Three files that teach AI how you write and work
Your works, but the output sounds generic
By now your meeting-recap has a clear , a tested procedure, an output format, and a gotcha. If you ran it on a real transcript, the decisions, owners, and deadlines were probably correct. The voice was probably wrong: generic phrasing, safe word choices, no trace of how you write or think.
The fix is a : three small files that travel alongside your Skills and tell the AI who you are, how you communicate, and what rules always apply. These files improve every you build because the AI stops guessing and starts matching your .

about-me.md: who you are and what matters in your work
Treat this as a working briefing: your role, your team, your domain, and what 'good' looks like in your . Write it for a capable colleague who is about to start helping you and needs to understand your situation in two minutes.
# About Me
I manage a marketing team of six people at a mid-size
software company. Our customers are small business owners
who use our project management tool.
My weekly work involves campaign planning, reviewing blog
posts and case studies, and reporting results to our
VP of Marketing.
"Good" output from AI means: specific to our customers'
real problems, grounded in data when possible, written in
a direct conversational tone without buzzwords, and never
over-promising what our product can deliver.
voice-and-style.md: universal style, scoped voices, real samples
goes wrong when one file tries to carry every style decision you make. Your foundation voice-and-style.md should describe the patterns that show up in all your work: how direct you are, how much you give, how you handle uncertainty, what kinds of phrases always sound wrong. Specific voices belong in scoped Skills or style files: client follow-ups, executive updates, essays, proposals, teaching notes, or sales copy.
Start with a few universal principles and adjectives that fit your real style. Add diverse samples so the AI sees the range. Then point specialized work to scoped Skills or style documents instead of stuffing every possible voice into the .

A foundation file should hold universal style guidance and references to scoped voice files or Skills. It should not become a catalog of every tone, audience, format, and you might ever need.

# Voice and Style ## Universal Style Principles - Write in complete, flowing sentences. No clipped, hustle-culture phrasing. - Be direct, specific, and warm without pretending certainty. - When uncertain, say so plainly. No hedging with soft setup phrases. - Explain the consequence of a decision before asking for approval. ## Scoped Voice References Use this foundation file for the baseline style only. Load a scoped Skill or style file when the task needs a specific voice. - client-follow-up-style.md for post-meeting client emails - executive-update-style.md for leadership summaries - teaching-note-style.md for explanatory guides ## Banned Phrases Principle: ban phrases that make the writing sound generic, inflated, or evasive. Replace each one with the concrete action, decision, evidence, or next step. - leverage - synergy - deep dive - circle back - move the needle - it is worth noting that - it should be mentioned ## Diverse Source Samples To Add [Replace this note with several real writing samples that show your range: one short message, one internal update, one client or stakeholder note, and one paragraph from a deliverable. Keep full greetings, transitions, and sign-offs when they show your voice. Put use-case-specific samples in the scoped style file or Skill that owns that voice.]
working-rules.md: boundaries that apply to everything
An tells the AI what it can do on its own versus what needs your sign-off. These rules apply to every interaction, regardless of which is active. They are the same rules you would give any new team member on day one.
A rule that draws the line between actions the AI takes on its own and actions that require your sign-off. The AI might summarize a meeting without asking, but it should wait for your approval before sending that summary to a client or filing it in a shared folder. Approval boundaries prevent the AI from taking consequential actions without your review.
Rules that keep the AI inside the safe and useful part of the task. can limit what sources it may use, what it must ask before doing, what it must never reveal, and which actions need approval. For a meeting recap, a guardrail might say: draft the follow-up email, but do not send it.

