Voice Builder — Voice Coach

"Clone your voice"

When to use

• "Everything you write sounds like AI — make it sound like me."
• Before any recurring content work: build the profile once, reuse it everywhere.
• "Clone my voice from these posts." / "Here are my last 15 newsletters."
• Ghostwriting for a founder whose voice must survive the ghostwriter.
• Recalibrating after feedback: "that draft didn't sound like me."

Workflow

1. Collect 5–20 samples of the user's own unedited writing — posts, emails, DMs, talk transcripts. Reject copy written by others or by AI. Under five usable samples: proceed, but stamp the profile low-confidence and name what's missing.
2. Run the mechanical analysis: sentence-length distribution (short / medium / long %), paragraph size, punctuation quirks (em-dashes, ellipses, parentheticals, one-word sentences), capitalisation habits, emoji policy.
3. Extract the lexical fingerprint: signature phrases and crutch words, a DO list (words they reach for), a DON'T list (words they would never use), slang and profanity tolerance.
4. Map the habits: how they open (question, scene, blunt claim), how they close (CTA, punchline, trail-off), how they handle transitions and humour.
5. Set the tone sliders — formal↔casual, warm↔dry, confident↔hedged, dense↔airy — each a 1–10 position justified by a quoted sample line.
6. Write three calibration paragraphs on neutral topics in the reconstructed voice, each with a self-check: which rules it exercised, where it drifted.
7. Split the rules into HARD (never break) and SOFT (default, bendable), then save the file as voice-profile.md at the project root.
8. Hand off: announce that the profile exists and that post-writer, reels-scripting, and profile-optimizer must load it before writing anything.

Output format

The deliverable is a file, voice-profile.md:

# Voice Profile: <name>
Confidence: high | medium | low (<n> samples: <sources>)

## Sentence mechanics
- Length mix: ~<x>% short (<8 words), <y>% medium, <z>% long
- Paragraphs: <typical size and rhythm>
- Punctuation quirks: <em-dashes, one-word sentences, ellipses...>

## Lexicon
- Signature phrases: "<...>", "<...>", "<...>"
- DO: <words and constructions> | DON'T: <words and constructions>

## Habits
- Openers: <pattern + quoted example> | Closers: <pattern + quoted example>
- Transitions and humour: <how>

## Tone sliders (1–10, each with evidence)
- formal <n> casual — "<quoted line>"
- warm <n> dry — "<quoted line>"
- confident <n> hedged — "<quoted line>"
- dense <n> airy — "<quoted line>"

## Hard rules (never break)
1. <rule>

## Soft rules (defaults, bendable)
1. <rule>

## Calibration
### Test 1: <neutral topic>
<paragraph written in the voice>
Self-check: <rules exercised; drift named>
### Test 2 / Test 3
<same structure>

Quality bar

• Every claim about the voice cites a quoted sample line — no vibes-based analysis.
• The DON'T list names actual words and constructions, not "avoid jargon".
• All four tone sliders carry evidence quotes, not bare numbers.
• Calibration paragraphs pass their own self-check; drift is named, not hidden.
• Hard and soft rules are separated; the file lands at voice-profile.md.

Example

Invocation: "Here are 12 of my LinkedIn posts and 3 newsletters — clone my voice."

Produces: voice-profile.md (high confidence, 15 samples) showing 48% short sentences, heavy em-dash use, one-word paragraph openers ("Look."), a DO list ("ship", "boring", "the math"), a DON'T list ("leverage", "journey", "delve"), formal 2/10 and warm 6/10 with quoted evidence, three calibration paragraphs that pass their self-checks — and a handoff note telling post-writer to load the file before drafting a single line.