| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn glanced back [back]" |
| | dialogueSentences | 27 | | tagDensity | 0.519 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 72.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1080 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "very" | | 3 | "reluctantly" |
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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) | |
| 35.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1080 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "velvet" | | 2 | "scanned" | | 3 | "otherworldly" | | 4 | "echoing" | | 5 | "amidst" | | 6 | "gleaming" | | 7 | "etched" | | 8 | "tracing" | | 9 | "flickered" | | 10 | "flicked" | | 11 | "reminder" | | 12 | "silence" |
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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 | 1 | | narrationSentences | 98 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | 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 | 1077 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 1 | | matches | | 0 | "The Veil Market, they called it." |
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| 82.84% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 819 | | uniqueNames | 11 | | maxNameDensity | 1.34 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Lock | 1 | | Harlow | 1 | | Quinn | 11 | | Veil | 3 | | Market | 3 | | Davies | 7 | | Fine | 1 | | Camden | 2 | | Compass | 1 | | Morris | 2 |
| | persons | | 0 | "Lock" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Davies" | | 4 | "Morris" |
| | places | | | globalScore | 0.828 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1077 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 32.64 | | std | 16.85 | | cv | 0.516 | | sampleLengths | | 0 | 61 | | 1 | 27 | | 2 | 45 | | 3 | 23 | | 4 | 63 | | 5 | 40 | | 6 | 59 | | 7 | 52 | | 8 | 34 | | 9 | 55 | | 10 | 14 | | 11 | 33 | | 12 | 30 | | 13 | 67 | | 14 | 8 | | 15 | 18 | | 16 | 31 | | 17 | 32 | | 18 | 28 | | 19 | 8 | | 20 | 38 | | 21 | 40 | | 22 | 41 | | 23 | 28 | | 24 | 8 | | 25 | 36 | | 26 | 42 | | 27 | 20 | | 28 | 19 | | 29 | 5 | | 30 | 43 | | 31 | 15 | | 32 | 14 |
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| 83.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 98 | | matches | | 0 | "been found" | | 1 | "being held" | | 2 | "was etched" | | 3 | "were clasped" | | 4 | "being questioned" | | 5 | "being questioned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 39.90% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 111 | | ratio | 0.036 | | matches | | 0 | "A man, mid-thirties, dressed in oddly antiquated clothes—a velvet waistcoat, lace cuffs, high-waisted trousers— everything meticulously clean despite the surroundings." | | 1 | "The stall where the man had been found was meticulously arranged – bolts of shimmering, otherworldly fabric, glass bottles filled with viscous liquids, and a scattering of strange, dried herbs." | | 2 | "A Veil Compass – a notoriously difficult item to acquire, even within the Market itself." | | 3 | "A sudden memory flickered in her mind—a blurry image of her late partner, DS Morris, staring at a similar compass, his face etched with a mixture of fear and fascination." |
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| 76.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 822 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.0535279805352798 | | lyAdverbCount | 28 | | lyAdverbRatio | 0.0340632603406326 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 9.7 | | std | 6.82 | | cv | 0.703 | | sampleLengths | | 0 | 19 | | 1 | 10 | | 2 | 9 | | 3 | 8 | | 4 | 15 | | 5 | 6 | | 6 | 15 | | 7 | 6 | | 8 | 16 | | 9 | 20 | | 10 | 7 | | 11 | 1 | | 12 | 1 | | 13 | 7 | | 14 | 9 | | 15 | 7 | | 16 | 10 | | 17 | 11 | | 18 | 12 | | 19 | 15 | | 20 | 4 | | 21 | 1 | | 22 | 10 | | 23 | 26 | | 24 | 14 | | 25 | 9 | | 26 | 30 | | 27 | 18 | | 28 | 2 | | 29 | 13 | | 30 | 12 | | 31 | 3 | | 32 | 24 | | 33 | 34 | | 34 | 10 | | 35 | 11 | | 36 | 17 | | 37 | 10 | | 38 | 2 | | 39 | 5 | | 40 | 8 | | 41 | 2 | | 42 | 4 | | 43 | 6 | | 44 | 15 | | 45 | 6 | | 46 | 6 | | 47 | 8 | | 48 | 3 | | 49 | 2 |
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| 64.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4144144144144144 | | totalSentences | 111 | | uniqueOpeners | 46 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "At least, not that she" |
| | ratio | 0.012 | |
| 99.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 83 | | matches | | 0 | "he offered, adjusting his collar" | | 1 | "She noticed a peculiar stillness" | | 2 | "Her fingers brushed against the" | | 3 | "She picked up a small," | | 4 | "It was empty." | | 5 | "She tapped the box against" | | 6 | "It was almost invisible, like" | | 7 | "She reached out, her fingers" | | 8 | "She pulled out a small" | | 9 | "It clung stubbornly to the" | | 10 | "She stood, her gaze sweeping" | | 11 | "Her eyes landed on the" | | 12 | "It sat amidst the fabrics," | | 13 | "She leaned closer, examining them" | | 14 | "She pulled out her phone," | | 15 | "She turned her attention back" | | 16 | "It was pointing towards the" | | 17 | "He’d been investigating something, something" | | 18 | "she ordered, her voice sharper" | | 19 | "She paused, her gaze fixed" |
| | ratio | 0.301 | |
| 32.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 83 | | matches | | 0 | "Rain slicked the grimy brick" | | 1 | "Camden Lock bustled above, oblivious" | | 2 | "The air tasted of damp" | | 3 | "something acrid and faintly floral," | | 4 | "Detective Harlow Quinn ignored the" | | 5 | "The Veil Market, they called" | | 6 | "A whispered legend amongst the" | | 7 | "A body lay sprawled on" | | 8 | "A man, mid-thirties, dressed in" | | 9 | "Sergeant Davies hovered nearby, looking" | | 10 | "he offered, adjusting his collar" | | 11 | "Quinn knelt beside the body," | | 12 | "The man's eyes were wide" | | 13 | "She noticed a peculiar stillness" | | 14 | "Her fingers brushed against the" | | 15 | "This wasn’t a random visitor" | | 16 | "Davies shuffled his feet, avoiding" | | 17 | "Quinn’s eyes scanned the immediate" | | 18 | "The stall where the man" | | 19 | "The stall owner, a gaunt" |
| | ratio | 0.855 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "Detective Harlow Quinn ignored the chill seeping into her bones, her gaze sweeping the scene." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 7 | | matches | | 0 | "Quinn asked, her voice low, gravelly" | | 1 | "She tapped, the sound echoing in the cavernous space" | | 2 | "Davies said, his voice rising slightly," | | 3 | "Quinn murmured, her eyes narrowed" | | 4 | "she ordered, her voice sharper now" | | 5 | "Quinn instructed, her voice clipped" | | 6 | "she rasped, her voice surprisingly soft, laced with a tremor" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "she ordered (order)" |
| | dialogueSentences | 27 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0.4 | | effectiveRatio | 0.148 | |