Voice Violation
Anti-slop category for missing operator perspective, over-polished tone, or writing that sounds like a vendor pitch instead of a practitioner notebook.
Voice violations are the third layer of anti-slop detection, targeting tone and perspective failures that editorial polish alone cannot fix. Key detections: missing first-person experience ("we found that" instead of "I tested this across 3 accounts"), over-polished transitions (real operator writing has rougher edges), vendor-pitch framing (positioning features as benefits without evidence), hedging avoidance (AI models rarely write "I'm not sure" or "this might not work for you"), and absent specificity (saying "significant improvement" instead of "from 12% to 34%"). The operator edit pattern applies: cut anything serving article structure (pre-announcements, consequence enumerations), add anything proving practice (anchor numbers, dominant tool names, honest hedges). Voice violations require human review because the fix depends on the author's actual experience.
Where it shows up:
Related Terms
Methodology
Anti-Slop
A 4-category quality framework that detects and eliminates AI-generated writing patterns: banned phr...
Methodology
Positive Pattern
Content quality signals that indicate genuine operator writing: specificity, experience grounding, h...
Skills Layer
Edit Content
A 44-principle editorial review skill that scores content against anti-slop rules, voice standards, ...