| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 954 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "barely above a whisper" | | count | 2 |
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| | highlights | | 0 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 954 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "pounding" | | 1 | "chill" | | 2 | "glistening" | | 3 | "echoing" | | 4 | "footsteps" | | 5 | "silence" | | 6 | "weight" | | 7 | "scanned" | | 8 | "beacon" | | 9 | "whisper" | | 10 | "eyebrow" | | 11 | "furrowed" | | 12 | "racing" | | 13 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 99.36% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 65 | | matches | | 0 | "e with panic" | | 1 | "e with fear" |
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| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 951 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 687 | | uniqueNames | 8 | | maxNameDensity | 2.04 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Soho | 1 | | Tomás | 1 | | Herrera | 12 | | Veil | 2 | | Market | 2 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" |
| | places | | | globalScore | 0.481 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 951 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 98.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 43.23 | | std | 21.35 | | cv | 0.494 | | sampleLengths | | 0 | 78 | | 1 | 31 | | 2 | 55 | | 3 | 67 | | 4 | 68 | | 5 | 88 | | 6 | 59 | | 7 | 18 | | 8 | 20 | | 9 | 23 | | 10 | 34 | | 11 | 33 | | 12 | 48 | | 13 | 41 | | 14 | 13 | | 15 | 71 | | 16 | 24 | | 17 | 41 | | 18 | 41 | | 19 | 30 | | 20 | 13 | | 21 | 55 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 85.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 116 | | matches | | 0 | "was weaving" | | 1 | "was racing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 579 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.013816925734024179 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0051813471502590676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.19 | | std | 7.99 | | cv | 0.656 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 19 | | 3 | 21 | | 4 | 15 | | 5 | 11 | | 6 | 5 | | 7 | 10 | | 8 | 9 | | 9 | 11 | | 10 | 14 | | 11 | 11 | | 12 | 11 | | 13 | 17 | | 14 | 11 | | 15 | 28 | | 16 | 20 | | 17 | 10 | | 18 | 17 | | 19 | 21 | | 20 | 9 | | 21 | 17 | | 22 | 10 | | 23 | 26 | | 24 | 18 | | 25 | 8 | | 26 | 9 | | 27 | 8 | | 28 | 18 | | 29 | 14 | | 30 | 10 | | 31 | 8 | | 32 | 10 | | 33 | 7 | | 34 | 10 | | 35 | 3 | | 36 | 4 | | 37 | 5 | | 38 | 14 | | 39 | 13 | | 40 | 7 | | 41 | 14 | | 42 | 6 | | 43 | 17 | | 44 | 10 | | 45 | 8 | | 46 | 4 | | 47 | 36 | | 48 | 3 | | 49 | 16 |
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| 41.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3076923076923077 | | totalSentences | 78 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 44.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 57 | | matches | | 0 | "Her breath misted in the" | | 1 | "she barked, her voice echoing" | | 2 | "He ducked into a doorway," | | 3 | "She approached the doorway, her" | | 4 | "She'd heard whispers of it," | | 5 | "It was a world away" | | 6 | "She took a deep breath," | | 7 | "She descended the stairs, her" | | 8 | "He was weaving through the" | | 9 | "She pushed after him, her" | | 10 | "She passed a stall selling" | | 11 | "She snorted, her grip tightening" | | 12 | "She could hear Herrera's ragged" | | 13 | "She drew her gun, her" | | 14 | "she said, her voice low" | | 15 | "he said, his voice barely" | | 16 | "She'd suspected as much, but" | | 17 | "She lowered her gun, her" | | 18 | "she said, her voice barely" | | 19 | "It all pointed to something" |
| | ratio | 0.439 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 57 | | matches | | 0 | "The rain was a relentless" | | 1 | "Detective Harlow Quinn, her salt-and-pepper" | | 2 | "Her breath misted in the" | | 3 | "The man she chased, Tomás" | | 4 | "Quinn's sharp jaw was set," | | 5 | "she barked, her voice echoing" | | 6 | "Herrera glanced back, his warm" | | 7 | "He ducked into a doorway," | | 8 | "Quinn skidded to a halt," | | 9 | "She approached the doorway, her" | | 10 | "The door creaked open, revealing" | | 11 | "Quinn hesitated, her military precision" | | 12 | "The Veil Market was down" | | 13 | "She'd heard whispers of it," | | 14 | "It was a world away" | | 15 | "She took a deep breath," | | 16 | "She descended the stairs, her" | | 17 | "The stairwell opened into a" | | 18 | "Stalls groaned under the weight" | | 19 | "Quinn scanned the crowd, her" |
| | ratio | 0.965 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "The Veil Market was down there, a hidden supernatural black market that moved locations every full moon." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "she barked, her voice echoing off the narrow alley walls" | | 1 | "she said, her voice low and dangerous" | | 2 | "he said, his voice barely above a whisper" | | 3 | "she said, her voice barely above a whisper" | | 4 | "she said, her voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.077 | | effectiveRatio | 0.077 | |