Adapting Tone of Voice
Given source content + target audience/channel, produce an adapted version that preserves the core message but shifts tone, vocabulary, sentence structure, and formatting conventions to fit the audience.
Example request: "Adapt this product description for a Gen Z Instagram audience" → shorter sentences, casual lexicon, emoji where appropriate, direct address, no corporate jargon.
Progress:
- Step 1: Identify source style (formal/informal, genre, existing ToV)
- Step 2: Define target profile (audience demographics, platform norms, brand voice if given)
- Step 3: Extract invariant content (facts, CTAs, key claims that must survive adaptation)
- Step 4: Build a style map (lexicon, sentence length, person/POV, humor level, formality, formatting)
- Step 5: Rewrite content per style map
- Step 6: Verify invariant content is intact and no meaning was lost or distorted
- Step 7: Self-check against audience — would this read naturally for them?
Step details
Step 1 — Source style diagnosis: note formality level, sentence complexity, idioms, technical density, POV (1st/2nd/3rd person), emotional register.
Step 2 — Target profile: capture explicit instructions (e.g. "friendly but expert," "luxury brand," "teen slang") or infer from stated audience (age, role, platform like LinkedIn vs TikTok, language register).
Step 3 — Invariant extraction: list non-negotiable facts, numbers, legal/compliance phrases, CTA — these must not be altered in meaning.
Step 4 — Style map (write explicitly before rewriting, don't skip):
- Formality: formal / neutral / casual
- Sentence length: short (<12 words) / medium / long
- Vocabulary: technical / plain / slang
- POV: "we," "you," third-person
- Tone markers: humor, urgency, warmth, authority
- Formatting: bullets vs prose, emoji use, headers
Step 5-6: rewrite, then diff mentally against the invariant list.
Example 1: Input: "Our enterprise solution leverages advanced machine learning algorithms to optimize operational efficiency across your organization." (target: small business owners, casual newsletter) Output: "Our tool uses smart AI to help your business run smoother — less busywork, more time for what matters."
Example 2: Input: "Купи сейчас и получи скидку 20%!" (target: премиальный B2B email, formal tone) Output: "Оформите заказ до конца недели — мы предусмотрели для вас специальные условия сотрудничества со скидкой 20%."
Example 3: Input: Technical API documentation paragraph (target: marketing landing page for non-technical founders) Output: Replace jargon with benefit-driven language, add a one-line analogy, cut sentence length by half, add a bolded takeaway.
- Always build the style map explicitly before rewriting — don't adapt "by feel" alone.
- Preserve facts, numbers, and legal language verbatim or functionally equivalent.
- Match platform conventions (hashtags for Instagram, no emoji for legal/finance).
- When a brand voice guide exists, quote its exact adjectives (e.g. "bold, warm, no-nonsense") and check each sentence against them.
- Keep one adaptation consistent throughout — don't mix registers mid-text.
- If audience is multilingual/cultural, consider connotation shifts, not just literal translation.
- Changing facts or softening/exaggerating claims while "simplifying" tone.
- Overcorrecting — turning casual into unprofessional, or formal into stiff/robotic.
- Ignoring platform norms (long paragraphs on Twitter/X, overly casual tone in regulated industries).
- Applying slang/emoji inauthentically for an audience that doesn't use it — sounds forced.
- Forgetting to re-check CTA clarity after tone shift — adapted text should still prompt the same action.