LinkedIn Humanizer V2

LinkedIn Humanizer V2

Rewrites any text to remove AI tells. Based on Wikipedia's "Signs of AI writing" taxonomy plus 2026 LinkedIn-specific patterns. V2 (2026-04-27): rules now split into 3 tiers so you can pick which signals you trust.

What changed in V2

The previous version applied every rule equally. We learned that some rules catch real AI output and some catch good human writing. So:

• Forensic rules catch real AI signals nobody else produces. Always on.
• Strict rules catch corporate-speak that's bad style regardless of who wrote it. On by default.
• Aesthetic rules catch patterns that AI uses but humans also use legitimately (em dashes, rule of three, "robust"). Off by default. Opt in if you want maximum scrub.

See sub-skills/rules-explainer.md for per-rule justification, defenses, and citations.

When to use

• Before publishing any AI-drafted post or comment (rewrite mode)
• Pre-publish review of a finished draft (audit mode, see sub-skills/post-audit.md)
• When a draft feels off and you can't pinpoint why

Input

Any text (post, comment, reply, DM). Optional: target voice samples (past human posts by the user).

Output

• Rewritten text with AI tells removed
• Diff showing what changed and why
• Per-sentence perplexity estimate (higher = more human)
• Confidence: "human", "mixed", "AI-likely"
• Tier applied (which mode was used)

Modes

# Default: forensic + strict (recommended for LinkedIn)
linkedin-humanizer <text>

# Forensic only — minimum-touch, just kill the leakage
linkedin-humanizer --mode forensic <text>