Abstract: This paper introduces Prompt Logic, a novel concept that offers an alternative to existing approaches for describing user interaction with language models. Unlike current purely technical approaches, common among programmers, computer scientists, engineers, and computational linguists, Prompt Logic simplifies access to contemporary artificial intelligence systems by emphasizing communication based on natural language and intuition. Prompt Logic is presented as a means to democratize access to language models, helping to make them more inclusive, universal, and free of unnecessary complexity in their use. It captures the essence of LLM usage rather than specialized technical expertise. Rooted in theoretical analysis, years of practical AI experience, and empirical research, this proposal maintains that technology must adapt to human language, not the other way around. Prompt Logic is the key to delivering LLMs to all types of users, from those specialized in contemporary technologies to those lacking formal education.

Keywords: AI, LLMs, Prompt Engineering, Context Engineering, Generative AI, Natural Language (NL)

Pages: 201-205