| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stood abruptly [abruptly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 61 | | tagDensity | 0.328 | | leniency | 0.656 | | rawRatio | 0.1 | | effectiveRatio | 0.066 | |
| 87.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1556 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "sharply" | | 3 | "slowly" |
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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) | |
| 32.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1556 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "tension" | | 1 | "scanning" | | 2 | "pristine" | | 3 | "stomach" | | 4 | "etched" | | 5 | "pulsed" | | 6 | "pulse" | | 7 | "shimmered" | | 8 | "silence" | | 9 | "racing" | | 10 | "marble" | | 11 | "weight" | | 12 | "amidst" | | 13 | "flickered" | | 14 | "flicked" |
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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 | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 40 | | markdownWords | 48 | | totalWords | 1539 | | ratio | 0.031 | | matches | | 0 | "was" | | 1 | "sharp" | | 2 | "suit" | | 3 | "held" | | 4 | "Classified" | | 5 | "token" | | 6 | "what" | | 7 | "For the debt unpaid" | | 8 | "die" | | 9 | "vanished" | | 10 | "shimmered" | | 11 | "gate" | | 12 | "Eva" | | 13 | "changed" | | 14 | "history" | | 15 | "Logic" | | 16 | "logic" | | 17 | "this" | | 18 | "stepped out" | | 19 | "portal" | | 20 | "entertain" | | 21 | "now" | | 22 | "was" | | 23 | "what" | | 24 | "bone tokens" | | 25 | "particular" | | 26 | "click" | | 27 | "threshold" | | 28 | "is" | | 29 | "debt collector" | | 30 | "payment" | | 31 | "years" | | 32 | "souls" | | 33 | "what" | | 34 | "shell" | | 35 | "replaces" | | 36 | "what" | | 37 | "isn’t him anymore" | | 38 | "human" | | 39 | "customer" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1114 | | uniqueNames | 16 | | maxNameDensity | 1.89 | | worstName | "Harlow" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Quinn | 1 | | Veil | 3 | | Compass | 2 | | Tube | 1 | | Constable | 1 | | Tom | 1 | | Reeves | 9 | | Camden | 1 | | North | 1 | | Harlow | 21 | | Morris | 1 | | Market | 1 | | British | 1 | | Museum | 1 | | Kowalski | 1 | | Eva | 14 |
| | persons | | 0 | "Quinn" | | 1 | "Constable" | | 2 | "Tom" | | 3 | "Reeves" | | 4 | "North" | | 5 | "Harlow" | | 6 | "Morris" | | 7 | "Market" | | 8 | "Museum" | | 9 | "Kowalski" | | 10 | "Eva" |
| | places | (empty) | | globalScore | 0.557 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | 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 | 1539 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 152 | | matches | | 0 | "seen that pin" | | 1 | "seen that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 29.04 | | std | 24.13 | | cv | 0.831 | | sampleLengths | | 0 | 97 | | 1 | 35 | | 2 | 34 | | 3 | 39 | | 4 | 71 | | 5 | 8 | | 6 | 3 | | 7 | 30 | | 8 | 42 | | 9 | 69 | | 10 | 39 | | 11 | 8 | | 12 | 20 | | 13 | 2 | | 14 | 33 | | 15 | 16 | | 16 | 27 | | 17 | 21 | | 18 | 58 | | 19 | 22 | | 20 | 64 | | 21 | 30 | | 22 | 71 | | 23 | 4 | | 24 | 38 | | 25 | 1 | | 26 | 81 | | 27 | 18 | | 28 | 12 | | 29 | 91 | | 30 | 20 | | 31 | 11 | | 32 | 56 | | 33 | 25 | | 34 | 22 | | 35 | 12 | | 36 | 14 | | 37 | 1 | | 38 | 33 | | 39 | 6 | | 40 | 41 | | 41 | 9 | | 42 | 11 | | 43 | 13 | | 44 | 54 | | 45 | 7 | | 46 | 10 | | 47 | 44 | | 48 | 27 | | 49 | 3 |
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| 95.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 113 | | matches | | 0 | "been scrawled" | | 1 | "been used" | | 2 | "was piled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 193 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 152 | | ratio | 0.072 | | matches | | 0 | "Harlow Quinn didn’t need the Veil Compass to tell her something was wrong—she could smell it." | | 1 | "The abandoned station—Camden North, according to the faded sign—hadn’t seen passengers in decades, but the graffiti here was fresh." | | 2 | "Not a body—a *suit*." | | 3 | "The lapel pin—a silver raven with ruby eyes—gleamed under her torch." | | 4 | "A pocket watch, its chain tangled around something else—bone?" | | 5 | "“Then explain this with *logic*, Tom. Explain why there’s no blood, no signs of struggle, but *this*—” she gestured to the suit—“is standing here like the bloke inside it just *stepped out* for a smoke. Explain why my compass”—she shook the Veil Compass, its needle still spinning wildly—“thinks we’re standing in the middle of a bloody *portal*.”" | | 6 | "The British Museum’s restricted archives smelled of old paper and polished wood, the scent cloying, deliberate—like the place itself was trying to smother secrets under layers of respectability." | | 7 | "The archivist—a gaunt man with the posture of someone who’d spent his life bending over manuscripts—paused outside a heavy oak door." | | 8 | "For a second, something raw flickered across her face—fear?" | | 9 | "Guilt?—before she school her features into careful neutrality." | | 10 | "Then, from the corridor outside, a scream—high, raw, *human*." |
