Composing with Artificial Intelligence

The adoption of artificial intelligence for written communication has transformed academic and workplace environments. While many recognize the immediate benefits of these tools, maximizing their value requires a deep understanding of their structural limitations and strategic potential. Composing with Artificial Intelligence provides a rigorous, practical framework to evaluate the true capabilities and constraints of generative AI. Through targeted case studies analyzing real-world organizational successes and failures, it equips professionals, managers, and executives with the insights needed to deploy AI tools effectively and achieve high-impact communication outcomes. Key Features and Strategic Insights: Real-World Case Studies: Analysis of successful and failed AI-generated messages and reports common to modern organizational situations. Neuroscience-Backed Prompting: A unique investigation into how neuroscience-related attributes integrated into prompts can drastically improve AI output quality. Dual-Aspect Analysis: Direct evaluation of both the specific prompts used to generate reports and the final written products they produce. Balanced Prompt Engineering: Practical suggestions to optimize AI capabilities while maintaining essential human oversight and creative value. An essential educational resource aligned with management and leadership development curriculums; this text bridges the gap between executive execution and academic instruction. It complements standard business communication textbooks and serves as an ideal reading list addition for competitive training programs.