| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1913 | | totalAiIsmAdverbs | 1 | | 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) | |
| 39.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1913 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "pounding" | | 1 | "scanning" | | 2 | "weight" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "flickered" | | 6 | "pulse" | | 7 | "constructed" | | 8 | "silk" | | 9 | "pulsed" | | 10 | "perfect" | | 11 | "could feel" | | 12 | "trembled" | | 13 | "crystal" | | 14 | "raced" |
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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 | 132 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 132 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1904 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1666 | | uniqueNames | 22 | | maxNameDensity | 1.02 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | London | 1 | | Raven | 1 | | Nest | 1 | | Vauxhall | 1 | | Soho | 1 | | Berwick | 1 | | Street | 1 | | Victorian | 1 | | Tube | 1 | | Underground | 1 | | Veil | 1 | | Market | 1 | | Saint | 2 | | Christopher | 2 | | Herrera | 10 | | Spanish | 1 | | Seville | 1 | | Morris | 1 | | Tomás | 2 | | One | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Tomás" | | 7 | "One" |
| | places | | 0 | "London" | | 1 | "Raven" | | 2 | "Vauxhall" | | 3 | "Soho" | | 4 | "Berwick" | | 5 | "Street" | | 6 | "Victorian" | | 7 | "Market" | | 8 | "Seville" |
| | globalScore | 0.99 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like three stories, the walls chan" | | 1 | "looked like the curved wall of an old Tub" |
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| 94.96% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.05 | | wordCount | 1904 | | matches | | 0 | "not just fear, but a weary resignation" | | 1 | "not just with her heart, but with her breathing, with the electrical impulses firing acro" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 39.67 | | std | 31.47 | | cv | 0.793 | | sampleLengths | | 0 | 94 | | 1 | 60 | | 2 | 68 | | 3 | 17 | | 4 | 18 | | 5 | 82 | | 6 | 23 | | 7 | 45 | | 8 | 2 | | 9 | 84 | | 10 | 16 | | 11 | 116 | | 12 | 52 | | 13 | 10 | | 14 | 4 | | 15 | 73 | | 16 | 73 | | 17 | 8 | | 18 | 26 | | 19 | 2 | | 20 | 90 | | 21 | 3 | | 22 | 75 | | 23 | 69 | | 24 | 26 | | 25 | 74 | | 26 | 12 | | 27 | 2 | | 28 | 71 | | 29 | 41 | | 30 | 64 | | 31 | 12 | | 32 | 15 | | 33 | 37 | | 34 | 5 | | 35 | 6 | | 36 | 82 | | 37 | 2 | | 38 | 32 | | 39 | 44 | | 40 | 74 | | 41 | 55 | | 42 | 53 | | 43 | 44 | | 44 | 2 | | 45 | 24 | | 46 | 4 | | 47 | 13 |
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| 86.66% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 132 | | matches | | 0 | "was locked" | | 1 | "was gone" | | 2 | "been drilled" | | 3 | "were covered" | | 4 | "been erected" | | 5 | "been filed" | | 6 | "was supposed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 12 | | totalVerbs | 273 | | matches | | 0 | "was running" | | 1 | "was waiting" | | 2 | "was standing" | | 3 | "were selling" | | 4 | "was breathing" | | 5 | "was blooming" | | 6 | "were dropping" | | 7 | "was parting" | | 8 | "was glowing" | | 9 | "was beginning" | | 10 | "was holding" | | 11 | "was making" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 146 | | ratio | 0.062 | | matches | | 0 | "She was locked on the figure ahead—a man in a waxed canvas jacket, dark hair plastered to his skull, running with the desperate, uneven gait of someone who knew he was running out of time." | | 1 | "She didn’t draw her weapon—not yet." | | 2 | "She approached it with the economy of motion that had been drilled into her during her years in the force—shoulders squared, weight balanced, every sense straining." | | 3 | "She’d heard whispers about it for years—intelligence reports she’d dismissed as superstitious nonsense, testimonies from informants too terrified or too strung-out to be reliable." | | 4 | "A flash of silver at his throat—a Saint Christopher medallion, the patron saint of travelers." | | 5 | "Faces turned toward her—human faces, mostly, but some that weren’t." | | 6 | "He’d straightened slightly, and there was something in his eyes now—not just fear, but a weary resignation." | | 7 | "Their hands were wrong—too many joints in the fingers, the skin the color of old bone." | | 8 | "Quinn looked at him—at this man she’d been hunting, this man who was supposed to be a suspect, a lead, a means to an end." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1681 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.02082093991671624 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004759071980963712 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 13.04 | | std | 9.91 | | cv | 0.76 | | sampleLengths | | 0 | 19 | | 1 | 26 | | 2 | 14 | | 3 | 35 | | 4 | 15 | | 5 | 30 | | 6 | 8 | | 7 | 7 | | 8 | 16 | | 9 | 18 | | 10 | 20 | | 11 | 6 | | 12 | 4 | | 13 | 4 | | 14 | 10 | | 15 | 7 | | 16 | 3 | | 17 | 15 | | 18 | 8 | | 19 | 26 | | 20 | 11 | | 21 | 26 | | 22 | 11 | | 23 | 4 | | 24 | 8 | | 25 | 11 | | 26 | 9 | | 27 | 15 | | 28 | 21 | | 29 | 2 | | 30 | 32 | | 31 | 23 | | 32 | 29 | | 33 | 3 | | 34 | 13 | | 35 | 31 | | 36 | 6 | | 37 | 34 | | 38 | 23 | | 39 | 22 | | 40 | 3 | | 41 | 24 | | 42 | 10 | | 43 | 15 | | 44 | 6 | | 45 | 4 | | 46 | 4 | | 47 | 17 | | 48 | 20 | | 49 | 6 |