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| 91.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 818 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.05012224938875306 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01589242053789731 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 10.12 | | std | 8.25 | | cv | 0.816 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 24 | | 3 | 20 | | 4 | 20 | | 5 | 21 | | 6 | 14 | | 7 | 13 | | 8 | 14 | | 9 | 7 | | 10 | 15 | | 11 | 12 | | 12 | 12 | | 13 | 8 | | 14 | 8 | | 15 | 14 | | 16 | 19 | | 17 | 5 | | 18 | 1 | | 19 | 13 | | 20 | 3 | | 21 | 5 | | 22 | 3 | | 23 | 3 | | 24 | 24 | | 25 | 6 | | 26 | 12 | | 27 | 13 | | 28 | 9 | | 29 | 2 | | 30 | 2 | | 31 | 4 | | 32 | 2 | | 33 | 4 | | 34 | 21 | | 35 | 11 | | 36 | 3 | | 37 | 25 | | 38 | 3 | | 39 | 5 | | 40 | 9 | | 41 | 1 | | 42 | 2 | | 43 | 10 | | 44 | 12 | | 45 | 6 | | 46 | 2 | | 47 | 14 | | 48 | 6 | | 49 | 2 |
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| 61.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.39473684210526316 | | totalSentences | 152 | | uniqueOpeners | 60 | |
| 97.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 103 | | matches | | 0 | "Then Reeves laughed, high and" | | 1 | "Guilt?—before she school her features" | | 2 | "Then, from the corridor outside," |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 103 | | matches | | 0 | "Her torch beam cut through" | | 1 | "He stood too still, like" | | 2 | "she asked, though she already" | | 3 | "His usual cocky grin was" | | 4 | "It dissolved on contact, leaving" | | 5 | "She stood abruptly, scanning the" | | 6 | "He jerked his chin toward" | | 7 | "She pulled it back." | | 8 | "She’d seen that pin before," | | 9 | "She reached in." | | 10 | "Her fingers brushed cold metal." | | 11 | "She ignored him, turning the" | | 12 | "she said quietly" | | 13 | "she gestured to the suit—“is" | | 14 | "His eyes darted to the" | | 15 | "She tucked the token into" | | 16 | "he said, as if this" | | 17 | "She knocked once, sharp, then" | | 18 | "Her curly red hair was" | | 19 | "She didn’t look up." |
| | ratio | 0.233 | |
| 13.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 103 | | matches | | 0 | "The brass compass needle twitched" | | 1 | "Harlow Quinn didn’t need the" | | 2 | "Copper and burnt sugar, the" | | 3 | "Her torch beam cut through" | | 4 | "Someone had strung it up" | | 5 | "Detective Constable Tom Reeves didn’t" | | 6 | "He stood too still, like" | | 7 | "Harlow stepped over the threshold," | | 8 | "she asked, though she already" | | 9 | "Reeves finally turned, his face" | | 10 | "His usual cocky grin was" | | 11 | "Harlow crouched, pinching a fragment" | | 12 | "It dissolved on contact, leaving" | | 13 | "She stood abruptly, scanning the" | | 14 | "The abandoned station—Camden North, according" | | 15 | "Reeves exhaled through his nose." | | 16 | "He jerked his chin toward" | | 17 | "Harlow moved before he finished" | | 18 | "The CSIs parted without a" | | 19 | "The sheet covered a shape" |
| | ratio | 0.893 | |
| 48.54% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 103 | | matches | | | ratio | 0.01 | |
| 14.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 7 | | matches | | 0 | "Someone had strung it up as an afterthought, the plastic ribbon already sagging as if the very walls resisted containment." | | 1 | "Harlow stepped over the threshold, her boots crunching on something that wasn’t gravel." | | 2 | "Precise, deliberate markings that made her eyes ache if she stared too long." | | 3 | "Harlow moved before he finished speaking, her stride eating up the distance." | | 4 | "Tailored, charcoal grey, the fabric pristine except for the way it *held* its shape, as if an invisible mannequin wore it." | | 5 | "Harlow’s boots clicked against the marble floor as she followed the archivist down a corridor lined with portraits of dead white men who’d never had to explain …" | | 6 | "The archivist—a gaunt man with the posture of someone who’d spent his life bending over manuscripts—paused outside a heavy oak door." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 6 | | matches | | 0 | "Harlow straightened, her gaze flicking to the tunnel’s mouth" | | 1 | "She tucked, her mind racing" | | 2 | "he said, as if this were a warning rather than an apology" | | 3 | "Eva said, her voice light, almost cheerful" | | 4 | "She dusted, though the salt stuck to her fingers" | | 5 | "Eva said, her voice steady, her knuckles white around the hilt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Reeves muttered (mutter)" | | 1 | "her pulse roared (roar)" |
| | dialogueSentences | 61 | | tagDensity | 0.115 | | leniency | 0.23 | | rawRatio | 0.286 | | effectiveRatio | 0.066 | |