| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 52 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.042 | | effectiveRatio | 0.038 | |
| 71.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1218 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "really" |
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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) | |
| 79.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1218 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "tracing" | | 1 | "silence" | | 2 | "database" | | 3 | "etched" | | 4 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 74 | | matches | (empty) | |
| 84.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1209 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 747 | | uniqueNames | 9 | | maxNameDensity | 2.81 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 21 | | Tube | 1 | | Camden | 1 | | Old | 1 | | Patels | 11 | | Met | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Old" | | 3 | "Patels" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.094 | | windowScore | 0 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like white chalk" | | 1 | "quite see" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1209 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 26.28 | | std | 17.19 | | cv | 0.654 | | sampleLengths | | 0 | 68 | | 1 | 55 | | 2 | 31 | | 3 | 22 | | 4 | 29 | | 5 | 45 | | 6 | 34 | | 7 | 35 | | 8 | 24 | | 9 | 23 | | 10 | 11 | | 11 | 9 | | 12 | 25 | | 13 | 29 | | 14 | 11 | | 15 | 38 | | 16 | 2 | | 17 | 39 | | 18 | 9 | | 19 | 12 | | 20 | 22 | | 21 | 5 | | 22 | 10 | | 23 | 57 | | 24 | 12 | | 25 | 73 | | 26 | 11 | | 27 | 28 | | 28 | 5 | | 29 | 27 | | 30 | 31 | | 31 | 10 | | 32 | 19 | | 33 | 33 | | 34 | 20 | | 35 | 39 | | 36 | 2 | | 37 | 58 | | 38 | 26 | | 39 | 32 | | 40 | 12 | | 41 | 34 | | 42 | 30 | | 43 | 46 | | 44 | 10 | | 45 | 6 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "were clenched" | | 1 | "been sealed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 135 | | matches | | 0 | "was studying" | | 1 | "was standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 102 | | ratio | 0.059 | | matches | | 0 | "Eighteen years on the force had taught her that the first minutes at a scene were sacred—before the forensic team trampled everything, before the crowd gathered, before the narrative solidified into something that blocked out doubt." | | 1 | "Quinn checked her watch—worn leather, same one she'd worn for fifteen years—and noted the time." | | 2 | "It looked almost like—" | | 3 | "Everyone in the Met knew about DS Morris—Quinn's partner, found dead three years ago in a similarly anomalous location." | | 4 | "Set into it was a door frame with no door—just darkness beyond." | | 5 | "When she looked directly at it, there was nothing—just an absence of light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 755 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.038410596026490065 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.017218543046357615 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 11.85 | | std | 8.61 | | cv | 0.726 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 36 | | 3 | 21 | | 4 | 7 | | 5 | 15 | | 6 | 5 | | 7 | 7 | | 8 | 13 | | 9 | 18 | | 10 | 6 | | 11 | 13 | | 12 | 3 | | 13 | 21 | | 14 | 8 | | 15 | 32 | | 16 | 2 | | 17 | 11 | | 18 | 6 | | 19 | 5 | | 20 | 23 | | 21 | 15 | | 22 | 7 | | 23 | 13 | | 24 | 7 | | 25 | 17 | | 26 | 11 | | 27 | 12 | | 28 | 11 | | 29 | 4 | | 30 | 5 | | 31 | 20 | | 32 | 5 | | 33 | 20 | | 34 | 9 | | 35 | 11 | | 36 | 12 | | 37 | 26 | | 38 | 2 | | 39 | 3 | | 40 | 20 | | 41 | 12 | | 42 | 4 | | 43 | 9 | | 44 | 4 | | 45 | 8 | | 46 | 10 | | 47 | 12 | | 48 | 5 | | 49 | 6 |
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| 76.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.47058823529411764 | | totalSentences | 102 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 66 | | matches | | 0 | "She crouched beside the body," | | 1 | "She was forty-one and the" | | 2 | "She crouched again, pulling a" | | 3 | "His hands were clenched, fingers" | | 4 | "She was studying the wall" | | 5 | "It looked almost like—" | | 6 | "She released the younger woman's" | | 7 | "She walked back to the" | | 8 | "She pulled on gloves before" | | 9 | "She stood, moving toward the" | | 10 | "She gestured at the darkness" | | 11 | "She thought about Morris, about" | | 12 | "She thought about the way" | | 13 | "she said finally" | | 14 | "She turned to Patels." |
| | ratio | 0.227 | |
| 20.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 66 | | matches | | 0 | "The ambulance lights painted the" | | 1 | "She crouched beside the body," | | 2 | "The young man lay face-down" | | 3 | "Quinn checked her watch—worn leather," | | 4 | "Half two in the morning." | | 5 | "A constable appeared at her" | | 6 | "Quinn stood slowly, her knees" | | 7 | "She was forty-one and the" | | 8 | "The constable swallowed" | | 9 | "Quinn moved toward the body," | | 10 | "She crouched again, pulling a" | | 11 | "The coins bore no queen's" | | 12 | "The metal was dark, almost" | | 13 | "A woman appeared at the" | | 14 | "DC Patels, her backup for" | | 15 | "Quinn didn't look up" | | 16 | "Patels descended the static stairs," | | 17 | "Quinn held up the bag" | | 18 | "Patels took it, frowning." | | 19 | "Quinn stood, brushing dust from" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "She crouched beside the body, her eyes tracing the ground without moving her head." | | 1 | "The young man lay face-down at the foot of the escalators, arms splayed as if he'd fallen from a great height." | | 2 | "But the compass needle was trembling now, spinning faster than before, and Quinn knew with a certainty that had nothing to do with evidence or logic that she wa…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 3 | | matches | | 0 | "A constable appeared, flashlight trembling slightly in his grip" | | 1 | "Quinn circled, her shadow crossing the dead man's face" | | 2 | "Quinn moved, not touching the wall" |
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| 92.31% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Patels admitted (admit)" | | 1 | "Patels observed (observe)" | | 2 | "she repeated (repeat)" |
| | dialogueSentences | 52 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0.5 | | effectiveRatio | 0.115 | |