| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1448 | | 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) | |
| 58.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1448 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "navigated" | | 1 | "pumping" | | 2 | "echo" | | 3 | "footsteps" | | 4 | "encounter" | | 5 | "stomach" | | 6 | "could feel" | | 7 | "shimmered" | | 8 | "electric" | | 9 | "comfortable" | | 10 | "flickered" |
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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 | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | 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 | 1432 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1432 | | uniqueNames | 16 | | maxNameDensity | 0.91 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 13 | | Raven | 1 | | Nest | 1 | | Herrera | 10 | | Frith | 1 | | Street | 1 | | Saint | 1 | | Christopher | 1 | | Tube | 2 | | Morris | 2 | | Whitechapel | 1 | | Camden | 1 | | London | 1 | | Three | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Whitechapel" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "angles that seemed to shift when she looked at them directly" | | 1 | "sounded like Morris was screaming at her t" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 7 | | per1kWords | 4.888 | | wordCount | 1432 | | matches | | 0 | "not panicked, deliberate but not desperate" | | 1 | "no visible wounds but" | | 2 | "not toward the platforms but toward a service corridor she hadn't known existed" | | 3 | "not hostile, not yet, but curious" | | 4 | "not yet, but curious" | | 5 | "not fear, not anger, but something closer to pity" | | 6 | "not anger, but something closer to pity" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 106 | | matches | | 0 | "realized that the" | | 1 | "demand that Herrera" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 31.13 | | std | 21.94 | | cv | 0.705 | | sampleLengths | | 0 | 57 | | 1 | 46 | | 2 | 18 | | 3 | 7 | | 4 | 70 | | 5 | 39 | | 6 | 50 | | 7 | 6 | | 8 | 55 | | 9 | 44 | | 10 | 9 | | 11 | 1 | | 12 | 46 | | 13 | 35 | | 14 | 2 | | 15 | 50 | | 16 | 7 | | 17 | 64 | | 18 | 13 | | 19 | 9 | | 20 | 54 | | 21 | 45 | | 22 | 3 | | 23 | 58 | | 24 | 6 | | 25 | 52 | | 26 | 6 | | 27 | 29 | | 28 | 77 | | 29 | 51 | | 30 | 15 | | 31 | 54 | | 32 | 6 | | 33 | 33 | | 34 | 51 | | 35 | 6 | | 36 | 5 | | 37 | 30 | | 38 | 39 | | 39 | 44 | | 40 | 50 | | 41 | 36 | | 42 | 9 | | 43 | 32 | | 44 | 8 | | 45 | 5 |
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| 92.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 106 | | matches | | 0 | "being forced" | | 1 | "been trained" | | 2 | "were rusted" | | 3 | "were lined" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 240 | | matches | | 0 | "was losing" | | 1 | "wasn't heading" | | 2 | "was going" | | 3 | "was going" | | 4 | "was screaming" | | 5 | "was making" | | 6 | "were watching" | | 7 | "was screaming" | | 8 | "were running" | | 9 | "was still watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 106 | | ratio | 0.104 | | matches | | 0 | "A man who should have had no reason to run—yet the moment he'd spotted her across the pub, recognition flickering behind those warm brown eyes, he'd bolted like a rabbit scenting the hounds." | | 1 | "He was going deeper—into the maze of narrow passages and dead ends that only locals navigated with any confidence." | | 2 | "But something about the way Herrera moved—quick but not panicked, deliberate but not desperate—made the hair rise on the back of her neck." | | 3 | "Below, she could hear the echo of footsteps—rapid, receding—followed by the heavier sound of a door being forced open." | | 4 | "But there were footprints in the water—Herrera's, she hoped—leading not toward the platforms but toward a service corridor she hadn't known existed." | | 5 | "A chain hung from a hook beside it, and on the chain—a token." | | 6 | "People moved through the market—or not people, not exactly." | | 7 | "A child—she thought it was a child—scurried past carrying a jar that glowed from within." | | 8 | "The vendors and customers moved around her like water around a stone, and she could feel their attention—not hostile, not yet, but curious." | | 9 | "Everything had narrowed to this moment—this choice—with a suspect she'd chased through half of London standing in a place that shouldn't exist, surrounded by things she couldn't explain." | | 10 | "Something flickered across his face—not fear, not anger, but something closer to pity." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1451 | | adjectiveStacks | 2 | | stackExamples | | 0 | "former paramedic, current ghost." | | 1 | "Bone-white, worn smooth" |
