Structured Prompting 2.0: What the Research Actually Says

Prompt engineering advice is everywhere. Ask AI to act as an expert. Add chain-of-thought instructions. Include examples. Write longer prompts. But which techniques consistently improve results, and which are supported more by anecdotes than evidence?

Join Professor and trainer Lance Cummings of the University of North Carolina Wilmington for a research-based look at how prompting practices are evolving and what tech writers need to know as generative AI use expands.

Lance explores a shift already underway: the move from crafting prompts to designing information environments.

You'll learn why content structure, information architecture, and content type increasingly matter more than prompt wording, and why tech writers are uniquely qualified to guide this transition. 

Drawing on current research and lessons learned from a real-world disaster communication chatbot project, Lance will examine the strengths and limitations of popular techniques, including role and chain-of-thought prompting, few-shot examples, and prompt length. 

He'll also explain why using AI to evaluate AI-generated content creates reliability problems and what a defensible testing process looks like.

Register:brighttalk.com/webcast/…