aigc-harness

What problem does it solve?

AIGC Harness closes the loop on AI-generated content issues by automatically diagnosing AI traces, precipitating new detection or replacement rules, performing targeted rewrites, and validating convergence until the content meets pass thresholds. It reduces manual effort for teams that must lower AI-detectable characteristics while preserving meaning and correctness.

Core Features & Use Cases

• Four-phase automated workflow: diagnosis → rule precipitation → targeted revision → verification and fix loop.
• Rule learning and management: generate deterministic and semantic candidate rules and append replacement pairs to the replacements table for ongoing coverage improvement.
• Segmented, context-aware rewriting: per-segment processing with adjacent context and configurable revision modes (rewrite, anti-detect, polish).
• Use Case: When a user reports "AI flavor too strong" or an upstream detector flags high AIGC score, run the harness to produce revised content, new candidate rules, and a post-change verification report.

Quick Start

Run the harness on the file at content_path with the workspace_path containing rules and context to diagnose, precipitate rules if needed, perform targeted rewrites, and validate until convergence.