| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "she asked quietly [quietly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.167 | | effectiveRatio | 0.121 | |
| 83.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1247 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "gently" | | 1 | "suddenly" | | 2 | "carefully" | | 3 | "cautiously" |
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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) | |
| 31.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1247 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "jaw clenched" | | 1 | "flicker" | | 2 | "echo" | | 3 | "scanned" | | 4 | "flicked" | | 5 | "fractured" | | 6 | "silence" | | 7 | "etched" | | 8 | "standard" | | 9 | "intricate" | | 10 | "trembled" | | 11 | "profound" | | 12 | "tension" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | 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 | 1 | | markdownWords | 1 | | totalWords | 1233 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 832 | | uniqueNames | 11 | | maxNameDensity | 2.04 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | Tube | 1 | | Lyle | 7 | | Italian | 1 | | Latin | 1 | | Cyrillic | 1 | | Sector | 1 | | Morris | 1 | | Whitechapel | 1 | | Eva | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Lyle" | | 3 | "Morris" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.478 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 37.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.622 | | wordCount | 1233 | | matches | | 0 | "Not just to Lyle’s breathing or the drip of water from a fractured pipe overhead, but to the absence" | | 1 | "neither Latin nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 21.63 | | std | 19.7 | | cv | 0.911 | | sampleLengths | | 0 | 78 | | 1 | 66 | | 2 | 50 | | 3 | 58 | | 4 | 12 | | 5 | 7 | | 6 | 3 | | 7 | 48 | | 8 | 11 | | 9 | 28 | | 10 | 6 | | 11 | 40 | | 12 | 56 | | 13 | 12 | | 14 | 24 | | 15 | 13 | | 16 | 5 | | 17 | 32 | | 18 | 3 | | 19 | 56 | | 20 | 8 | | 21 | 8 | | 22 | 52 | | 23 | 3 | | 24 | 23 | | 25 | 11 | | 26 | 5 | | 27 | 2 | | 28 | 67 | | 29 | 20 | | 30 | 8 | | 31 | 20 | | 32 | 6 | | 33 | 38 | | 34 | 4 | | 35 | 35 | | 36 | 35 | | 37 | 8 | | 38 | 42 | | 39 | 31 | | 40 | 9 | | 41 | 11 | | 42 | 7 | | 43 | 3 | | 44 | 18 | | 45 | 26 | | 46 | 4 | | 47 | 17 | | 48 | 16 | | 49 | 27 |
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| 92.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 113 | | matches | | 0 | "been repurposed" | | 1 | "was rumpled" | | 2 | "being eaten" | | 3 | "been bricked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 163 | | matches | | 0 | "wasn’t pointing" | | 1 | "was already turning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 134 | | ratio | 0.067 | | matches | | 0 | "Beneath the flicker of portable halogen lamps, the body of a man—mid-thirties, suited, ID reading “Julian Rook”—lay sprawled across the dusty concrete platform of what had once been part of the Metropolitan line." | | 1 | "The air tasted wrong—thicker than it should be, carrying a metallic aftertaste that stung the back of her throat." | | 2 | "His shoes—Italian leather, scuffed at the toe—showed no sign of drag marks." | | 3 | "It was rumpled, yes, but strangely undisturbed—no burn marks, no singeing." | | 4 | "But when she pulled out her flashlight and swept it across the ceiling, she caught something she hadn’t noticed before—carvings." | | 5 | "It trembled, oscillating wildly, then suddenly snapped to a fixed direction—due east, toward a blank stretch of wall where a sealed service door had long ago been bricked up." | | 6 | "She took a step forward, tucking a lock of hair behind her left ear—a nervous habit Quinn noted instantly." | | 7 | "And something else—the faint scent of old parchment and something herbal, like sage and iron." | | 8 | "But for the first time in years, the case—the one that had haunted her, broken her trust in evidence, in logic—felt within reach." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 377 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.015915119363395226 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005305039787798408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 9.2 | | std | 8.08 | | cv | 0.878 | | sampleLengths | | 0 | 19 | | 1 | 20 | | 2 | 33 | | 3 | 6 | | 4 | 14 | | 5 | 4 | | 6 | 4 | | 7 | 19 | | 8 | 3 | | 9 | 4 | | 10 | 18 | | 11 | 9 | | 12 | 35 | | 13 | 6 | | 14 | 4 | | 15 | 14 | | 16 | 7 | | 17 | 12 | | 18 | 16 | | 19 | 5 | | 20 | 3 | | 21 | 6 | | 22 | 2 | | 23 | 1 | | 24 | 7 | | 25 | 2 | | 26 | 1 | | 27 | 6 | | 28 | 26 | | 29 | 4 | | 30 | 12 | | 31 | 2 | | 32 | 9 | | 33 | 4 | | 34 | 7 | | 35 | 11 | | 36 | 6 | | 37 | 6 | | 38 | 5 | | 39 | 19 | | 40 | 5 | | 41 | 3 | | 42 | 8 | | 43 | 10 | | 44 | 2 | | 45 | 2 | | 46 | 20 | | 47 | 8 | | 48 | 14 | | 49 | 6 |
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| 62.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3880597014925373 | | totalSentences | 134 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 95 | | matches | | 0 | "Officially, it didn’t exist." | | 1 | "Just past the edge of" | | 2 | "Just a body, a single" |
| | ratio | 0.032 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 95 | | matches | | 0 | "they didn’t echo right." | | 1 | "Her worn leather watch ticked" | | 2 | "He cleared his throat" | | 3 | "She crouched beside the body," | | 4 | "His shoes—Italian leather, scuffed at" | | 5 | "She leaned closer." | | 6 | "she asked quietly" | | 7 | "She scanned the wall behind" | | 8 | "It was bare, clean." | | 9 | "Her eyes flicked to the" | | 10 | "It was rumpled, yes, but" | | 11 | "She closed her eyes, listening." | | 12 | "It was absorbed." | | 13 | "She reached into her coat" | | 14 | "she said, voice low" | | 15 | "Her eyes narrowed." | | 16 | "It was old, the casing" | | 17 | "It trembled, oscillating wildly, then" | | 18 | "Her fingers brushed the casing." | | 19 | "Her mind was already turning," |
| | ratio | 0.316 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 95 | | matches | | 0 | "Rain drummed against the pavement" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "Camden’s abandoned Tube station had" | | 3 | "The air tasted wrong—thicker than" | | 4 | "they didn’t echo right." | | 5 | "Her worn leather watch ticked" | | 6 | "A junior uniform, DS Lyle," | | 7 | "He cleared his throat" | | 8 | "Quinn didn’t respond immediately." | | 9 | "She crouched beside the body," | | 10 | "The man’s hands were clean," | | 11 | "His shoes—Italian leather, scuffed at" | | 12 | "Blood had pooled beneath him," | | 13 | "She leaned closer." | | 14 | "The bullet entry was small," | | 15 | "she asked quietly" | | 16 | "Quinn said, standing" | | 17 | "She scanned the wall behind" | | 18 | "It was bare, clean." | | 19 | "Quinn shook her head." |
| | ratio | 0.695 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 95 | | matches | | 0 | "Now, it was something else" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "The air tasted wrong—thicker than it should be, carrying a metallic aftertaste that stung the back of her throat." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 33 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.111 | | effectiveRatio | 0.061 | |