| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Harlow said flatly [flatly]" | | 1 | "Harlow gestured around [around]" |
| | dialogueSentences | 45 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.2 | | effectiveRatio | 0.089 | |
| 62.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1072 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "gently" | | 1 | "lazily" | | 2 | "cautiously" | | 3 | "quickly" | | 4 | "slightly" | | 5 | "completely" |
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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) | |
| 44.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1072 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "mosaic" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "scanning" | | 4 | "echoing" | | 5 | "glinting" | | 6 | "etched" | | 7 | "intricate" | | 8 | "flickered" | | 9 | "methodical" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 58 | | matches | | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1066 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 572 | | uniqueNames | 7 | | maxNameDensity | 3.32 | | worstName | "Harlow" | | maxWindowNameDensity | 5 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 1 | | Harlow | 19 | | Quinn | 1 | | Tube | 1 | | Wilkinson | 10 | | Eva | 10 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Wilkinson" | | 3 | "Eva" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "as if embracing the darkness" |
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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 | 1066 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 23.69 | | std | 14.95 | | cv | 0.631 | | sampleLengths | | 0 | 58 | | 1 | 27 | | 2 | 2 | | 3 | 12 | | 4 | 35 | | 5 | 45 | | 6 | 27 | | 7 | 1 | | 8 | 46 | | 9 | 22 | | 10 | 37 | | 11 | 22 | | 12 | 10 | | 13 | 18 | | 14 | 38 | | 15 | 7 | | 16 | 21 | | 17 | 45 | | 18 | 15 | | 19 | 24 | | 20 | 17 | | 21 | 5 | | 22 | 52 | | 23 | 11 | | 24 | 9 | | 25 | 10 | | 26 | 34 | | 27 | 22 | | 28 | 14 | | 29 | 16 | | 30 | 10 | | 31 | 13 | | 32 | 5 | | 33 | 8 | | 34 | 32 | | 35 | 54 | | 36 | 14 | | 37 | 27 | | 38 | 52 | | 39 | 24 | | 40 | 29 | | 41 | 8 | | 42 | 30 | | 43 | 34 | | 44 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 99 | | matches | (empty) | |
| 49.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 92 | | ratio | 0.033 | | matches | | 0 | "The air hung thick with the scent of damp earth and something else—something metallic and wrong." | | 1 | "Her clothes were expensive—a tailored coat, designer jeans—but torn in places, revealing pale skin beneath." | | 2 | "Harlow's expression didn't change, but her hand instinctively touched the worn leather watch on her left wrist—a gift from Morris on his last birthday." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 577 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.038128249566724434 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.019064124783362217 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.59 | | std | 7.97 | | cv | 0.688 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 16 | | 3 | 17 | | 4 | 10 | | 5 | 2 | | 6 | 8 | | 7 | 4 | | 8 | 26 | | 9 | 9 | | 10 | 7 | | 11 | 13 | | 12 | 15 | | 13 | 8 | | 14 | 2 | | 15 | 8 | | 16 | 19 | | 17 | 1 | | 18 | 16 | | 19 | 11 | | 20 | 19 | | 21 | 7 | | 22 | 15 | | 23 | 11 | | 24 | 14 | | 25 | 12 | | 26 | 13 | | 27 | 9 | | 28 | 8 | | 29 | 2 | | 30 | 12 | | 31 | 6 | | 32 | 6 | | 33 | 24 | | 34 | 8 | | 35 | 7 | | 36 | 8 | | 37 | 13 | | 38 | 9 | | 39 | 13 | | 40 | 23 | | 41 | 3 | | 42 | 12 | | 43 | 6 | | 44 | 18 | | 45 | 12 | | 46 | 5 | | 47 | 5 | | 48 | 11 | | 49 | 34 |
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| 74.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4673913043478261 | | totalSentences | 92 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 54 | | matches | | 0 | "Her footsteps echoed against the" | | 1 | "He adjusted his glasses, the" | | 2 | "Her clothes were expensive—a tailored" | | 3 | "Her leather watch caught the" | | 4 | "She noticed something glinting near" | | 5 | "She stopped when she saw" | | 6 | "She tucked a strand of" | | 7 | "She pulled the compass from" | | 8 | "She looked up, her green" | | 9 | "She paused, tucking her hair" |
| | ratio | 0.185 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 54 | | matches | | 0 | "The rain slicked the pavement" | | 1 | "Her footsteps echoed against the" | | 2 | "The air hung thick with" | | 3 | "He adjusted his glasses, the" | | 4 | "Harlow nodded, her eyes already" | | 5 | "Wilkinson gestured toward the figure" | | 6 | "Harlow approached the body, her" | | 7 | "The victim lay on her" | | 8 | "Her clothes were expensive—a tailored" | | 9 | "Harlow murmured, crouching beside the" | | 10 | "Her leather watch caught the" | | 11 | "Harlow gently lifted the victim's" | | 12 | "The nails were immaculate, dirt-free" | | 13 | "Wilkinson shone his torch at" | | 14 | "Harlow's gaze drifted upward, to" | | 15 | "Water dripped somewhere in the" | | 16 | "She noticed something glinting near" | | 17 | "A small brass compass, its" | | 18 | "The needle spun lazily, never" | | 19 | "Harlow closed her fingers around" |
| | ratio | 0.944 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "Wilkinson fell silent, his torch beam trembling slightly as it illuminated the victim's face, which was indeed beginning to take on an ashen hue." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "She looked up, her green eyes serious" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow murmured (murmur)" | | 1 | "Wilkinson noted (note)" |
| | dialogueSentences | 45 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0.667 | | effectiveRatio | 0.089 | |