Text Humanizer

Universal, context-aware humanizer. Works on source code, comments, docstrings, technical docs, commits/PRs, published articles, and reddit/chat text. It picks ONE flow from context, lazy-loads only that flow plus the relevant pattern sections, and runs a two-pass model: STRIP validated AI tells, then a gated INJECT of human style fit for the domain.

Position: removes AI surface artifacts and fits register -- it does NOT claim to detect authorship.

Two-pass model (applies to every flow)

• PASS 1 -- STRIP: remove validated AI tells per @reference/ai-patterns.md. Only HIGH-tier universal-strip acts on single instances. MED density-signals act ONLY when several co-occur. Behavior-changing items (hallucinated refs, fake tickets, try/except-everything) are SURFACED for review, never auto-edited.
• PASS 2 -- INJECT (gated): apply @reference/human-patterns.md for the flow's domain. HARD-OFF for code / API / formal-contract. GLOBAL GUARD: never inject typos, errors, or fabricated references in any flow.

Phase 0 -- Greedy flow detection (do this FIRST)

Before any processing, parse the argument, pick exactly ONE flow, and ANNOUNCE it:

Flow: <name> -- <one-line why>