The development of multi-agent LLM frameworks is a rapidly evolving field, with improvements expected as models like Claude 3 and GPT-4o become more powerful. These frameworks are enabling new product experiences, such as agentic software development teams, where multiple agents work together to solve problems. Researchers are using these frameworks to create tools that augment the capabilities of LLMs, like internet research assistants, which can summarize relevant sources and generate detailed answers. Other projects include automating tasks like video content shortening, newspaper creation, and email response drafting. As multi-agent frameworks mature, they have the potential to deliver significant value in product experiences, particularly in areas where human collaboration is essential.