| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1053 | | totalAiIsmAdverbs | 3 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1053 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "vibrated" | | 2 | "gloom" | | 3 | "familiar" | | 4 | "weight" | | 5 | "oppressive" | | 6 | "pulsed" | | 7 | "velvet" | | 8 | "shattered" | | 9 | "mosaic" | | 10 | "trembled" | | 11 | "synchronized" | | 12 | "resolve" | | 13 | "silence" | | 14 | "spectral" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 32.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1049 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 888 | | uniqueNames | 10 | | maxNameDensity | 0.45 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Herrera" | | discoveredNames | | Camden | 2 | | Quinn | 4 | | Precinct | 1 | | Herrera | 4 | | Tube | 1 | | Saint | 1 | | Christopher | 1 | | Veil | 1 | | Market | 2 | | Morris | 1 |
| | persons | | 0 | "Camden" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Market" | | 6 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | 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 | 1049 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 40.35 | | std | 27.53 | | cv | 0.682 | | sampleLengths | | 0 | 64 | | 1 | 6 | | 2 | 57 | | 3 | 62 | | 4 | 16 | | 5 | 30 | | 6 | 19 | | 7 | 79 | | 8 | 68 | | 9 | 16 | | 10 | 11 | | 11 | 59 | | 12 | 29 | | 13 | 21 | | 14 | 51 | | 15 | 25 | | 16 | 67 | | 17 | 15 | | 18 | 13 | | 19 | 46 | | 20 | 50 | | 21 | 9 | | 22 | 56 | | 23 | 28 | | 24 | 26 | | 25 | 126 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 63.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 146 | | matches | | 0 | "was leading" | | 1 | "weren't looking" | | 2 | "were looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 75 | | ratio | 0.053 | | matches | | 0 | "He clutched something beneath his dark coat—a bundle that twitched with a rhythmic, unnatural energy." | | 1 | "He produced a jagged, white object—a splinter of bone—and pressed it into a recessed slot in the ironwork." | | 2 | "The station held a weight she recognized—the same weight that had pressed down on the crime scene where Morris had simply ceased to exist, stripped of his corporeal form by something the textbooks never mentioned." | | 3 | "The silence that followed was worse than the hum; it was the silence of a vacuum, absolute and heavy." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 896 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.016741071428571428 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010044642857142858 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 13.99 | | std | 6.72 | | cv | 0.481 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 15 | | 3 | 15 | | 4 | 6 | | 5 | 10 | | 6 | 4 | | 7 | 14 | | 8 | 3 | | 9 | 12 | | 10 | 14 | | 11 | 6 | | 12 | 18 | | 13 | 23 | | 14 | 15 | | 15 | 16 | | 16 | 14 | | 17 | 16 | | 18 | 19 | | 19 | 8 | | 20 | 3 | | 21 | 16 | | 22 | 4 | | 23 | 18 | | 24 | 30 | | 25 | 10 | | 26 | 10 | | 27 | 3 | | 28 | 2 | | 29 | 12 | | 30 | 17 | | 31 | 14 | | 32 | 16 | | 33 | 11 | | 34 | 12 | | 35 | 16 | | 36 | 13 | | 37 | 18 | | 38 | 18 | | 39 | 11 | | 40 | 21 | | 41 | 9 | | 42 | 14 | | 43 | 16 | | 44 | 12 | | 45 | 25 | | 46 | 2 | | 47 | 13 | | 48 | 35 | | 49 | 17 |
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| 36.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.30666666666666664 | | totalSentences | 75 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 29.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 63 | | matches | | 0 | "He clutched something beneath his" | | 1 | "Her voice cut through the" | | 2 | "He sprinted toward a rusted," | | 3 | "He didn't fumble with the" | | 4 | "He produced a jagged, white" | | 5 | "He tapped the Saint Christopher" | | 6 | "He vanished into the gullet" | | 7 | "She vaulted over the threshold," | | 8 | "She descended into the gloom," | | 9 | "It wasn't abandoned." | | 10 | "She tracked the movement of" | | 11 | "She skirted the edge of" | | 12 | "She shoved the creature aside," | | 13 | "His scar stood out, a" | | 14 | "He slid through the crowd," | | 15 | "He reached the center of" | | 16 | "He paused, looking back, his" | | 17 | "Her hand tightened on her" | | 18 | "They weren't looking at Herrera." | | 19 | "They were looking at her" |
| | ratio | 0.476 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 63 | | matches | | 0 | "Rain lashed against the asphalt" | | 1 | "Harlow Quinn pressed herself against" | | 2 | "He clutched something beneath his" | | 3 | "Her voice cut through the" | | 4 | "The man didn't slow." | | 5 | "He sprinted toward a rusted," | | 6 | "This was it." | | 7 | "The trail she had followed" | | 8 | "Tomás Herrera, the disgraced medic," | | 9 | "He didn't fumble with the" | | 10 | "He produced a jagged, white" | | 11 | "The heavy gate groaned, swinging" | | 12 | "A faint, violet haze swirled" | | 13 | "Herrera stood at the precipice," | | 14 | "He tapped the Saint Christopher" | | 15 | "He vanished into the gullet" | | 16 | "Quinn didn't hesitate." | | 17 | "She vaulted over the threshold," | | 18 | "The transition was instant." | | 19 | "The roar of the city" |
| | ratio | 0.952 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Either turn back to the" |
| | ratio | 0.016 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "He clutched something beneath his dark coat—a bundle that twitched with a rhythmic, unnatural energy." | | 1 | "The station held a weight she recognized—the same weight that had pressed down on the crime scene where Morris had simply ceased to exist, stripped of his corpo…" | | 2 | "The hum grew loud, a high-pitched whine that threatened to shatter the very marrow in her teeth." | | 3 | "They were looking at her badge, at the steel of her watch, at the singular, rigid resolve that defined her service." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |