Model-Distance Hierarchy and Cross-Provider Transfer - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

University of Michigan - Ann Arbor

Learners master the engineering principles of agent harness scaling and runtime control planes to eliminate execution failures, context dilution, and premature termination in long-horizon tasks. They develop hands-on expertise in structuring state-bounded runbooks, implementing automated recovery hooks, and contrasting ahead-of-time optimization with just-in-time harness generation. Ultimately, learners gain the strategic frameworks needed to design, evaluate, and transfer verifiable execution scaffolding across varied model architectures and provider ecosystems.

Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

Ch.1 Execution Lifecycle and State Boundaries - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

pdf material of the course "Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor".

1-2608.15089v1.pdf

Ch.3 Harness Synthesis and Factory Patterns - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

2-2608.25593v1.pdf

Ch.2 Provider Transfer and Model Hierarchies - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

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