| name | tt-humanizer |
| description | Strip AI-script tells from a TikTok spoken script and caption so it sounds like a person talking on camera, not a teleprompter. Removes em dashes, AI vocabulary (leverage, fundamentally, delve, harness), rule-of-three lists, written-not-spoken phrasing, and "hey guys" filler, then adds contractions and one specific number. Includes a --mode audit pre-film check (hook strength, completion design, caption fit). Use before filming any AI-drafted script. Not for writing from scratch (use tt-hook-scripter). |
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
tt-humanizer <script>
tt-humanizer --mode forensic <script>
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 tierreferences/examples.md - worked before/after script rewritesreferences/audit-checklist.md - the pre-film checklist with thresholdssub-skills/post-audit.md - pre-film audit workflow (detection-only, no rewrite)
Related skills
tt-hook-scripter - generates hooks that already pass the humanizertt-caption-writer - generates captions that already pass the humanizer
