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The URBAN AI GUIDE aids city leaders and urban technologists (academic, public, private, and community-focused) in better understanding how artificial intelligence operates in urban contexts. The idea for this guide arose from conversations with city leaders, who were confronted with new technologies, like artificial intelligence, as a means of solving complex urban problems, but who felt they lacked the background knowledge to properly engage with and evaluate the solutions. In some instances, this knowledge gap produced a barrier to project implementation or led to unintended project outcomes. The guide begins with a literature review, presenting the state of the art in research on urban artificial intelligence. It then diagrams and describes an "urban AI anatomy," outlining and explaining the components that make up an urban AI system. Insights from experts in the Urban AI community enrich this section, illuminating considerations involved in each component. Finally, the guide concludes with an in-depth examination of three case studies: water meter lifecycle in Winnipeg, Canada, curb digitization and planning in Los Angeles, USA, and air quality monitoring in Vilnius, Lithuania. Collectively, the case studies highlight the diversity of ways in which artificial intelligence can be operationalized in urban contexts, as well as the steps and requirements necessary to implement an urban AI project. Visit https://urbanai.fr/our-works/urban-ai-guide/ to learn more about the project.