| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "sharply" |
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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) | |
| 20.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "glistening" | | 1 | "practiced ease" | | 2 | "pulse" | | 3 | "surreal" | | 4 | "flicker" | | 5 | "racing" | | 6 | "charged" | | 7 | "pulsed" | | 8 | "silk" | | 9 | "wavering" | | 10 | "echoed" | | 11 | "scanning" | | 12 | "flickered" | | 13 | "whisper" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 8 | | totalWords | 993 | | ratio | 0.008 | | matches | | 0 | "Tommy" | | 1 | "thud" | | 2 | "gone" | | 3 | "too" | | 4 | "changed" | | 5 | "earn" | | 6 | "moved" | | 7 | "them" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 926 | | uniqueNames | 10 | | maxNameDensity | 1.84 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 17 | | Herrera | 15 | | Saint | 1 | | Christopher | 1 | | Morris | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" |
| | places | | | globalScore | 0.582 | | windowScore | 0.667 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "something like electricity" | | 1 | "something between a growl and a whisper" |
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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 | 993 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 32.03 | | std | 25.05 | | cv | 0.782 | | sampleLengths | | 0 | 77 | | 1 | 3 | | 2 | 72 | | 3 | 64 | | 4 | 29 | | 5 | 3 | | 6 | 12 | | 7 | 55 | | 8 | 52 | | 9 | 53 | | 10 | 15 | | 11 | 5 | | 12 | 62 | | 13 | 3 | | 14 | 81 | | 15 | 8 | | 16 | 54 | | 17 | 55 | | 18 | 2 | | 19 | 45 | | 20 | 15 | | 21 | 25 | | 22 | 29 | | 23 | 17 | | 24 | 2 | | 25 | 40 | | 26 | 12 | | 27 | 37 | | 28 | 7 | | 29 | 51 | | 30 | 8 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 80 | | matches | | 0 | "was cornered" | | 1 | "been transformed" |
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| 71.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 156 | | matches | | 0 | "was heading" | | 1 | "was running" | | 2 | "was heading" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 88 | | ratio | 0.136 | | matches | | 0 | "Tomás Herrera—*Tommy*—was fast, his dark curls plastered to his forehead, his olive skin glistening under the flickering streetlights." | | 1 | "Herrera was heading for the edge—toward the next building, toward the drop." | | 2 | "But there, at the mouth of an alley, was a flicker of movement—a shadow where there shouldn’t have been one." | | 3 | "He was connected—*too* connected—to the clique, to the cases that had been eating at her for months." | | 4 | "The air here was different—thicker, charged, like the moment before a storm broke." | | 5 | "The air smelled of earth and something older—something metallic and faintly sweet, like copper and ozone." | | 6 | "Quinn had heard whispers of it—rumors of a black market that moved with the moon, selling things that shouldn’t exist." | | 7 | "The market’s patrons barely glanced at her—some were human, or close enough, but others…" | | 8 | "The vendor, a gaunt figure with too many fingers, handed him something small and pale—a bone token, Quinn realized with a jolt." | | 9 | "The walls here were different—smooth, almost polished, like the inside of a vein." | | 10 | "Herrera twisted away, but not fast enough—her fingers closed around his wrist, the bone cold against her skin." | | 11 | "The shadows surged forward, and for a heartbeat, Quinn saw *them*—pale, gaunt faces in the dark, eyes black and endless." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 939 | | adjectiveStacks | 1 | | stackExamples | | 0 | "different—thicker, charged, like" |
| | adverbCount | 34 | | adverbRatio | 0.0362087326943557 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006389776357827476 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.28 | | std | 6.53 | | cv | 0.579 | | sampleLengths | | 0 | 15 | | 1 | 22 | | 2 | 18 | | 3 | 22 | | 4 | 3 | | 5 | 14 | | 6 | 29 | | 7 | 17 | | 8 | 12 | | 9 | 15 | | 10 | 4 | | 11 | 16 | | 12 | 17 | | 13 | 12 | | 14 | 6 | | 15 | 10 | | 16 | 13 | | 17 | 3 | | 18 | 4 | | 19 | 4 | | 20 | 3 | | 21 | 1 | | 22 | 16 | | 23 | 19 | | 24 | 20 | | 25 | 13 | | 26 | 5 | | 27 | 17 | | 28 | 6 | | 29 | 11 | | 30 | 15 | | 31 | 10 | | 32 | 6 | | 33 | 13 | | 34 | 4 | | 35 | 3 | | 36 | 2 | | 37 | 15 | | 38 | 5 | | 39 | 15 | | 40 | 16 | | 41 | 13 | | 42 | 18 | | 43 | 3 | | 44 | 20 | | 45 | 5 | | 46 | 7 | | 47 | 32 | | 48 | 17 | | 49 | 8 |
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| 46.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3181818181818182 | | totalSentences | 88 | | uniqueOpeners | 28 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Then he disappeared." | | 1 | "Then Herrera yanked her forward," |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 77 | | matches | | 0 | "He glanced back, just once," | | 1 | "She didn’t hesitate." | | 2 | "She followed, her sharp jaw" | | 3 | "She cleared the wall with" | | 4 | "She’d chased enough suspects to" | | 5 | "He was just…" | | 6 | "She descended the fire escape" | | 7 | "He was connected—*too* connected—to the" | | 8 | "It was ajar, the hinges" | | 9 | "She could turn back." | | 10 | "She pushed the door open." | | 11 | "She kept her gaze locked" | | 12 | "He was heading for a" | | 13 | "He knew she was there." | | 14 | "He didn’t stop." | | 15 | "He turned then, his warm" | | 16 | "He held up the token" | | 17 | "She lunged forward, grabbing for" |
| | ratio | 0.234 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 77 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn moved with" | | 2 | "Tomás Herrera—*Tommy*—was fast, his dark" | | 3 | "He glanced back, just once," | | 4 | "She didn’t hesitate." | | 5 | "The alley reeked of wet" | | 6 | "Quinn’s breath came sharp and" | | 7 | "Herrera was already halfway up," | | 8 | "She followed, her sharp jaw" | | 9 | "Quinn didn’t break stride." | | 10 | "She cleared the wall with" | | 11 | "The rooftops stretched ahead, a" | | 12 | "Herrera was heading for the" | | 13 | "Quinn’s pulse hammered in her" | | 14 | "She’d chased enough suspects to" | | 15 | "He was just…" | | 16 | "Quinn skidded to a stop" | | 17 | "She descended the fire escape" | | 18 | "Herrera wasn’t just a suspect." | | 19 | "He was connected—*too* connected—to the" |
| | ratio | 0.818 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "Before Herrera could answer, the" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 1 | | matches | | 0 | "Stalls lined the tracks, their wares glowing under the dim, flickering lights: vials of shimmering liquid, bundles of herbs that pulsed with an eerie light, wea…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn kept, her eyes scanning the tunnel" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |