| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "He stepped back [back]" | | 1 | "His cane tapped once [once]" |
| | dialogueSentences | 40 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.111 | | effectiveRatio | 0.1 | |
| 91.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1751 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "suddenly" | | 2 | "slowly" |
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| 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) | |
| 57.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1751 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "stomach" | | 1 | "treacherous" | | 2 | "unravel" | | 3 | "silence" | | 4 | "pulse" | | 5 | "chaotic" | | 6 | "traced" | | 7 | "tracing" | | 8 | "silk" | | 9 | "vibrated" | | 10 | "pulsed" | | 11 | "amidst" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1751 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1393 | | uniqueNames | 16 | | maxNameDensity | 0.79 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Eva | 4 | | Golden | 1 | | Empress | 1 | | Moreau | 1 | | Flat | 1 | | Silas | 1 | | Lucien | 7 | | Frenchman | 1 | | Marseille | 1 | | London | 1 | | Aurora | 11 | | Brick | 3 | | Lane | 3 | | French | 1 | | Ptolemy | 4 | | Friday | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Flat" | | 3 | "Silas" | | 4 | "Lucien" | | 5 | "Frenchman" | | 6 | "Aurora" | | 7 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "French" |
| | globalScore | 1 | | windowScore | 1 | |
| 96.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like ash" | | 1 | "felt like victory" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.571 | | wordCount | 1751 | | matches | | 0 | "Not toward her, but to the narrow window overlooking the chaotic neon of Brick L" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 28.24 | | std | 17.24 | | cv | 0.61 | | sampleLengths | | 0 | 81 | | 1 | 9 | | 2 | 4 | | 3 | 48 | | 4 | 7 | | 5 | 8 | | 6 | 18 | | 7 | 42 | | 8 | 27 | | 9 | 27 | | 10 | 17 | | 11 | 35 | | 12 | 22 | | 13 | 53 | | 14 | 60 | | 15 | 16 | | 16 | 54 | | 17 | 8 | | 18 | 27 | | 19 | 36 | | 20 | 18 | | 21 | 35 | | 22 | 7 | | 23 | 18 | | 24 | 41 | | 25 | 45 | | 26 | 17 | | 27 | 5 | | 28 | 39 | | 29 | 30 | | 30 | 43 | | 31 | 10 | | 32 | 15 | | 33 | 31 | | 34 | 17 | | 35 | 24 | | 36 | 38 | | 37 | 56 | | 38 | 40 | | 39 | 33 | | 40 | 1 | | 41 | 35 | | 42 | 47 | | 43 | 47 | | 44 | 55 | | 45 | 7 | | 46 | 24 | | 47 | 54 | | 48 | 40 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 241 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 156 | | ratio | 0 | | matches | (empty) | |
| 96.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1399 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 62 | | adverbRatio | 0.04431736954967834 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007862759113652609 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 11.22 | | std | 8.14 | | cv | 0.725 | | sampleLengths | | 0 | 18 | | 1 | 2 | | 2 | 15 | | 3 | 28 | | 4 | 16 | | 5 | 2 | | 6 | 4 | | 7 | 2 | | 8 | 3 | | 9 | 4 | | 10 | 19 | | 11 | 15 | | 12 | 5 | | 13 | 9 | | 14 | 7 | | 15 | 3 | | 16 | 1 | | 17 | 4 | | 18 | 16 | | 19 | 2 | | 20 | 7 | | 21 | 10 | | 22 | 25 | | 23 | 3 | | 24 | 22 | | 25 | 2 | | 26 | 11 | | 27 | 12 | | 28 | 4 | | 29 | 17 | | 30 | 17 | | 31 | 18 | | 32 | 18 | | 33 | 4 | | 34 | 11 | | 35 | 23 | | 36 | 19 | | 37 | 11 | | 38 | 32 | | 39 | 6 | | 40 | 7 | | 41 | 4 | | 42 | 16 | | 43 | 17 | | 44 | 31 | | 45 | 6 | | 46 | 8 | | 47 | 11 | | 48 | 16 | | 49 | 6 |
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| 70.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4358974358974359 | | totalSentences | 156 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 112 | | matches | | 0 | "Of course Eva still lived" | | 1 | "Then the third." | | 2 | "Instead her feet carried her" | | 3 | "Just her name." | | 4 | "Actually laughed, the sound surprising" |
| | ratio | 0.045 | |
| 73.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 112 | | matches | | 0 | "She shifted the warm paper" | | 1 | "Her left wrist itched under" | | 2 | "His mouth curved, that half-smirk" | | 3 | "She hadn't heard it in" | | 4 | "she said, because somebody had" | | 5 | "His voice carried that faint" | | 6 | "He stepped back, opening the" | | 7 | "She wanted to shove the" | | 8 | "He cleared a space among" | | 9 | "he said without turning around" | | 10 | "His shoulders tensed, the only" | | 11 | "She turned away, busying herself" | | 12 | "His sharp inhale told her" | | 13 | "His cane tapped once against" | | 14 | "She spun, bright blue eyes" | | 15 | "Their eyes held." | | 16 | "He stood with his back" | | 17 | "His laugh held no humor." | | 18 | "She crossed the room before" | | 19 | "They were inches apart." |
| | ratio | 0.366 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 112 | | matches | | 0 | "Aurora's knuckles hovered an inch" | | 1 | "She shifted the warm paper" | | 2 | "Her left wrist itched under" | | 3 | "The first deadbolt clacked." | | 4 | "The door swung inward." | | 5 | "Lucien Moreau stood framed in" | | 6 | "Charcoal suit cut sharp enough" | | 7 | "Both widened a fraction when" | | 8 | "Aurora's stomach performed a slow," | | 9 | "His mouth curved, that half-smirk" | | 10 | "The nickname landed like a" | | 11 | "She hadn't heard it in" | | 12 | "The silence stretched." | | 13 | "Ptolemy appeared between Lucien's polished" | | 14 | "Aurora's gaze dropped to the" | | 15 | "The one that hid a" | | 16 | "Both times for her." | | 17 | "she said, because somebody had" | | 18 | "His voice carried that faint" | | 19 | "Aurora's fingers tightened on the" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "His mouth curved, that half-smirk that used to unravel her in dark corners of Silas's bar." | | 1 | "The movement pulled his jacket tight across shoulders that had once carried her up three flights of stairs when her bike chain snapped." | | 2 | "He cleared a space among Eva's towering stacks of grimoires and set out two chipped plates with the casual efficiency of someone who had once known every inch o…" | | 3 | "She'd once traced them with her fingertips in the dark while he whispered things in French that made her arch off the sheets." | | 4 | "Fingers brushed her jaw, thumb tracing the line of her cheekbone with a reverence that made her chest ache." | | 5 | "The kind that had once convinced her to let a half-demon into her bed and her heart." | | 6 | "Inside Eva's flat, amidst the books and research notes and the abandoned spring rolls growing cold, two people who had once torn each other apart began the care…" |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he repeated (repeat)" |
| | dialogueSentences | 40 | | tagDensity | 0.175 | | leniency | 0.35 | | rawRatio | 0.286 | | effectiveRatio | 0.1 | |