Generative AI and Large Language Models (LLMs) have simplified the process of building AI applications, reducing the need for specialized machine learning engineers and instead emphasizing the importance of prompt engineering—a skill that involves crafting clear natural language instructions for AI models. As a result, product managers and domain experts are becoming more integral to AI application development, as they can directly influence AI products through prompt engineering, which shortens feedback loops and saves on engineering resources. Generalist full-stack engineers are increasingly valuable, as they can implement techniques like finetuning and retrieval augmented generation without deep machine-learning expertise, thanks to accessible APIs and developer tools. Collaboration between product and engineering teams is crucial, but new workflows and insufficient tooling often present challenges. Humanloop addresses these issues by offering an interactive environment where domain experts and engineers can iterate on prompts and evaluate AI features, facilitating the transition of existing product teams into AI teams.