| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said softly [softly]" |
| | dialogueSentences | 46 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.043 | | effectiveRatio | 0.043 | |
| 89.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1382 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "quickly" |
| |
| 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) | |
| 71.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1382 | | totalAiIsms | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "carried the weight" | | count | 1 |
| | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "reminder" | | 1 | "velvet" | | 2 | "gloom" | | 3 | "carried the weight" | | 4 | "silence" | | 5 | "pulsed" | | 6 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1379 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | 0 | "Then, it snapped to the right." |
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| 24.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 873 | | uniqueNames | 8 | | maxNameDensity | 2.52 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Quinn | 22 | | Tube | 1 | | Camden | 1 | | Council | 1 | | Kowalski | 1 | | Eva | 18 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Council" | | 2 | "Kowalski" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.24 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 1379 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 28.73 | | std | 16.37 | | cv | 0.57 | | sampleLengths | | 0 | 81 | | 1 | 56 | | 2 | 1 | | 3 | 61 | | 4 | 13 | | 5 | 42 | | 6 | 22 | | 7 | 6 | | 8 | 29 | | 9 | 59 | | 10 | 21 | | 11 | 25 | | 12 | 21 | | 13 | 34 | | 14 | 36 | | 15 | 34 | | 16 | 31 | | 17 | 31 | | 18 | 10 | | 19 | 39 | | 20 | 32 | | 21 | 19 | | 22 | 46 | | 23 | 6 | | 24 | 44 | | 25 | 9 | | 26 | 40 | | 27 | 22 | | 28 | 25 | | 29 | 42 | | 30 | 11 | | 31 | 24 | | 32 | 46 | | 33 | 12 | | 34 | 25 | | 35 | 34 | | 36 | 18 | | 37 | 3 | | 38 | 11 | | 39 | 46 | | 40 | 36 | | 41 | 14 | | 42 | 25 | | 43 | 29 | | 44 | 34 | | 45 | 17 | | 46 | 17 | | 47 | 40 |
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| 82.13% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 91 | | matches | | 0 | "been pried" | | 1 | "was torn" | | 2 | "was unbuckled" | | 3 | "was tossed" | | 4 | "was staged" | | 5 | "was welded" | | 6 | "been heard" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 161 | | matches | | 0 | "were escaping" | | 1 | "was checking" | | 2 | "wasn't staring" | | 3 | "was looking" | | 4 | "wasn't pointing" | | 5 | "was pointing" |
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| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 114 | | ratio | 0.018 | | matches | | 0 | "Clothing—expensive, tailored wool—was torn, but the damage looked staged rather than fought over." | | 1 | "She didn't need the bone token anymore; the item pulsed in response to the dead man's residual energy." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 876 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.023972602739726026 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007990867579908675 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 12.1 | | std | 8.1 | | cv | 0.67 | | sampleLengths | | 0 | 12 | | 1 | 19 | | 2 | 14 | | 3 | 24 | | 4 | 5 | | 5 | 7 | | 6 | 18 | | 7 | 18 | | 8 | 20 | | 9 | 1 | | 10 | 12 | | 11 | 19 | | 12 | 15 | | 13 | 15 | | 14 | 13 | | 15 | 42 | | 16 | 9 | | 17 | 13 | | 18 | 6 | | 19 | 29 | | 20 | 19 | | 21 | 9 | | 22 | 8 | | 23 | 23 | | 24 | 8 | | 25 | 13 | | 26 | 10 | | 27 | 15 | | 28 | 3 | | 29 | 12 | | 30 | 4 | | 31 | 2 | | 32 | 34 | | 33 | 14 | | 34 | 22 | | 35 | 11 | | 36 | 23 | | 37 | 5 | | 38 | 9 | | 39 | 17 | | 40 | 2 | | 41 | 29 | | 42 | 6 | | 43 | 4 | | 44 | 9 | | 45 | 5 | | 46 | 1 | | 47 | 10 | | 48 | 14 | | 49 | 10 |
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| 42.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3157894736842105 | | totalSentences | 114 | | uniqueOpeners | 36 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Then, it snapped to the" |
| | ratio | 0.012 | |
| 93.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 82 | | matches | | 0 | "Her boots crunched on the" | | 1 | "She carried the weight of" | | 2 | "Her red curls were escaping" | | 3 | "She was checking her fingernails" | | 4 | "She lowered herself into a" | | 5 | "His eyes were wide, staring" | | 6 | "She reached out with a" | | 7 | "She pulled out a small" | | 8 | "She pointed a shaking finger" | | 9 | "She circled the body, boots" | | 10 | "She checked the man’s pockets." | | 11 | "His belt was unbuckled, and" | | 12 | "It was staged to look" | | 13 | "She reached into her coat" | | 14 | "She didn't need the bone" | | 15 | "She spun the dial." | | 16 | "She walked toward the shutter." | | 17 | "It pressed against her finger," | | 18 | "She looked back at the" | | 19 | "He wasn't staring up at" |
| | ratio | 0.317 | |
| 2.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 82 | | matches | | 0 | "The air in the abandoned" | | 1 | "Harlow Quinn adjusted the strap" | | 2 | "Her boots crunched on the" | | 3 | "The entrance hatch in the" | | 4 | "Light spilled down, illuminating a" | | 5 | "A uniformed officer, new and" | | 6 | "Eva Kowalski pushed herself off" | | 7 | "She carried the weight of" | | 8 | "Her red curls were escaping" | | 9 | "She was checking her fingernails" | | 10 | "Eva said, her voice low" | | 11 | "Quinn replied, her gaze fixed" | | 12 | "A body lay sprawled across" | | 13 | "Eva asked, sidling up" | | 14 | "Quinn stepped over a discarded" | | 15 | "She lowered herself into a" | | 16 | "The victim was a man," | | 17 | "His eyes were wide, staring" | | 18 | "Quinn told the younger officer" | | 19 | "the officer stammered, his voice" |
| | ratio | 0.915 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 82 | | matches | | 0 | "To anyone else, this gloomy" | | 1 | "To Quinn, it was home." |
| | ratio | 0.024 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 16.30% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 5 | | matches | | 0 | "Eva said, her voice low" | | 1 | "the officer stammered, his voice trembling" | | 2 | "Eva noted, her eyes narrowing behind the lenses" | | 3 | "Quinn repeated, her voice flat" | | 4 | "Eva screamed, tears welling in her eyes" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 22 | | fancyCount | 8 | | fancyTags | | 0 | "the officer stammered (stammer)" | | 1 | "Eva noted (note)" | | 2 | "Eva whispered (whisper)" | | 3 | "Quinn muttered (mutter)" | | 4 | "Eva observed (observe)" | | 5 | "Quinn corrected (correct)" | | 6 | "Quinn repeated (repeat)" | | 7 | "Eva screamed (scream)" |
| | dialogueSentences | 46 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0.364 | | effectiveRatio | 0.348 | |