| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1375 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
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| | 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) | |
| 34.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1375 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "comfortable" | | 2 | "race" | | 3 | "sentinels" | | 4 | "coded" | | 5 | "weight" | | 6 | "grave" | | 7 | "echoed" | | 8 | "footsteps" | | 9 | "silk" | | 10 | "comforting" | | 11 | "raced" | | 12 | "shimmered" | | 13 | "reminder" | | 14 | "maw" |
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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 | 135 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1375 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1340 | | uniqueNames | 10 | | maxNameDensity | 1.57 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 21 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Morris | 4 | | London | 2 | | Tube | 1 | | Glock | 1 | | Veil | 1 | | Market | 1 |
| | persons | | | places | | 0 | "Charing" | | 1 | "Cross" | | 2 | "Road" | | 3 | "London" |
| | globalScore | 0.716 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like leather and strange, iridesce" | | 1 | "something like this" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1375 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.98 | | std | 22.31 | | cv | 0.698 | | sampleLengths | | 0 | 36 | | 1 | 81 | | 2 | 8 | | 3 | 62 | | 4 | 7 | | 5 | 15 | | 6 | 66 | | 7 | 16 | | 8 | 9 | | 9 | 58 | | 10 | 45 | | 11 | 12 | | 12 | 77 | | 13 | 27 | | 14 | 3 | | 15 | 11 | | 16 | 9 | | 17 | 69 | | 18 | 71 | | 19 | 29 | | 20 | 32 | | 21 | 42 | | 22 | 16 | | 23 | 60 | | 24 | 8 | | 25 | 15 | | 26 | 11 | | 27 | 37 | | 28 | 34 | | 29 | 40 | | 30 | 22 | | 31 | 51 | | 32 | 38 | | 33 | 24 | | 34 | 55 | | 35 | 43 | | 36 | 3 | | 37 | 4 | | 38 | 42 | | 39 | 13 | | 40 | 38 | | 41 | 32 | | 42 | 4 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 135 | | matches | | 0 | "were tiled" | | 1 | "was swallowed" | | 2 | "were locked" |
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| 23.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 227 | | matches | | 0 | "was crawling" | | 1 | "was arguing" | | 2 | "were listening" | | 3 | "was fleeing" | | 4 | "was hammering" | | 5 | "was screaming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1343 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02084884586746091 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0014892032762472078 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 10.04 | | std | 6.24 | | cv | 0.621 | | sampleLengths | | 0 | 17 | | 1 | 7 | | 2 | 12 | | 3 | 12 | | 4 | 13 | | 5 | 9 | | 6 | 16 | | 7 | 6 | | 8 | 2 | | 9 | 1 | | 10 | 22 | | 11 | 6 | | 12 | 2 | | 13 | 11 | | 14 | 16 | | 15 | 9 | | 16 | 14 | | 17 | 3 | | 18 | 9 | | 19 | 4 | | 20 | 3 | | 21 | 3 | | 22 | 12 | | 23 | 9 | | 24 | 3 | | 25 | 2 | | 26 | 8 | | 27 | 9 | | 28 | 10 | | 29 | 10 | | 30 | 15 | | 31 | 2 | | 32 | 14 | | 33 | 2 | | 34 | 7 | | 35 | 14 | | 36 | 11 | | 37 | 4 | | 38 | 6 | | 39 | 23 | | 40 | 3 | | 41 | 20 | | 42 | 8 | | 43 | 5 | | 44 | 9 | | 45 | 12 | | 46 | 13 | | 47 | 10 | | 48 | 10 | | 49 | 3 |
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| 42.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.26277372262773724 | | totalSentences | 137 | | uniqueOpeners | 36 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 124 | | matches | | 0 | "Too young to have this" | | 1 | "Then he stepped aside." |
| | ratio | 0.016 | |
| 81.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 124 | | matches | | 0 | "He was fast, but he" | | 1 | "He kept glancing back, kept" | | 2 | "Her lungs burned, but the" | | 3 | "She'd run this kind of" | | 4 | "He clutched something to his" | | 5 | "He cut left into an" | | 6 | "His head whipped around, and" | | 7 | "He was young." | | 8 | "His voice cracked." | | 9 | "She was close enough now" | | 10 | "He fumbled in his pocket" | | 11 | "She braced, her hand sliding" | | 12 | "He stared at it, then" | | 13 | "He slammed his palm against" | | 14 | "Her boots skidded on the" | | 15 | "She remembered Morris." | | 16 | "She shoved through the doorway" | | 17 | "She moved forward." | | 18 | "It was a market, and" | | 19 | "His features were human, but" |
| | ratio | 0.347 | |
| 16.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 124 | | matches | | 0 | "The suspect's heels slapped against" | | 1 | "He was fast, but he" | | 2 | "He kept glancing back, kept" | | 3 | "Quinn cleared a puddle the" | | 4 | "Her lungs burned, but the" | | 5 | "She'd run this kind of" | | 6 | "The man ahead was rail-thin," | | 7 | "He clutched something to his" | | 8 | "The shape of it had" | | 9 | "He cut left into an" | | 10 | "Garbage bins stood like sentinels," | | 11 | "The suspect slipped on a" | | 12 | "His head whipped around, and" | | 13 | "Moonlight caught the pale oval" | | 14 | "He was young." | | 15 | "His voice cracked." | | 16 | "Quinn kept moving." | | 17 | "She was close enough now" | | 18 | "He fumbled in his pocket" | | 19 | "The bag swung." |
| | ratio | 0.887 | |
| 40.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 124 | | matches | | | ratio | 0.008 | |
| 39.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 9 | | matches | | 0 | "The man ahead was rail-thin, wearing a hoodie that had lost its fight with the weather." | | 1 | "Water dripped somewhere, a persistent tick-tock that echoed off unseen walls." | | 2 | "The air was thick with smoke and incense and something copper-edged, something that made her teeth want to grind." | | 3 | "A woman with hair that moved of its own accord, like it was underwater, leaned against a stand selling small glass vials filled with blue smoke." | | 4 | "The throng parted around her, reluctantly, as if they could smell the rain on her clothes, the ordinary human scent of her fear." | | 5 | "The air around him shimmered, and Quinn felt a pressure in her skull, a low hum that set her teeth on edge." | | 6 | "His eyeless face tilted, as if he were listening to something." | | 7 | "He clawed at the rusted metal, his fingers leaving smears of blood, and his mouth contorted into a scream that was swallowed by the tunnel's maw." | | 8 | "Her heart was hammering now, and the rational part of her brain, the part that liked evidence and procedure and things that made sense, was screaming at her to …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "he shouted (shout)" | | 1 | "he mouthed (mouth)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |