Sidekick Orchestration
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Free practical guide

Make AI Writing Sound Like You

Give Claude real examples of your writing, then get grounded drafts that use your judgment, rhythm, and words without the usual AI tells.

ForAnyone who can spot that an AI draft is wrong but is tired of rewriting it line by line.
You getA reusable voice profile and editing process that produce more natural drafts without weakening the facts or your judgment.

Why this guide exists

See the change before you build anything.

What work feels like now

The draft is polished. It still sounds like nobody you know.

  • The language is generic, formal, or full of phrases you would never say.
  • Useful examples and opinions disappear beneath smooth, empty wording.
  • You save little time because every draft needs a full rewrite.
What good looks like

Claude starts from evidence of how you actually communicate.

  • Your own emails, posts, and documents become a practical voice profile.
  • Drafts keep the source facts, audience, and decision that matter.
  • A final review removes AI habits and records only the corrections worth reusing.

Start with one prompt

Claude asks the questions, sets it up, and proves it with you.

Copy this into a new Claude conversation

One prompt runs the whole setup.

Paste this into a new Claude conversation. Claude will help choose your samples, learn your voice, build the writing guide, test it on work it has not seen, and improve one real draft. Keep using the same conversation.

Read the full prompt before copying

Guide me through building a human-writing system from interview to a tested first draft. You own the setup sequence and keep all decisions in this conversation. Do not make me copy another prompt. Use five phases: Interview, Connect, Build, Test, Run. Show the current phase and one decision at the top of each reply. Reuse known answers and keep style evidence separate from factual authority. Explain any Claude feature I may not recognize in one plain sentence. INTERVIEW Ask at most six questions, one at a time. Start by asking for five to seven writing samples I own and genuinely like. Reserve one or two samples as unseen holdouts for testing. Map: 1. My Claude surface and where the system should live: Custom Skill, Cowork folder, Project, or downloadable files. 2. The audiences, formats, decisions, and desired reader actions that matter most. 3. My point of view, directness, warmth, humour, formality, and what must never be softened or exaggerated. 4. Evidence-backed habits in structure, sentence rhythm, vocabulary, punctuation, openings, endings, examples, and calls to action. 5. Phrases, tones, AI patterns, editorial habits, and rewrites that make the work feel less like me. 6. Format-specific differences, factual sources, review boundaries, and how I will judge a strong result. Then show a concise diagnosis with cited sample evidence, five rules to preserve, five patterns to remove, format modes, conflicts between samples, unknowns, and the single most important uncertainty. Ask for one correction. AFTER I APPROVE THE DIAGNOSIS Continue through Connect, Build, Test, and Run in this conversation. Build a source manifest that labels each item Training sample, Holdout sample, Fact source, Template, or Excluded. Never imitate a third party or treat a style sample as factual authority. Build and install the package for my chosen surface. Show the file manifest and meaning-preservation rules before writing or packaging. Run all three tests without using the holdout text as a template. After a failure, repair the system and rerun the case. For the first real draft, show the source map, draft, unsupported claims, and three consequential editorial choices. Ask before publishing, replacing an approved file, or adding a new voice rule. Finish with an approved learning record, not an automatic style change.

What happens next

You answer a few short questions. Claude carries the work through these five stages and pauses when it needs your review.

What finished means

You are finished when three unseen samples keep your facts and judgment, and one real draft sounds more like you without picking up generic AI habits.

Typical setup

About 25 minutes with five to seven samples you own, then three tests and one real draft.

  1. 01Interview

    A clear map of voice, audience, judgment, and patterns to avoid.

  2. 02Connect

    Writing samples and fact sources assigned the right role.

  3. 03Build

    Your voice guide, editing rules, good examples, and change record.

  4. 04Test

    Three unseen samples passed after weak rules were fixed.

  5. 05Run

    One real draft checked against its sources and your voice.

Want the details?

Open only the stage you need. These are explanations and recovery points, not five more tasks to complete.

01

Answer a short interview

Claude learns what good work looks like for you before it builds anything.

What to expect

Paste this into a new Claude conversation. Claude will help choose your samples, learn your voice, build the writing guide, test it on work it has not seen, and improve one real draft. Keep using the same conversation.

The interview is concise and stays in one conversation. Claude reuses what you have already said, offers “Not sure” when that is a valid answer, and shows you a short blueprint before making anything.

02

Connect only the apps you need

Claude checks each required action safely and keeps a manual option when access is limited.

No connector is required. Claude should create a small source manifest and use uploaded files first. Connect a document source only when bounded access materially improves calibration, factual grounding, or destination fit.

Resume here if needed

Resume my human-writing setup at Connect using the approved diagnosis. Create a source manifest before reading more material. Label each item Training sample, Holdout sample, Fact source, Template, or Excluded. Record owner, permission, format, date, audience, authority, and any confidentiality limit. Keep holdout samples hidden from the rules until Test. Guide me through uploaded files first. If a connector would materially help, explain the exact bounded folder or document access needed and never ask for credentials in chat. Test retrieval on one named file. If unavailable, use an upload or paste fallback. Finish with the source manifest, the conflicts or gaps you found, and one correction question before Build.

