| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1140 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "utterly" | | 1 | "slightly" | | 2 | "nervously" | | 3 | "suddenly" |
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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) | |
| 29.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1140 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "stomach" | | 1 | "practiced ease" | | 2 | "familiar" | | 3 | "could feel" | | 4 | "reminder" | | 5 | "pulsed" | | 6 | "chaotic" | | 7 | "glint" | | 8 | "clandestine" | | 9 | "unwavering" | | 10 | "silence" | | 11 | "pulse" | | 12 | "imposing" | | 13 | "chilled" |
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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 | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1148 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1045 | | uniqueNames | 15 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 12 | | Herrera | 8 | | Soho | 1 | | Morris | 1 | | Raven | 1 | | Nest | 1 | | Victorian | 1 | | London | 1 | | Saint | 1 | | Christopher | 1 | | Veil | 1 | | Market | 1 | | Suddenly | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Raven" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | | globalScore | 0.926 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a tiny accusation, a mirror t" | | 1 | "looked like he’d been carved from granite" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.871 | | wordCount | 1148 | | matches | | 0 | "not at Herrera, but at the granite man" |
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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 | 21 | | mean | 54.67 | | std | 36.13 | | cv | 0.661 | | sampleLengths | | 0 | 87 | | 1 | 105 | | 2 | 97 | | 3 | 82 | | 4 | 128 | | 5 | 67 | | 6 | 18 | | 7 | 30 | | 8 | 17 | | 9 | 54 | | 10 | 16 | | 11 | 66 | | 12 | 39 | | 13 | 65 | | 14 | 48 | | 15 | 6 | | 16 | 115 | | 17 | 15 | | 18 | 25 | | 19 | 11 | | 20 | 57 |
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| 91.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 77 | | matches | | 0 | "were covered" | | 1 | "been carved" | | 2 | "was left" |
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| 72.61% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 157 | | matches | | 0 | "was running" | | 1 | "was holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 86 | | ratio | 0.116 | | matches | | 0 | "Eighteen years on the force, eighteen years of decorated service, and she still hadn’t gotten used to the feeling of chasing something – someone – down the rabbit hole." | | 1 | "He wasn’t running from the police; he was running from something else entirely." | | 2 | "She checked her watch – a worn leather timepiece, a constant reminder of a life she desperately wanted to reclaim – and noted the time: 02:47." | | 3 | "At the bottom, she found herself in a cavernous space – The Raven’s Nest." | | 4 | "The walls were covered in a chaotic collage of old maps and black-and-white photographs, depicting scenes that seemed both familiar and utterly alien – Victorian London overlaid with symbols she didn’t recognize, shadowy figures engaged in rituals beneath crumbling archways." | | 5 | "She spotted Herrera near the bar, arguing with a man who looked like he’d been carved from granite – a large, scarred individual with eyes that held the cold glint of polished obsidian." | | 6 | "Ahead, she could see the faint glow of – something – illuminating a vast, subterranean space." | | 7 | "The bone token – the entry requirement – was left on a small, moss-covered table." | | 8 | "And somewhere within the throng, she could sense it – a pulse of raw, uncontrolled magic." | | 9 | "Turning, she saw him – the granite man, flanked by two equally imposing figures." |
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| 98.83% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 701 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.029957203994293864 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.021398002853067047 | |
