The Art of the AI Prompt (www.art-of-the-ai-prompt.com)

An innovation team shared a set of practical principles for prompting large language models, arguing that effective prompts don’t require arcane skills but simply asking the model to “talk like a human.” Drawing on observations from webinars, workshops and trainings, the team found many users overcomplicate prompts; because LLMs are designed to simulate human conversation, clearer, more natural conversational inputs tend to yield better outputs. The guidance emphasizes conversational norms rooted in social sciences—anthropology, sociology and linguistics—rather than engineering tricks. For the AI/ML community, this reframes prompt engineering as a usability and communication problem rather than purely a technical one. Key implications include lowering the barrier to effective use, improving UX and training strategies, and informing tooling that guides users toward human-like interaction patterns. Technically, the advice suggests focusing on clarity, context and conversational framing to elicit more accurate and relevant model responses, and it highlights that behavioral insights (how people actually converse) can be as important as model internals for deployment and product design.