Context Engineering
AI is getting better at understanding ordinary language, which means the next advantage won’t come from finding the “perfect prompt.” It will come from giving the model the right context: a clear goal, the intended audience, reliable source material, strong examples, practical constraints, and a well-designed workflow. This infographic explains the shift from less prompt engineering to more context engineering, with practical examples that show how richer task setup can produce clearer, more relevant, and more usable results. The question is changing from “How should I phrase this?” to “What does the AI need to do this well?”
Dr. Alaa Alsarhan is a higher education leader and analytics expert specializing in assessment, learning outcomes, and data-informed decision-making. He is CEO & Co-Founder of Horizons Analytics, a consultancy advancing AI-powered assessment and strategic planning in education and business. Dr. Alsarhan has authored multiple publications, delivered national keynotes, and led innovative research on high-impact practices, student success, and AI in higher education. He is a founding member of the GenAI in Higher Education Assessment Community of Practice and a fellow with the NWCCU Mission Fulfillment and Sustainability program.
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