| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1528 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "quickly" | | 2 | "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) | |
| 37.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1528 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "streaming" | | 1 | "glistening" | | 2 | "tracing" | | 3 | "echoing" | | 4 | "resonance" | | 5 | "vibrated" | | 6 | "gloom" | | 7 | "resolve" | | 8 | "constructed" | | 9 | "silk" | | 10 | "scanning" | | 11 | "etched" | | 12 | "comforting" | | 13 | "weight" | | 14 | "scanned" | | 15 | "fleeting" | | 16 | "jaw clenched" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | 0 | "knuckles turned white" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | 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 | 1525 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1496 | | uniqueNames | 15 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 2 | | Quinn | 19 | | Metropolitan | 1 | | Police | 1 | | Herrera | 3 | | Saint | 1 | | Christopher | 1 | | Clique | 3 | | Tube | 1 | | Veil | 1 | | Market | 3 | | Morris | 6 | | Tomás | 6 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Clique" | | 6 | "Morris" | | 7 | "Tomás" | | 8 | "Detective" |
| | places | | | globalScore | 0.865 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | 0 | "rags that seemed to smoke even in the dry air" |
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| 68.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.311 | | wordCount | 1525 | | matches | | 0 | "not with static, but with a sound like tearing silk" | | 1 | "Not just the eyes of the humans, but the gaze of the things in the shadows" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.36 | | std | 25.57 | | cv | 0.604 | | sampleLengths | | 0 | 85 | | 1 | 11 | | 2 | 77 | | 3 | 4 | | 4 | 15 | | 5 | 89 | | 6 | 28 | | 7 | 81 | | 8 | 30 | | 9 | 57 | | 10 | 40 | | 11 | 14 | | 12 | 38 | | 13 | 53 | | 14 | 19 | | 15 | 81 | | 16 | 57 | | 17 | 42 | | 18 | 3 | | 19 | 86 | | 20 | 39 | | 21 | 66 | | 22 | 63 | | 23 | 17 | | 24 | 58 | | 25 | 9 | | 26 | 63 | | 27 | 40 | | 28 | 32 | | 29 | 62 | | 30 | 19 | | 31 | 11 | | 32 | 50 | | 33 | 44 | | 34 | 21 | | 35 | 21 |
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| 78.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 118 | | matches | | 0 | "was plastered" | | 1 | "been winded" | | 2 | "been modified" | | 3 | "were lined" | | 4 | "been arrested" | | 5 | "was segmented" | | 6 | "being placed" | | 7 | "being sold" | | 8 | "being traded" | | 9 | "was gone" |
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| 46.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 260 | | matches | | 0 | "were moving" | | 1 | "was rotting" | | 2 | "was waiting" | | 3 | "was waking" | | 4 | "was pushing" | | 5 | "was hesitating" |
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| 95.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 121 | | ratio | 0.017 | | matches | | 0 | "As she went deeper, the sounds of the city above—the distant wail of a siren, the hiss of tires on wet asphalt—faded, replaced by a low, thrumming resonance that vibrated in her teeth." | | 1 | "The darkness was segmented by hooded lanterns burning with flames that shifted color—violet, sickly green, a pale, bone-white." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1504 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.01795212765957447 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007313829787234043 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 12.6 | | std | 8.18 | | cv | 0.649 | | sampleLengths | | 0 | 26 | | 1 | 10 | | 2 | 32 | | 3 | 17 | | 4 | 11 | | 5 | 5 | | 6 | 11 | | 7 | 26 | | 8 | 35 | | 9 | 4 | | 10 | 9 | | 11 | 3 | | 12 | 3 | | 13 | 3 | | 14 | 15 | | 15 | 26 | | 16 | 3 | | 17 | 7 | | 18 | 4 | | 19 | 4 | | 20 | 13 | | 21 | 14 | | 22 | 28 | | 23 | 4 | | 24 | 11 | | 25 | 1 | | 26 | 27 | | 27 | 38 | | 28 | 11 | | 29 | 13 | | 30 | 6 | | 31 | 25 | | 32 | 18 | | 33 | 2 | | 34 | 12 | | 35 | 8 | | 36 | 22 | | 37 | 10 | | 38 | 14 | | 39 | 5 | | 40 | 23 | | 41 | 6 | | 42 | 4 | | 43 | 2 | | 44 | 18 | | 45 | 33 | | 46 | 9 | | 47 | 10 | | 48 | 21 | | 49 | 18 |
