Brand Voice LLM Stack (Multi-Client Agency)

The Problem

Generic LLM content drifts to default tone — every client's posts start to sound the same. Per-client fine-tunes cost engineering time + ongoing training spend; per-client SaaS brand-kits ($39+/brand) compound across 10-25 clients.

The Scavio Solution

Per-client voice fingerprint (1-page YAML/MD in version control) + Scavio for live-recent samples per task + LLM with fingerprint + samples in the system prompt.

Who It Is For

Content agencies servicing 5-25 clients, in-house teams managing multiple brand voices, freelancers productizing brand voice work.

Key Benefits

• Voice fingerprint version-controlled (auditable)
• Scavio surfaces live-recent samples to catch voice drift
• Reaches 85-90% of fine-tune quality at <5% the cost
• Per-client-month cost ~$1-3
• Setup amortizes across months

Python Example

import requests, os, yaml
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def compose_for_client(slug, brief):
    fp = yaml.safe_load(open(f'./brand-voices/{slug}.yaml'))
    samples = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
        json={'query': f'site:linkedin.com/in/{slug}'}).json().get('organic_results', [])[:3]
    prompt = f'Fingerprint: {fp}\nRecent samples: {samples}\nBrief: {brief}'
    return prompt  # Pass to LLM

JavaScript Example

// Same in TS.

Platforms Used