| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Whitaker’s hand closed around [around]" |
| | dialogueSentences | 25 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0.111 | | effectiveRatio | 0.08 | |
| 96.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1441 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 34.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1441 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "pulse" | | 3 | "could feel" | | 4 | "flicked" | | 5 | "silence" | | 6 | "echoing" | | 7 | "pulsed" | | 8 | "footsteps" | | 9 | "electric" | | 10 | "flicker" | | 11 | "racing" | | 12 | "trembled" | | 13 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 120 | | matches | | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1418 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.70% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1267 | | uniqueNames | 10 | | maxNameDensity | 1.03 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Harlow | 13 | | Quinn | 1 | | Tom | 1 | | Whitaker | 11 | | Mercer | 4 | | Morris | 5 | | Eva | 1 | | Kowalski | 1 | | Oxford | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tom" | | 3 | "Whitaker" | | 4 | "Mercer" | | 5 | "Morris" | | 6 | "Eva" | | 7 | "Kowalski" |
| | places | | | globalScore | 0.987 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 3 | | matches | | 0 | "something like them before" | | 1 | "quite hold itself together" | | 2 | "looked like it had been hollowed out from" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 5 | | per1kWords | 3.526 | | wordCount | 1418 | | matches | | 0 | "not just fear, but the dawning comprehension of something impossible" | | 1 | "Not just the usual weight of death, but something else" | | 2 | "Not just absence of light, but something solid, something" | | 3 | "Not a rat, not a trick of the light—a shape, humanoid but wrong, its edges blurring as if it couldn’t quite hold itsel" | | 4 | "not a trick of the light—a shape, humanoid but wrong, its edges blurring as if it couldn’t quite hold itsel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 28.94 | | std | 27.37 | | cv | 0.946 | | sampleLengths | | 0 | 94 | | 1 | 72 | | 2 | 43 | | 3 | 50 | | 4 | 56 | | 5 | 17 | | 6 | 70 | | 7 | 7 | | 8 | 88 | | 9 | 3 | | 10 | 2 | | 11 | 8 | | 12 | 68 | | 13 | 3 | | 14 | 1 | | 15 | 57 | | 16 | 3 | | 17 | 9 | | 18 | 5 | | 19 | 51 | | 20 | 12 | | 21 | 15 | | 22 | 23 | | 23 | 51 | | 24 | 4 | | 25 | 52 | | 26 | 54 | | 27 | 8 | | 28 | 16 | | 29 | 46 | | 30 | 7 | | 31 | 27 | | 32 | 7 | | 33 | 59 | | 34 | 8 | | 35 | 2 | | 36 | 4 | | 37 | 3 | | 38 | 99 | | 39 | 36 | | 40 | 7 | | 41 | 12 | | 42 | 12 | | 43 | 41 | | 44 | 51 | | 45 | 10 | | 46 | 21 | | 47 | 17 | | 48 | 7 |
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| 76.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 10 | | totalSentences | 120 | | matches | | 0 | "was hunched" | | 1 | "been tossed" | | 2 | "was frozen" | | 3 | "were blown" | | 4 | "was mottled" | | 5 | "were blackened" | | 6 | "been abandoned" | | 7 | "were drawn" | | 8 | "was etched" | | 9 | "been hollowed" | | 10 | "been logged" |
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| 78.23% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 219 | | matches | | 0 | "wasn’t pointing" | | 1 | "was seeing" | | 2 | "was staring" | | 3 | "wasn’t letting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 134 | | ratio | 0.09 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the back of the throat like rust." | | 1 | "He was hunched over a body—or what was left of one." | | 2 | "Not just the usual weight of death, but something else—something that made the hairs on her arms prickle." | | 3 | "It was mottled, like bruises blooming beneath the surface, and his fingertips—she leaned closer—were blackened, as if burned from the inside out." | | 4 | "It smelled metallic, but wrong—like copper left too long in the rain." | | 5 | "The symbols etched into the walls were precise, angular—almost like circuit diagrams, if circuits were drawn by someone who understood things that shouldn’t exist." | | 6 | "She could feel it, even through the latex—a low, thrumming vibration, like a live wire humming just beyond hearing." | | 7 | "Not a rat, not a trick of the light—a shape, humanoid but wrong, its edges blurring as if it couldn’t quite hold itself together." | | 8 | "Her watch beeped—midnight." | | 9 | "She recognized it instantly—the same smooth, yellowed bone she’d seen in Morris’s evidence photos." | | 10 | "The platform teemed with figures—some human, some not—bartering in hushed, guttural tongues." | | 11 | "The red-haired researcher had been Morris’s “occult consultant” before his death—before Harlow had dismissed her as a crank, another Oxford grad chasing ghosts for tenure points." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1285 | | adjectiveStacks | 2 | | stackExamples | | 0 | "heavier, pressing against her" | | 1 | "same smooth, yellowed bone" |
