| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1429 | | 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) | |
| 93.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1429 | | totalAiIsms | 2 | | found | | | highlights | | 0 | "absolutely" | | 1 | "structure" |
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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 | 97 | | matches | (empty) | |
| 98.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1444 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1401 | | uniqueNames | 23 | | maxNameDensity | 0.64 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Street" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 9 | | Brewer | 1 | | Street | 4 | | Raven | 1 | | Nest | 2 | | Herrera | 4 | | Wardour | 1 | | Oxford | 2 | | Tottenham | 1 | | Court | 1 | | Road | 2 | | Saint | 1 | | Christopher | 1 | | Camden | 4 | | Underground | 3 | | Deptford | 1 | | Morris | 3 | | Confirmed | 1 | | God | 2 | | Whitechapel | 1 | | November | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" | | 8 | "God" |
| | places | | 0 | "Soho" | | 1 | "Brewer" | | 2 | "Street" | | 3 | "Wardour" | | 4 | "Oxford" | | 5 | "Tottenham" | | 6 | "Court" | | 7 | "Road" | | 8 | "Camden" | | 9 | "Deptford" | | 10 | "Whitechapel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1444 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 38 | | std | 25.98 | | cv | 0.684 | | sampleLengths | | 0 | 78 | | 1 | 54 | | 2 | 49 | | 3 | 20 | | 4 | 63 | | 5 | 2 | | 6 | 27 | | 7 | 11 | | 8 | 81 | | 9 | 60 | | 10 | 76 | | 11 | 52 | | 12 | 34 | | 13 | 50 | | 14 | 5 | | 15 | 45 | | 16 | 12 | | 17 | 47 | | 18 | 14 | | 19 | 96 | | 20 | 31 | | 21 | 12 | | 22 | 54 | | 23 | 59 | | 24 | 18 | | 25 | 11 | | 26 | 38 | | 27 | 43 | | 28 | 5 | | 29 | 27 | | 30 | 70 | | 31 | 14 | | 32 | 17 | | 33 | 56 | | 34 | 83 | | 35 | 17 | | 36 | 8 | | 37 | 5 |
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| 87.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 97 | | matches | | 0 | "being hunted" | | 1 | "been taught" | | 2 | "was frightened" | | 3 | "was gone" | | 4 | "been sealed" |
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| 82.53% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 227 | | matches | | 0 | "was still closing" | | 1 | "wasn't heading" | | 2 | "was slowing" | | 3 | "was slowing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 100 | | ratio | 0.09 | | matches | | 0 | "Light spilled, then a figure — and she knew him before she'd registered a single feature, knew him by the way he came out of a room, checking left first, always left, a habit that belonged to men who'd spent time being hunted." | | 1 | "He turned left, walked twenty paces, and then — Quinn saw it happen, saw the exact instant — his shoulders changed." | | 2 | "Men who ran usually ran toward something — a vehicle, a flat, a mate's sofa." | | 3 | "She got within twenty metres of him at the canal bridge and shouted again and heard her own voice come out ragged, and he glanced back — once — and she saw his face properly for the first time." | | 4 | "And beyond it, down, a set of stairs, and coming up those stairs — she felt it more than saw it — a light that was not the colour of any light she knew." | | 5 | "And Morris — who had a wife and a bad knee and a laugh like a drain — had said don't be soft, and gone in." | | 6 | "They had never, in three years, found a single thing that made any sense, and when she'd written up what she'd heard through that door — the sound, the impossible bloody sound of it — a superintendent had looked at her with enormous kindness and suggested she take some leave." | | 7 | "Down the stairs, the strange light shifted, and a shadow crossed it — too tall, or the angle was wrong, or her eyes were full of rain." | | 8 | "Quinn crouched, put the torch on it, and looked at a token of yellowed bone the size of a coin, carved with a mark she'd seen once before — inked on the inside of a dead girl's wrist, in a mortuary in Whitechapel, last November." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1391 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.027318475916606758 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007189072609633357 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 14.44 | | std | 12.37 | | cv | 0.856 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 36 | | 3 | 5 | | 4 | 18 | | 5 | 19 | | 6 | 12 | | 7 | 6 | | 8 | 43 | | 9 | 2 | | 10 | 1 | | 11 | 7 | | 12 | 10 | | 13 | 19 | | 14 | 21 | | 15 | 23 | | 16 | 2 | | 17 | 21 | | 18 | 6 | | 19 | 3 | | 20 | 5 | | 21 | 3 | | 22 | 47 | | 23 | 22 | | 24 | 5 | | 25 | 7 | | 26 | 36 | | 27 | 15 | | 28 | 3 | | 29 | 6 | | 30 | 6 | | 31 | 16 | | 32 | 15 | | 33 | 39 | | 34 | 9 | | 35 | 36 | | 36 | 4 | | 37 | 3 | | 38 | 34 | | 39 | 3 | | 40 | 8 | | 41 | 39 | | 42 | 5 | | 43 | 7 | | 44 | 32 | | 45 | 6 | | 46 | 12 | | 47 | 4 | | 48 | 16 | | 49 | 27 |
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| 59.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.43 | | totalSentences | 100 | | uniqueOpeners | 43 | |
| 74.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 89 | | matches | | 0 | "Of course he didn't stop." | | 1 | "Then the tube station, then" |
| | ratio | 0.022 | |
| 44.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 89 | | matches | | 0 | "She'd been there two hours." | | 1 | "Her feet had passed through" | | 2 | "He had a canvas satchel" | | 3 | "He turned left, walked twenty" | | 4 | "He'd clocked the reflection in" | | 5 | "She was out of the" | | 6 | "He didn't stop." | | 7 | "He was fast, and he" | | 8 | "He went right onto Wardour" | | 9 | "She ran the way she'd" | | 10 | "Her lungs began to burn" | | 11 | "He wasn't heading for a" | | 12 | "He crossed against the lights" | | 13 | "She filed it." | | 14 | "He was slowing." | | 15 | "She got within twenty metres" | | 16 | "He wasn't frightened of her." | | 17 | "He was frightened, absolutely, a" | | 18 | "It was something closer to" | | 19 | "He turned off the road" |
| | ratio | 0.438 | |
| 77.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 89 | | matches | | 0 | "The rain had been falling" | | 1 | "Water ran along the gutters" | | 2 | "Detective Harlow Quinn stood in" | | 3 | "She'd been there two hours." | | 4 | "Her feet had passed through" | | 5 | "The watch on her left" | | 6 | "The door of the Nest" | | 7 | "Light spilled, then a figure" | | 8 | "A file three inches thick" | | 9 | "He had a canvas satchel" | | 10 | "He turned left, walked twenty" | | 11 | "He'd clocked the reflection in" | | 12 | "She was out of the" | | 13 | "He didn't stop." | | 14 | "Nobody ever stopped." | | 15 | "He was fast, and he" | | 16 | "He went right onto Wardour" | | 17 | "A cyclist swerved and shouted." | | 18 | "A group of students scattered," | | 19 | "She ran the way she'd" |
| | ratio | 0.764 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 36.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 7 | | matches | | 0 | "Light spilled, then a figure — and she knew him before she'd registered a single feature, knew him by the way he came out of a room, checking left first, always…" | | 1 | "He had a canvas satchel across his body and he held it the way you hold something that matters." | | 2 | "He was fast, and he was younger, and he knew the streets like a man who'd worked them with a green bag over his shoulder for six years, knew which alleys had bi…" | | 3 | "Men who ran usually ran toward something — a vehicle, a flat, a mate's sofa." | | 4 | "Then the tube station, then past it, then the long grim run up toward Camden with the rain coming harder and the traffic thinning and her heart going like a fis…" | | 5 | "They had never, in three years, found a single thing that made any sense, and when she'd written up what she'd heard through that door — the sound, the impossib…" | | 6 | "She stepped over the threshold and the water came up over her ankle, shockingly cold, and the rain-noise cut off behind her as though someone had closed a lid." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |