Paper Contents
Abstract
Abstract:This system offers a workflow for prompt optimization assisted by AI, aimed at enhancing user inputs for large language models. Users submit unrefined prompts that the system examines for any ambiguity, lack of clarity, or absent context. Utilizing GPT API integration, enhanced prompt recommendations are produced with more precise wording, increased context, and organized guidelines. A comparison interface shows both the original and enhanced prompts, allowing users to assess and choose the optimal version, which is subsequently stored for future reference and ongoing learning. The system utilizes a frontend constructed with HTML, CSS, and JavaScript (or React), a backend powered by Flask or Node.js, and a database like SQLite or Firebase for monitoring prompt history and analytics. Data security is guaranteed via encryption both during storage and transmission. This method improves the quality of prompts, encourages user learning, and simplifies engagement with AI models
Copyright
Copyright © 2025 Yash V. Bhonde. This is an open access article distributed under the Creative Commons Attribution License.
