# T-607: Correction & Refinement Loop Research

**Status:** Completed (early-stage inception)
**Date:** 2026-03-25

## Problem Statement

Research into correction and refinement loop patterns for agentic workflows.
Explored how agents can self-correct through structured feedback cycles.

## Findings

This was an early-stage inception task completed quickly (5 minutes).
The correction/refinement loop concept was later absorbed into:
- Error Escalation Ladder (Levels A-D in CLAUDE.md)
- Healing agent pattern-matching (agents/healing/)
- Bug-Fix Learning Checkpoint protocol

## Decision

The core idea (agents learn from corrections) became foundational to
the framework's antifragility directive. No separate implementation needed —
the concept permeates multiple framework subsystems.
