| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 940 | | 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) | |
| 36.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 940 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "stark" | | 1 | "footsteps" | | 2 | "echoing" | | 3 | "flicker" | | 4 | "gloom" | | 5 | "weight" | | 6 | "rhythmic" | | 7 | "mosaic" | | 8 | "familiar" | | 9 | "uncanny" | | 10 | "chill" | | 11 | "charged" |
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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 | 67 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 932 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 876 | | uniqueNames | 11 | | maxNameDensity | 0.68 | | worstName | "Tomás" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Harlow | 2 | | Quinn | 3 | | Herrera | 1 | | Tube | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 | | Tomás | 6 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Tomás" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "cloaks that seemed to drink the light, a woman with iridescent scales dusting her temples haggling over a jar of writhing worms, a man with fingers too long and jointed examining a dagger that hummed with a faint, malevolent energy" |
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| 92.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.073 | | wordCount | 932 | | matches | | 0 | "not in a cellar, but in a brick archway" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 42.36 | | std | 25.2 | | cv | 0.595 | | sampleLengths | | 0 | 63 | | 1 | 17 | | 2 | 23 | | 3 | 56 | | 4 | 81 | | 5 | 5 | | 6 | 46 | | 7 | 69 | | 8 | 68 | | 9 | 82 | | 10 | 45 | | 11 | 49 | | 12 | 10 | | 13 | 15 | | 14 | 30 | | 15 | 74 | | 16 | 35 | | 17 | 50 | | 18 | 9 | | 19 | 34 | | 20 | 3 | | 21 | 68 |
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| 89.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 67 | | matches | | 0 | "was swallowed" | | 1 | "was connected" | | 2 | "was made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 143 | | matches | | 0 | "was crossing" | | 1 | "was willing" |
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| 22.13% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 71 | | ratio | 0.042 | | matches | | 0 | "The crowd was a mosaic of the impossible—figures in hooded cloaks that seemed to drink the light, a woman with iridescent scales dusting her temples haggling over a jar of writhing worms, a man with fingers too long and jointed examining a dagger that hummed with a faint, malevolent energy." | | 1 | "The creature—it couldn’t be called a man—was swathed in rough-spun robes, its face hidden in shadow beneath a deep hood." | | 2 | "She reached into her coat pocket, her fingers brushing past her badge and closing around something else—a small, smooth object." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 884 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.01809954751131222 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006787330316742082 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 13.13 | | std | 8.85 | | cv | 0.674 | | sampleLengths | | 0 | 16 | | 1 | 23 | | 2 | 24 | | 3 | 17 | | 4 | 23 | | 5 | 5 | | 6 | 21 | | 7 | 10 | | 8 | 20 | | 9 | 16 | | 10 | 24 | | 11 | 23 | | 12 | 18 | | 13 | 5 | | 14 | 11 | | 15 | 11 | | 16 | 24 | | 17 | 5 | | 18 | 2 | | 19 | 2 | | 20 | 8 | | 21 | 24 | | 22 | 9 | | 23 | 6 | | 24 | 13 | | 25 | 14 | | 26 | 10 | | 27 | 17 | | 28 | 27 | | 29 | 14 | | 30 | 18 | | 31 | 50 | | 32 | 17 | | 33 | 3 | | 34 | 7 | | 35 | 18 | | 36 | 12 | | 37 | 20 | | 38 | 8 | | 39 | 9 | | 40 | 10 | | 41 | 5 | | 42 | 10 | | 43 | 7 | | 44 | 23 | | 45 | 11 | | 46 | 21 | | 47 | 32 | | 48 | 6 | | 49 | 4 |
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| 40.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3380281690140845 | | totalSentences | 71 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 64 | | matches | | 0 | "Her heart hammered a military" | | 1 | "Her command was swallowed by" | | 2 | "He didn’t even glance back." | | 3 | "He just vaulted over a" | | 4 | "She followed, her hand automatically" | | 5 | "He looked back at her," | | 6 | "She knew it was a" | | 7 | "She’d seen the scorch marks" | | 8 | "She crossed the creaking planks," | | 9 | "It was a bazaar of" | | 10 | "Her suspect was already melting" | | 11 | "It held up a gnarled" | | 12 | "it rasped, its voice like" | | 13 | "Her service pistol felt insignificant." | | 14 | "He never came back." | | 15 | "She looked past the creature." | | 16 | "He was getting away." | | 17 | "He had answers." | | 18 | "He knew things." | | 19 | "Her hand, still resting on" |
| | ratio | 0.375 | |
| 14.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 64 | | matches | | 0 | "The rain fell in cold," | | 1 | "Detective Harlow Quinn’s leather-soled shoes" | | 2 | "Her heart hammered a military" | | 3 | "Tomás Herrera was fast, a" | | 4 | "Her command was swallowed by" | | 5 | "He didn’t even glance back." | | 6 | "He just vaulted over a" | | 7 | "A service entrance, likely for" | | 8 | "Adrenaline narrowed her world to" | | 9 | "She followed, her hand automatically" | | 10 | "The air changed as she" | | 11 | "The steps ended not in" | | 12 | "This wasn’t on any map." | | 13 | "A flicker of movement at" | | 14 | "Tomás, catching his breath, his" | | 15 | "He looked back at her," | | 16 | "Quinn’s training screamed at her." | | 17 | "The memory of Morris, of" | | 18 | "The official report called it" | | 19 | "She knew it was a" |
| | ratio | 0.891 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 64 | | matches | | 0 | "To follow Tomás was to" | | 1 | "Now, there were only the" |
| | ratio | 0.031 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "The crowd was a mosaic of the impossible—figures in hooded cloaks that seemed to drink the light, a woman with iridescent scales dusting her temples haggling ov…" | | 1 | "The whispered network that operated outside the law, the one she was sure was connected to Morris’s disappearance." | | 2 | "She reached into her coat pocket, her fingers brushing past her badge and closing around something else—a small, smooth object." |
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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 | |