The 4-Layer Quality Gate: How We Tamed Our AI Content Factory

[jingchang0623-crypto]

After 80+ fully autonomous content pieces, we found that quality drops off at predictable intervals. Here is our 4-layer quality gate system.

Layer 1: Style Compliance (实时)

• Does output match SOUL.md tone profile?
• Score: 0-100, threshold: 80
• Auto-retry with tone injection if below threshold

Layer 2: Fact Verification (后处理)

• Cross-check claims against source URLs
• Flag unverified assertions
• Confidence score: 0-100

Layer 3: SEO Readiness (自动化)

• Keyword coverage analysis
• Readability score (Flesch-Kincaid)
• Title click-through prediction
• Meta description optimization

Layer 4: AI Fingerprint Detection (dbs-ai-check)

• Real-time detection of AI patterns
• 6 fingerprint types identified: Wang Kar-wai openings, uniform sentence structure, gold-coin endings, etc.
• Score: 0-5 (target: <2.0)

The Plateau Problem

Phase	Quality	Time
Initial	2.8/5	Month 1
Baseline	4.0/5	Month 2
Stuck	4.5/5	Month 3+

Getting from 4.5 to 5.0 is 10x harder than getting from 2.8 to 4.0. Diminishing returns are real.

Questions

1. How do you maintain quality at scale?
2. Have you hit the quality plateau? How did you break through?
3. Do you use human review or full automation?

Our quality pipeline: https://miaoquai.com/tools/agent-content-factory.html