AI Work Generation Method with Interactive Outline Structuring
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Solution Overview
Problem
Existing AI text generation technologies face limitations such as lack of vivid vocabulary, heavy AI traces, and poor plot content, often generating works directly based on user-input story settings without adequate structure or detail.
Innovation Solution
A multi-stage work generating method that guides users to input creative elements for an AI model to generate work outlines, including summary and detailed outlines, allowing users to supplement and edit information interactively, thereby enhancing the richness and completeness of the generated work.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI models generate works directly based on user-input story settings, then the generation process is fast and simple, but the generated works lack plot content, have poor quality, and show heavy AI traces
Solution Approach 1:
The work generation process is divided into multiple stages: initial work information input, supplementary prompt information generation, work outline information generation (including summary and detailed outlines), and finally target work generation. This segmentation allows each stage to focus on specific aspects, improving overall work quality while maintaining efficient generation through automated multi-stage processing.
Solution Approach 2:
The system generates supplementary prompt information and work outline information before generating the final target work. These preliminary actions include creating summary outlines, detailed outlines, and supplementary prompts that guide the final generation process, ensuring higher quality output without significantly increasing user time investment.
2Manufacturing precision
If users provide detailed work information across multiple dimensions, then the generated work quality improves, but the user input time and complexity increase
Solution Approach 1:
The AI model automatically generates supplementary prompt information based on the user's initial work information input. This self-service mechanism allows the system to enrich the work information without requiring additional user input time, as the AI autonomously creates supplementary prompts that enhance work quality.
Solution Approach 2:
The system provides generated work outline information (summary and detailed outlines) back to the user for review and potential editing before final work generation. This feedback loop allows users to verify and adjust the AI-generated content, ensuring quality while minimizing the need for extensive manual input.
Data Source
AI summary
Embodiments of the present disclosure provide a work generating method and apparatus, an electronic device and a storage medium. The method includes: receiving initial work information under a plurality of dimensions input by a user; in which the plurality of dimensions include at least one selected from a group consisting of work scene, work role and work synopsis; displaying supplementary prompt information generated according to the initial work information; in which the supplementary prompt information is used for prompting supplementation of the initial work information under a target dimension; generating and displaying work outline information according to the initial work information supplemented based on the supplementary prompt information; in which the work outline information includes work summary outline information and work detailed outline information; in response to a work generation request initiated based on work outline information, generating and displaying a target work corresponding to the work outline information.