| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1118 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 10.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1118 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "weight" | | 1 | "structure" | | 2 | "warmth" | | 3 | "glinting" | | 4 | "familiar" | | 5 | "echoing" | | 6 | "palpable" | | 7 | "tension" | | 8 | "gloom" | | 9 | "velvet" | | 10 | "glint" | | 11 | "could feel" | | 12 | "cataloged" | | 13 | "unwavering" | | 14 | "stark" | | 15 | "chilling" | | 16 | "shattered" | | 17 | "chaotic" |
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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 | 77 | | matches | | |
| 87.20% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1109 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 932 | | uniqueNames | 17 | | maxNameDensity | 0.75 | | worstName | "Herrera" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Quinn | 5 | | Morris | 2 | | Herrera | 7 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Soho | 1 | | Saint | 1 | | Christopher | 1 | | Shaftesbury | 1 | | Avenue | 1 | | Veil | 3 | | Market | 3 | | Camden | 1 | | Tube | 1 | | Tomás | 2 |
| | persons | | 0 | "Detective" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Herrera" | | 4 | "Silas" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Shaftesbury" | | 3 | "Avenue" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.902 | | wordCount | 1109 | | matches | | 0 | "not out of aggression, but out of a cold, unwavering alertness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 42.65 | | std | 26.48 | | cv | 0.621 | | sampleLengths | | 0 | 113 | | 1 | 89 | | 2 | 4 | | 3 | 73 | | 4 | 76 | | 5 | 55 | | 6 | 21 | | 7 | 58 | | 8 | 16 | | 9 | 41 | | 10 | 32 | | 11 | 22 | | 12 | 21 | | 13 | 15 | | 14 | 48 | | 15 | 13 | | 16 | 38 | | 17 | 50 | | 18 | 54 | | 19 | 37 | | 20 | 21 | | 21 | 24 | | 22 | 56 | | 23 | 45 | | 24 | 11 | | 25 | 76 |
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| 96.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 77 | | matches | | 0 | "been whispered" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "She followed the subtle signs – a dropped handkerchief embroidered with a stylized raven, a faint scent of sandalwood and night-blooming jasmine, the nervous tread of someone accustomed to moving unseen." | | 1 | "The passage opened into a vast, echoing chamber—The Veil Market." | | 2 | "Figures moved in the gloom—shadowy shapes draped in velvet, faces obscured by hoods, the glint of unfamiliar metal on belts and wrists." | | 3 | "It wasn’t just a case; it was a personal obsession." | | 4 | "She held a small, intricately carved box made of bone—exactly the kind of token required to enter the Veil Market." | | 5 | "They moved with a chilling, unnatural grace—predators." | | 6 | "The Veil Market wasn't just a black market—it was a gateway." |
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| 89.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 941 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, tarnished silver locket" |
| | adverbCount | 36 | | adverbRatio | 0.03825717321997875 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.025504782146652496 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 12.9 | | std | 7.22 | | cv | 0.56 | | sampleLengths | | 0 | 13 | | 1 | 18 | | 2 | 19 | | 3 | 1 | | 4 | 5 | | 5 | 2 | | 6 | 18 | | 7 | 25 | | 8 | 12 | | 9 | 11 | | 10 | 16 | | 11 | 16 | | 12 | 5 | | 13 | 26 | | 14 | 12 | | 15 | 1 | | 16 | 2 | | 17 | 4 | | 18 | 16 | | 19 | 31 | | 20 | 26 | | 21 | 10 | | 22 | 8 | | 23 | 10 | | 24 | 16 | | 25 | 16 | | 26 | 16 | | 27 | 22 | | 28 | 14 | | 29 | 12 | | 30 | 7 | | 31 | 3 | | 32 | 18 | | 33 | 15 | | 34 | 7 | | 35 | 22 | | 36 | 14 | | 37 | 10 | | 38 | 6 | | 39 | 20 | | 40 | 14 | | 41 | 7 | | 42 | 9 | | 43 | 23 | | 44 | 14 | | 45 | 8 | | 46 | 12 | | 47 | 9 | | 48 | 5 | | 49 | 10 |
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| 60.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3953488372093023 | | totalSentences | 86 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Just a labyrinth of dimly" | | 1 | "Then, he gestured with a" | | 2 | "Suddenly, two figures emerged from" |
| | ratio | 0.042 | |
| 47.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 72 | | matches | | 0 | "It tasted of soot and" | | 1 | "Her worn leather watch, a" | | 2 | "She needed to close this." | | 3 | "She’d tracked him to The" | | 4 | "He hadn’t looked up when" | | 5 | "She followed the subtle signs" | | 6 | "It wasn’t a market in" | | 7 | "She could feel it, a" | | 8 | "She moved through the crowd," | | 9 | "Her hand instinctively rested on" | | 10 | "She turned to find Herrera" | | 11 | "He looked remarkably calm, considering" | | 12 | "she said, her voice flat" | | 13 | "he replied, his brown eyes" | | 14 | "she repeated, the word tasting" | | 15 | "He shrugged, a dismissive gesture." | | 16 | "It wasn’t just a case;" | | 17 | "She took a step closer," | | 18 | "He didn’t answer immediately." | | 19 | "He simply regarded her with" |
| | ratio | 0.431 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "The rain plastered Detective Quinn’s" | | 1 | "It tasted of soot and" | | 2 | "Her worn leather watch, a" | | 3 | "She needed to close this." | | 4 | "The name had been whispered" | | 5 | "A paramedic with a penchant" | | 6 | "She’d tracked him to The" | | 7 | "The green neon sign bled" | | 8 | "something faintly herbal and unsettling." | | 9 | "Herrera had been nursing a" | | 10 | "He hadn’t looked up when" | | 11 | "A trail of rain-slicked cobblestones" | | 12 | "She followed the subtle signs" | | 13 | "The trail led her down" | | 14 | "The passage opened into a" | | 15 | "It wasn’t a market in" | | 16 | "The air here was colder," | | 17 | "The scent of herbs and" | | 18 | "Figures moved in the gloom—shadowy" | | 19 | "A stall offered vials filled" |
| | ratio | 0.861 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 72 | | matches | | 0 | "And, according to a particularly" | | 1 | "Now, he was gone." |
| | ratio | 0.028 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "A paramedic with a penchant for the esoteric, a man who tended to the strange and the broken outside the rigid structure of the NHS." | | 1 | "He flung it at the granite-skinned figures, and it shattered against one of their faces, releasing a cloud of shimmering, iridescent dust." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice flat" | | 1 | "he replied, his brown eyes steady" | | 2 | "She took, her gaze unwavering" | | 3 | "them said, its voice a low, resonant drone" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "he shouted (shout)" | | 2 | "figure growled (growl)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.429 | | effectiveRatio | 0.333 | |