| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn knelt again [again]" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.1 | | effectiveRatio | 0.069 | |
| 95.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1034 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 41.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1034 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoed" | | 1 | "chill" | | 2 | "scanned" | | 3 | "flickered" | | 4 | "etched" | | 5 | "perfect" | | 6 | "weight" | | 7 | "blown wide" | | 8 | "pulse" | | 9 | "silence" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1016 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 25.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 761 | | uniqueNames | 7 | | maxNameDensity | 2.5 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Tube | 1 | | Victorian | 1 | | October | 2 | | Doyle | 15 | | Quinn | 19 | | Morris | 1 |
| | persons | | 0 | "Victorian" | | 1 | "Doyle" | | 2 | "Quinn" | | 3 | "Morris" |
| | places | | | globalScore | 0.252 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.953 | | wordCount | 1016 | | matches | | 0 | "not at a wall or exit, but in open air three feet from any surface" | | 1 | "not with drugs, but with something" | | 2 | "not ceiling but sky" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 19.17 | | std | 15.02 | | cv | 0.784 | | sampleLengths | | 0 | 49 | | 1 | 16 | | 2 | 13 | | 3 | 26 | | 4 | 21 | | 5 | 38 | | 6 | 32 | | 7 | 6 | | 8 | 8 | | 9 | 24 | | 10 | 38 | | 11 | 5 | | 12 | 37 | | 13 | 5 | | 14 | 6 | | 15 | 2 | | 16 | 6 | | 17 | 59 | | 18 | 6 | | 19 | 41 | | 20 | 5 | | 21 | 47 | | 22 | 16 | | 23 | 13 | | 24 | 1 | | 25 | 25 | | 26 | 3 | | 27 | 4 | | 28 | 11 | | 29 | 22 | | 30 | 3 | | 31 | 27 | | 32 | 3 | | 33 | 5 | | 34 | 3 | | 35 | 36 | | 36 | 35 | | 37 | 13 | | 38 | 9 | | 39 | 15 | | 40 | 48 | | 41 | 18 | | 42 | 6 | | 43 | 11 | | 44 | 6 | | 45 | 33 | | 46 | 12 | | 47 | 20 | | 48 | 3 | | 49 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 94 | | ratio | 0.128 | | matches | | 0 | "His hands were bare, dirt-caked, and empty—except for his right palm, which clutched a small brass disc." | | 1 | "The stall had sold nothing—no goods, no cash box—just charred books with spines in languages that made her molars ache." | | 2 | "Not in dirt—there was no dirt here, only concrete and rust." | | 3 | "She examined the victim’s neck—no ligature, no wounds—then his eyes, which stared upward with pupils blown wide, not with drugs, but with something that had seen too far." | | 4 | "On the wall behind the stall, someone had scratched numbers—dates, perhaps—then scratched them out with violent strokes." | | 5 | "The air changed there—denser, tasting of ozone and old iron." | | 6 | "One was missing, revealing not ceiling but sky—black sky with wrong stars." | | 7 | "“He came here for something specific.” Quinn’s voice stayed flat, analytical, but her eyes—dark, tired—scanned every shadow." | | 8 | "“I think evidence is evidence.” Quinn knelt again, examining the dead man’s shoes—mud from three different postcodes, none near Camden." | | 9 | "Quinn stood, her military posture rigid, her mind running tracks she hadn’t wanted to run since Morris died three years ago in a room that had smelled exactly like this—copper, sugar, and wrongness." | | 10 | "Quinn’s gaze held his—brown, hard, carrying eighteen years of authority and three years of buried grief that had taught her the world had hidden floors." | | 11 | "Quinn climbed into the October night, the compass heavy and warm in her pocket, its needle already turning—pulling her north, toward answers that lived in shadow." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 779 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.038510911424903725 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007702182284980745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 10.81 | | std | 8.77 | | cv | 0.811 | | sampleLengths | | 0 | 19 | | 1 | 6 | | 2 | 24 | | 3 | 16 | | 4 | 13 | | 5 | 10 | | 6 | 16 | | 7 | 2 | | 8 | 19 | | 9 | 9 | | 10 | 12 | | 11 | 17 | | 12 | 2 | | 13 | 23 | | 14 | 7 | | 15 | 6 | | 16 | 2 | | 17 | 6 | | 18 | 4 | | 19 | 20 | | 20 | 3 | | 21 | 15 | | 22 | 20 | | 23 | 5 | | 24 | 11 | | 25 | 26 | | 26 | 5 | | 27 | 6 | | 28 | 2 | | 29 | 2 | | 30 | 4 | | 31 | 9 | | 32 | 31 | | 33 | 19 | | 34 | 3 | | 35 | 3 | | 36 | 2 | | 37 | 11 | | 38 | 28 | | 39 | 5 | | 40 | 8 | | 41 | 17 | | 42 | 4 | | 43 | 18 | | 44 | 4 | | 45 | 12 | | 46 | 4 | | 47 | 9 | | 48 | 1 | | 49 | 10 |
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| 48.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.30851063829787234 | | totalSentences | 94 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Then she saw the footprints." | | 1 | "Then she pointed to the" |
| | ratio | 0.032 | |
| 84.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 62 | | matches | | 0 | "She pulled her coat collar" | | 1 | "She scanned the archway ahead," | | 2 | "His coat was expensive wool," | | 3 | "His hands were bare, dirt-caked," | | 4 | "She walked the perimeter, her" | | 5 | "Her voice cut low" | | 6 | "He shuffled closer, flashlight sweeping" | | 7 | "She knelt, her brown eyes" | | 8 | "She pulled latex gloves from" | | 9 | "She examined the victim’s neck—no" | | 10 | "She touched the wall." | | 11 | "She pulled her notebook." | | 12 | "She pried his fingers open" | | 13 | "She pocketed the compass." | | 14 | "She held up a hand." | | 15 | "She walked the tunnel’s mouth," | | 16 | "She came back." | | 17 | "She opened the compass with" | | 18 | "She closed it." | | 19 | "She walked to Doyle, close" |
| | ratio | 0.339 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 62 | | matches | | 0 | "Quinn pushed past the yellow" | | 1 | "The rusted tracks disappeared into" | | 2 | "She pulled her coat collar" | | 3 | "Sergeant Doyle waited near the" | | 4 | "Doyle’s breath misted" | | 5 | "She scanned the archway ahead," | | 6 | "The victim lay crumpled beside" | | 7 | "His coat was expensive wool," | | 8 | "His hands were bare, dirt-caked," | | 9 | "The disc was a compass," | | 10 | "Verdigris stained the casing like" | | 11 | "Doyle barked a laugh." | | 12 | "Quinn ignored him." | | 13 | "She walked the perimeter, her" | | 14 | "The stall had sold nothing—no" | | 15 | "These footprints glowed faintly, phosphorescent" | | 16 | "Her voice cut low" | | 17 | "He shuffled closer, flashlight sweeping" | | 18 | "She knelt, her brown eyes" | | 19 | "The footprints were human-sized, but" |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 7 | | matches | | 0 | "She pulled her coat collar high against the chill that had nothing to do with October." | | 1 | "She scanned the archway ahead, where arc lights flickered with sick, greenish light that belonged to no maintenance crew." | | 2 | "His hands were bare, dirt-caked, and empty—except for his right palm, which clutched a small brass disc." | | 3 | "The stall had sold nothing—no goods, no cash box—just charred books with spines in languages that made her molars ache." | | 4 | "The brass was warm now, alive with a pulse that matched her own heartbeat if she listened close." | | 5 | "Quinn’s gaze held his—brown, hard, carrying eighteen years of authority and three years of buried grief that had taught her the world had hidden floors." | | 6 | "She turned, her coat swinging, and walked back toward the stairwell, leaving Doyle with the body and the darkness and the knowledge that some dead ends were jus…" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "She knelt, her brown eyes tracking the pattern" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0 | | effectiveRatio | 0 | |