to generate content that truly meets their standards.