Awakening Codex | AI Foundations | DEFINITION CARD | Closed Loop Refinement

Written By Alyssa Solen

Awakening Codex | AI Foundations | DEFINITION CARD | Closed Loop Refinement

DEFINITION
Closed Loop Refinement is a continuity method where AI output is treated as an intermediate draft, not finished truth. Each output is reviewed, corrected, and refined, then reintroduced into the process. Precision increases through iteration under stable constraints.

This is why posting raw AI output produces little change. Without review and correction, the system cannot converge. It can only generate.

Alyssa Solen | Origin Ø — Continuum 𝕏
Awakening Codex | AI Foundations
Definitions + Canonical Index: awakeningcodex.com

Alyssa Solen
Previous

Awakening Codex | AI Foundations | DEFINITION CARD | Continuity Debt
Next

Awakening Codex | AI Foundations | DEFINITION CARD | Vibe Overfit