| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said carefully [carefully]" |
| | dialogueSentences | 31 | | tagDensity | 0.452 | | leniency | 0.903 | | rawRatio | 0.071 | | effectiveRatio | 0.065 | |
| 74.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1165 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "loosely" | | 1 | "carefully" | | 2 | "very" | | 3 | "slightly" |
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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) | |
| 74.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1165 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "methodical" | | 1 | "silence" | | 2 | "etched" | | 3 | "weight" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1170 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 922 | | uniqueNames | 9 | | maxNameDensity | 1.74 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Camden | 1 | | Constable | 1 | | Marsh | 7 | | Victorian | 1 | | Sharma | 3 | | Kowalski | 5 | | Whitechapel | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Sharma" | | 2 | "Kowalski" | | 3 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "Constable" | | 2 | "Marsh" | | 3 | "Whitechapel" |
| | globalScore | 0.632 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like something denser" | | 1 | "something like it once before, three years a" | | 2 | "inn's tone had apparently surprised her — the" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.564 | | wordCount | 1170 | | matches | | 0 | "not scraped away, not foot-trafficked, but absent" | | 1 | "not foot-trafficked, but absent" | | 2 | "not the ordinary shock of a civilian confronted with death, but recognition" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 27.21 | | std | 25.43 | | cv | 0.934 | | sampleLengths | | 0 | 50 | | 1 | 47 | | 2 | 3 | | 3 | 55 | | 4 | 7 | | 5 | 31 | | 6 | 7 | | 7 | 79 | | 8 | 17 | | 9 | 52 | | 10 | 7 | | 11 | 10 | | 12 | 49 | | 13 | 7 | | 14 | 35 | | 15 | 40 | | 16 | 5 | | 17 | 5 | | 18 | 9 | | 19 | 5 | | 20 | 3 | | 21 | 8 | | 22 | 98 | | 23 | 13 | | 24 | 67 | | 25 | 24 | | 26 | 42 | | 27 | 3 | | 28 | 36 | | 29 | 13 | | 30 | 4 | | 31 | 83 | | 32 | 3 | | 33 | 5 | | 34 | 5 | | 35 | 65 | | 36 | 52 | | 37 | 7 | | 38 | 25 | | 39 | 52 | | 40 | 14 | | 41 | 12 | | 42 | 16 |
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| 85.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 71 | | matches | | 0 | "was crouched" | | 1 | "was curled" | | 2 | "been logged" | | 3 | "been scoured" | | 4 | "was prepared" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 87 | | ratio | 0.103 | | matches | | 0 | "Below, the abandoned platform opened up in fragments of torchlight — curved Victorian brickwork, the ghost of a station name still visible beneath decades of grime, broken tiles arranged on the ground like fallen teeth." | | 1 | "She made herself walk the perimeter first, flashlight playing across every surface with methodical patience — the military bearing her old training officer had drilled into her, and that she'd never quite shaken." | | 2 | "His right hand was curled loosely around something, and whatever it was had already been logged and bagged by Sharma — a small object, brass-coloured, sitting in an evidence bag near his knee." | | 3 | "Even through the plastic, she could see the verdigris patina on the casing, and the faint markings on the face — not compass points, not numbers." | | 4 | "She looked at the two ends of the station, both sealed with heavy brick and board, both entirely undisturbed — no disturbed mortar, no fresh marks, no other ingress." | | 5 | "It lay thickly everywhere except for a patch near the north end of the platform — not scraped away, not foot-trafficked, but absent." | | 6 | "\"Yes.\" Kowalski glanced at the body, and something moved through her face — not the ordinary shock of a civilian confronted with death, but recognition." | | 7 | "\"This is a Veil compass. Shade-made, by the sigils. It's attuned to supernatural rifts.\" She said it the way someone said a difficult word in a foreign language — careful, braced for disbelief." | | 8 | "Something in Quinn's tone had apparently surprised her — the absence of dismissal." |
