Evaluation Loop [concept] deterministic

Evaluation Loop

Autonomous self-improvement: generates tests, evaluates, detects drift (KS/PSI), and alerts before regressions compound.

Detected across **8** nodes in this ecosystem graph (book chapters, blog posts, stack components, observatory modules).

Synthesis The Evaluation Loop is a critical component of the Sovereign AI ecosystem, responsible for continuously assessing and refining AI decision-making processes. It enables the system to learn from its experiences, adapt to new situations, and improve overall performance over time. Through ongoing evaluation and iteration, the Evaluation Loop helps ensure that the AI remains accurate and effective.