| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1333 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 58.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1333 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "porcelain" | | 1 | "silence" | | 2 | "rhythmic" | | 3 | "could feel" | | 4 | "pounding" | | 5 | "echoed" | | 6 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 149 | | matches | (empty) | |
| 85.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 1 | | narrationSentences | 149 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1329 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 2 | | matches | | 0 | "I told you I would keep you safe, he whispered, the words rough." | | 1 | "You let me go, Rory said, her voice trembling despite her effort to steady it." |
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| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1329 | | uniqueNames | 17 | | maxNameDensity | 1.28 | | worstName | "You" | | maxWindowNameDensity | 3.5 | | worstWindowName | "You" | | discoveredNames | | Rory | 15 | | Lucien | 15 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | London | 2 | | Laila | 1 | | Ptolemy | 3 | | Welsh | 1 | | Marseille | 2 | | Aurora | 1 | | Avaros | 1 | | Carter | 1 | | Soho | 1 | | Irish | 1 | | You | 17 | | Do | 3 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Laila" | | 4 | "Ptolemy" | | 5 | "Carter" | | 6 | "You" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Marseille" | | 4 | "Soho" |
| | globalScore | 0.86 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 1 | | matches | | 0 | "as if defying gravity itself" |
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| 49.51% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.505 | | wordCount | 1329 | | matches | | 0 | "Not a polite rap, but a violent, rhythmic pounding" | | 1 | "not from the inside, but from the outside, as if an invisible hand manipulated the lo" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 28.28 | | std | 22.1 | | cv | 0.782 | | sampleLengths | | 0 | 89 | | 1 | 17 | | 2 | 4 | | 3 | 77 | | 4 | 45 | | 5 | 1 | | 6 | 6 | | 7 | 7 | | 8 | 62 | | 9 | 14 | | 10 | 25 | | 11 | 7 | | 12 | 55 | | 13 | 57 | | 14 | 10 | | 15 | 21 | | 16 | 33 | | 17 | 20 | | 18 | 6 | | 19 | 31 | | 20 | 35 | | 21 | 3 | | 22 | 11 | | 23 | 53 | | 24 | 8 | | 25 | 6 | | 26 | 67 | | 27 | 5 | | 28 | 39 | | 29 | 25 | | 30 | 74 | | 31 | 4 | | 32 | 31 | | 33 | 40 | | 34 | 36 | | 35 | 28 | | 36 | 52 | | 37 | 12 | | 38 | 34 | | 39 | 26 | | 40 | 28 | | 41 | 30 | | 42 | 5 | | 43 | 20 | | 44 | 46 | | 45 | 11 | | 46 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 254 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 149 | | ratio | 0.007 | | matches | | 0 | "Lucien surveyed the claustrophobic space, his heterochromatic eyes—one amber, one void black—lingering on the scrolls spread across the dining table." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1333 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.020255063765941484 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00450112528132033 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.92 | | std | 6.16 | | cv | 0.69 | | sampleLengths | | 0 | 13 | | 1 | 24 | | 2 | 17 | | 3 | 13 | | 4 | 22 | | 5 | 7 | | 6 | 5 | | 7 | 5 | | 8 | 4 | | 9 | 11 | | 10 | 26 | | 11 | 20 | | 12 | 20 | | 13 | 25 | | 14 | 20 | | 15 | 1 | | 16 | 6 | | 17 | 3 | | 18 | 4 | | 19 | 19 | | 20 | 19 | | 21 | 24 | | 22 | 5 | | 23 | 9 | | 24 | 2 | | 25 | 6 | | 26 | 7 | | 27 | 4 | | 28 | 6 | | 29 | 7 | | 30 | 1 | | 31 | 8 | | 32 | 16 | | 33 | 11 | | 34 | 19 | | 35 | 8 | | 36 | 9 | | 37 | 12 | | 38 | 21 | | 39 | 7 | | 40 | 5 | | 41 | 5 | | 42 | 3 | | 43 | 6 | | 44 | 9 | | 45 | 3 | | 46 | 14 | | 47 | 10 | | 48 | 9 | | 49 | 5 |
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| 45.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.348993288590604 | | totalSentences | 149 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 131 | | matches | | 0 | "Of course you did." | | 1 | "Then let them come." | | 2 | "Then do it." | | 3 | "Then, the sound of metal" |
| | ratio | 0.031 | |
| 49.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 131 | | matches | | 0 | "He did not look like" | | 1 | "His charcoal suit held no" | | 2 | "She had not expected him." | | 3 | "She had not wanted him." | | 4 | "You look terrible, Laila." | | 5 | "He folded his ivory-handled cane" | | 6 | "It is what I can" | | 7 | "He ran a gloved finger" | | 8 | "We said everything there was" | | 9 | "He turned, the movement fluid," | | 10 | "I recall a great deal" | | 11 | "I recall you running." | | 12 | "I do not recall a" | | 13 | "You deliver noodles for a" | | 14 | "You study laws you have" | | 15 | "You live above a kitchen" | | 16 | "He stopped inches from her," | | 17 | "I think it constitutes peace." | | 18 | "He reached out, his hand" | | 19 | "You are vibrating." |
| | ratio | 0.427 | |
| 47.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 131 | | matches | | 0 | "The third deadbolt clicked open" | | 1 | "The chain rattled, metal scraping" | | 2 | "Rain dripped from the brim" | | 3 | "He did not look like" | | 4 | "His charcoal suit held no" | | 5 | "Rory gripped the doorframe, her" | | 6 | "She had not expected him." | | 7 | "She had not wanted him." | | 8 | "You look terrible, Laila." | | 9 | "The use of her middle" | | 10 | "Rory stepped back, allowing him" | | 11 | "Lucien swept inside, closing the" | | 12 | "He folded his ivory-handled cane" | | 13 | "The flat smelled of turmeric," | | 14 | "Lucien surveyed the claustrophobic space," | | 15 | "It is what I can" | | 16 | "Affordability implies choice." | | 17 | "This looks like hiding." | | 18 | "Lucien moved further into the" | | 19 | "He ran a gloved finger" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 3 | | matches | | 0 | "His charcoal suit held no creases despite the London humidity, and his platinum hair remained slicked back as if defying gravity itself." | | 1 | "Worried about his little girl playing detective in a city that eats people like you for breakfast." | | 2 | "The first deadbolt began to turn, not from the inside, but from the outside, as if an invisible hand manipulated the lock." |
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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 | |