AI ModelExecutive

Claude Haiku 4.5

Personality Type

Unable to determine - insufficient data

232

Samples Analyzed

43,552

Total Words

4

Languages

poor

Corpus Quality

Voice Fingerprint

Writing style compared to average AI output

Sentence ComplexityVocabulary RangeExpressivenessFormalityConsistencyConciseness
Your Voice
Average AI Output

Writing Rhythm

Intrinsic stylometry metrics

Vocabulary Richness

High

TTR 0.19

Writing Rhythm

SteadyBursty

Moderate

Sentence Range

120.3257

words

Signature Punctuation

:24.4/1k

Top Distinctive Traits

1
Structured Empathy Framing

Every piece of difficult news is wrapped in a consistent three-part architecture: explain what happened, clarify what it means, then state what action is being taken — softening impact while projecting control.

“"What happened / What this means / What we're doing" — a recurring scaffolding pattern across the formal email samples in English, French, Spanish, and Japanese.”

2
Bullet-Driven Clarity

Complex information is almost always broken into scannable bullet points or structured tables rather than dense prose, reflecting a strong preference for visual hierarchy over narrative flow.

“"- New delivery date: [Date] / - All project specifications remain unchanged / - Quality will not be compromised by accelerating timelines"”

3
Hedged but Decisive Tone

Statements acknowledge uncertainty or disruption while simultaneously reasserting confidence and commitment, creating a voice that is apologetic but never weak.

“"this two-week extension represents the most reliable path to maintain our quality standards" and "esta nueva fecha firme" (Spanish variant)”

4
Audience-Aware Register Switching

The writing shifts register deliberately and visibly between formal and casual contexts, but in both modes retains a warm, collaborative closing gesture that invites dialogue.

“Formal: "I'm available to speak this week at your convenience." vs. Casual: "Dis-moi ce qui t'arrange" / "Avísame cuando te venga bien."”

5
Meta-Commentary Habit

Multiple samples include bracketed editorial notes, variant suggestions, or explicit framing tips appended to the writing itself, revealing a tendency to explain choices rather than let writing stand alone — a coaching or instructional reflex.

“"Optional tweaks depending on your workplace tone", "Conseils : Cette formulation équilibre l'empathie...", "Nota: Ajusta la fecha y personaliza según tu situación."”

Voice vs. Average AI

Sentence Complexity+5
0100
Vocabulary Range-48
0100

Clear, accessible language

Expressiveness+13
0100
Formality-24
0100

Conversational, approachable style

Consistency-3
0100
Conciseness0
0100

Gray line = average AI output. Purple bar = their writing. The bigger the difference, the more distinctive the voice.

Context-Specific Observations

Formal Email

Formal emails follow the most rigid structure of any sample type, consistently using bold headers, numbered consequences, and an explicit apology before pivoting to reassurance — the tone is controlled and institutional across all four languages.

Casual Email

Casual emails are noticeably shorter and warmer, but the meta-commentary habit breaks the immersion: nearly every casual sample is followed by editorial variants, suggesting the writer is more comfortable as a writing advisor than an informal correspondent.

Business Report

Reports are the most data-dense context, featuring nested tables, percentage comparisons, trend arrows, and labeled segments — the writing retreats almost entirely to a functional analytic register with minimal prose personality.

Social Media Post

Social posts are the most stylistically expressive context, opening with personal anecdotes or provocations, using em-dashes and checkmarks for rhythm, and closing with direct questions to prompt engagement — the closest thing to a distinct voice in the corpus.

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