| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said carefully [carefully]" |
| | dialogueSentences | 33 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.111 | | effectiveRatio | 0.061 | |
| 79.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1201 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "carefully" |
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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) | |
| 41.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1201 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "shattered" | | 1 | "chill" | | 2 | "stomach" | | 3 | "scanning" | | 4 | "flickered" | | 5 | "tracing" | | 6 | "jaw clenched" | | 7 | "silence" | | 8 | "footsteps" | | 9 | "echoed" | | 10 | "pulse" | | 11 | "trembled" | | 12 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 27 | | totalWords | 1184 | | ratio | 0.023 | | matches | | 0 | "Bone token." | | 1 | "but they hadn’t been like that earlier" | | 2 | "cardiac arrest" | | 3 | "They move in blind spots" | | 4 | "Mark their doors with bone." | | 5 | "rippled" | | 6 | "Veil Market." | | 7 | "placed" | | 8 | "cleansed" | | 9 | "hummed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 825 | | uniqueNames | 5 | | maxNameDensity | 2.18 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Reed | 9 | | Morris | 5 | | Eva | 8 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Reed" | | 3 | "Morris" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.409 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 31.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.689 | | wordCount | 1184 | | matches | | 0 | "Not supposed to be real, but…” Eva’s voice dipped" | | 1 | "no one but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 148 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 16.91 | | std | 15.22 | | cv | 0.9 | | sampleLengths | | 0 | 56 | | 1 | 41 | | 2 | 36 | | 3 | 12 | | 4 | 31 | | 5 | 5 | | 6 | 58 | | 7 | 53 | | 8 | 3 | | 9 | 17 | | 10 | 41 | | 11 | 8 | | 12 | 17 | | 13 | 3 | | 14 | 9 | | 15 | 38 | | 16 | 22 | | 17 | 6 | | 18 | 12 | | 19 | 33 | | 20 | 3 | | 21 | 1 | | 22 | 11 | | 23 | 4 | | 24 | 36 | | 25 | 13 | | 26 | 5 | | 27 | 14 | | 28 | 23 | | 29 | 3 | | 30 | 5 | | 31 | 4 | | 32 | 5 | | 33 | 1 | | 34 | 38 | | 35 | 3 | | 36 | 5 | | 37 | 8 | | 38 | 2 | | 39 | 47 | | 40 | 11 | | 41 | 25 | | 42 | 19 | | 43 | 4 | | 44 | 47 | | 45 | 17 | | 46 | 11 | | 47 | 30 | | 48 | 16 | | 49 | 41 |
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| 96.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 125 | | matches | | 0 | "were smeared" | | 1 | "were curled" | | 2 | "been used" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 154 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 148 | | ratio | 0.074 | | matches | | 0 | "The tunnel walls, once cream and grey ceramic, were smeared with black mold and something darker—something that didn’t rinse away." | | 1 | "Face settled into something almost peaceful—too peaceful." | | 2 | "Just the body, laid out straight, arms at his sides now—*but they hadn’t been like that earlier*, she noted." | | 3 | "Three years ago, Morris had died like this—no wounds, no cause, just a man found too clean in a place too quiet." | | 4 | "She’d seen symbols like it in Morris’s notes—scrawled in margins, dismissed as paranoia." | | 5 | "A gust of wind rushed through the tunnel, sudden and wrong—no source, no draft that could explain it." | | 6 | "A symbol, drawn in ash or soot—three interlocking spirals, each bisected by a vertical line." | | 7 | "Then footsteps—light, fast—echoed from the tunnel behind them." | | 8 | "The needle trembled—still spinning." | | 9 | "It was speaking a language no one but her—no one who’d lost someone like Morris—could hear." | | 10 | "Quinn studied the woman—the fear beneath the calm, the weight in her satchel, the way her eyes kept flicking to the tunnel." |
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| 96.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 841 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04399524375743163 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007134363852556481 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 7.99 | | std | 6.8 | | cv | 0.85 | | sampleLengths | | 0 | 14 | | 1 | 20 | | 2 | 22 | | 3 | 16 | | 4 | 14 | | 5 | 2 | | 6 | 4 | | 7 | 5 | | 8 | 20 | | 9 | 10 | | 10 | 6 | | 11 | 12 | | 12 | 31 | | 13 | 3 | | 14 | 2 | | 15 | 8 | | 16 | 14 | | 17 | 3 | | 18 | 7 | | 19 | 9 | | 20 | 17 | | 21 | 3 | | 22 | 2 | | 23 | 4 | | 24 | 7 | | 25 | 10 | | 26 | 19 | | 27 | 8 | | 28 | 3 | | 29 | 4 | | 30 | 13 | | 31 | 6 | | 32 | 22 | | 33 | 6 | | 34 | 5 | | 35 | 2 | | 36 | 5 | | 37 | 3 | | 38 | 17 | | 39 | 3 | | 40 | 9 | | 41 | 7 | | 42 | 4 | | 43 | 1 | | 44 | 1 | | 45 | 13 | | 46 | 7 | | 47 | 5 | | 48 | 5 | | 49 | 17 |
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| 73.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4594594594594595 | | totalSentences | 148 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 95 | | matches | | 0 | "Too late for this." | | 1 | "Too late for anything clean." | | 2 | "Just the body, laid out" | | 3 | "Too many nights chasing ghosts." | | 4 | "Then she saw it." | | 5 | "Almost erased by moisture." | | 6 | "Then footsteps—light, fast—echoed from the" |
| | ratio | 0.074 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 95 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "Her stomach tightened." | | 2 | "She leaned closer." | | 3 | "She hadn’t believed it then." | | 4 | "She stood, scanning the platform." | | 5 | "She’d seen symbols like it" | | 6 | "*They move in blind spots*," | | 7 | "She handed the bag back." | | 8 | "She rubbed her temple." | | 9 | "She knelt, tracing it with" | | 10 | "He stepped closer." | | 11 | "She pulled a penlight from" | | 12 | "Her jaw clenched." | | 13 | "It was a threshold." | | 14 | "She knew better." | | 15 | "Her watch ticked." | | 16 | "She stopped short at the" | | 17 | "Her left hand kept tucking" | | 18 | "It pointed straight down the" | | 19 | "It was speaking a language" |
| | ratio | 0.232 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 95 | | matches | | 0 | "Rainwater dripped through cracks in" | | 1 | "The tunnel walls, once cream" | | 2 | "Detective Harlow Quinn stepped off" | | 3 | "She adjusted the worn leather" | | 4 | "A man in a navy" | | 5 | "DS Reed, young, keen, already" | | 6 | "Quinn’s voice cut through the" | | 7 | "Reed held up a clear" | | 8 | "Her stomach tightened." | | 9 | "Quinn crouched beside the corpse" | | 10 | "Lips slightly parted, eyes shut" | | 11 | "She leaned closer." | | 12 | "The tracks hadn’t been used" | | 13 | "The dirt beside his right" | | 14 | "Reed checked his tablet." | | 15 | "Quinn exhaled sharply through her" | | 16 | "The report had said *cardiac" | | 17 | "She hadn’t believed it then." | | 18 | "She stood, scanning the platform." | | 19 | "Quinn turned the bag in" |
| | ratio | 0.737 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "The tunnel walls, once cream and grey ceramic, were smeared with black mold and something darker—something that didn’t rinse away." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "She paused, the ghost of Morris’s silence pressing against her ribs" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.061 | | leniency | 0.121 | | rawRatio | 0 | | effectiveRatio | 0 | |