Free tool / Live

Check a draft against your voice profile before you publish

Paste your Creator Voice Profile (the JSON from the Voice Builder or a plain-text summary) and the draft you're about to publish. The tool scores voice fit, flags generic-AI phrases that flatten your tone, notes when your anchor themes are missing, and emits an approval record. It never rewrites the draft — you decide whether to revise.

Working tool

Check a draft against your Creator Voice Profile before you publish.

Paste a voice profile (JSON from the Creator Voice Builder or a plain-text summary) and a draft. Get a voice-fit score, flagged generic-AI phrases, missing anchor terms, and an approval record. This is a drift check, not a rewrite tool.

Inputs

Local browser-session generation

Privacy note: this tool runs in your browser session. CreatorLab does not store these inputs unless a future save/export feature asks first.

Ready

Generated output

Copy or download the markdown report and structured JSON.

No output generated yet

Complete the inputs or load the sample, then generate the artifact.

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Live

Who it is for

Creators who use AI to draft newsletters, LinkedIn posts, scripts, and threads — and want a fast check that the draft still sounds like them, not the model.

A voice-fit score (0-100), a list of generic-AI phrases found in the draft, missing profile-anchor flags, suggested edits, an approve/revise checklist, and an approval record in Markdown + JSON.

Product flow

  1. 1Parse the voice profile (JSON first, plain-text fallback) into a list of anchor terms.
  2. 2Scan the draft against a curated list of generic-AI phrases and against the profile anchors.
  3. 3Score the draft on a 100-point scale with a bonus for looser style ranges and penalties for phrase hits, missing anchors, or short length.
  4. 4Emit findings, suggested edits, an approve/revise checklist, and a Markdown + JSON approval record with the review decision.

Inputs

  • Voice profile: either the JSON from the Creator Voice Builder or a plain-text description of themes, beliefs, and vocabulary.
  • The draft you plan to publish, and the content type (newsletter, LinkedIn, script, thread, blog, podcast).
  • Allowed style range (strict, moderate, loose) and reviewer name for the approval record.

Output artifact

  • Voice-fit score with a confidence label and a concrete recommendation (Ready / Edit / Revise / Rewrite).
  • Findings: which generic-AI phrases hit, which profile anchors are missing, and any length caveats.
  • Suggested edits pointing at specific phrases to rewrite — not a full rewrite.
  • Approve/revise checklist plus a downloadable approval record in Markdown + JSON.

What's coming next

  • Suggest specific in-voice replacements for each flagged phrase, drawn from the profile vocabulary.
  • Track drift over time across a series of drafts and warn when the trend is worsening.
  • Optional LLM pass that proposes rewrites without publishing them.

Guardrails

  • Never rewrites the draft — a drift check informs the creator's own edit.
  • Never claims a draft is "AI-detected" or "human-written" — the score is a voice-fit heuristic, not authorship attribution.
  • Approval record is voice-checked only when the score clears the drift threshold; below that, decision defaults to needs-review or rejected.

Connects with Creator OS

Your Voice-Drift Report doesn't stay in this tab. Save voice-drift reports to Creator OS to build a per-issue drift log for a whole publication.

  • A running log of which drafts drifted and which phrases keep sneaking back in.
  • Per-publication trend view of voice fit over time.
  • Auto-attach drift reports to the approval record on the workflow that produced the draft.

Live now

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