This article outlines a framework for creating structured prompts to improve interactions with AI tools. By using the TC-EBC format—Task, Context, Elements, Behavior, Constraints—designers can enhance clarity and intention in their prompts, leading to better results.

The AI Pace Layers framework is designed to help product teams navigate the complexities of AI product design by framing AI systems as layered entities that evolve at different rates. It emphasizes the importance of understanding the varying paces of change across different components, allowing for resilient and human-centered AI products that can adapt to dynamic interactions. By drawing from established design theories, this framework provides a structured approach to managing the unique challenges posed by AI technologies.

The article presents a comprehensive framework for implementing shared design leadership within organizations, emphasizing collaboration, communication, and collective ownership of design processes. It discusses the importance of inclusive practices and cross-functional teamwork to enhance creativity and innovation in design projects.

The AI Intention Matrix is a framework designed to help AI product teams determine the appropriate role of AI in their features, balancing between augmentation and automation while considering the quality of output required. By clarifying whether a task should be optimized for high-quality results or satisfice with adequate performance, teams can make more informed decisions that enhance user experience and reduce unnecessary costs. The matrix consists of four quadrants that represent different strategies for AI implementation based on these axes.