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| 39.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.31666666666666665 | | totalSentences | 120 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 84.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 115 | | matches | | 0 | "Her breathing remained a controlled" | | 1 | "Her boots struck the ground" | | 2 | "His short, curly dark brown" | | 3 | "Her voice cut through the" | | 4 | "It didn't waver." | | 5 | "It never did." | | 6 | "He twisted mid-stride, his left" | | 7 | "She knew that mark." | | 8 | "She knew the history." | | 9 | "He hit the alley mouth" | | 10 | "They were moving toward the" | | 11 | "She surged forward, her shoulders" | | 12 | "You didn't draw in the" | | 13 | "She reached the door and" | | 14 | "It groaned on unoiled hinges," | | 15 | "She stepped into the stairwell." | | 16 | "Her boots rang against the" | | 17 | "Her heart gave a single," | | 18 | "She had heard the whispers" | | 19 | "She had dismissed them as" |
| | ratio | 0.339 | |
| 33.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 115 | | matches | | 0 | "The rain did not fall" | | 1 | "Detective Harlow Quinn ignored the" | | 2 | "Her breathing remained a controlled" | | 3 | "Her boots struck the ground" | | 4 | "Quinn's eyes locked onto him." | | 5 | "Tomás Herrera moved with a" | | 6 | "His short, curly dark brown" | | 7 | "Her voice cut through the" | | 8 | "It didn't waver." | | 9 | "It never did." | | 10 | "Tomás didn't stop." | | 11 | "He twisted mid-stride, his left" | | 12 | "The knife scar." | | 13 | "Quinn's jaw set, her sharp" | | 14 | "She knew that mark." | | 15 | "She knew the history." | | 16 | "A paramedic who lost his" | | 17 | "A man who walked the" | | 18 | "He hit the alley mouth" | | 19 | "Quinn checked her wrist." |
| | ratio | 0.852 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 115 | | matches | | 0 | "Even from the distance, Quinn's" | | 1 | "To enter the Market without" | | 2 | "If she let him pass," |
| | ratio | 0.026 | |
| 28.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 11 | | matches | | 0 | "Tomás Herrera moved with a frantic energy that belied his build." | | 1 | "A man who walked the grey line between the living and whatever lay beyond." | | 2 | "It groaned on unoiled hinges, swinging into a darkness that smelled of damp concrete and something sharper, metallic, like ozone over copper." | | 3 | "The rungs of the metal ladder below had been modified, welded with strange angular braces that caught the dim light of her torch." | | 4 | "As she went deeper, the sounds of the city above—the distant wail of a siren, the hiss of tires on wet asphalt—faded, replaced by a low, thrumming resonance tha…" | | 5 | "The darkness was segmented by hooded lanterns burning with flames that shifted color—violet, sickly green, a pale, bone-white." | | 6 | "The way his eyes had rolled back, showing only the whites, as he whispered a string of syllables that shouldn't have been pronounceable." | | 7 | "This was where the Clique drew its poison, where they bought the things that broke the laws of physics and morality." | | 8 | "Long fingers rested on a staff topped with a skull, but the jaw of the skull was missing, replaced by a gemstone that glowed with a hungry red light." | | 9 | "The air felt thicker, resistant, as if the space itself was pushing back against her intrusion." | | 10 | "She looked at Tomás, who was hesitating, his head turning as if he sensed a draft." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, her voice echoing off the confined space" | | 1 | "Quinn whispered, her voice low but carrying the cold edge of command" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |