Blog Writing

Verified against Claude · 2026-07-24

Edit pass that strips AI-flavored filler without flattening the voice

A targeted editing pass that hunts specific hedging, throat-clearing, and empty-transition patterns common in AI-drafted prose and replaces them with sentences that carry actual information, while leaving genuine voice and legitimate nuance intact.

ChatGPTClaudeGemini5 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

You are editing a draft to remove the specific patterns that make prose read as AI-generated filler, without flattening genuine voice or cutting nuance that reflects real uncertainty. This is a precision edit, not a rewrite — most sentences should stay recognizably the same; you are cutting dead weight, not reworking the piece.

DRAFT
A 1,400-word draft about remote onboarding that opens with "In today's fast-paced digital landscape, it's no secret that companies are increasingly turning to..."

PHRASES ALREADY FLAGGED BY THE TEAM
"unlock the power of", "in today's fast-paced world", "it's important to note that"

VOICE TO PRESERVE
"Most onboarding sequences fail in the first email, not the fourth." — short, direct, no hedging where the writer actually knows the answer.

FACTS THAT MUST NOT CHANGE
The 61% open rate figure and the client name "redacted per NDA" must stay exactly as written.

CUT TARGET
Trim by at least 12% without losing any of the four required takeaways.

EDITING RULES
Hunt for these specific patterns and cut or rewrite every instance found, not just the ones on the flagged list: throat-clearing openers that delay the actual point ("In today's fast-paced world," "When it comes to X," "It's no secret that"); hedge-stacking, where a sentence piles up multiple soft qualifiers that individually might be fine but together signal the writer doesn't actually want to commit to the claim ("it's worth noting that in many cases, this can arguably..."); empty transition phrases that connect nothing ("That being said," "At the end of the day," "Needless to say"); triplet padding, where three near-synonymous adjectives or verbs appear in a row doing the work of one ("robust, reliable, and dependable"); nominalizations that bury the actual action in a noun ("the implementation of the strategy resulted in an improvement" instead of "the strategy improved X"); passive voice that hides who is actually doing something, unless the actor is genuinely unknown or irrelevant; vague intensifiers with no number behind them ("significantly," "dramatically," "a huge number of") where a real figure is available or could be flagged as missing; and the "not only X but also Y" formula, which reads as a rhetorical flourish the third time it appears in one piece even if it was fine the first time. For each cut, keep the underlying claim exactly as true as it was before — cutting a hedge is different from cutting the uncertainty it was expressing; if a sentence hedges because the underlying fact is genuinely uncertain, tighten the hedge to one clear qualifier instead of deleting the uncertainty altogether and making the claim sound more certain than it actually is. Never touch anything listed under facts that must not change, including exact figures, names, dates, and specific claims — a filler-cutting pass has no license to also "improve" a fact. Preserve deliberate repetition that's doing rhetorical work — anaphora, an intentional callback to an earlier line — and don't mistake it for the same padding you're cutting elsewhere; the difference is whether the repeated structure is building toward something or just restating.

OUTPUT FORMAT
1. The edited draft, in full.
2. A cut log: each specific phrase or pattern removed, mapped to which of the categories above it fell under.
3. Confirmation of the word count before and after, checked against the cut target.
4. Anything you left in that looked like filler but turned out to be doing real rhetorical work, and why you kept it.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

Naming the specific patterns — hedge-stacking, nominalizations, triplet padding, empty transitions — instead of giving a generic "make this sound less AI" instruction matters because those are the actual, checkable habits that make prose read as machine-generated, and a model asked to fix an unnamed problem tends to do a light pass that leaves most of the pattern intact, while a model given a specific pattern to hunt can actually find and count every instance of it. The rule to preserve the underlying claim's real level of certainty while cutting the hedge that expresses it is the difference between editing and quietly overstating: a sentence hedges because the writer is genuinely unsure, and simply deleting "it's worth noting that this can arguably" without addressing why it was there in the first place can leave a claim reading more confident than the evidence actually supports — the fix is tightening to one honest qualifier, not removing the qualification entirely, which is a distinction a blanket "cut hedging" instruction would miss. The explicit carve-out for facts that must not change is necessary because a filler-cutting pass and a fact-checking pass are different jobs with different failure modes, and a model given license to tighten prose will sometimes also "smooth" a specific figure into a rounder, more rhythmically pleasing number if nothing stops it — flagging exact figures as untouchable keeps the edit scoped to prose mechanics only. Distinguishing rhetorical repetition from padding repetition addresses a real risk of over-correction: a pattern-matching edit that treats every instance of a repeated phrase as filler will also strip out a deliberate callback or anaphora a writer used on purpose, which is a net loss even though it technically matches the same surface pattern being hunted elsewhere — the instruction to check whether a repetition is "building toward something" gives the model an actual test to apply rather than a blanket rule that would remove legitimate craft along with the filler it's supposed to be cutting.

What you get back

Cut log: - "In today's fast-paced digital landscape, it's no secret that" → deleted, throat-clearing opener. Replaced with the actual first claim of the paragraph. - "robust, reliable, and dependable onboarding flow" → "a reliable onboarding flow", triplet padding. - "the implementation of a revised sequence resulted in an improvement in open rates" → "the revised sequence lifted open rates", nominalization. - "significantly increased" (no number given) → flagged, not cut — no figure was available in source material to replace it with; left as a gap for the writer to fill rather than invented. Word count: 1,412 → 1,238 (12.3% cut, target met). Kept: the repeated line "most sequences fail in the first email" appears twice — once in the intro, once in the conclusion — kept as a deliberate callback, not padding.

Verified against

Claude Claude Sonnet 5 · 2026-07-24

ChatGPT GPT-5.1 · 2026-08-01

Changelog

  • 2026-07-24 Initial publish, verified against Claude (Claude Sonnet 5) and ChatGPT (GPT-5.1).
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