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Overreliance on frameworks as universal solutions rather than adaptable starting points undermines critical thinking and threatens our field's intellectual rigor.

Plan AI-enhanced workshops by preparing warmup activities involving AI, uploading context files, creating custom AIs, and providing adaptable sample prompts.

Serial task switching, or rapidly shifting attention between tasks, is a natural user behavior that lowers productivity and increases stress and the chance of errors.

AI acts as a creative teammate in group settings as it does for solo work. Thoughtful facilitation ensures teams leverage AI effectively in workshops and critiques.

AI hallucinations threaten the usefulness of LLM-generated text in professional environments, but today's LLMs encourage users to take outputs at face value.

Better target user needs by understanding the three sizes of copy: long-form, short-form, and microcopy.

Despite improvements in narrow-scope AI design tools, most design-specific AI cannot replicate human designers' output quality.

AI is a new tool, not a replacement for UX professionals.

Training modern LLMs is a costly process that shapes the model's outputs and involves unsupervised, supervised, and reinforcement learning.

Analyze with confidence by collecting relevant data, critically assessing it, and forming testable explanations.