VideoVideo:Greg Isenberg
Graph Engineering: Structuring Workflows for AI Agents
Greg Isenberg breaks down graph engineering as the layer above prompt and context engineering. Rather than running complex tasks through a single chat prompt, work is structured into discrete jobs, parallel paths, independent checks, and human approvals. In addition to distinguishing knowledge graphs from agent graphs, he demonstrates practical workflow patterns and three implementation levels ranging from manual runs to tools like LangGraph and n8n.