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Demonstrating Fixed-Model Improvement (Within-Model Lift) requires modifying or fine-tuning the model's underlying weights to support the new execution harness.

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Updated 2026-09-29

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Prep Sessions

Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Ch.1 Foundations and Operational Challenges - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Harness Scaling Foundations and Control Design Space - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor

Ch.1 Execution Lifecycle and Fault Management - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor

Harness Scaling Principles and Execution Failure Modes - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor

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

Harness Scaling Foundations and Execution Failure Gaps - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

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

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

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