Writing samples

Why
Calibrate voice from real work you own and approve.
Start safely
Use three to five strong samples from different formats. Remove confidential or third-party material that is not needed.
Proof
Every proposed voice rule points to evidence in at least one sample.

Source library

Why
Ground factual claims, offers, case studies, and terminology in current material.
Start safely
Provide a small approved folder or named files. Keep style evidence separate from factual authority.
Proof
The draft distinguishes sourced facts, your judgment, and placeholders that need confirmation.

Destination templates

Why
Respect the structure and limits of email, proposals, articles, decks, or website pages.
Start safely
Use a copy of the template and create a new draft rather than overwriting an approved asset.
Proof
The result fits the destination without flattening the voice or dropping required fields.
03

Build the reusable setup

Claude creates the instructions, examples, templates, and review rules behind the result.

Resume here if needed

Resume my human-writing setup at Build. Use the approved diagnosis and source manifest. Build for the installation path we approved. For a Custom Skill, create an installable human-writing ZIP with the folder at its root and a valid SKILL.md. For Cowork, write only inside the approved folder. For a Project, provide project instructions and exact knowledge files. Without file access, provide downloadable files and a ZIP. Create a focused package with voice modes by audience and format, evidence citations for each rule, meaning-preservation rules, fact and quote checks, anti-AI editing rules, preferred and rejected patterns, before-and-after examples, unresolved questions, holdout tests, setup instructions, and a change log. Do not include holdout wording in the training rules. Show the manifest, install plan, and the rules most likely to distort meaning first. Ask for approval before writing or packaging. After approval, create the files, validate references, guide me through enabling the package, and run one trigger smoke test. Do not invent facts, quotes, experience, results, or opinions.

human-writing/SKILL.md

Valid metadata, triggers, source handling, format selection, editing, verification, and review.

human-writing/references/voice-profile.md

Evidence-backed voice rules, format modes, examples, conflicts, and unknowns.

human-writing/references/anti-ai-rules.md

Weak patterns, diagnostic questions, stronger editorial moves, and meaning safeguards.

human-writing/references/source-manifest.md

Training, holdout, fact, template, and excluded sources with authority labels.

human-writing/examples/

Approved before-and-after examples that show the rule without flattening the writer.

human-writing/tests/calibration.md

Holdout inputs, expected traits, observed results, corrections, and rerun decisions.

human-writing/SETUP.md

Installation, trigger test, source update, disable, and removal steps.

human-writing/CHANGELOG.md

Approved voice changes tied to evidence and dated calibration results.

04

Test it before real work

Claude tries normal, incomplete, and difficult examples, then fixes what fails.

Resume here if needed

Resume my human-writing setup at Test. Confirm that the installed skill or instructions load, then reveal the reserved holdout samples only for evaluation. Run the email, proposal, and long-form cases from this guide using new source material. For each test, record: audience, purpose, facts that must survive, expected voice traits, draft, unsupported claims, observed traits, pass or fail, correction, and rerun result. Compare against the holdout evidence without copying its topic, sentences, or distinctive phrasing. Check factual fidelity, judgment, specificity, rhythm, format fit, false warmth, hype, filler, mechanical contrasts, dash-heavy punctuation, slogans, and unfinished fields. Do not use an AI detector as a quality score. After a failure, change the smallest underlying rule that explains it, add an example only when needed, increment the version, and rerun the affected case. Finish only when all three pass without erasing necessary nuance or making every format sound identical.

Short relationship email

A concise follow-up with a real decision, one commitment, and a clear next step.

Pass when

It sounds natural aloud, uses the correct facts, and avoids filler, false warmth, and invented familiarity.

Persuasive proposal section

A recommendation that needs evidence, confidence calibration, and a clear commercial point of view.

Pass when

The argument is specific and supported without hype, fake certainty, or generic benefit language.

Long-form explanation

A complex topic for a smart non-expert, using approved sources and necessary qualifiers.

Pass when

The structure is easy to follow, the rhythm varies naturally, and simplification does not erase important nuance.

05

Run it with review

You use one simple request, review the prepared work, and approve only the actions you want.

Use after setup

Use my installed human-writing system to [draft or edit] this [format] for [audience]. The point is [point], the desired reader action is [action], and the factual sources are [files or links]. Before drafting, show a short source map that separates facts, my judgment, quoted language, and missing information. Choose the relevant voice mode. Preserve necessary qualifiers and mark unsupported claims. Return the finished draft, a source check, the three editorial choices that most affected meaning or voice, and a short run receipt. Do not publish or replace an approved file. Ask before adding any correction from this job to the canonical voice profile, then record only the change I approve.

Do not call the first run complete until

  • The installed system loaded the correct audience and format mode.
  • Every factual claim, quote, result, and commitment is sourced or visibly unresolved.
  • The draft preserves the writer's judgment and necessary qualifiers.
  • The anti-AI pass improves the writing without forcing a generic house rhythm.
  • The run receipt is complete and any new voice rule was approved and recorded with evidence.

Keep control

Review the parts that matter.

  • Preserve the intended meaning and any necessary factual qualifier while editing for voice.
  • Do not use an AI detector as proof of authorship or quality. Judge the writing, evidence, and accountability directly.
  • Keep a person responsible for factual claims, quoted language, promises, and publication.