AI Prompts for Plain Language Writing: A Teardown

Simplify this and make it easier to understand. [PASTE TEXT]

Most plain-language advice is wrong about one crucial thing: it treats "simple" and "simplistic" as the same word. They're opposites. Simplistic writing removes nuance and talks down to people. Plain writing keeps every idea intact and removes only the barriers between the idea and the reader — the jargon, the tangled syntax, the showing-off. That distinction is exactly where ai prompts for plain language writing go wrong, because the obvious prompt produces simplistic, not plain. Let's take a weak one apart and rebuild it.

Before: The Weak Prompt

Here's the prompt nearly everyone uses:

Simplify this and make it easier to understand. [PASTE TEXT]

It'll produce simpler text. It'll often produce simplistic text — and lose things you needed.

Why It Fails

This prompt fails in three specific ways.

"Simplify" invites removal, not clarification. The model reads "simplify" as "cut and shrink," so it strips out qualifiers, caveats, and nuance that were actually carrying meaning. You end up with something shorter and less true. Plain language keeps the nuance; it just states it clearly.

It has no reader in mind. Plain for whom? Plain language for a general public audience differs from plain language for busy experts who want jargon stripped but concepts kept. Without a specified reader, the model defaults to a vague middle-school register that fits no real audience.

It produces condescension. Told only to make things "easier," the model often adds a talking-down tone — over-explaining, sing-song simplicity — that plain-language experts specifically warn against. Respect for the reader is part of plain language, and "simplify" throws it away.

⚠️ Common mistake: Equating plain language with short words and short sentences. Plain language is about the reader's effort to understand, not word length. Sometimes the plainest choice is a slightly longer, familiar word over a short, obscure one, or a well-structured longer sentence over choppy fragments. Optimizing for shortness instead of clarity is how "plain" becomes "simplistic," and the two are not friends.

After: The Improved Prompt

Here's the rebuild:

Rewrite this in plain language for [SPECIFIC READER, e.g. a busy nurse / a first-time homebuyer]. Rules: - Keep every idea and caveat — plain means clear, not dumbed down. - Replace jargon and tangled syntax, but respect the reader's intelligence. - Use "you" and active voice. No condescending over-explanation. Flag anything where simplifying would lose necessary meaning, and ask me instead.

What this does: It anchors clarity to a specific reader, protects meaning explicitly, and blocks the condescension the default produces. The flag clause stops the model from quietly dropping something important in the name of simplicity.

Breaking Down Each Element

The specific reader is the biggest fix. "Plain for a busy nurse" produces different, better choices than generic "simple" — it keeps clinical precision while cutting bureaucratic filler. Naming the reader gives the model a real target.

"Keep every idea and caveat" protects against the removal problem. Plain language rephrases nuance clearly; it doesn't delete it. This line is what separates plain from simplistic.

"Respect the reader's intelligence" and "no condescending over-explanation" block the talking-down tone directly. Readers of plain language are not children; they're people who deserve to get the point without wading through jargon.

The flag-and-ask clause turns the model into a careful collaborator that surfaces hard tradeoffs instead of silently making them for you.

⚡ Pro tip: The test of plain language isn't a readability score — it's whether your specific reader can act on the text correctly after one read. Ask the model: "Could a [busy nurse] read this once and do the right thing?" That functional test beats any syllable count, because plain language is measured by the reader's success, not the writing's simplicity.

⚡ Pro tip: Cut the throat-clearing before you cut anything else. Phrases like "it should be noted that," "in order to," and "at this point in time" add length and effort with zero meaning. Ask the model to strip filler phrases first — often that alone gets you most of the way to plain, without touching a single real idea.

Variations for Different Contexts

For a government or civic writer: "Rewrite this notice so a stressed person can understand what they must do and by when, in one read. Lead with the action, not the background." Civic plain language is about enabling action under stress.

For a product designer writing interface copy: "Make this microcopy plain for a first-time user who's mildly frustrated. Short, calm, no jargon, no cheerfulness that would annoy someone who's stuck." Tone matters as much as words in UX.

For a scientist writing for the public: "Translate this finding for a curious non-expert. Keep it accurate — don't overclaim to make it simpler — and explain one necessary term plainly rather than removing it." Science communication fails when simplification becomes distortion.

⚡ Pro tip: When a concept genuinely needs a technical term, keep the term and define it plainly once, rather than dancing around it forever. Readers can learn a word; they can't act on vague approximations. Ask the model which jargon to cut and which to keep-and-define — the answer isn't always "cut."

A Prompt for Testing on a Real Task

Plain language is measured by whether the reader can act, so the best test simulates the reader doing exactly that. This prompt runs the simulation:

Read this as [the specific reader] encountering it for the first time, in a hurry. Walk through, step by step, what you'd understand and what you'd do. Then tell me where you'd hesitate, misread, or get stuck. Don't fix it — just react.

What this does: It role-plays your actual reader attempting the actual task, surfacing the confusion points a polished read-through hides. Watching a simulated reader stumble tells you more than any score.

⚡ Pro tip: The hesitation points are your rewrite list. Wherever the simulated reader pauses, second-guesses, or misreads is precisely where real readers will fail — and those spots are usually a buried instruction or an ambiguous "it." Fix the stumbles, ignore the parts that read smoothly, and you've done plain language the efficient way.

Save and Reuse This

The improved prompt is a reusable plain-language engine with one variable you swap constantly: the specific reader. The rules — keep the meaning, respect the reader, flag necessary tradeoffs — never change, because they're what separates real plain language from dumbed-down mush.

Since plain-language work happens across everything you write — emails, docs, notices, interfaces — keeping this prompt handy pays off daily. Save your plain-language set in PromptABCD with the reader-slot marked, and every rewrite starts from clarity-that-respects-the-reader instead of "simplify this," which is how good ideas get accidentally hollowed out.