| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1498 | | 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) | |
| 56.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1498 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "standard" | | 1 | "familiar" | | 2 | "velvet" | | 3 | "glinting" | | 4 | "fluttered" | | 5 | "pulsed" | | 6 | "rhythmic" | | 7 | "silence" | | 8 | "shattered" | | 9 | "flickered" | | 10 | "intensity" |
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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 | 111 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1483 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1291 | | uniqueNames | 20 | | maxNameDensity | 1.47 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Greek | 1 | | Street | 1 | | London | 1 | | Soho | 1 | | Morris | 3 | | Camden | 1 | | Quinn | 19 | | Market | 1 | | Tube | 1 | | Silas | 1 | | Bar | 1 | | Raven | 2 | | Nest | 2 | | Herrera | 1 | | Saint | 2 | | Christopher | 2 | | Glock | 1 | | Tomás | 6 | | Spanish-inflected | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Morris" | | 2 | "Quinn" | | 3 | "Silas" | | 4 | "Raven" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Glock" | | 9 | "Tomás" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "London" | | 3 | "Soho" | | 4 | "Bar" |
| | globalScore | 0.764 | | windowScore | 0.5 | |
| 64.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he’d been stitched together f" | | 1 | "looked like it" | | 2 | "sounded like dry leaves skittering across" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.674 | | wordCount | 1483 | | matches | | 0 | "Not the vibration of a passing train, but the shudder of something waking up" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 26.02 | | std | 19.26 | | cv | 0.74 | | sampleLengths | | 0 | 47 | | 1 | 3 | | 2 | 83 | | 3 | 32 | | 4 | 49 | | 5 | 24 | | 6 | 2 | | 7 | 62 | | 8 | 10 | | 9 | 56 | | 10 | 46 | | 11 | 1 | | 12 | 16 | | 13 | 5 | | 14 | 13 | | 15 | 12 | | 16 | 8 | | 17 | 52 | | 18 | 47 | | 19 | 23 | | 20 | 15 | | 21 | 65 | | 22 | 21 | | 23 | 52 | | 24 | 32 | | 25 | 2 | | 26 | 35 | | 27 | 5 | | 28 | 31 | | 29 | 24 | | 30 | 45 | | 31 | 3 | | 32 | 9 | | 33 | 32 | | 34 | 2 | | 35 | 15 | | 36 | 7 | | 37 | 4 | | 38 | 32 | | 39 | 13 | | 40 | 48 | | 41 | 12 | | 42 | 23 | | 43 | 34 | | 44 | 32 | | 45 | 16 | | 46 | 31 | | 47 | 46 | | 48 | 3 | | 49 | 46 |
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| 86.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 111 | | matches | | 0 | "been stitched" | | 1 | "was made" | | 2 | "been transformed" | | 3 | "was huddled" | | 4 | "being pulled" | | 5 | "been carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 225 | | matches | | 0 | "was talking" | | 1 | "was walking" | | 2 | "was shrinking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 132 | | ratio | 0.053 | | matches | | 0 | "The gate didn't just open; it dissolved." | | 1 | "She thought of the way his eyes had looked when they found him three years ago—wide, terrified, and staring at something no medical examiner could name." | | 2 | "It was made of polished ivory—or something that looked like it." | | 3 | "It was Silas's Bar—the Raven's Nest—or at least a subterranean outpost of it." | | 4 | "The air inside didn't just feel cold; it felt heavy, like she was walking into deep water." | | 5 | "Shadows detached themselves from the walls—long, spindly things with too many joints." | | 6 | "It moved toward Quinn, its fingers—if they were fingers—scraping against the floorboards with a dry, rhythmic click-clack." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 848 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.018867924528301886 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00589622641509434 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 11.23 | | std | 6.85 | | cv | 0.61 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 3 | | 3 | 4 | | 4 | 25 | | 5 | 3 | | 6 | 22 | | 7 | 6 | | 8 | 3 | | 9 | 9 | | 10 | 11 | | 11 | 16 | | 12 | 13 | | 13 | 3 | | 14 | 18 | | 15 | 7 | | 16 | 15 | | 17 | 9 | | 18 | 5 | | 19 | 19 | | 20 | 2 | | 21 | 5 | | 22 | 2 | | 23 | 24 | | 24 | 5 | | 25 | 26 | | 26 | 10 | | 27 | 8 | | 28 | 26 | | 29 | 12 | | 30 | 10 | | 31 | 24 | | 32 | 15 | | 33 | 7 | | 34 | 1 | | 35 | 16 | | 36 | 5 | | 37 | 4 | | 38 | 8 | | 39 | 1 | | 40 | 12 | | 41 | 8 | | 42 | 4 | | 43 | 14 | | 44 | 9 | | 45 | 8 | | 46 | 17 | | 47 | 22 | | 48 | 11 | | 49 | 7 |
