Neo4j Live: Graph Engineering - Making Agent Workflows Repeatable

Your agent takes a different path every run, and you can’t explain why. Graph engineering fixes that by designing agent work as an explicit graph: nodes do the work, edges decide what runs next. We cover: \- The three graphs behind the term: execution\, context\, and procedure graphs \- How graphs give you predictable paths\, an audit trail\, and portability across agent frameworks \- How to turn a skill into a procedure graph \(research result: pass rate up from 53% to 67% on 27 tasks\) \- A live demo: a loan\-approval agent that runs faster on a smaller model Guest: Zach Blumenfeld ( https://www.linkedin.com/in/zachblumenfeld/ ) Blog: #neo4j #graphdatabase #agenticai #knowledgelayer #knowledgegraph #graphrag #graphengineering