The model does not control text length during generation, resulting in texts shorter than the required length (e.g., 3600 characters instead of 7500).
- Editing occurs iteratively, rather than considering the final goal, leading to wasted time and repeated revisions.
- No automatic length verification before output, forcing users to manually check character count and request expansions.
Proposed Solution:
- Character Count Control During Generation
- The model should not finalize text until it meets the specified character count.
- If the goal is 7500+ characters, the text should be generated to that exact length rather than requiring multiple revisions.
- Strict Standards for Long-Form Texts
- The model should always generate a full-length draft initially rather than offering short versions.
- Character count should be locked at the beginning so that if a text is iterated on, the model tracks and adjusts progress accordingly.
- Intelligent Optimization for Long-Form Workflows
- If a text is edited more than twice, the model should adapt its approach and generate a new strategic version rather than making minor tweaks.
- Introduce an algorithm for logical text expansion, ensuring that if additional length is needed, the model adds depth and meaningful content instead of just rewording existing ideas.
Expected Results:
- Significant time savings for users.
- Guaranteed alignment with required text length.
- More efficient handling of long-form content.
This improvement would prevent repetitive interactions and make ChatGPT a far more effective tool for structured content creation.