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| 33.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.29545454545454547 | | totalSentences | 132 | | uniqueOpeners | 39 | |
| 31.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 107 | | matches | | 0 | "Then he reached into his" |
| | ratio | 0.009 | |
| 96.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 107 | | matches | | 0 | "He leaped over a stack" | | 1 | "She threw herself forward, her" | | 2 | "He banked a sharp left," | | 3 | "She had him." | | 4 | "She checked her leather watch." | | 5 | "She thought of DS Morris." | | 6 | "She thought of the way" | | 7 | "She gripped the cold rungs" | | 8 | "He was seven feet tall," | | 9 | "He held a hand out," | | 10 | "His eyes were the colour" | | 11 | "She reached into her pocket," | | 12 | "It was made of polished" | | 13 | "She’d never known why he" | | 14 | "She slapped it into the" | | 15 | "He bit it." | | 16 | "He nodded once and pulled" | | 17 | "She spotted the trench coat" | | 18 | "It was Silas's Bar—the Raven's" | | 19 | "She pushed through a group" |
| | ratio | 0.308 | |
| 6.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 107 | | matches | | 0 | "The heavy soles of Harlow’s" | | 1 | "The suspect, a wiry man" | | 2 | "The man didn't stand." | | 3 | "He leaped over a stack" | | 4 | "Quinn didn't hesitate." | | 5 | "She threw herself forward, her" | | 6 | "This wasn't a standard foot" | | 7 | "This one seemed to be" | | 8 | "He banked a sharp left," | | 9 | "Quinn felt the surge of" | | 10 | "She had him." | | 11 | "The gate didn't just open;" | | 12 | "The metal groaned, turning to" | | 13 | "The suspect stepped through the" | | 14 | "Quinn skidded to the edge." | | 15 | "A vertical maintenance shaft descended" | | 16 | "She checked her leather watch." | | 17 | "She thought of DS Morris." | | 18 | "She thought of the way" | | 19 | "She gripped the cold rungs" |
| | ratio | 0.907 | |
| 46.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 107 | | matches | | 0 | "If she called for backup" |
| | ratio | 0.009 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 10 | | matches | | 0 | "He leaped over a stack of wooden crates with a grace that felt wrong, his silhouette flickering like a glitching video file against the brickwork." | | 1 | "She threw herself forward, her lungs burning with the damp London air, her hand hovering instinctively near the holster at her hip." | | 2 | "A heavy, velvet curtain hung across the tunnel's mouth, guarded by a man who looked like he’d been stitched together from three different corpses." | | 3 | "He was seven feet tall, wearing a pinstripe waistcoat that strained against his massive frame." | | 4 | "The curtain fluttered, revealing a glimpse of a world that shouldn't exist beneath Camden." | | 5 | "A vendor with three sets of arms was expertly skinning a creature that looked far too much like a golden retriever with wings." | | 6 | "The sign hummed with a low-frequency vibration that rattled her teeth." | | 7 | "The walls of the secret room began to stretch, the maps on the wall bleeding ink that turned into black birds, circling the ceiling." | | 8 | "The muzzle flash illuminated a face that was a mirror image of her own, only twenty years younger, screaming in a silence that shattered the glass in her watch." | | 9 | "Tomás reached out a hand, his Saint Christopher medallion glowing with a fierce, white intensity that burned the shadows back." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "a young girl shouted, her eyes entirely black, clutching a tray of glass vials" | | 1 | "Quinn warned, her hand finally closing around her Glock" | | 2 | "Tomás said, his voice calm, Spanish-inflected" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "a young girl shouted (shout)" | | 1 | "Quinn warned (warn)" | | 2 | "he whispered (whisper)" | | 3 | "Quinn called out (call out)" | | 4 | "Tomás yelled (yell)" |
| | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.833 | | effectiveRatio | 0.37 | |