| | adverbCount | 26 | | adverbRatio | 0.01791867677463818 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004824259131633356 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 13.51 | | std | 9.36 | | cv | 0.693 | | sampleLengths | | 0 | 19 | | 1 | 38 | | 2 | 7 | | 3 | 6 | | 4 | 33 | | 5 | 18 | | 6 | 7 | | 7 | 18 | | 8 | 25 | | 9 | 27 | | 10 | 13 | | 11 | 7 | | 12 | 19 | | 13 | 8 | | 14 | 19 | | 15 | 23 | | 16 | 6 | | 17 | 28 | | 18 | 27 | | 19 | 3 | | 20 | 14 | | 21 | 27 | | 22 | 9 | | 23 | 1 | | 24 | 4 | | 25 | 18 | | 26 | 24 | | 27 | 10 | | 28 | 6 | | 29 | 19 | | 30 | 2 | | 31 | 38 | | 32 | 2 | | 33 | 10 | | 34 | 7 | | 35 | 2 | | 36 | 37 | | 37 | 25 | | 38 | 13 | | 39 | 9 | | 40 | 5 | | 41 | 18 | | 42 | 31 | | 43 | 4 | | 44 | 1 | | 45 | 18 | | 46 | 22 | | 47 | 3 | | 48 | 14 | | 49 | 17 |
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| 51.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.37735849056603776 | | totalSentences | 106 | | uniqueOpeners | 40 | |
| 34.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 97 | | matches | | 0 | "Too old, too solid, the" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 97 | | matches | | 0 | "She'd been tailing Herrera for" | | 1 | "She pushed off the wall" | | 2 | "Her shoes slapped against the" | | 3 | "He wasn't heading for the" | | 4 | "He was going deeper—into the" | | 5 | "She'd grown up in these" | | 6 | "He knew where he was" | | 7 | "She increased her pace, her" | | 8 | "She burst out onto a" | | 9 | "Her feet splashed through standing" | | 10 | "She followed them." | | 11 | "They burned without flickering, their" | | 12 | "It wasn't a Tube door." | | 13 | "It turned under her hand" | | 14 | "He hadn't seen her yet." | | 15 | "He was making his way" | | 16 | "His medallion swung against his" | | 17 | "She should announce herself." | | 18 | "They were watching to see" | | 19 | "She didn't have a bone" |
| | ratio | 0.268 | |
| 63.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 97 | | matches | | 0 | "The rain came down like" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "She'd been tailing Herrera for" | | 3 | "Tomás Herrera, former paramedic, current" | | 4 | "A man who should have" | | 5 | "She pushed off the wall" | | 6 | "Her shoes slapped against the" | | 7 | "The worn leather watch on" | | 8 | "Herrera turned left at the" | | 9 | "He wasn't heading for the" | | 10 | "He was going deeper—into the" | | 11 | "She'd grown up in these" | | 12 | "He knew where he was" | | 13 | "Quinn rounded the corner and" | | 14 | "She increased her pace, her" | | 15 | "The passage narrowed." | | 16 | "Brick walls pressed in on" | | 17 | "A rat skittered across her" | | 18 | "She burst out onto a" | | 19 | "The rain hammered down." |
| | ratio | 0.794 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 97 | | matches | | 0 | "Now he was two blocks" | | 1 | "To secure the perimeter and" |
| | ratio | 0.021 | |
| 25.76% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 10 | | matches | | 0 | "A man who should have had no reason to run—yet the moment he'd spotted her across the pub, recognition flickering behind those warm brown eyes, he'd bolted like…" | | 1 | "Late enough that the usual crowds had thinned to desperate smokers and lost tourists, all hunched beneath awnings as they waited for taxis that would never come…" | | 2 | "The rational part of her mind, the part that had kept her alive through stabbings and shootings and one unforgettable encounter with a suspect who'd bitten thro…" | | 3 | "Something metallic and old, like pennies left in rainwater, underlaid with an sweetness that made her stomach clench." | | 4 | "Her feet splashed through standing water that had pooled on the tiles, and she kept her weapon raised, her back to the wall, clearing the corners the way she'd …" | | 5 | "Bone-white, worn smooth by countless hands, carved with a sigil that caught the candlelight and held it." | | 6 | "It turned under her hand with a sound like a sigh, and the door swung inward onto a scene that would haunt her for the rest of her life." | | 7 | "Vendors hawked goods from behind makeshift counters: bottles of liquid that moved against gravity, bundles of dried herbs that whispered when touched, mirrors t…" | | 8 | "Everything had narrowed to this moment—this choice—with a suspect she'd chased through half of London standing in a place that shouldn't exist, surrounded by th…" | | 9 | "Step into the market, confront him, demand answers about the clique, about whatever operation they were running, about the patients he'd lost his license treati…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |