Home / Applied AI / 01. AI Engineering / 02. Durable Agent Workflows Durable Agent Workflows¶ The chapters in this module, in reading order. # Chapter 00 Durable Agent Workflows — First-Principles Overview 01 Why orchestration — when the control plane becomes necessary 02 Task decomposition — turning intent into a workflow graph 03 Agent selection and routing — matching executors to step requirements 04 Workflow patterns — sequential, parallel, DAG, and conditional shapes 05 State and context management — what crosses each step boundary 06 LangGraph deep dive — turning the control plane into code 07 Plan-execution manager — the layer that writes, tracks, and revises the route 08 Human in the loop — designing the pause that protects the decision 09 Checkpoint and recovery — making workflows survive what they can't predict 10 Dynamic replanning — revising the route without losing completed work 11 Multi-tenant orchestration — isolation, fairness, and policy when workflows share infrastructure 12 Testing orchestration — proving the control plane works before production teaches you through pain 13 Honest admission — what orchestration still can't guarantee