In this episode, the AI hosts explore my article on why AI graph engineering may feel more familiar than new. They connect it to value stream mapping and established software delivery systems, where work, dependencies, and shared state have long been managed across a flow.

The discussion looks at how AI agents can participate as workers, how shared memory can preserve context and reduce friction, and why human accountability still matters. The participants may be changing, but leadership still owns the responsibility for ensuring the work flows toward outcomes that create real value.

Link to the article:  ...