| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.071 | | effectiveRatio | 0.059 | |
| 69.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1311 | | totalAiIsmAdverbs | 8 | | found | | 0 | | adverb | "deliberately" | | count | 2 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "sharply" | | 2 | "slightly" | | 3 | "softly" | | 4 | "slyly" |
| |
| 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) | |
| 12.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1311 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "stomach" | | 1 | "unsettled" | | 2 | "affection" | | 3 | "intrigue" | | 4 | "resolve" | | 5 | "echoed" | | 6 | "warmth" | | 7 | "amidst" | | 8 | "familiar" | | 9 | "comforting" | | 10 | "electric" | | 11 | "silence" | | 12 | "unravel" | | 13 | "peril" | | 14 | "complex" | | 15 | "trepidation" | | 16 | "processed" | | 17 | "sense of" | | 18 | "echoing" | | 19 | "depths" | | 20 | "eyebrow" |
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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 | 63 | | matches | (empty) | |
| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1315 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.70% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1085 | | uniqueNames | 6 | | maxNameDensity | 1.11 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Moreau | 1 | | Eva | 3 | | Lucien | 8 | | London | 1 | | Ptolemy | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 0.947 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1315 | | matches | (empty) | |
| 86.35% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 83 | | matches | | 0 | "been that sense" | | 1 | "like that, they" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 31.31 | | std | 17.11 | | cv | 0.546 | | sampleLengths | | 0 | 65 | | 1 | 29 | | 2 | 3 | | 3 | 57 | | 4 | 9 | | 5 | 53 | | 6 | 58 | | 7 | 36 | | 8 | 15 | | 9 | 11 | | 10 | 22 | | 11 | 39 | | 12 | 19 | | 13 | 12 | | 14 | 36 | | 15 | 21 | | 16 | 26 | | 17 | 27 | | 18 | 21 | | 19 | 69 | | 20 | 35 | | 21 | 25 | | 22 | 15 | | 23 | 27 | | 24 | 44 | | 25 | 19 | | 26 | 33 | | 27 | 51 | | 28 | 61 | | 29 | 17 | | 30 | 8 | | 31 | 23 | | 32 | 56 | | 33 | 26 | | 34 | 29 | | 35 | 42 | | 36 | 49 | | 37 | 48 | | 38 | 15 | | 39 | 16 | | 40 | 13 | | 41 | 35 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 63 | | matches | | 0 | "was ensconced" | | 1 | "was dressed" | | 2 | "was composed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "was losing" | | 1 | "was being" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 83 | | ratio | 0.06 | | matches | | 0 | "It swung inward, as uneventful as ever, except—" | | 1 | "“What are you doing here?” Rory demanded, doing her best to clamp down on the undercurrent of emotion rising in her chest — a mix of confusion, old affection, and anger that refused to die quietly." | | 2 | "She knew his world was one of peril and networks — London’s supernatural underworld was a city within a city, one she had only glimpsed through him." | | 3 | "There it was, that choked logic — the elusive savior complex that somehow mirrored the labyrinths of affection and trepidation she felt herself." | | 4 | "They opened the food together, the process messy and delightful in its small annoyances — chopsticks fished from the depths of crumpled bags, soy sauce sachets punctured haphazardly." |
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| 75.06% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1084 | | adjectiveStacks | 1 | | stackExamples | | 0 | "real, full-bodied chuckle" |
| | adverbCount | 57 | | adverbRatio | 0.052583025830258305 | | lyAdverbCount | 32 | | lyAdverbRatio | 0.02952029520295203 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 15.84 | | std | 9.66 | | cv | 0.61 | | sampleLengths | | 0 | 7 | | 1 | 24 | | 2 | 34 | | 3 | 21 | | 4 | 8 | | 5 | 3 | | 6 | 35 | | 7 | 22 | | 8 | 9 | | 9 | 19 | | 10 | 8 | | 11 | 26 | | 12 | 14 | | 13 | 30 | | 14 | 14 | | 15 | 36 | | 16 | 10 | | 17 | 5 | | 18 | 8 | | 19 | 3 | | 20 | 13 | | 21 | 9 | | 22 | 8 | | 23 | 31 | | 24 | 15 | | 25 | 4 | | 26 | 10 | | 27 | 2 | | 28 | 10 | | 29 | 19 | | 30 | 5 | | 31 | 2 | | 32 | 19 | | 33 | 2 | | 34 | 19 | | 35 | 7 | | 36 | 18 | | 37 | 9 | | 38 | 8 | | 39 | 13 | | 40 | 22 | | 41 | 27 | | 42 | 20 | | 43 | 13 | | 44 | 22 | | 45 | 14 | | 46 | 11 | | 47 | 6 | | 48 | 9 | | 49 | 6 |
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| 67.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.42168674698795183 | | totalSentences | 83 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 63 | | matches | | 0 | "She juggled the precariously wobbling" | | 1 | "It was still early evening," | | 2 | "It swung inward, as uneventful" | | 3 | "He looked up with a" | | 4 | "he said, making her name" | | 5 | "she managed, faculty returning in" | | 6 | "She lowered the bags to" | | 7 | "He was dressed immaculately, as" | | 8 | "His cane stood propped against" | | 9 | "He shrugged, a nuance of" | | 10 | "She scowled, knowing he was" | | 11 | "he said, eyes alight with" | | 12 | "She exhaled sharply, letting the" | | 13 | "His gaze softened slightly, but" | | 14 | "she echoed, words coming out" | | 15 | "She scraped a hand through" | | 16 | "She winced at the carnage." | | 17 | "His voice dropped an octave," | | 18 | "His laugh was a low" | | 19 | "she relented, before gesturing towards" |
| | ratio | 0.571 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "Rory was losing patience with" | | 1 | "She juggled the precariously wobbling" | | 2 | "It was still early evening," | | 3 | "The clicking sequence of the" | | 4 | "It swung inward, as uneventful" | | 5 | "Rory wasn’t alone." | | 6 | "Lucien Moreau, in all his" | | 7 | "He looked up with a" | | 8 | "he said, making her name" | | 9 | "The stack of containers tilted" | | 10 | "she managed, faculty returning in" | | 11 | "She lowered the bags to" | | 12 | "Lucien glided upward, his movements" | | 13 | "He was dressed immaculately, as" | | 14 | "His cane stood propped against" | | 15 | "Rory demanded, doing her best" | | 16 | "He shrugged, a nuance of" | | 17 | "She scowled, knowing he was" | | 18 | "he said, eyes alight with" | | 19 | "Rory's heart thumped annoyingly loud" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "She lowered the bags to a safer altitude by her side, though the room still felt unsettled, like a storm that had wandered indoors without permission." | | 1 | "A sigh she hadn’t expected gusted out of her, and Rory couldn’t help the half-smile that twitched her lips." | | 2 | "Rory followed him to the couch, placing the battered containers on the low coffee table amidst the mess that was both familiar and comforting in its chaos." | | 3 | "Rory absorbed his words, the knots in her chest tightening and then softly coming undone." | | 4 | "It was contagious enough for her to join in, their shared laughter echoing in the small flat, mixing bizarrely with the quiet purring of Eva's tabby cat, Ptolem…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "she managed, faculty returning in clipped syllables" | | 1 | "she echoed, words coming out more acerbic than intended" | | 2 | "he cut in, eyes intense" | | 3 | "he began, fingers brushing the handle of his cane absentmindedly" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Rory demanded (demand)" | | 1 | "he inquired (inquire)" | | 2 | "Lucien confessed (confess)" | | 3 | "he conceded (concede)" |
| | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0.571 | | effectiveRatio | 0.235 | |