π― Expert Mode: The "Executive Voice Print"
Scenario: You ghostwrite for an executive, and every AI draft comes back generic. You need a reusable voice profile you can paste into any prompt, hand to any writer, and carry to any tool.
Instructions:
1οΈβ£ Gather 3 to 5 writing samples your executive actually wrote or heavily edited. Bylines, all-hands emails, LinkedIn posts, board memos. Interview transcripts count too, and they are often the most honest source you have.
2οΈβ£ Open a fresh chat and paste this:
You are a voice analyst. Below are writing samples from [NAME], [TITLE] at [COMPANY]. Build a Voice Print: a reusable profile another writer could use to draft in their voice.
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Analyze for sentence length and rhythm, how they open a piece, vocabulary tics they reach for repeatedly, words and constructions they never use, pronoun habits ("I" versus "we" versus passive voice), how they handle uncertainty and bad news, how they assign credit, and any signature structures like lists, one-line paragraphs, or callbacks.
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Output three things. First, 8 to 10 rules written as instructions a writer could follow. Second, 3 verbatim sentences from the samples that best exemplify the voice. Third, 3 counterfeit sentences you invent that sound close but wrong, with a line on what gives each one away.
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Work only from what is in the samples. If a pattern appears only once, say so rather than promoting it to a rule.
[PASTE SAMPLES]
3οΈβ£ Read the rules out loud and cross out anything that describes good writing in general rather than this person specifically. "Uses clear language" is noise. "Opens with the objection before the argument" is signal.
4οΈβ£ Test it. Pick a topic they have never written about, paste the Voice Print and ask for 200 words. Send it to them without context and ask one question: Does this sound like you?
5οΈβ£ Save the surviving Voice Print somewhere you can reach in five seconds. Every future draft starts by pasting it in.
Suggested Tool: Claude (handles long samples without losing the thread, and it is strong at pattern extraction across multiple documents)
Why You'll Love It
- It replaces "make it sound more executive" with rules a model can actually follow.
- The approval loop gets shorter, because the first draft already lands closer to right.
- It's portable. Hand it to a new writer, a new agency, or a new tool and the voice survives the handoff.
Voice is the last thing AI can't guess at, because it lives in the choices your executive makes without noticing. Write those choices down once, and you stop rebuilding them from scratch on every single draft.
Talk soon,
Chris
β‘ The Cowork Version
Same idea, except Claude reads the whole archive itself and leaves a finished profile in your folder.
Setup (one time):
- Make a folder for your executive and drop in everything you have: bylines, all-hands emails, board memos, keynote transcripts, LinkedIn exports.
- Include material you know a team ghostwrote. Claude needs the contrast to tell the real voice from the house voice.
- Optional: connect Google Drive, Notion, or Slack so it can pull the rest without you having to download anything.
Run this Cowork command:
Build a Voice Print for [NAME], [TITLE] at [COMPANY], using the material in this folder.
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1οΈβ£ Read every document and sort them into what [NAME] almost certainly wrote, what a team almost certainly drafted, and what you cannot tell. Show me your reasoning on the uncertain ones and ask before you use them.
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2οΈβ£ Extract voice patterns from the confirmed samples only: sentence rhythm, openers, vocabulary tics, forbidden words, pronoun habits, how they handle bad news, how they assign credit.
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3οΈβ£ Map where the voice shifts by context, internal versus external and crisis versus launch, and where it holds constant no matter the audience.
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4οΈβ£ Write Voice Print - [NAME].md to this folder with 8 to 10 rules, 3 verbatim exemplar sentences, and 3 counterfeit sentences showing what close but wrong sounds like.
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5οΈβ£ Draft a 200-word test piece on a topic they have never covered, using only the Voice Print, and save it as Voice Test - [NAME].md next to the profile so I can check your work.
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6οΈβ£ Save a short Voice Print - Sources.md listing which documents you treated as authentic and which you set aside, with one line of reasoning each.
What you'll get:
- A
Voice Print - [NAME].md file that works in any tool, any chat, and any agency relationship you hand it to
- A context map showing how the voice flexes between internal and external writing
- A test draft ready for the "does this sound like you" gut check, written before you ask for anything real
- A source log separating what your executive actually wrote from what was written for them, which is quietly useful on its own
Want it on autopilot? Ask Claude to save the Voice Print as a skill. Every future draft request pulls it in automatically, and you re-run the whole build once a quarter as new writing accumulates.
Talk soon,
Chris
Here are a few articles from the past week to help keep you up to speed:
1. How to Capture an Executive's Voice on the Pageβ
Caliber
August 10, 2026
Aaron Enneking makes the case for building a documented voice profile before you ghostwrite a single word. The advice hits differently now that most first drafts start in a chat window. If you can't describe how your CEO actually sounds, the model will hand you back the average of every executive who has ever published a byline.
2. How Disclosure Language Influences Retail Investor Attention When AI Writes for AI to Readβ
CommPRO
August 10, 2026
Ruoyi Huang digs into what happens when corporate disclosures are drafted with AI and then consumed by AI on the other end. She calls it the "AI Loop." For IR and corporate comms teams, it's the first serious look at writing for two audiences at once, and the tradeoffs are not the ones you'd guess.
3. Crisis Communications In The Synthetic Media Age: Proof As Part Of The Messageβ
Forbes Communications Council
August 6, 2026
The argument is blunt: a denial is no longer a response. When a convincing fake can be produced in minutes, your statement has to include verifiable proof, not sit next to it. Worth reading before your next tabletop exercise, because most crisis playbooks still quietly assume video counts as evidence.
4. KPMG Says Nearly Half Of Executives Pulled Back AI Agents Over Costβ
Forbes
August 9, 2026
KPMG's Q2 Global AI Pulse found that nearly half of executives have scaled back agent deployments because costs have outpaced benefits. The comms read: the internal story about AI is about to shift from expansion to justification, and someone will be asked to write it. Probably you.
5. A new book looks at how AI is rewiring the newsroom, for better and worseβ
Nieman Journalism Lab
August 6, 2026
Seth C. Lewis reviews "Journalism in the Age of AI," which maps AI across five stages of news production: ideation, sourcing, verification, storytelling, and distribution. Read it as a map of how the reporter you're pitching is actually working right now.