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 ( linkedin.com/in/zachblumenfeld (opens in a new tab) )

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