AI Agents in Action How Research Agents Solve Complex Problems
AI Summary
The video discusses how AI agents can streamline complex research processes through a multi-agent framework. It outlines a five-step workflow: defining research objectives, planning the research process, gathering reliable data, refining insights, and generating final answers. Each step involves specialized agents working collaboratively, enhancing research efficiency while ensuring accuracy and trustworthiness. Key tools mentioned include open-source frameworks like LangGraph and Crew AI that assist in creating structured workflows for data science and research tasks. The importance of quality and safety in AI-generated research is emphasized throughout.