Why Most AI Systems Don’t Compound

Problem Statement

Most AI systems produce outputs, but fail to improve system-level performance over time.

Why Compounding Breaks

• Context is fragmented across tools and operators.
• Feedback loops are weak or absent.
• Objectives are implicit instead of explicitly declared.
• Evaluation criteria change between cycles.

Structural Requirement

Compounding begins when objectives, state, and evaluation are bound to a shared operating structure.

Operational Note

Independent agents can improve globally only when local decisions are routed through common constraints.