AI-Powered Credit Repair Intelligence
3,100+ line autonomous system using Claude Sonnet 4.5. Analyzing credit reports in 30 seconds instead of 4 hours.
🚀 Production Deployed
🧠 Claude Sonnet 4.5
⚖️ FCRA Compliant
🔬 Dog-Fooding Phase
3,100+
Lines of AI Code
Production deployed
29
Reports Processed
Real credit data
270K+
Tokens Analyzed
First 3 days
19
AI Analyses
Complete validations
11
Active Tradelines
$18.5K analyzed
30s
Analysis Time
vs. 4+ hours manual

The Problem We're Solving

Credit report analysis is brutal: 4+ hours per client, requires deep FCRA expertise, error-prone, and expensive ($1,500-3,000 for traditional services). SENTINEL does it in 30 seconds with AI precision.

🧠

Autonomous Intelligence

1,400-line AI engine powered by Claude Sonnet 4.5. Self-learning feedback loop improves recommendations with every analysis. Persistent memory across sessions via Model Context Protocol.

⚖️

Legal Arsenal

1,100-line comprehensive legal knowledge base: 15 federal statutes, 16 case citations, 8 CFPB enforcement actions. Every recommendation includes FCRA citations and compliance verification.

🎯

Adaptive Strategy

600-line strategy engine with 9-factor deletion probability model. Adaptive escalation logic, cross-bureau leverage detection, and creditor-specific tactics based on verification behavior.

📊

Intelligence Profiles

10 creditor intelligence profiles tracking document quality and deletion rates. 3 bureau profiles monitoring e-OSCAR behavior and MOV compliance. Data-driven recommendations.

🔄

Self-Learning System

Tracks strategy outcomes in production database. Adjusts future recommendations based on actual deletion rates. Learns which tactics work for which creditors and bureaus.

💬

Commander Interface

Conversational AI with full credit history context. Ask questions like "Why is this priority 3?" or "What's my timeline to 700?" Claude explains every recommendation.

Production Architecture

AI Model Claude Sonnet 4.5
Compute Cloudflare Workers
Database Supabase (60+ tables)
Memory MCP (38 tools)
Frontend SvelteKit 2 + Svelte 5
Deployment Cloudflare Pages
// Real Production API Integration
const response = await fetch('https://api.anthropic.com/v1/messages', {
method: 'POST',
headers: {
'x-api-key': env.ANTHROPIC_API_KEY,
'anthropic-version': '2023-06-01',
'content-type': 'application/json'
},
body: JSON.stringify({
model: 'claude-sonnet-4-5-20250929',
max_tokens: 16384,
messages: conversationHistory
})
});

// Real Metrics (First 3 Days):
// - 19 complete analyses
// - 270,742 tokens processed
// - 10,463 avg input tokens
// - 3,786 avg output tokens
// - $1.68 total cost
// - $0.50/analysis average

Why Dog-Fooding?

Credit repair requires legal precision — one bad recommendation violates FCRA. I'm using SENTINEL on my own credit repair (11 tradelines, 3 bureaus, $18.5K debt) to prove the system works with real consequences before risking customer data. Early validation: 29 reports processed, 19 complete analyses, zero failures. Claude's legal reasoning validated for production use.

Building the Future of Credit Repair

SENTINEL is currently in internal testing. We're proving the concept with real credit data before launching to beta users in Q2 2026. Powered by Claude Sonnet 4.5, built to be productized, ready to scale.