A Good Prompt is Like a Recipe
What makes an ai prompt actually work? In this clear, practical session, Pablo Stanley shows how to treat prompt writing like a recipe: start with the subject description, place the most important details at the top, and understand that models weight early instructions more than those at the end. You will see why being specific leads to more inclusive, diverse outputs, how to combine elements without losing clarity, and when order truly matters. If you are exploring ai prompt engineering, this talk doubles as an ai prompting guide and prompt engineering tutorial, connecting ai prompt theory to everyday practice for UX design workflows.
We move from principles to action so your ai prompt writing becomes sharper and easier to iterate. You will learn how an ai prompt engineer frames tasks, sets context, defines tone and audience, and uses constraints to guide generative systems. We cover prompt engineering basics and prompt engineering for beginners, including tips for ai prompts for beginners who want reliable, repeatable results. You will also find prompt engineering explained in plain language, along with a compact prompt engineering guide you can adapt to research notes, design critiques, and interface copy. The session highlights prompt engineering best practices—lead with the subject, specify style, audience, and constraints, and iterate with small, deliberate changes—plus prompt engineering for generative ai that fits smoothly into design sprints. Whether you are aiming for ai prompting mastery or just need stronger ai prompts, the approach is simple, actionable, and tool-agnostic. Presented with the Interaction Design Foundation community, this IxDF lesson gives you a repeatable method you can use today, and a foundation you can grow tomorrow.
🔗 Learn more about How to Create AI Images: On-Brand and Inclusive Photography in the webinar with Pablo Stanley, Designer and CEO of Musho and Lummi:
https://ixdf.io/how-to-design-for-the...
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