| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1224 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "suddenly" |
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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) | |
| 22.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1224 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "perfect" | | 1 | "weight" | | 2 | "scanned" | | 3 | "sentinels" | | 4 | "silence" | | 5 | "glinting" | | 6 | "etched" | | 7 | "rhythmic" | | 8 | "resonated" | | 9 | "measured" | | 10 | "gloom" | | 11 | "velvet" | | 12 | "porcelain" | | 13 | "silk" | | 14 | "echoed" |
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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 | 92 | | matches | (empty) | |
| 65.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "seem to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1224 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 921 | | uniqueNames | 13 | | maxNameDensity | 1.74 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Camden | 2 | | Italian | 1 | | Miller | 12 | | Rorschach | 1 | | Morris | 1 | | Veil | 1 | | Market | 1 | | Glock | 1 | | North | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.631 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like crossing a threshold" | | 1 | "looked like cracked parchment" | | 2 | "silk that seemed to absorb the light around her" | | 3 | "sigils that seemed to writhe under Quinn's gaze" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.817 | | wordCount | 1224 | | matches | | 0 | "not with dirt, but with a metallic, iridescent soot" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 21.1 | | std | 16.93 | | cv | 0.802 | | sampleLengths | | 0 | 5 | | 1 | 39 | | 2 | 38 | | 3 | 29 | | 4 | 26 | | 5 | 14 | | 6 | 8 | | 7 | 48 | | 8 | 5 | | 9 | 6 | | 10 | 2 | | 11 | 1 | | 12 | 24 | | 13 | 13 | | 14 | 64 | | 15 | 14 | | 16 | 26 | | 17 | 14 | | 18 | 2 | | 19 | 56 | | 20 | 3 | | 21 | 50 | | 22 | 13 | | 23 | 4 | | 24 | 13 | | 25 | 5 | | 26 | 30 | | 27 | 4 | | 28 | 5 | | 29 | 42 | | 30 | 2 | | 31 | 5 | | 32 | 45 | | 33 | 13 | | 34 | 7 | | 35 | 57 | | 36 | 30 | | 37 | 19 | | 38 | 6 | | 39 | 43 | | 40 | 10 | | 41 | 32 | | 42 | 5 | | 43 | 20 | | 44 | 48 | | 45 | 5 | | 46 | 28 | | 47 | 13 | | 48 | 12 | | 49 | 16 |
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| 86.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 92 | | matches | | 0 | "was carved" | | 1 | "were blackened" | | 2 | "was charred" | | 3 | "were shrouded" | | 4 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 153 | | matches | | 0 | "was calling" | | 1 | "were speaking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 118 | | ratio | 0.008 | | matches | | 0 | "The silence here didn't feel empty; it felt occupied." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 924 | | adjectiveStacks | 1 | | stackExamples | | 0 | "large, three-eyed creature" |
| | adverbCount | 25 | | adverbRatio | 0.027056277056277056 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010822510822510822 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 10.37 | | std | 6.26 | | cv | 0.603 | | sampleLengths | | 0 | 5 | | 1 | 17 | | 2 | 6 | | 3 | 16 | | 4 | 5 | | 5 | 22 | | 6 | 11 | | 7 | 13 | | 8 | 16 | | 9 | 2 | | 10 | 4 | | 11 | 10 | | 12 | 10 | | 13 | 14 | | 14 | 8 | | 15 | 3 | | 16 | 13 | | 17 | 14 | | 18 | 4 | | 19 | 14 | | 20 | 5 | | 21 | 3 | | 22 | 3 | | 23 | 2 | | 24 | 1 | | 25 | 24 | | 26 | 5 | | 27 | 8 | | 28 | 17 | | 29 | 4 | | 30 | 12 | | 31 | 12 | | 32 | 19 | | 33 | 5 | | 34 | 9 | | 35 | 26 | | 36 | 14 | | 37 | 2 | | 38 | 2 | | 39 | 13 | | 40 | 11 | | 41 | 10 | | 42 | 20 | | 43 | 3 | | 44 | 7 | | 45 | 25 | | 46 | 18 | | 47 | 10 | | 48 | 3 | | 49 | 4 |
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| 45.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3474576271186441 | | totalSentences | 118 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 91.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 81 | | matches | | 0 | "She didn't look at the" | | 1 | "Her gaze remained fixed on" | | 2 | "He wore a bespoke Italian" | | 3 | "Her sharp jaw tightened." | | 4 | "She didn't believe in quick" | | 5 | "She checked the worn leather" | | 6 | "She leaned closer, the scent" | | 7 | "She noticed a small, circular" | | 8 | "It wasn't a footprint." | | 9 | "It was a perfect ring," | | 10 | "She scanned the perimeter." | | 11 | "She walked toward the tunnel." | | 12 | "She spotted something glinting in" | | 13 | "She reached down and retrieved" | | 14 | "It wasn't a tooth, nor" | | 15 | "It was carved into a" | | 16 | "She felt a cold surge" | | 17 | "She closed her eyes, listening." | | 18 | "She began to walk, her" | | 19 | "She wore a dress of" |
| | ratio | 0.321 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 81 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "She didn't look at the" | | 2 | "Her gaze remained fixed on" | | 3 | "The victim lay face down." | | 4 | "He wore a bespoke Italian" | | 5 | "A single, clean puncture wound" | | 6 | "Miller said, stepping back" | | 7 | "Her sharp jaw tightened." | | 8 | "She didn't believe in quick" | | 9 | "She checked the worn leather" | | 10 | "Quinn ignored him." | | 11 | "She leaned closer, the scent" | | 12 | "She noticed a small, circular" | | 13 | "It wasn't a footprint." | | 14 | "It was a perfect ring," | | 15 | "Miller peered down." | | 16 | "Miller scoffed, shifting his weight." | | 17 | "Quinn rose to her full" | | 18 | "She scanned the perimeter." | | 19 | "The station was a tomb" |
| | ratio | 0.889 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 81 | | matches | | 0 | "To the left, a row" | | 1 | "To the right, a yawning" | | 2 | "Before Quinn could answer, a" |
| | ratio | 0.037 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "Memories of DS Morris flashed through her mind, a blur of screaming shadows and a partner who had vanished into thin air three years ago." | | 1 | "The tunnel opened into a cavernous expanse that shouldn't have existed beneath Camden." | | 2 | "Floating lanterns cast a bruised purple light over a crowd of entities that defied biological classification." | | 3 | "Others possessed too many joints in their limbs, moving with a fluid, sickening grace." | | 4 | "Its casing had a thick patina of verdigris, and the face was etched with protective sigils that seemed to writhe under Quinn's gaze." | | 5 | "Miller was calling her name, his voice sounding distorted, as if he were speaking through a long pipe." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Miller said, his voice dropping" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "Quinn demanded (demand)" | | 2 | "Quinn whispered (whisper)" |
| | dialogueSentences | 36 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0.429 | | effectiveRatio | 0.167 | |