PromptXpert: The AI for Better Answers

PromptXpert: The AI for Better Answers | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 7 July 2025 V1 Latest version Share on PromptXpert: The AI for Better Answers Author : Abdon de Paula 0000-0002-7466-1667 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175192065.56937600/v1 174 views 150 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The burgeoning field of Artificial Intelligence (AI) and Large Language Models (LLMs) has profoundly amplified the importance of prompt engineering. However, prevailing manual and automated (APE) methods continue to grapple with significant challenges, including inefficiency, a notable lack of transparency, and burdensome computational demands. This paper introduces PromptXpert, a novel theoretical layered architecture meticulously designed to surmount these limitations. It offers a holistic and integrated solution for advanced AI prompt optimisation, systematically refining prompts through a multi-layered process. PromptXpert's design inherently emphasises clarity, objectivity, relevance, personalisation, and explainability. Key features include granular control over the refinement process, continuous evolution facilitated by hybrid learning, and deeply integrated Explainable AI (XAI) mechanisms, all aimed at fostering user trust and understanding. Critically, the architecture is engineered to leverage parallel processing capabilities, thereby revolutionising human-AI interaction by making it more direct, precisely aligned with user intent, and notably computationally efficient. This concerted approach establishes a new standard for sophisticated and effective engagement with AI systems. Supplementary Material File (promptxpert. the ai for better answers.pdf) Download 328.35 KB Information & Authors Information Version history V1 Version 1 07 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords artificial intelligence hybrid learning layered architecture prompt engineering prompt optimization Authors Affiliations Abdon de Paula 0000-0002-7466-1667 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 174 views 150 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Abdon de Paula. PromptXpert: The AI for Better Answers. Authorea . 07 July 2025. DOI: https://doi.org/10.22541/au.175192065.56937600/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. 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