How to Use AI to Rewrite a Paragraph

To rewrite a paragraph with AI, give the model three things: the original text, what to preserve (the meaning, the key terms, a specific fact), and what to change (the length, the tone, the reading level). Without those constraints, a rewrite tends to drift away from what you actually needed.

The prompts below cover the most common rewrite goals. Tools like fenbs keep your approved style instructions as reusable skills so you do not retype your preferences for every paragraph.

The basic rewrite prompt structure

Every useful rewrite prompt has three parts: the text, what to keep, and what to change. Leaving out any of them invites the model to make its own choices, which may not match yours. A model left without constraints will rewrite in whatever direction its training suggests is "better," and that may be more formal, more hedged, or more verbose than what you need.

Rewrite this paragraph: "[paste text]". Keep: [the core meaning / these specific terms / this fact]. Change: [the tone to more direct / the length to two sentences / the reading level to plain English]. Do not add new information.

The "do not add new information" constraint is important. Without it, a model will sometimes insert plausible but invented supporting details. If you need a fact added, supply it yourself in the prompt.

Rewriting for clarity

When a paragraph is confusing, the usual problems are sentence length, buried subjects, or too many qualifications stacked in one place. Ask the model to fix a specific problem rather than to make it "clearer" in general. A specific diagnosis produces a specific fix; a vague instruction produces a different paragraph that may be equally confusing for different reasons.

Rewrite this paragraph for clarity: "[paste text]". Split any sentence longer than twenty-five words. Move the main point to the first sentence. Preserve all the factual content.

Rewrite this paragraph in plain English for a reader who is not familiar with [field]: "[paste text]". Replace technical terms with plain alternatives in [brackets] after the first use, or explain them in a short phrase. Keep the meaning exactly.

For documents that must meet a specific reading level — government communications, healthcare materials, consumer contracts — ask for the target grade level explicitly: "Rewrite this at a sixth-grade reading level." The model will aim for that even without a readability formula check.

Rewriting for length

Length rewrites work best with a specific target. "Shorter" is vague and produces inconsistent results. "Two sentences of no more than fifteen words each" is specific and gives the model a clear constraint to optimize for. The same applies to expansion: "expand to approximately 150 words" is more useful than "make this longer."

Shorten this paragraph to two sentences: "[paste text]". Keep the main point. Remove examples or qualifications if needed to reach the target length. Do not add new information.

Expand this paragraph to approximately [N] words: "[paste text]". Add context that explains why this matters to [audience]. Do not add facts I have not given you — ask me if you need more detail.

When you ask for expansion, be ready for the model to add general context rather than specific facts. Review the expanded version carefully and remove any added claims that you cannot verify or that soften the original argument.

Rewriting for tone

Tone changes are the most subjective rewrites, and the model will guess what "professional" or "friendly" means unless you are specific. Describe tone in terms of a register or audience rather than an adjective. "Write as if explaining to a first-year law student" is more actionable than "write in a professional tone."

Rewrite this paragraph in a [direct / conversational / formal] tone: "[paste text]". The reader is [describe reader]. Preserve the meaning. If the original uses technical terms, keep them.

For a tone you use regularly — client communications, internal reports, a blog — save a short example of a well-received paragraph alongside your tone instruction. Pasting an example as a model alongside the instruction gets more consistent results than describing tone in abstract terms. Concrete examples anchor the model more reliably than adjectives.

When a rewrite changes the meaning

Read every rewrite against the original before accepting it. The most common failure mode is a substitution that changes a nuance: "managed" becoming "supervised" when you were the one doing the work, or "limited success" becoming "success" when that limitation was the whole point. These changes are small enough to miss on a quick read and significant enough to matter in a professional document.

When a rewrite misses the mark, do not accept and edit. Send a correction prompt instead: "In the version you just wrote, [specific change] changed the meaning. Rewrite it again keeping [specific thing] unchanged." This produces a cleaner draft than a manual edit of an AI-generated paragraph.

Saving reusable style instructions

If you find yourself retyping the same style constraints — "plain English, fifteen-word sentences, no passive voice" — for every paragraph, save them once. A snippet manager or a notes app works for one AI tool. For rules you want available across multiple AI apps, a shared skills store keeps one version that every connected tool can read.

How to do this with fenbs

1. Create a free account and open your board.
2. In Skills and prompts, add your standard rewrite instruction as a named skill: for example, "Plain English rewrite" with your preferred constraints.
3. Connect an AI app from Integrations. At the start of a writing session, ask it to read your style skill.
4. For project-specific rules — always use active voice in this report, never exceed 25 words per sentence for this client — add them as a Decisions and rules entry in that project.
5. When you find a constraint that consistently improves your rewrites, add it to the saved skill so it applies going forward.

fenbs is not a writing editor. It keeps your style rules and project decisions so each writing session starts with the right constraints. The actual rewriting happens in whichever AI app you use. If your only goal is rewriting in one app with consistent rules, that app's own custom instructions may be enough without a separate tool.