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| 98.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 919 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.041349292709466814 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011969532100108813 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 13.45 | | std | 10.27 | | cv | 0.764 | | sampleLengths | | 0 | 32 | | 1 | 18 | | 2 | 19 | | 3 | 12 | | 4 | 16 | | 5 | 3 | | 6 | 16 | | 7 | 4 | | 8 | 35 | | 9 | 7 | | 10 | 11 | | 11 | 20 | | 12 | 7 | | 13 | 7 | | 14 | 33 | | 15 | 31 | | 16 | 1 | | 17 | 7 | | 18 | 10 | | 19 | 7 | | 20 | 15 | | 21 | 4 | | 22 | 33 | | 23 | 7 | | 24 | 10 | | 25 | 9 | | 26 | 26 | | 27 | 2 | | 28 | 1 | | 29 | 11 | | 30 | 7 | | 31 | 35 | | 32 | 6 | | 33 | 5 | | 34 | 29 | | 35 | 5 | | 36 | 5 | | 37 | 9 | | 38 | 5 | | 39 | 3 | | 40 | 8 | | 41 | 21 | | 42 | 5 | | 43 | 4 | | 44 | 23 | | 45 | 18 | | 46 | 27 | | 47 | 13 | | 48 | 25 | | 49 | 23 |
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| 70.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.47126436781609193 | | totalSentences | 87 | | uniqueOpeners | 41 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Then she picked up the" |
| | ratio | 0.016 | |
| 99.37% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 63 | | matches | | 0 | "He had a torch strapped" | | 1 | "She pulled on nitrile gloves" | | 2 | "She wanted to see all" | | 3 | "She made herself walk the" | | 4 | "She'd felt something like it" | | 5 | "She didn't let herself follow" | | 6 | "His right hand was curled" | | 7 | "She reached for the bag" | | 8 | "she agreed, setting it down" | | 9 | "She looked at the platform." | | 10 | "She looked at the two" | | 11 | "It lay thickly everywhere except" | | 12 | "She was still staring at" | | 13 | "Her curly red hair fell" | | 14 | "She said it the way" | | 15 | "She stood and turned toward" | | 16 | "She looked at the circle." | | 17 | "She looked at the compass." | | 18 | "She thought about a back" |
| | ratio | 0.302 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 63 | | matches | | 0 | "The call had come at" | | 1 | "He had a torch strapped" | | 2 | "Quinn descended the ladder one-handed," | | 3 | "The walls sweated moisture." | | 4 | "The body was at the" | | 5 | "She pulled on nitrile gloves" | | 6 | "The forensics officer, Sharma, was" | | 7 | "She wanted to see all" | | 8 | "She made herself walk the" | | 9 | "The platform was sealed off" | | 10 | "The kind you felt in" | | 11 | "She'd felt something like it" | | 12 | "She didn't let herself follow" | | 13 | "The victim was male, early" | | 14 | "His right hand was curled" | | 15 | "Quinn crouched beside Sharma" | | 16 | "She reached for the bag" | | 17 | "she agreed, setting it down" | | 18 | "Quinn looked at the body" | | 19 | "She looked at the platform." |
| | ratio | 0.857 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 63 | | matches | | 0 | "Now she stood at the" | | 1 | "Even through the plastic, she" |
| | ratio | 0.032 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 7 | | matches | | 0 | "The call had come at half past two in the morning, and Quinn had driven through Camden's rain-slicked streets with the particular alertness of someone who had n…" | | 1 | "The platform was sealed off from the rest of the tunnel system at both ends, thick with a silence that wasn't just the absence of sound but felt like something …" | | 2 | "The victim was male, early forties, wearing a well-made coat that had seen better days." | | 3 | "The figure who descended moved with a careful, deliberate urgency that Quinn recognised as the gait of someone trying very hard not to look frightened." | | 4 | "Small, red-haired, wearing a coat two sizes too large and carrying a worn leather satchel that sagged with the weight of its contents." | | 5 | "She thought about a back alley in Whitechapel three years ago, and a sound like air tearing, and DS Morris stepping toward something that should not have been t…" | | 6 | "Then she picked up the evidence bag, turned it over in her hand, and felt the particular, settled weight of a case that had just become far more complicated tha…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 85.48% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "she agreed (agree)" | | 1 | "Marsh confirmed (confirm)" |
| | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.222 | | effectiveRatio | 0.129 | |