| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "Eva gestured vaguely [vaguely]" | | 1 | "Quinn said slowly [slowly]" | | 2 | "Eva said finally [finally]" |
| | dialogueSentences | 56 | | tagDensity | 0.411 | | leniency | 0.821 | | rawRatio | 0.13 | | effectiveRatio | 0.107 | |
| 82.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1389 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "slowly" | | 2 | "quickly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 49.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1389 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "echoed" | | 1 | "silence" | | 2 | "scanning" | | 3 | "pristine" | | 4 | "stomach" | | 5 | "scanned" | | 6 | "etched" | | 7 | "footsteps" | | 8 | "echoing" | | 9 | "trembled" |
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| 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 | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1376 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 901 | | uniqueNames | 6 | | maxNameDensity | 3.44 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 31 | | Eva | 18 | | Morris | 1 | | Margaret | 1 | | Hale | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Morris" | | 4 | "Margaret" | | 5 | "Hale" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.727 | | wordCount | 1376 | | matches | | 0 | "Not the slack peace of death, but something deliberate" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 22.56 | | std | 15.76 | | cv | 0.699 | | sampleLengths | | 0 | 12 | | 1 | 50 | | 2 | 44 | | 3 | 2 | | 4 | 46 | | 5 | 10 | | 6 | 27 | | 7 | 8 | | 8 | 50 | | 9 | 10 | | 10 | 47 | | 11 | 36 | | 12 | 5 | | 13 | 21 | | 14 | 52 | | 15 | 3 | | 16 | 14 | | 17 | 6 | | 18 | 18 | | 19 | 7 | | 20 | 46 | | 21 | 6 | | 22 | 13 | | 23 | 50 | | 24 | 8 | | 25 | 19 | | 26 | 30 | | 27 | 6 | | 28 | 12 | | 29 | 34 | | 30 | 41 | | 31 | 7 | | 32 | 4 | | 33 | 29 | | 34 | 40 | | 35 | 16 | | 36 | 29 | | 37 | 49 | | 38 | 26 | | 39 | 7 | | 40 | 45 | | 41 | 32 | | 42 | 44 | | 43 | 8 | | 44 | 12 | | 45 | 16 | | 46 | 15 | | 47 | 23 | | 48 | 15 | | 49 | 6 |
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| 91.66% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 129 | | matches | | 0 | "been dismantled" | | 1 | "been told" | | 2 | "were folded" | | 3 | "was etched" | | 4 | "been dismantled" |
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| 84.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 173 | | matches | | 0 | "was spinning" | | 1 | "was pointing" | | 2 | "was already shaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 161 | | ratio | 0.056 | | matches | | 0 | "Detective Harlow Quinn ducked under the police tape—a formality in a place like this—and stepped onto the platform." | | 1 | "Her expression was—Quinn stopped." | | 2 | "She pressed two fingers to the woman's wrist—cold, but not rigor-cold." | | 3 | "The tiles were clean—too clean." | | 4 | "But the hands themselves—Quinn leaned closer." | | 5 | "And then she saw it—a small brass object lying near the victim's left foot, half-hidden in the shadow of a pillar." | | 6 | "The face was etched with symbols she didn't recognize—not letters, not numbers." | | 7 | "She'd seen things that defied explanation—the Morris case chief among them." | | 8 | "And then she noticed something she'd missed before—a small object clutched in the woman's right hand, almost hidden by the interlaced fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03391684901531729 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010940919037199124 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 8.55 | | std | 6.57 | | cv | 0.768 | | sampleLengths | | 0 | 12 | | 1 | 18 | | 2 | 13 | | 3 | 19 | | 4 | 7 | | 5 | 13 | | 6 | 24 | | 7 | 2 | | 8 | 6 | | 9 | 20 | | 10 | 5 | | 11 | 9 | | 12 | 6 | | 13 | 4 | | 14 | 6 | | 15 | 11 | | 16 | 16 | | 17 | 4 | | 18 | 4 | | 19 | 21 | | 20 | 29 | | 21 | 5 | | 22 | 5 | | 23 | 18 | | 24 | 12 | | 25 | 4 | | 26 | 4 | | 27 | 9 | | 28 | 4 | | 29 | 9 | | 30 | 9 | | 31 | 14 | | 32 | 5 | | 33 | 14 | | 34 | 7 | | 35 | 5 | | 36 | 3 | | 37 | 2 | | 38 | 5 | | 39 | 7 | | 40 | 11 | | 41 | 16 | | 42 | 3 | | 43 | 3 | | 44 | 6 | | 45 | 8 | | 46 | 4 | | 47 | 2 | | 48 | 9 | | 49 | 9 |
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| 38.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.2857142857142857 | | totalSentences | 161 | | uniqueOpeners | 46 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 102 | | matches | | 0 | "Then it would resume its" | | 1 | "Somewhere in the tunnel, a" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 102 | | matches | | 0 | "Her boots echoed against tiles" | | 1 | "She paused to let her" | | 2 | "She walked toward the body." | | 3 | "Her eyes were open." | | 4 | "Her expression was—Quinn stopped." | | 5 | "She pressed two fingers to" | | 6 | "She checked her own watch" | | 7 | "She walked a slow circle" | | 8 | "She looked at the victim's" | | 9 | "She walked over and crouched." | | 10 | "She studied it instead." | | 11 | "She'd spent eighteen years on" | | 12 | "She'd seen things that defied" | | 13 | "She'd learned to trust evidence" | | 14 | "She walked back to the" | | 15 | "She looked at the victim's" | | 16 | "It was pointing at the" | | 17 | "She looked down the platform," | | 18 | "She turned and walked toward" |
| | ratio | 0.186 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 102 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "Her boots echoed against tiles" | | 3 | "The SOCOs had rigged arc" | | 4 | "She paused to let her" | | 5 | "Camden above was all noise" | | 6 | "The voice came from her" | | 7 | "A young woman in a" | | 8 | "Freckles across her nose and" | | 9 | "Eva tucked a strand of" | | 10 | "Quinn filed that away." | | 11 | "Eva gestured vaguely toward the" | | 12 | "Quinn didn't respond to that." | | 13 | "She walked toward the body." | | 14 | "The victim lay on her" | | 15 | "A woman in her fifties," | | 16 | "Her eyes were open." | | 17 | "Her expression was—Quinn stopped." | | 18 | "The expression was the first" | | 19 | "The woman looked peaceful." |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "Down here, the world narrowed to damp concrete, the drip of water somewhere in the dark, and the particular silence that follows violent death." | | 1 | "She'd seen things that defied explanation—the Morris case chief among them." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0 | | effectiveRatio | 0 | |