The tutorial outlines how to create a multi-agent AI workflow using CrewAI and Cerebras, focusing on building an agent capable of researching emerging technologies. Cerebras offers a high-speed inference API that significantly accelerates AI tasks compared to traditional GPUs, using its custom Wafer Scale Engine 3. CrewAI is an open-source framework that simplifies the orchestration of multi-agent systems by allowing developers to define agents with specific roles, goals, and tools, powered by language models like Cerebras. The tutorial demonstrates setting up a Senior Researcher agent tasked with identifying trends in AI technologies for 2024, utilizing the Cerebras LLM for rapid and efficient processing. The process involves forming a Crew, which is a collection of agents and tasks managed under a specified execution flow, enhancing the ability to handle complex, coordinated AI applications. Additionally, the tutorial encourages experimenting with different models and agents to optimize performance and scalability in research-intensive AI applications.