Imagine an AI that can expertly retouch photos, not with a single magic button, but by intelligently selecting and applying a series of specialized editing tools, just like a professional. Researchers have created AgenticIR, an AI agent that mimics this human approach to image restoration. It tackles complex problems like removing noise, blur, and unwanted artifacts by dynamically choosing the right tools from a virtual toolbox. Instead of relying on a one-size-fits-all solution, AgenticIR assesses the image, plans a sequence of edits, executes them, reviews the results, and even revises its strategy if needed. This process, inspired by how humans solve problems, allows it to handle various image issues far more effectively than existing single-purpose models. The system uses large language models (LLMs) to reason and vision-language models (VLMs) to analyze image quality. Importantly, the team equipped the LLM with “experience” by allowing it to practice on a set of images and learn the most effective editing sequences. This knowledge base empowers AgenticIR to make smarter decisions and overcome the limitations of traditional AI models that lack this nuanced understanding. While still in the research phase, AgenticIR offers a glimpse into the future of automated image processing. Imagine software that could autonomously enhance photos, making complex editing accessible to everyone, or even revolutionizing fields like medical imaging and satellite imagery analysis. Though challenges remain, this research marks a significant step toward creating truly intelligent visual processing systems.