| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1167 | | 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) | |
| 44.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1167 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "navigating" | | 2 | "cataloged" | | 3 | "maw" | | 4 | "vibrated" | | 5 | "dancing" | | 6 | "weight" | | 7 | "pulsed" | | 8 | "velvet" | | 9 | "gleaming" | | 10 | "flicker" | | 11 | "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 | 1 | | narrationSentences | 65 | | matches | | |
| 54.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1157 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1155 | | uniqueNames | 17 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 10 | | Tomás | 8 | | Herrera | 1 | | Brixton | 1 | | Northern | 2 | | Line | 2 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Tube | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Line" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" | | 8 | "Market" | | 9 | "Police" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a parasite wrapped around the" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1157 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 72.92% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 57.85 | | std | 23.44 | | cv | 0.405 | | sampleLengths | | 0 | 83 | | 1 | 81 | | 2 | 51 | | 3 | 9 | | 4 | 34 | | 5 | 75 | | 6 | 82 | | 7 | 76 | | 8 | 75 | | 9 | 41 | | 10 | 84 | | 11 | 26 | | 12 | 70 | | 13 | 20 | | 14 | 76 | | 15 | 49 | | 16 | 57 | | 17 | 28 | | 18 | 61 | | 19 | 79 |
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| 83.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 65 | | matches | | 0 | "was supposed" | | 1 | "was connected" | | 2 | "were severed" | | 3 | "being hunted" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 179 | | matches | | 0 | "was tailing" | | 1 | "wasn't letting" | | 2 | "was already descending" | | 3 | "was pleading" | | 4 | "was walking" | | 5 | "was chasing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 65 | | ratio | 0.123 | | matches | | 0 | "He didn't run like a common crook; he bolted." | | 1 | "She thought of DS Morris—of the way he had just ceased to exist, stripped away from reality in a heartbeat of impossible cold." | | 2 | "Tomás didn't hesitate; he tore a jagged, pale object from his satchel—a bone token—and jammed it into a narrow slot near a graffiti-stained doorway." | | 3 | "The sounds of the city—the distant sirens, the hum of traffic—were severed as if by a blade." | | 4 | "He moved toward a hive of activity where the shadows seemed to fold inward, populated by figures that didn't move quite right—heads turning too slowly, limbs shifting with the disjointed cadence of broken clocks." | | 5 | "The police—her police—would look at the maps of the Northern Line and see empty tunnels." | | 6 | "The same smell—that ozone, the ozone of a blown fuse and crushed flowers." | | 7 | "For a flicker of an instant, she saw the silhouette of a man standing near the edge—a shape that shifted and blurred, a man who might have been Morris, if death hadn't claimed him three years ago." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1174 | | adjectiveStacks | 1 | | stackExamples | | 0 | "humid, amber-lit haze." |
| | adverbCount | 32 | | adverbRatio | 0.027257240204429302 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007666098807495741 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 17.8 | | std | 8.76 | | cv | 0.492 | | sampleLengths | | 0 | 31 | | 1 | 24 | | 2 | 28 | | 3 | 19 | | 4 | 16 | | 5 | 10 | | 6 | 36 | | 7 | 8 | | 8 | 23 | | 9 | 17 | | 10 | 3 | | 11 | 9 | | 12 | 18 | | 13 | 16 | | 14 | 22 | | 15 | 16 | | 16 | 19 | | 17 | 18 | | 18 | 23 | | 19 | 34 | | 20 | 25 | | 21 | 22 | | 22 | 24 | | 23 | 30 | | 24 | 6 | | 25 | 21 | | 26 | 7 | | 27 | 11 | | 28 | 17 | | 29 | 13 | | 30 | 5 | | 31 | 25 | | 32 | 11 | | 33 | 20 | | 34 | 34 | | 35 | 30 | | 36 | 11 | | 37 | 15 | | 38 | 10 | | 39 | 15 | | 40 | 7 | | 41 | 15 | | 42 | 23 | | 43 | 7 | | 44 | 13 | | 45 | 5 | | 46 | 16 | | 47 | 21 | | 48 | 24 | | 49 | 10 |
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| 35.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3076923076923077 | | totalSentences | 65 | | uniqueOpeners | 20 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 23.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 65 | | matches | | 0 | "She kept her head down," | | 1 | "She kept her distance, an" | | 2 | "He was moving with a" | | 3 | "She checked the worn leather" | | 4 | "It was just past two" | | 5 | "He looked over his shoulder," | | 6 | "He saw her." | | 7 | "He didn't run like a" | | 8 | "she barked, her voice cutting" | | 9 | "He gave no reply, ducking" | | 10 | "She reached into her coat" | | 11 | "She wanted him alive, specifically" | | 12 | "She thought of DS Morris—of" | | 13 | "She remembered the official report," | | 14 | "She pressed her face to" | | 15 | "She had seen the files," | | 16 | "It was a tumor of" | | 17 | "He moved toward a hive" | | 18 | "She stood at the threshold," | | 19 | "Her training yelled at her" |
| | ratio | 0.492 | |
| 6.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 65 | | matches | | 0 | "The rain in London did" | | 1 | "She kept her head down," | | 2 | "She kept her distance, an" | | 3 | "He was moving with a" | | 4 | "She checked the worn leather" | | 5 | "It was just past two" | | 6 | "Quinn rounded the corner and" | | 7 | "Tomás reached up to touch" | | 8 | "He looked over his shoulder," | | 9 | "He saw her." | | 10 | "He didn't run like a" | | 11 | "Quinn surged forward, the soles" | | 12 | "she barked, her voice cutting" | | 13 | "He gave no reply, ducking" | | 14 | "Quinn pivoted, her sharp jaw" | | 15 | "She reached into her coat" | | 16 | "She wanted him alive, specifically" | | 17 | "She thought of DS Morris—of" | | 18 | "She remembered the official report," | | 19 | "The entrance to the abandoned" |
| | ratio | 0.908 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "If Tomás was connected to" |
| | ratio | 0.015 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 12 | | matches | | 0 | "The rain in London did not fall so much as it materialized, a freezing, microscopic mist that clung to Harlow Quinn’s coat and turned the pavement into a slick,…" | | 1 | "She kept her distance, an easy fifty yards, moving with the practiced, predatory grace of a woman who had spent nearly two decades navigating the city’s concret…" | | 2 | "He gave no reply, ducking into the maw of an alleyway that led toward the industrial dereliction of the old Tube entrance." | | 3 | "If Tomás was connected to the same necrotic shadow that had taken her partner, she wasn't letting him disappear into the dark without a fight." | | 4 | "In their place came a rhythmic, low-frequency thrum that vibrated in her marrow." | | 5 | "Tomás was already descending the stairs, his silhouette dancing against the flickering bioluminescent lichen that clung to the tunnel walls." | | 6 | "He moved toward a hive of activity where the shadows seemed to fold inward, populated by figures that didn't move quite right—heads turning too slowly, limbs sh…" | | 7 | "They wouldn't see the sprawling, impossible bazaar that pulsed with a life force that felt like a parasite wrapped around the city’s heart." | | 8 | "He tapped a glass vial that rattled with human teeth." | | 9 | "He was pleading with someone, his hands gesturing wildly, the scar on his left forearm gleaming in the harsh, flickering lamplight." | | 10 | "For a flicker of an instant, she saw the silhouette of a man standing near the edge—a shape that shifted and blurred, a man who might have been Morris, if death…" | | 11 | "The figure raised a hand, pointing toward the tunnels, then dissolved into a plume of gray ash that drifted upward into the stagnant air." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |