| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "Quinn said slowly [slowly]" |
| | dialogueSentences | 49 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.143 | | effectiveRatio | 0.082 | |
| 74.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1391 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "barely above a whisper" | | 4 | "very" |
| |
| 60.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1391 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoed" | | 1 | "dance" | | 2 | "etched" | | 3 | "magnetic" | | 4 | "trembled" | | 5 | "eyebrow" | | 6 | "weight" | | 7 | "quickened" | | 8 | "furrowed" | | 9 | "whisper" | | 10 | "pulse" | | 11 | "processed" | | 12 | "sinister" | | 13 | "tracing" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1393 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 891 | | uniqueNames | 15 | | maxNameDensity | 3.14 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 28 | | Camden | 1 | | Jubilee | 1 | | Mills | 3 | | Morris | 2 | | Eastern | 1 | | Europe | 1 | | Polish | 1 | | Eva | 12 | | Kowalski | 2 | | Veil | 1 | | Market | 1 | | Marcus | 1 | | Chen | 1 | | London | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Camden" | | 2 | "Mills" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Marcus" | | 7 | "Chen" |
| | places | | 0 | "Eastern" | | 1 | "Europe" | | 2 | "London" |
| | globalScore | 0 | | windowScore | 0 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like ash and bone fragments had be" | | 1 | "looked like a very special compass" | | 2 | "quite remember what they'd seen" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1393 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 129 | | matches | | 0 | "filed that observation" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 22.84 | | std | 15.87 | | cv | 0.695 | | sampleLengths | | 0 | 56 | | 1 | 30 | | 2 | 52 | | 3 | 40 | | 4 | 6 | | 5 | 19 | | 6 | 42 | | 7 | 46 | | 8 | 12 | | 9 | 5 | | 10 | 15 | | 11 | 36 | | 12 | 25 | | 13 | 8 | | 14 | 35 | | 15 | 57 | | 16 | 9 | | 17 | 29 | | 18 | 5 | | 19 | 31 | | 20 | 8 | | 21 | 21 | | 22 | 23 | | 23 | 25 | | 24 | 7 | | 25 | 21 | | 26 | 5 | | 27 | 3 | | 28 | 39 | | 29 | 9 | | 30 | 32 | | 31 | 4 | | 32 | 13 | | 33 | 17 | | 34 | 30 | | 35 | 5 | | 36 | 6 | | 37 | 46 | | 38 | 17 | | 39 | 38 | | 40 | 30 | | 41 | 14 | | 42 | 13 | | 43 | 14 | | 44 | 20 | | 45 | 25 | | 46 | 7 | | 47 | 12 | | 48 | 35 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 32.12% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 129 | | ratio | 0.039 | | matches | | 0 | "Twenty feet below street level, the air tasted of mildew and something else — incense, maybe, or burnt herbs." | | 1 | "Three years since Morris died in a place like this — another abandoned station, another case that made no sense." | | 2 | "The man wore expensive clothes — designer jeans, leather boots that cost more than her monthly car payment." | | 3 | "But not just any compass — the face was etched with strange symbols, and the needle pointed steadily west despite the metal tracks that should have thrown off any magnetic reading." | | 4 | "But there was something else too — the way her gaze kept drifting past Quinn toward the platform, as if drawn by an invisible thread." |
| |
| 81.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 894 | | adjectiveStacks | 1 | | stackExamples | | 0 | "revealing graffiti-covered tiles" |
| | adverbCount | 49 | | adverbRatio | 0.05480984340044743 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.015659955257270694 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 10.8 | | std | 7.19 | | cv | 0.666 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 19 | | 3 | 12 | | 4 | 7 | | 5 | 11 | | 6 | 8 | | 7 | 19 | | 8 | 20 | | 9 | 5 | | 10 | 14 | | 11 | 10 | | 12 | 6 | | 13 | 10 | | 14 | 6 | | 15 | 19 | | 16 | 5 | | 17 | 18 | | 18 | 8 | | 19 | 11 | | 20 | 2 | | 21 | 31 | | 22 | 13 | | 23 | 8 | | 24 | 4 | | 25 | 3 | | 26 | 2 | | 27 | 15 | | 28 | 19 | | 29 | 6 | | 30 | 11 | | 31 | 15 | | 32 | 2 | | 33 | 8 | | 34 | 8 | | 35 | 18 | | 36 | 17 | | 37 | 3 | | 38 | 9 | | 39 | 20 | | 40 | 25 | | 41 | 9 | | 42 | 4 | | 43 | 25 | | 44 | 5 | | 45 | 31 | | 46 | 4 | | 47 | 4 | | 48 | 21 | | 49 | 3 |
| |
| 78.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4728682170542636 | | totalSentences | 129 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 85 | | matches | | 0 | "Too many for a simple" | | 1 | "Too many inconsistencies, too many" | | 2 | "Instead, her hand had moved" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 85 | | matches | | 0 | "His voice echoed off the" | | 1 | "She pushed the memory aside." | | 2 | "she asked Mills" | | 3 | "His right hand clutched something" | | 4 | "She pulled on latex gloves" | | 5 | "She clutched a worn leather" | | 6 | "She fumbled in her satchel" | | 7 | "She kept tucking the same" | | 8 | "They walked back to the" | | 9 | "She paused at the platform" | | 10 | "Her brow furrowed behind her" | | 11 | "she said quietly" | | 12 | "She'd found her confidence now," | | 13 | "She turned back to Eva." | | 14 | "She glanced around at the" | | 15 | "Her voice dropped to barely" | | 16 | "Her dead urban explorer carrying" | | 17 | "She thought of Morris again," | | 18 | "They looked almost like the" | | 19 | "She had a feeling this" |
| | ratio | 0.235 | |
| 65.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 85 | | matches | | 0 | "Detective Quinn ducked under the" | | 1 | "The beam of her torch" | | 2 | "Sergeant Mills said, leading her" | | 3 | "His voice echoed off the" | | 4 | "Quinn's boots splashed through puddles" | | 5 | "The leather watch on her" | | 6 | "She pushed the memory aside." | | 7 | "The platform opened before them," | | 8 | "Forensics had already begun their" | | 9 | "Quinn counted twelve people, maybe" | | 10 | "she asked Mills" | | 11 | "Quinn crouched beside the body." | | 12 | "The man wore expensive clothes" | | 13 | "His right hand clutched something" | | 14 | "She pulled on latex gloves" | | 15 | "The casing felt warm against" | | 16 | "A young constable appeared at" | | 17 | "Quinn's jaw tightened." | | 18 | "Quinn followed the constable back" | | 19 | "She clutched a worn leather" |
| | ratio | 0.788 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 85 | | matches | | 0 | "Now here was another death" | | 1 | "Because if Eva Kowalski was" |
| | ratio | 0.024 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "She kept tucking the same strand of hair behind her left ear, a nervous gesture that spoke of genuine distress." | | 1 | "But there was something else too — the way her gaze kept drifting past Quinn toward the platform, as if drawn by an invisible thread." | | 2 | "Too many inconsistencies, too many witnesses who couldn't quite remember what they'd seen." |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "the woman said, her accent carrying hints of Eastern Europe" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Eva continued (continue)" |
| | dialogueSentences | 49 | | tagDensity | 0.163 | | leniency | 0.327 | | rawRatio | 0.125 | | effectiveRatio | 0.041 | |