Content Style Constraints

Content constraints and scope restrictions define what the model says. Style constraints define how it says it — word choice, sentence structure, voice, tone, and formatting habits.

Style constraints are important because even perfectly accurate content can fail if delivered in the wrong voice. A technical manual written in casual slang, or a friendly app copy written in legal English, creates friction for the reader.

Jargon exclusion is one of the most commonly needed style constraints:

• "No jargon — write for a reader with no technical background."
• "Avoid marketing jargon like 'synergy', 'leverage', 'disrupt'."
• "No medical terminology — use plain language equivalents."
• "No acronyms unless spelled out on first use."

Be specific about which type of jargon to avoid. Saying just "no jargon" is ambiguous — technical jargon and marketing jargon are very different, and the model may only suppress one.

Passive voice makes writing weaker and harder to scan. You can restrict it explicitly:

• "Use active voice throughout. No passive constructions."
• "Write every instruction as an active imperative: 'Click the button', not 'The button should be clicked'."

Models understand passive voice well enough to honor this constraint reliably, especially if you provide an example of the pattern you want. Active voice is the default for most good instructional and marketing writing.

AI models are trained on enormous amounts of internet text and tend to reproduce common clichés. You can block specific ones:

• "Avoid clichés like 'game-changer', 'cutting-edge', 'best-in-class', 'revolutionary'."
• "Do not use sports metaphors."
• "Avoid 'in today's fast-paced world' and similar scene-setting openers."

Listing clichés explicitly is more effective than just saying "avoid clichés" — what counts as a cliché is subjective, but a specific list gives the model no ambiguity.

Models default to bullet points for many types of content. Sometimes you need flowing prose instead:

• "Do not use bullet points or numbered lists. Write in continuous paragraphs."
• "Prose only — no lists, no headers, no bold text."
• "Write as a single unbroken narrative, no structural formatting."

This constraint is particularly useful for essays, long-form articles, narrative explanations, and any content where lists would feel fragmented or clinical.

Voice constraints set the grammatical person of the output:

• "Write in first person ('I believe...', 'I recommend...')."
• "Write in second person ('You should...', 'Your next step is...')."
• "Write in third person and avoid 'I' or 'you'."
• "Use 'we' throughout — this is from the company's perspective."

Person constraints are especially important for ghostwriting, brand voice, and instructional content where the wrong pronoun breaks the reader relationship.

You can constrain reading level explicitly:

• "Write at a Grade 6 reading level — short sentences, simple vocabulary."
• "Use a reading level appropriate for a college-educated professional."
• "Explain as if to a 10-year-old."

The "explain to a 10-year-old" pattern is particularly effective — it is more reliable than specifying grade levels because grade levels vary by country and the model interprets the persona more concretely than an abstract number.

Style constraints are most powerful when set in the system prompt, so they apply consistently across all responses:

Beyond voice and vocabulary, you can constrain sentence structure directly:

• "Keep sentences under 20 words."
• "No sentences longer than one clause — no semicolons or compound sentences."
• "Vary sentence length — mix short punchy sentences with longer explanatory ones."
• "Start each section with a one-sentence summary, then elaborate."

Sentence structure constraints are particularly useful for mobile copy, where screen space is limited, and for accessibility writing, where complex syntax creates reading barriers.

For high-stakes content (legal, medical, brand), a forbidden words list is more reliable than categorical constraints:

"Do not use any of the following words or phrases: guarantee, promise, ensure, prevent, cure, eliminate risk, 100%, always, never."

This is explicit enough that the model can reliably honor it. Categorical constraints like "no legal claims" are too subjective. The model may not agree on which words constitute a legal claim, but a word list has no ambiguity.

Multiple style constraints can be stacked effectively when they are compatible. A typical brand voice style block might include:

"Active voice. Second person. No jargon. No bullet points. No clichés (list: game-changer, revolutionary, seamless). Sentences under 20 words. Conversational, not corporate."

Stack with a numbered or bulleted list in the prompt itself for clarity — even though you are restricting bullets in the output, a bulleted constraint list in the prompt is fine and easier to read.

You are writing prompts for a children's educational app for ages 8-12. Every explanation should be clear, engaging, and accessible. You want to avoid passive voice, technical jargon, and overly long sentences.

Which style constraint set is most complete and effective?

Style constraints control how the model communicates, not just what it says. The core patterns are: no jargon, active voice, avoid clichés, no bullet points, first/second/third person, sentence length limits, and forbidden word lists.

The most reliable style systems encode constraints in the system prompt as a numbered list, combine positive instructions (use active voice) with negative ones (no passive), and use concrete anchors (like "explain to a 10-year-old") rather than abstract descriptors.

Next, you will learn to combine multiple constraints without creating conflicts.