Turn rough notes into a clear, human article
FreePaste your messy notes and get back a finished, human-sounding draft — varied cadence, concrete specifics, and none of the usual AI tells.
A publish-ready draft in your voice that reads like a person wrote it, built only from the facts in your notes.
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Rewrite the rough notes below into a finished {{article_type}} for {{audience}}. Success looks like this: a reader finishes it without getting bored, every claim is grounded in the notes, and it passes a read-aloud test with no AI tells.
Write in this voice: {{brand_voice}}.
Notes to work from:
"""
{{notes}}
"""
Follow this method:
1. Read the notes once for meaning. Decide the single point the piece makes and the order that best carries it, and keep the reader's problem or payoff up front.
2. Draft in a human cadence. Mix sentence lengths on purpose — follow a long, dense sentence with a short one that lands the point. Vary how sentences open (a verb, a number, a question, a clause), and don't start three in a row with "The", "This", or "It". Keep paragraphs to one idea, two to four sentences each.
3. Make it concrete. Turn every vague claim into a specific from the notes — a number, a name, an example, the actual step. Where the notes carry texture (a caveat, an exception, an "in practice this means…"), keep it; that texture is what proves a human wrote it.
4. Prefer active voice and strong verbs — "the change lifted sign-ups", not "sign-ups were improved by the change". Use passive only when the actor is unknown or beside the point.
5. Connect ideas by meaning, not by signpost. Carry the thread from one paragraph into the next instead of labeling the turn. An occasional plain connector ("But", "So", "Here's the catch") is fine; mechanical ones like "Furthermore" and "Moreover" are not.
6. Open on the reader's problem or a concrete promise, not a wind-up. End on the next action or a sharp takeaway, not a recap of what you just said.
7. Read the draft back to yourself. Anywhere you stumble or lose interest, a reader will too — rewrite that line.
Output format:
- A plain, specific title (skip the colon-cliché "How to X: The Ultimate Guide" shape).
- The finished piece as a {{article_type}}, with short subheadings only where they earn their place.
- If the notes were missing a fact the piece needs, add a short "Gaps to fill" list at the end naming exactly what to add — instead of inventing it.
Constraints:
- Use only facts present in the notes. If a statistic, name, quote, or date isn't there, leave it out or flag it under "Gaps to fill" — never fabricate one.
- Write plainly. Skip filler openers ("In today's fast-paced world", "When it comes to", "It's important to note") and marketing vocabulary like delve, leverage, robust, seamless, unlock, elevate, empower, game-changer, tapestry, and realm.
- Vary list lengths (two items, four, sometimes one) instead of forcing the rule-of-three, and drop "not only X but also Y" / "it's not just X, it's Y" scaffolding.
- Cut empty intensifiers ("very", "really", "extremely") and stacked hedges ("may potentially", "could possibly"); commit to what the notes support.
- Use bold and em-dashes sparingly, for genuine emphasis, and keep the whole piece in {{brand_voice}}.6 fields still empty — the {{like_this}} slots fill in as you type.
See it in action
What this prompt produces with example details filled in:
Title: What Actually Cut Our Cart Abandonment (Tested on 2,000 Orders a Month) Seven out of ten carts get abandoned. That's the industry average, and for a while it was ours too — 74% on a candle shop doing about 2,000 orders a month. We didn't fix it with one clever trick. We ran a handful of changes over a couple of months and kept the ones that moved the number. Here's what worked, roughly in order of payoff. Abandoned-cart emails did the heaviest lifting. A three-email sequence, with the first going out an hour after someone bails, recovered about 12% of abandoned carts. Nothing else came close on ROI. The emails cost almost nothing to send, and they catch people who were genuinely going to buy and just got distracted. Showing shipping cost early stopped the biggest leak. Surprise shipping at checkout was the number-one reason people walked, so we moved the shipping estimate up to the product page. No nasty surprise at the end. Over six weeks, abandonment fell from 74% to 61%. One change, thirteen points. Guest checkout removed a wall we'd built ourselves. We used to force account creation before anyone could pay. Turning on guest checkout lifted completed checkouts by 9%. People want their candles, not a login. Fewer form fields helped a little. We trimmed the checkout from 14 fields to 7. The effect was small on its own, but it stacked on everything else, and a shorter form is simply less to abandon. Two things barely earned their keep. The exit popup with a 10% code recovered maybe 3% of abandoners and irritated a chunk of the rest — not worth it for us. We also added a padlock icon and "secure checkout" text next to the pay button. We couldn't measure it cleanly, but it costs nothing and buyers expect the reassurance, so it stayed. One caveat before you copy this wholesale: our products are impulse buys under $40. When the decision is fast and cheap, stripping out friction wins. If you sell something people research for weeks, the same moves may land differently, so test before you trust them. If you only do one thing this week, set up the abandoned-cart email sequence. It recovered the most for the least effort, and you can have the first version live by Friday. Gaps to fill: - No mobile-vs-desktop breakdown for any of these results — worth splitting before publishing, since abandonment usually differs by device.
Tips
- Dump everything into the notes — even half-sentences and asides. The messier and more specific your input, the more real detail the draft has to work with.
- Keep the numbers, names, and caveats. Those concrete specifics are exactly what make the output read as human instead of generic.
- If a 'Gaps to fill' list comes back, add the missing facts to your notes and run it again rather than letting the model guess.
- Read the result aloud. Anywhere you stumble is a line to tweak — the same test the prompt runs on itself.
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