| | adverbCount | 45 | | adverbRatio | 0.03501945525291829 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007782101167315175 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 10.58 | | std | 7.06 | | cv | 0.667 | | sampleLengths | | 0 | 21 | | 1 | 16 | | 2 | 27 | | 3 | 21 | | 4 | 3 | | 5 | 6 | | 6 | 12 | | 7 | 11 | | 8 | 26 | | 9 | 23 | | 10 | 3 | | 11 | 9 | | 12 | 5 | | 13 | 18 | | 14 | 5 | | 15 | 3 | | 16 | 23 | | 17 | 27 | | 18 | 9 | | 19 | 15 | | 20 | 22 | | 21 | 6 | | 22 | 4 | | 23 | 2 | | 24 | 15 | | 25 | 3 | | 26 | 20 | | 27 | 12 | | 28 | 12 | | 29 | 13 | | 30 | 10 | | 31 | 7 | | 32 | 8 | | 33 | 31 | | 34 | 16 | | 35 | 24 | | 36 | 3 | | 37 | 6 | | 38 | 3 | | 39 | 2 | | 40 | 5 | | 41 | 3 | | 42 | 13 | | 43 | 9 | | 44 | 13 | | 45 | 20 | | 46 | 13 | | 47 | 3 | | 48 | 1 | | 49 | 9 |
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| 45.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3283582089552239 | | totalSentences | 134 | | uniqueOpeners | 44 | |
| 91.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 109 | | matches | | 0 | "Instead, she walked to the" | | 1 | "Then, a nervous laugh." | | 2 | "Then she saw it." |
| | ratio | 0.028 | |
| 80.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 109 | | matches | | 0 | "She adjusted the cuff of" | | 1 | "He was hunched over a" | | 2 | "His face was frozen in" | | 3 | "She’d been standing outside for" | | 4 | "She kept her voice level." | | 5 | "It was mottled, like bruises" | | 6 | "She reached into her coat" | | 7 | "It smelled metallic, but wrong—like" | | 8 | "She wiped a finger against" | | 9 | "She turned in a slow" | | 10 | "Her fingers twitched." | | 11 | "She’d seen something like them" | | 12 | "She shoved the thought down." | | 13 | "Its casing was etched with" | | 14 | "She didn’t need to pick" | | 15 | "Her breath hitched." | | 16 | "She ignored Whitaker, her pulse" | | 17 | "She could feel it, even" | | 18 | "She didn’t answer." | | 19 | "Her fingers curled into fists." |
| | ratio | 0.349 | |
| 47.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 109 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air was thick with" | | 3 | "She adjusted the cuff of" | | 4 | "Another strange one." | | 5 | "Another scene that didn’t add" | | 6 | "DS Tom Whitaker said, not" | | 7 | "He was hunched over a" | | 8 | "The victim lay sprawled near" | | 9 | "His face was frozen in" | | 10 | "She’d been standing outside for" | | 11 | "The station’s energy was wrong." | | 12 | "She kept her voice level." | | 13 | "Whitaker finally looked up, his" | | 14 | "Harlow crouched beside the body," | | 15 | "Mercer’s pupils were blown, sure," | | 16 | "It was mottled, like bruises" | | 17 | "Harlow didn’t answer." | | 18 | "She reached into her coat" | | 19 | "The skin there was slick" |
| | ratio | 0.826 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Because she knew, now, what" |
| | ratio | 0.009 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the back of the throat like rust." | | 1 | "The victim lay sprawled near the edge of the platform, limbs twisted at unnatural angles, as if he’d been tossed aside by something stronger than gravity." | | 2 | "Not just the usual weight of death, but something else—something that made the hairs on her arms prickle." | | 3 | "Whitaker finally looked up, his boyish face creased with the kind of frown that meant he was already leaning toward the easiest explanation." | | 4 | "It was mottled, like bruises blooming beneath the surface, and his fingertips—she leaned closer—were blackened, as if burned from the inside out." | | 5 | "The symbols etched into the walls were precise, angular—almost like circuit diagrams, if circuits were drawn by someone who understood things that shouldn’t exi…" | | 6 | "Whitaker opened his mouth to argue, but she was already walking away, her mind racing faster than her steps." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "DS Tom Whitaker said, not looking up from his notebook" | | 1 | "she said, her voice steady despite the adrenaline coursing through her" |
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| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow lied (lie)" | | 1 | "Whitaker muttered (mutter)" |
| | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.4 | | effectiveRatio | 0.16 | |