| 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 | 13.35 | | std | 7.49 | | cv | 0.561 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 15 | | 3 | 21 | | 4 | 17 | | 5 | 18 | | 6 | 29 | | 7 | 11 | | 8 | 2 | | 9 | 2 | | 10 | 18 | | 11 | 3 | | 12 | 18 | | 13 | 4 | | 14 | 12 | | 15 | 13 | | 16 | 27 | | 17 | 9 | | 18 | 2 | | 19 | 26 | | 20 | 8 | | 21 | 20 | | 22 | 17 | | 23 | 23 | | 24 | 4 | | 25 | 18 | | 26 | 16 | | 27 | 14 | | 28 | 20 | | 29 | 40 | | 30 | 20 | | 31 | 18 | | 32 | 18 | | 33 | 33 | | 34 | 16 | | 35 | 14 | | 36 | 4 | | 37 | 7 | | 38 | 10 | | 39 | 13 | | 40 | 8 | | 41 | 9 | | 42 | 21 | | 43 | 18 | | 44 | 12 | | 45 | 3 | | 46 | 5 | | 47 | 9 | | 48 | 2 | | 49 | 20 |
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| 63.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4418604651162791 | | totalSentences | 86 | | uniqueOpeners | 38 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Especially when that something had" | | 1 | "Suddenly, a voice cut through" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 74 | | matches | | 0 | "He was a blur of" | | 1 | "He wasn’t running from the" | | 2 | "She checked her watch –" | | 3 | "He darted down a narrow" | | 4 | "She spotted Herrera near the" | | 5 | "he said, his voice trembling" | | 6 | "she said, her voice firm," | | 7 | "She leveled her pistol, not" | | 8 | "he said, his voice laced" | | 9 | "she said, her gaze unwavering" | | 10 | "She didn't have time to" | | 11 | "She pushed open the bookshelf," | | 12 | "They emerged into The Veil" | | 13 | "It was a chaotic, overwhelming" | | 14 | "He wasn’t alone." | | 15 | "He held up the shimmering" | | 16 | "he said, his voice dripping" |
| | ratio | 0.23 | |
| 47.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 74 | | matches | | 0 | "The rain hammered against Detective" | | 1 | "Each drop felt like a" | | 2 | "Tomás Herrera was fast, unnaturally" | | 3 | "He was a blur of" | | 4 | "Quinn adjusted her grip on" | | 5 | "The report had called it" | | 6 | "Quinn knew better." | | 7 | "The bruises hadn’t matched the" | | 8 | "Something ancient and wrong." | | 9 | "Herrera glanced back, his dark" | | 10 | "He wasn’t running from the" | | 11 | "Quinn could feel it in" | | 12 | "This wasn’t a simple robbery," | | 13 | "She checked her watch –" | | 14 | "The rain showed no sign" | | 15 | "He darted down a narrow" | | 16 | "Quinn followed, her boots splashing" | | 17 | "The alley opened onto a" | | 18 | "A single, unmarked door." | | 19 | "Quinn pushed it open, stepping" |
| | ratio | 0.824 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Just as the situation was" |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 9 | | matches | | 0 | "Tomás Herrera was fast, unnaturally so, weaving through the crowded pavements of Soho with a practiced ease that bordered on unsettling." | | 1 | "Quinn followed, her boots splashing through puddles that reflected the distorted neon glow of the nearby bars." | | 2 | "She spotted Herrera near the bar, arguing with a man who looked like he’d been carved from granite – a large, scarred individual with eyes that held the cold gl…" | | 3 | "The man was holding a small, intricately carved box, its surface shimmering with an unnatural luminescence." | | 4 | "Quinn turned back to Herrera, who was nervously glancing around the bar, his hand instinctively reaching for the Saint Christopher medallion around his neck." | | 5 | "Herrera hesitated, then nodded, his eyes darting back to the granite man, who remained impassive, a silent threat in the shadows." | | 6 | "She pushed open the bookshelf, revealing a narrow passage that sloped downwards into darkness." | | 7 | "Vendors hawked demonic talismans, vials of shimmering, iridescent liquids, and bundles of dried herbs that smelled of both life and decay." | | 8 | "A slow, deliberate smile that hinted at a knowledge and power that chilled her to the bone." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 6 | | matches | | 0 | "the granite man growled, his voice a low rumble" | | 1 | "he said, his voice trembling slightly" | | 2 | "she said, her voice firm, cutting through the murmur of the bar" | | 3 | "she said, her gaze unwavering" | | 4 | "Quinn replied, her hand instinctively moving to her pistol" | | 5 | "he said, his voice dripping with satisfaction," |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "the granite man growled (growl)" | | 1 | "the man spat (spit)" | | 2 | "Herrera whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |