| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 2 | | adverbTags | | 0 | "he stopped clearly [clearly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 85 | | tagDensity | 0.306 | | leniency | 0.612 | | rawRatio | 0.077 | | effectiveRatio | 0.047 | |
| 90.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1579 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 2 |
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| | highlights | | 0 | "slightly" | | 1 | "deliberately" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 71.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1579 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "stomach" | | 2 | "predictable" | | 3 | "silence" | | 4 | "standard" | | 5 | "traced" | | 6 | "flickered" | | 7 | "pulse" |
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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 | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1570 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 842 | | uniqueNames | 10 | | maxNameDensity | 2.14 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Thames | 1 | | Tube | 1 | | Sergeant | 1 | | Tanaka | 13 | | Morris | 1 | | Ever | 1 | | Webb | 2 | | Eva | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tube" | | 3 | "Sergeant" | | 4 | "Tanaka" | | 5 | "Morris" | | 6 | "Webb" | | 7 | "Eva" |
| | places | | | globalScore | 0.431 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 4 | | matches | | 0 | "graffiti that seemed to shift in her peripheral vision" | | 1 | "quite reach" | | 2 | "quite" | | 3 | "seemed thicker than it should have been, almost solid" |
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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 | 1570 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 19.87 | | std | 17.49 | | cv | 0.88 | | sampleLengths | | 0 | 65 | | 1 | 21 | | 2 | 20 | | 3 | 66 | | 4 | 37 | | 5 | 5 | | 6 | 28 | | 7 | 1 | | 8 | 40 | | 9 | 22 | | 10 | 22 | | 11 | 33 | | 12 | 5 | | 13 | 44 | | 14 | 9 | | 15 | 5 | | 16 | 2 | | 17 | 8 | | 18 | 51 | | 19 | 8 | | 20 | 15 | | 21 | 13 | | 22 | 8 | | 23 | 4 | | 24 | 37 | | 25 | 26 | | 26 | 1 | | 27 | 35 | | 28 | 6 | | 29 | 43 | | 30 | 9 | | 31 | 6 | | 32 | 15 | | 33 | 39 | | 34 | 6 | | 35 | 3 | | 36 | 45 | | 37 | 6 | | 38 | 44 | | 39 | 1 | | 40 | 28 | | 41 | 2 | | 42 | 13 | | 43 | 43 | | 44 | 44 | | 45 | 5 | | 46 | 3 | | 47 | 11 | | 48 | 5 | | 49 | 60 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 41.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 141 | | ratio | 0.035 | | matches | | 0 | "She counted her steps automatically—thirty-two, thirty-three—her flashlight cutting through the dark as the Tube's familiar tile gave way to exposed brick and graffiti that seemed to shift in her peripheral vision." | | 1 | "Not with their condition—the bodies could be predictable in their ruin—but with their silence." | | 2 | "The graffiti she'd noticed earlier repeated itself in patterns she didn't recognize—circles within circles, symbols that looked almost like letters but weren't quite." | | 3 | "\"Different gait entirely. Shorter stride. He walked to the body, knelt—\" she traced the pattern \"—spent some time there, then left the way he came.\"" | | 4 | "\"Since always. There's a unit that handles—\" he stopped, clearly rephrasing \"—unusual cases.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 887 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03269447576099211 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005636978579481398 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 11.13 | | std | 8.2 | | cv | 0.736 | | sampleLengths | | 0 | 24 | | 1 | 31 | | 2 | 2 | | 3 | 8 | | 4 | 17 | | 5 | 4 | | 6 | 16 | | 7 | 4 | | 8 | 22 | | 9 | 12 | | 10 | 3 | | 11 | 2 | | 12 | 27 | | 13 | 7 | | 14 | 11 | | 15 | 14 | | 16 | 5 | | 17 | 5 | | 18 | 11 | | 19 | 17 | | 20 | 1 | | 21 | 9 | | 22 | 31 | | 23 | 5 | | 24 | 15 | | 25 | 2 | | 26 | 22 | | 27 | 10 | | 28 | 16 | | 29 | 7 | | 30 | 5 | | 31 | 23 | | 32 | 21 | | 33 | 9 | | 34 | 5 | | 35 | 2 | | 36 | 2 | | 37 | 6 | | 38 | 5 | | 39 | 13 | | 40 | 23 | | 41 | 10 | | 42 | 8 | | 43 | 15 | | 44 | 13 | | 45 | 3 | | 46 | 5 | | 47 | 4 | | 48 | 5 | | 49 | 26 |
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| 60.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.41134751773049644 | | totalSentences | 141 | | uniqueOpeners | 58 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Ever since she started reading" |
| | ratio | 0.014 | |
| 72.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 73 | | matches | | 0 | "She counted her steps automatically—thirty—two," | | 1 | "She passed him her coat" | | 2 | "His hands were folded across" | | 3 | "They kept their secrets well." | | 4 | "She turned back to the" | | 5 | "She walked the perimeter of" | | 6 | "They weren't hard to find." | | 7 | "She indicated a second set," | | 8 | "she traced the pattern \"—spent" | | 9 | "She shook her head and" | | 10 | "he stopped, clearly rephrasing \"—unusual" | | 11 | "She had been aware for" | | 12 | "She returned to the body" | | 13 | "He looked peaceful, almost content," | | 14 | "His eyes were closed." | | 15 | "His lips slightly parted." | | 16 | "He had died without knowing" | | 17 | "she said quietly" | | 18 | "She stood, brushing dust from" | | 19 | "She gestured toward the darkness" |
| | ratio | 0.37 | |
| 14.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 73 | | matches | | 0 | "The staircase down into the" | | 1 | "She counted her steps automatically—thirty—two," | | 2 | "A constable materialized from the" | | 3 | "She passed him her coat" | | 4 | "The body lay in the" | | 5 | "His hands were folded across" | | 6 | "Quinn crouched beside him, her" | | 7 | "They kept their secrets well." | | 8 | "Sergeant Tanaka appeared at her" | | 9 | "Tanaka flipped a page" | | 10 | "Quinn stared at the compass." | | 11 | "The verdigris patina caught the" | | 12 | "Quinn's hand hovered over the" | | 13 | "Something about the object tugged" | | 14 | "She turned back to the" | | 15 | "Tanaka consulted his notes again" | | 16 | "Quinn stood, her knees cracking." | | 17 | "She walked the perimeter of" | | 18 | "The graffiti she'd noticed earlier" | | 19 | "Tanaka's expression shifted." |
| | ratio | 0.89 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Now it had taken someone" |
| | ratio | 0.014 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "The staircase down into the abandoned station smelled of rust and something older, something that reminded Harlow Quinn of the Thames at low tide." | | 1 | "She counted her steps automatically—thirty-two, thirty-three—her flashlight cutting through the dark as the Tube's familiar tile gave way to exposed brick and g…" | | 2 | "Ever since she started reading the files she wasn't supposed to read and asking questions that made her colleagues uncomfortable." | | 3 | "It had taken everything she understood about the world and left her with questions that had no good answers." |
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| 67.31% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 3 | | matches | | 0 | "A constable materialized, his face pale beneath the beam of his torch" | | 1 | "Sergeant Tanaka appeared, his notebook already open" | | 2 | "Quinn leaned, not touching, just observing" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 85 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |