| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "His cane tapped once [once]" |
| | dialogueSentences | 40 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.083 | | effectiveRatio | 0.05 | |
| 93.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1548 | | totalAiIsmAdverbs | 2 | | 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) | |
| 74.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1548 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "warmth" | | 1 | "reminder" | | 2 | "velvet" | | 3 | "silence" | | 4 | "measured" | | 5 | "echo" | | 6 | "pulse" | | 7 | "silk" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1548 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 784 | | uniqueNames | 18 | | maxNameDensity | 1.28 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Moreau | 1 | | London | 1 | | Lucien | 10 | | Spitalfields | 1 | | Warmth | 1 | | Marseille | 1 | | East | 1 | | End | 1 | | Welsh | 1 | | Contact | 1 | | Brick | 1 | | Lane | 1 | | Frenchman | 1 | | Ptolemy | 3 | | Eva | 1 | | Thames | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Spitalfields" | | 4 | "Warmth" | | 5 | "Contact" | | 6 | "Frenchman" | | 7 | "Ptolemy" | | 8 | "Eva" | | 9 | "Evan" |
| | places | | 0 | "London" | | 1 | "Marseille" | | 2 | "East" | | 3 | "End" | | 4 | "Brick" | | 5 | "Lane" | | 6 | "Thames" |
| | globalScore | 0.862 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "smelled like cedar and controlled violence" |
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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 | 1548 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 35.18 | | std | 18.9 | | cv | 0.537 | | sampleLengths | | 0 | 17 | | 1 | 38 | | 2 | 3 | | 3 | 16 | | 4 | 45 | | 5 | 41 | | 6 | 27 | | 7 | 22 | | 8 | 60 | | 9 | 33 | | 10 | 37 | | 11 | 36 | | 12 | 54 | | 13 | 13 | | 14 | 33 | | 15 | 22 | | 16 | 64 | | 17 | 31 | | 18 | 25 | | 19 | 27 | | 20 | 43 | | 21 | 42 | | 22 | 42 | | 23 | 37 | | 24 | 21 | | 25 | 33 | | 26 | 32 | | 27 | 56 | | 28 | 57 | | 29 | 70 | | 30 | 90 | | 31 | 57 | | 32 | 38 | | 33 | 25 | | 34 | 64 | | 35 | 62 | | 36 | 22 | | 37 | 34 | | 38 | 6 | | 39 | 22 | | 40 | 18 | | 41 | 10 | | 42 | 7 | | 43 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 106 | | ratio | 0.009 | | matches | | 0 | "\"Say no, and I walk. The pattern blooms without you; London turns stranger. You stay safe in this bibliophile's nest until something larger jimmies the deadbolts. Say yes...\" His voice dropped lower." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 793 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03656998738965952 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008827238335435058 | |
| 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 | 14.6 | | std | 10.36 | | cv | 0.709 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 14 | | 3 | 3 | | 4 | 10 | | 5 | 6 | | 6 | 5 | | 7 | 7 | | 8 | 11 | | 9 | 22 | | 10 | 16 | | 11 | 25 | | 12 | 5 | | 13 | 7 | | 14 | 15 | | 15 | 22 | | 16 | 4 | | 17 | 5 | | 18 | 19 | | 19 | 4 | | 20 | 8 | | 21 | 20 | | 22 | 19 | | 23 | 14 | | 24 | 16 | | 25 | 8 | | 26 | 13 | | 27 | 9 | | 28 | 27 | | 29 | 21 | | 30 | 33 | | 31 | 13 | | 32 | 2 | | 33 | 22 | | 34 | 9 | | 35 | 22 | | 36 | 8 | | 37 | 5 | | 38 | 15 | | 39 | 36 | | 40 | 20 | | 41 | 11 | | 42 | 25 | | 43 | 27 | | 44 | 5 | | 45 | 12 | | 46 | 26 | | 47 | 3 | | 48 | 39 | | 49 | 3 |
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| 83.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5094339622641509 | | totalSentences | 106 | | uniqueOpeners | 54 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Only a wash of river-damp" |
| | ratio | 0.014 | |
| 98.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 69 | | matches | | 0 | "He stepped inside without invitation." | | 1 | "She did look then." | | 2 | "Her leaving without a word" | | 3 | "He accepted the tea without" | | 4 | "She set her mug down" | | 5 | "His voice dropped to that" | | 6 | "She righted a pyramid of" | | 7 | "His free hand flexed once." | | 8 | "He moved then." | | 9 | "Her pulse hammered against the" | | 10 | "She kept her voice level." | | 11 | "His cane tapped once against" | | 12 | "He lifted one hand, hesitated," | | 13 | "She slapped the hand away." | | 14 | "She shoved past him toward" | | 15 | "His breath stirred her hair" | | 16 | "Their bodies nearly touched." | | 17 | "She searched his face for" | | 18 | "He lifted the cane so" | | 19 | "His voice dropped lower" |
| | ratio | 0.304 | |
| 32.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 69 | | matches | | 0 | "The door swung inward on" | | 1 | "Lucien Moreau stood on the" | | 2 | "Charcoal suit still immaculate, one" | | 3 | "Rory shoved the third bolt," | | 4 | "He stepped inside without invitation." | | 5 | "The low ceiling forced him" | | 6 | "Scrolls and dog-eared grimoires stacked" | | 7 | "Ptolemy, tangled in a woollen" | | 8 | "Lucien set the cane against" | | 9 | "Rory kicked the door shut." | | 10 | "The locks snicked home one" | | 11 | "She did look then." | | 12 | "The last time they'd shared" | | 13 | "Blood on her shirt." | | 14 | "A jagged charge of power" | | 15 | "Her leaving without a word" | | 16 | "Rory crossed to the tiny" | | 17 | "He accepted the tea without" | | 18 | "Warmth spiked up her arm," | | 19 | "She set her mug down" |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 7 | | matches | | 0 | "Lucien Moreau stood on the landing, ivory-handled cane planted between polished shoes, platinum hair slicked back as if London's grime refused to touch him." | | 1 | "Ptolemy leapt onto the counter, sniffed Lucien's sleeve, and settled against his hip as if the half-demon were just another cluttered surface." | | 2 | "Books parted for him as if they remembered his scent." | | 3 | "Close enough to catch the faint ozone that always clung to half-bloods, and the sharper note of his cologne that smelled like cedar and controlled violence." | | 4 | "Contact lit the ridge of the scar along her wrist as if something ancient recognised another old brand." | | 5 | "Found only the same hunger that had crashed them together the first time, under candle smoke and forbidden circles." | | 6 | "The paper unfurled just enough to reveal a fresh ink line none of Eva's work had held before: a crooked mirror of the seal that had first chained their fates, a…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "He accepted, fingers brushing hers" | | 1 | "His voice dropped, not dusty East End flats" | | 2 | "Lucien's mouth curved, not quite a smile" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |