| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva called softly [softly]" |
| | dialogueSentences | 56 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.05 | | effectiveRatio | 0.036 | |
| 90.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1566 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "really" | | 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) | |
| 29.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1566 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "echoed" | | 1 | "pulse" | | 2 | "scanning" | | 3 | "flicked" | | 4 | "etched" | | 5 | "standard" | | 6 | "eyebrow" | | 7 | "flicker" | | 8 | "pulsed" | | 9 | "aligned" | | 10 | "pumping" | | 11 | "mechanical" | | 12 | "resonance" | | 13 | "gloom" | | 14 | "scanned" | | 15 | "traced" | | 16 | "trembled" | | 17 | "measured" | | 18 | "footsteps" | | 19 | "echoing" |
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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 | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 126 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 162 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1545 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 12.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1021 | | uniqueNames | 15 | | maxNameDensity | 2.74 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 28 | | Tube | 1 | | Crime | 1 | | Scene | 1 | | Do | 1 | | Cross | 1 | | Inspector | 1 | | Shearer | 13 | | Merrick | 1 | | Eva | 15 | | Kowalski | 1 | | Veil | 2 | | Compass | 2 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Shearer" | | 3 | "Merrick" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Compass" |
| | places | | | globalScore | 0.129 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like blackened rose petals" |
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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 | 1545 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 162 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 30.29 | | std | 17.58 | | cv | 0.58 | | sampleLengths | | 0 | 64 | | 1 | 64 | | 2 | 33 | | 3 | 7 | | 4 | 24 | | 5 | 58 | | 6 | 3 | | 7 | 12 | | 8 | 57 | | 9 | 12 | | 10 | 35 | | 11 | 37 | | 12 | 24 | | 13 | 32 | | 14 | 8 | | 15 | 60 | | 16 | 8 | | 17 | 43 | | 18 | 39 | | 19 | 19 | | 20 | 7 | | 21 | 41 | | 22 | 37 | | 23 | 14 | | 24 | 59 | | 25 | 48 | | 26 | 23 | | 27 | 36 | | 28 | 11 | | 29 | 18 | | 30 | 6 | | 31 | 14 | | 32 | 50 | | 33 | 36 | | 34 | 37 | | 35 | 31 | | 36 | 40 | | 37 | 10 | | 38 | 43 | | 39 | 53 | | 40 | 22 | | 41 | 32 | | 42 | 45 | | 43 | 3 | | 44 | 7 | | 45 | 15 | | 46 | 28 | | 47 | 48 | | 48 | 20 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 202 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 4 | | flaggedSentences | 12 | | totalSentences | 162 | | ratio | 0.074 | | matches | | 0 | "Her leather watch tapped midnight; she inhaled industrial dust and something darker—an unsettling musk that made her pulse sharpen." | | 1 | "Inside, the body lay splayed on the cold concrete—an artisanal corpse in powdered silks, draped with what looked like blackened rose petals." | | 2 | "It crumbled at her touch—brittle ash." | | 3 | "Curly red hair caught in the light; round glasses perched on her nose." | | 4 | "The ash lines—when refracted by the overhead lamp—glowed faintly umber." | | 5 | "A faint thrum—a heartbeat beneath the metal." | | 6 | "Cold air whooshed up the platform, carrying the stench of mildew and something else—petrichor mixed with dust." | | 7 | "“No one disturbs anything until I say.” Her tone brooked no argument; he stayed silent." | | 8 | "A small brass compass casing lay half-buried in gravel—another Veil Compass." | | 9 | "No weapon, no spatter—just this arcane transaction." | | 10 | "Quinn’s lungs burned from the stale air; her fingers tingled." | | 11 | "She listened for footsteps on the other side—and something quieter: a heartbeat, faint but steady, echoing in the dark." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1041 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.023054755043227664 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007684918347742555 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 162 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 162 | | mean | 9.54 | | std | 6.38 | | cv | 0.669 | | sampleLengths | | 0 | 16 | | 1 | 14 | | 2 | 15 | | 3 | 19 | | 4 | 9 | | 5 | 19 | | 6 | 22 | | 7 | 3 | | 8 | 11 | | 9 | 13 | | 10 | 6 | | 11 | 14 | | 12 | 5 | | 13 | 2 | | 14 | 4 | | 15 | 20 | | 16 | 5 | | 17 | 10 | | 18 | 5 | | 19 | 2 | | 20 | 14 | | 21 | 6 | | 22 | 7 | | 23 | 9 | | 24 | 3 | | 25 | 2 | | 26 | 10 | | 27 | 11 | | 28 | 13 | | 29 | 13 | | 30 | 3 | | 31 | 17 | | 32 | 4 | | 33 | 8 | | 34 | 10 | | 35 | 13 | | 36 | 12 | | 37 | 6 | | 38 | 8 | | 39 | 23 | | 40 | 3 | | 41 | 10 | | 42 | 7 | | 43 | 4 | | 44 | 6 | | 45 | 22 | | 46 | 4 | | 47 | 4 | | 48 | 4 | | 49 | 4 |
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| 63.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.38271604938271603 | | totalSentences | 162 | | uniqueOpeners | 62 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 91.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 112 | | matches | | 0 | "Her leather watch tapped midnight;" | | 1 | "She knelt at the edge" | | 2 | "He shook his head." | | 3 | "She crouched beside the body" | | 4 | "It crumbled at her touch—brittle" | | 5 | "She drew her finger back" | | 6 | "She tucked a strand behind" | | 7 | "She flicked a glance at" | | 8 | "She flipped open a leather-bound" | | 9 | "She pointed to half-buried lines" | | 10 | "She’d thought them staining by" | | 11 | "She swept her gloved hand" | | 12 | "She pointed to the pool" | | 13 | "She tapped one ash rune" | | 14 | "She’d chased whispers and dead" | | 15 | "She reached into her coat" | | 16 | "She noticed Shearer’s flicker of" | | 17 | "He didn’t know of her" | | 18 | "She expanded her palm, angling" | | 19 | "It aligned in the direction" |
| | ratio | 0.321 | |
| 35.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 112 | | matches | | 0 | "Detective Harlow Quinn’s boots echoed" | | 1 | "The stale hush of the" | | 2 | "Her leather watch tapped midnight;" | | 3 | "She knelt at the edge" | | 4 | "Quinn’s eyes narrowed." | | 5 | "Nothing about this tableau was" | | 6 | "Detective Inspector Shearer stood to" | | 7 | "Quinn’s voice stayed low, flat." | | 8 | "He shook his head." | | 9 | "Quinn rose, scanning the floor." | | 10 | "The pool of dark red" | | 11 | "She crouched beside the body" | | 12 | "It crumbled at her touch—brittle" | | 13 | "She drew her finger back" | | 14 | "She tucked a strand behind" | | 15 | "Quinn’s chest tightened." | | 16 | "Eva wasn’t police, but she’d" | | 17 | "Eva called softly" | | 18 | "Quinn said, straightening" | | 19 | "She flicked a glance at" |
| | ratio | 0.848 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 112 | | matches | | 0 | "Before Quinn could reply, Eva" | | 1 | "Now they looked deliberate." |
| | ratio | 0.018 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "Her leather watch tapped midnight; she inhaled industrial dust and something darker—an unsettling musk that made her pulse sharpen." | | 1 | "She flicked a glance at Shearer, who gave a curt nod of approval." | | 2 | "Behind the sealed door, the compass needle trembled, as though impatient." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "She swept, eyes carved as if to follow" |
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| 96.43% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Quinn pressed (press)" | | 2 | "she observed (observe)" |
| | dialogueSentences | 56 | | tagDensity | 0.161 | | leniency | 0.321 | | rawRatio | 0.333 | | effectiveRatio | 0.107 | |