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| 42.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3356164383561644 | | totalSentences | 146 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 76.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 117 | | matches | | 0 | "She was locked on the" | | 1 | "He’d been lingering outside The" | | 2 | "She followed him down Berwick" | | 3 | "He cut left into an" | | 4 | "She didn’t draw her weapon—not" | | 5 | "She wanted him alive." | | 6 | "She wanted him talking." | | 7 | "she called out, her voice" | | 8 | "He didn’t stop." | | 9 | "He disappeared around a corner," | | 10 | "It was open a crack," | | 11 | "She approached it with the" | | 12 | "She could smell it." | | 13 | "She could hear the suspect’s" | | 14 | "She was standing on a" | | 15 | "She’d heard whispers about it" | | 16 | "She’d never believed them." | | 17 | "She believed them now." | | 18 | "He glanced back over his" | | 19 | "He’d been on her radar" |
| | ratio | 0.359 | |
| 32.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 117 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "Water sluiced down the back" | | 3 | "She was locked on the" | | 4 | "He’d been lingering outside The" | | 5 | "That was all the confirmation" | | 6 | "She followed him down Berwick" | | 7 | "He cut left into an" | | 8 | "Quinn vaulted them without breaking" | | 9 | "She didn’t draw her weapon—not" | | 10 | "She wanted him alive." | | 11 | "She wanted him talking." | | 12 | "she called out, her voice" | | 13 | "He didn’t stop." | | 14 | "He disappeared around a corner," | | 15 | "Quinn slowed, her eyes scanning" | | 16 | "Brick walls on three sides," | | 17 | "It was open a crack," | | 18 | "She approached it with the" | | 19 | "The door opened onto a" |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 15 | | matches | | 0 | "She was locked on the figure ahead—a man in a waxed canvas jacket, dark hair plastered to his skull, running with the desperate, uneven gait of someone who knew…" | | 1 | "Three in the morning, Soho’s neon bleeding into puddles, and this man had been standing under the distinctive green glow of the bar’s sign like he was waiting f…" | | 2 | "She approached it with the economy of motion that had been drilled into her during her years in the force—shoulders squared, weight balanced, every sense strain…" | | 3 | "She could hear the suspect’s footsteps echoing from below, faster now, as if the stairs had given him a second wind." | | 4 | "The staircase spiraled down for what felt like three stories, the walls changing from Victorian brick to raw-cut stone to something that looked like the curved …" | | 5 | "At the bottom, a passage stretched ahead, lit by strings of bare bulbs that flickered with the irregular pulse of a failing generator." | | 6 | "He’d been on her radar for six months, ever since she’d started connecting the dots between a string of unexplained deaths and a loose network of individuals wh…" | | 7 | "He vaulted over a stall selling vials of something that glowed a faint, sickly green, and disappeared between two curtains of beaded silk." | | 8 | "A child who opened their mouth to reveal teeth filed to needle points." | | 9 | "A cage full of birds that sang in perfect, mournful harmony, their eyes too intelligent to be natural." | | 10 | "She found Herrera cornered against a wall at the far end of the market, where the platform crumbled into darkness and the tracks disappeared into a tunnel that …" | | 11 | "He was breathing hard, one hand pressed to his side where a stitch was blooming, the other held out in front of him in a gesture that was equal parts warning an…" | | 12 | "The book hadn’t prepared her for a market that shouldn’t exist, for creatures that looked human but weren’t, for the creeping certainty that everything she’d di…" | | 13 | "She could feel it pushing at the edges of her consciousness, a pressure that promised oblivion." | | 14 | "The pulse was inside her skull now, a thrumming pressure that was making it hard to think." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "she called out, her voice flat and carrying" | | 1 | "Herrera said, and his voice was urgent now, almost kind" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she shouted (shout)" | | 2 | "he repeated (repeat)" |
| | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.5 | | effectiveRatio | 0.261 | |