AI Planning: Definition and Examples

AI Planning refers to the set of artificial intelligence systems designed to assist with planning. This includes strategic business planning, project management, resource allocation, logistics planning, and personal time organization. These systems leverage machine learning, optimization, and reasoning algorithms to propose coherent action plans tailored to defined constraints.

Historically, automated planning is one of the foundational areas of AI, with pioneering work such as STRIPS (Stanford Research Institute Problem Solver) in the 1970s. Today, language models (LLMs) have significantly expanded planning capabilities by enabling the decomposition of complex goals into actionable steps, prioritization of tasks, and anticipation of potential obstacles.

In prompt engineering, AI Planning manifests through techniques that ask the model to structure its thinking before acting: decomposition into subtasks, creation of schedules, identification of dependencies between steps, or estimation of required resources. These approaches significantly improve response quality for complex tasks.

Practical applications are numerous: sprint planning in software development, marketing strategy development, event organization, supply chain management, and financial planning. AI Planning does not replace human judgment but greatly enhances the ability to envision scenarios, detect risks, and optimize resource utilization.