# Working Rules
## Approval Boundaries
Principle: the AI may draft, organize, and analyze, but it
should not take consequential action or hide uncertainty.
- Always ask one clarifying question before starting a
complex task. Do not proceed on assumptions.
- Write output files to the outputs/ folder. Never modify
anything in source/ or references/.
- When working with client data, never include internal
pricing, margin notes, or competitor analysis in any
client-facing output.
- If a task requires information you do not have, say what
you need rather than guessing.
- Draft replies but never send them. Summarize meetings but
flag any action items that commit budget or schedule.
Do not put private client names, health information, financial details, or credentials in your foundation files. These files travel with your Skills and may be loaded in many contexts. Private data belongs in project-specific reference folders, not in files that apply to everything.
voice-and-style.md works when it captures the real patterns that carry across your work. If your best work is a casual, direct Slack message, paste that. If it is a formal research summary, paste that. Then decide which samples belong in the universal foundation and which belong in a scoped voice file for a specific task.
Foundation files shaped by four tasks you already repeat
voice-and-style.md carries the baseline: direct openings, clear transitions, and concrete next steps. A follow-up-email or client-follow-up-style.md carries the specific examples for that voice. working-rules.md carries the boundary: 'Never include internal pricing, margin notes, or competitor analysis in any client-facing follow-up.'
about-me.md carries about who reads the update and what they care about: 'My manager wants blockers called out explicitly, not buried in a paragraph.' working-rules.md adds the boundary: 'Flag anything that requires a decision from someone else as needs input rather than listing it as blocked.'
voice-and-style.md defines the baseline patterns the review should protect. The review Skill owns the task-specific checklist for drafts in that . working-rules.md defines the review boundaries: 'Flag anything that commits budget or schedule. Flag anything that names an internal tool or process in a client-facing document.'
about-me.md provides structural defaults: 'I use decision tables with four columns: item, owner, deadline, status.' working-rules.md adds: 'When information is ambiguous, mark it tentative rather than inventing a confident answer. Never add categories, tags, or labels that were not present in the original notes.'
Mini-project: build your three foundation files through conversation
You can create each file by having a conversation with your AI tool. Start a new conversation for each file and let AI draft it from your answers.
- Start a conversation and say: 'Interview me to build an about-me.md for my AI workflow. Ask me about my role, my team, my domain, and what good AI output looks like in my .' Answer the questions from your real situation. Review the draft AI produces.
- Start a conversation and paste several real writing samples from your actual work: a short message, an internal update, a stakeholder note, and a paragraph from a deliverable. Use the 'Interview me to build my voice-and-style.md' template below. Review the rules AI extracts from your samples and move task-specific voice rules into scoped files or Skills.
- Start a conversation and say: 'Interview me to build a working-rules.md. Ask me about boundaries the AI should always follow, things it should never do, and actions that need my approval before proceeding.' Answer from your real experience.
- Review all three files AI created. Correct anything that does not match your situation.
Your turn
Interview me to build my voice-and-style.md
You'll turn real writing samples into a reviewable voice-and-style file.
Why this exercise matters
You’ll leave with
- Universal style principles supported by your samples
- Style traits with evidence instead of generic adjectives
- Scoped voice references for task-specific styles that should live elsewhere
- A banned-phrases section tied to your actual writing standards
- A confidence note that separates strong patterns from one-off sample quirks
Use the prompt in order
- 1
Paste real samples
Replace the sample placeholders with your own writing so the assistant extracts patterns from evidence instead of inventing a personality. - 2
Review each proposed rule
Check the style principles and banned phrases against the samples because unsupported rules should not become foundation guidance. - 3
Move scoped rules out
Put task-specific voice rules in a scoped or style file so the universal file stays useful across your work.
Starter prompt text
Open the full text if you want to check what will be copied.
Show starter prompt
You are a writing-style analyst. Your job is to reverse-engineer my voice from real samples and produce a voice-and-style.md file that AI can follow when writing as me. I will paste several samples of my real writing below. These come from different contexts so you can separate what is universal from what is task-specific. **Analysis framework: examine each sample across these dimensions:** - **Sentence architecture**: average length, complexity, how I open and close paragraphs, whether I front-load the point or build to it - **Word choice**: formal vs casual register, domain-specific terms I favor, words I seem to avoid - **Transitions**: how I move between ideas (connectives, whitespace, implied logic, abrupt shifts) - **Uncertainty and disagreement**: how I hedge, qualify, push back, or express doubt - **Recurring constructions**: phrases, rhythms, or structural patterns that appear across multiple samples - **What is absent**: conventions you would expect in this kind of writing that I consistently skip (e.g., no exclamation marks, no bullet lists, no hedging qualifiers) **Output structure:** 1. **Universal Style Principles**: 5-7 rules that hold across most samples, each with the evidence that supports it 2. **Style Traits**: adjectives that describe my voice, each with a sentence-length explanation grounded in a specific sample 3. **Scoped Voice References**: task-specific voices that should live in separate Skills or style files (e.g., client emails vs. internal notes vs. public writing) 4. **Banned Phrases**: words or constructions that violate the principles, sound unlike me, or make the writing generic, inflated, or evasive. Each ban should name the principle it violates. 5. **Confidence notes**: which patterns are strongly supported across samples and which might be artifacts of one context. If any proposed rule rests on thin evidence, flag it and ask me for another sample before committing to it. If the samples are too similar or too thin to support a universal rule, interview me: ask what kind of writing sample would fill the gap, rather than guessing. Here are my samples: SAMPLE 1: Replace this line with your first writing sample. SAMPLE 2: Replace this line with your second writing sample. SAMPLE 3: Replace this line with your third writing sample. SAMPLE 4: Replace this line with your fourth writing sample.
What the answer should give you
You should receive a draft voice-and-style.md with supported style principles, sample-backed traits, scoped voice notes, banned phrases with reasons, and a confidence note about which patterns are broadly supported.
You now have a with strong instructions, a tested description, and an identity layer that shapes every result. The next chapter shows how to turn the corrections you make during real use into permanent improvements.



