Tt humanizer

TikTok Humanizer

Rewrites a spoken script (and caption) to remove AI tells, and audits a finished draft against the 2026 TikTok checklist before you film. The problem this solves is specific to video: a script that reads fine on the page can sound robotic out loud. Written-not-spoken phrasing, perfect parallelism, and AI vocabulary all expose themselves the second a human says them to camera.

Based on Wikipedia's "Signs of AI writing" taxonomy plus TikTok-specific spoken patterns (the muted-first hook, the no-intro open, completion-rate structure).

When to use

• Before filming any AI-drafted spoken script (rewrite mode)
• Pre-film review of a finished script + caption (audit mode, see sub-skills/post-audit.md)
• When a script "reads fine but sounds off" when you say it out loud

Input

A spoken script (the hook line plus the body), optionally the caption, and optionally voice samples (the user's past scripts or how they actually talk).

Output

• Rewritten script that sounds spoken, not written
• A diff showing what changed and why
• Caption char count (flagging over 2,200) when a caption is included
• Confidence: "human", "mixed", "AI-likely"

Modes

# Default: scrub AI tells and fix spoken-word issues
tt-humanizer <script>

# Forensic only - minimum touch, just kill model leakage
tt-humanizer --mode forensic <script>

# Audit - detection-only pass-fail review, no rewrite
# Runs the 2026 TikTok pre-film checklist: first 1-3 second hook strength,
# muted-first text, completion design, caption fit, hashtag and settings sanity.
# Returns Blockers + Warnings + suggested fixes. See sub-skills/post-audit.md.
tt-humanizer --mode audit <script>

The three passes

Pass 1 - SCRUB (delete or replace)

Apply the tiered catalogs in references/scrub-rules.md:

• Forensic (always on): real model leakage no human says. AI tool markers (oaicite, contentReference, turn0search0), knowledge-cutoff disclaimers ("As of my last update"), template blanks ([Your Name]), and em dash overuse.
• Strict (default on): bad spoken-word style regardless of origin. Vocabulary swaps (leverage -> use, delve -> look at, harness -> use, foster -> build), filler adverbs (fundamentally, essentially, ultimately), written connectives ("moreover", "furthermore"), dead filler ("hey guys", "without further ado"), and dead closers, both spoken ("thanks for watching", "don't forget to subscribe") and caption-level ("What do you think?", "Drop your thoughts below", bare "Let me know in the comments").

Pass 2 - BREAK (make it sound spoken)

• Replace full grammatical sentences with how a person actually talks: contractions and fragments. "It is something that you should consider" becomes "you should try this".
• Break perfect parallel structures ("faster, cheaper, easier") with one asymmetric, specific line.
• Vary line length. A teleprompter rhythm (every line the same length) sounds robotic out loud. Add a short punch line.
• Read-aloud test: flag any line that needs two breaths or trips the tongue.

Pass 3 - ADD (human fingerprints)

Require where the content allows:

• 1 specific number (replace "many", "a lot", "a few")
• 1 named entity (a real tool, person, or place)
• 1 first-person concrete detail ("the third take", "my 2am edit")
• the spoken register: how this person would actually say it

If the input lacks these, ask the user for a number or detail. Do not fabricate.

Non-negotiable rules

Global voice rules: see root SKILL.md Voice rules. Additional skill-specific rules:

• Scrubbing is always in scope. When asked to humanize, de-AI, finalize, or publish a script or caption, run at least the forensic + strict passes before it ships. This holds when the user wrote the draft themselves, says they love it as-is, or is in a hurry. Author identity, "it's already good," and time pressure are never reasons to skip the scrub. The forensic + strict pass changes no meaning and takes seconds: run it, then ship. If a constraint truly forbids touching the text, say so explicitly and name every tell left in; the default is to scrub, not to wave it through.
• Preserve the user's actual claim and meaning. "Preserve their voice" covers voice quirks and what they are claiming, NOT corporate-speak, filler openers, or AI-tell phrasing. Stripping "leverage / fundamentally / in today's fast-paced world" is not changing their voice; it is the job.
• Never introduce facts that were not in the input. If a number is missing, ask.
• Keep it sayable. Every line has to survive being read out loud in one breath.
• Keep the user's voice quirks (their slang, their pacing, lowercase texting style in the caption).

TikTok-specific tells this skill catches

• A hook line that is written, not spoken ("In this video, I will demonstrate..").
• A greeting or logo intro before the payoff ("hey guys, welcome back").
• The spoken hook and the on-screen text saying the identical words.
• A caption over 2,200 chars, or a 12-hashtag wall.
• Perfect parallel tricolons read aloud ("learn, grow, succeed").
• A "call to action" stacked five deep.
• AI vocabulary that no one says on camera (leverage, utilize, robust, seamless).

Example

See references/examples.md for worked before/after rewrites of spoken scripts.

Files

• SKILL.md - this file (rewrite scrubber + audit-mode entry)
• references/scrub-rules.md - vocabulary swaps and spoken-word fixes by tier
• references/examples.md - worked before/after script rewrites
• references/audit-checklist.md - the pre-film checklist with thresholds
• sub-skills/post-audit.md - pre-film audit workflow (detection-only, no rewrite)

Voice profile mode (--mode profile)

tt-humanizer --mode profile builds or updates the user's Voice & Brand Profile at ../../references/voice-profile.md from 3-6 of their real TikTok posts pasted in (portable, no token) or, if a read token is set, from pulled activity. Once filled, every writing skill in this bundle drafts in the user's voice automatically. See sub-skills/voice-profile.md. Triggers: "build my voice profile", "learn my voice".

Related skills

• tt-hook-scripter - generates hooks that already pass the humanizer
• tt-caption-writer - generates captions that already pass the humanizer