AI Ghostwriter: Match Any Author's Writing Style with Fine-Tuning

AI Content That Actually Sounds Like You

Generic AI content is easy to spot — it all sounds the same. The Ghostwriter analyzes your existing writing samples and learns your vocabulary preferences, sentence structure patterns, and stylistic quirks to produce content that's indistinguishable from your own.

Training Your Voice Profile

Upload 5-10 writing samples (blog posts, emails, documents). The AI extracts your style fingerprint — average sentence length, vocabulary complexity, tone markers, and formatting preferences.

import vincony

client = vincony.Client(api_key="YOUR_API_KEY")

# Create a voice profile from writing samples
profile = client.ghostwriter.create_profile(
    name="My Blog Voice",
    samples=[
        open("blog-post-1.md").read(),
        open("blog-post-2.md").read(),
        open("blog-post-3.md").read(),
    ],
    style_notes="I tend to use short paragraphs, rhetorical questions, and technical analogies"
)

print(f"Style fingerprint: {profile.analysis}")
# Avg sentence length: 14 words, Flesch-Kincaid: 8.2
# Tone: conversational-technical, Vocabulary: advanced
# Patterns: rhetorical questions (frequent), em dashes (moderate)

Generating Content in Your Voice

Once trained, use your voice profile with any prompt. The AI applies your style constraints while generating the requested content — whether it's a blog post, email, or tweet thread.

# Write in your trained voice
draft = client.ghostwriter.write(
    profile_id=profile.id,
    topic="Why we migrated from REST to GraphQL",
    content_type="blog_post",
    length="1500_words",
    model="gpt-4o"
)

print(draft.content)
print(f"Style match score: {draft.style_score}%")  # 94%

Multi-Author Support

Agencies and content teams can maintain multiple voice profiles. Switch between client voices instantly, ensuring every piece of content matches the right brand.

Pricing

1 voice profile on the Free plan. Unlimited profiles with style analytics on Pro and Enterprise.