| 28.57% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "silk wrapped around [around]" | | 1 | "His fingers tightened around [around]" | | 2 | "her wrist itched like [like]" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.214 | | effectiveRatio | 0.171 | |
| 73.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 950 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "slowly" | | 2 | "softly" | | 3 | "very" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 950 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "silk" | | 1 | "glinting" | | 2 | "warmth" | | 3 | "flickered" | | 4 | "tension" | | 5 | "normalcy" | | 6 | "flicked" | | 7 | "flicker" | | 8 | "trembled" | | 9 | "weight" | | 10 | "jaw clenched" | | 11 | "silence" | | 12 | "footsteps" | | 13 | "chaotic" | | 14 | "symphony" | | 15 | "whisper" | | 16 | "charged" | | 17 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 943 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 633 | | uniqueNames | 7 | | maxNameDensity | 1.11 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Ptolemy | 3 | | Eva | 1 | | Lucien | 7 | | Aurora | 2 | | London | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Aurora" |
| | places | | | globalScore | 0.947 | | windowScore | 1 | |
| 28.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach that splitting amber-black gaze" | | 1 | "as if drawing strength from the weight" |
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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 | 943 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 85.01% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 30.42 | | std | 13.61 | | cv | 0.448 | | sampleLengths | | 0 | 58 | | 1 | 29 | | 2 | 35 | | 3 | 14 | | 4 | 53 | | 5 | 49 | | 6 | 52 | | 7 | 22 | | 8 | 41 | | 9 | 39 | | 10 | 32 | | 11 | 29 | | 12 | 50 | | 13 | 14 | | 14 | 6 | | 15 | 33 | | 16 | 32 | | 17 | 42 | | 18 | 25 | | 19 | 17 | | 20 | 37 | | 21 | 37 | | 22 | 16 | | 23 | 34 | | 24 | 16 | | 25 | 36 | | 26 | 29 | | 27 | 25 | | 28 | 17 | | 29 | 18 | | 30 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 104 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 72 | | ratio | 0.069 | | matches | | 0 | "She rolled her eyes, weirdly reminded of knocks on courtroom doors from her law days—urgent, impatient, recklessly confident." | | 1 | "Aurora didn’t move to close the door fully; the three deadbolts stayed out of sight behind the frame as she led the way into the flat." | | 2 | "The silence stretched until the distant sound of footsteps on the street below pierced through—the chaotic symphony of Brick Lane lunch hour." | | 3 | "The air thickened, charged with the weight of that unspoken history—the nights spent tangled in shadows and whispered secrets, the fights that nearly broke them, the almost love that had crackled between two very different worlds." | | 4 | "She hesitated, the years of hurt and hesitation warring with the flicker of something she’d almost forgotten—hope." |
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| 86.26% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 639 | | adjectiveStacks | 1 | | stackExamples | | 0 | "splitting amber-black gaze." |
| | adverbCount | 31 | | adverbRatio | 0.048513302034428794 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.02034428794992175 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 13.1 | | std | 7.33 | | cv | 0.56 | | sampleLengths | | 0 | 26 | | 1 | 4 | | 2 | 18 | | 3 | 10 | | 4 | 17 | | 5 | 11 | | 6 | 1 | | 7 | 16 | | 8 | 19 | | 9 | 9 | | 10 | 5 | | 11 | 5 | | 12 | 23 | | 13 | 25 | | 14 | 31 | | 15 | 10 | | 16 | 8 | | 17 | 26 | | 18 | 8 | | 19 | 18 | | 20 | 17 | | 21 | 5 | | 22 | 21 | | 23 | 20 | | 24 | 15 | | 25 | 24 | | 26 | 8 | | 27 | 15 | | 28 | 9 | | 29 | 7 | | 30 | 18 | | 31 | 4 | | 32 | 23 | | 33 | 21 | | 34 | 6 | | 35 | 4 | | 36 | 10 | | 37 | 3 | | 38 | 3 | | 39 | 22 | | 40 | 11 | | 41 | 14 | | 42 | 18 | | 43 | 16 | | 44 | 12 | | 45 | 14 | | 46 | 12 | | 47 | 13 | | 48 | 7 | | 49 | 10 |
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| 77.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4722222222222222 | | totalSentences | 72 | | uniqueOpeners | 34 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 49 | | matches | | 0 | "Somewhere in all this tension," |
| | ratio | 0.02 | |
| 40.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 49 | | matches | | 0 | "She rolled her eyes, weirdly" | | 1 | "She crossed the room with" | | 2 | "His tailored charcoal suit clung" | | 3 | "His voice was silk wrapped" | | 4 | "She let her eyes drift" | | 5 | "His voice lowered, smooth but" | | 6 | "His fingers tightened around the" | | 7 | "Her hands curved into fists" | | 8 | "He smiled, dangerously close to" | | 9 | "His amber eye caught the" | | 10 | "she snapped, stepping forward so" | | 11 | "She inhaled sharply." | | 12 | "She swallowed the lie trembling" | | 13 | "she admitted with a reluctant" | | 14 | "He studied her with a" | | 15 | "Her throat seized, but she" | | 16 | "His gaze pinned her." | | 17 | "she shot back, bitter" | | 18 | "He stepped closer, voice dropping" | | 19 | "she admitted, voice trembling against" |
| | ratio | 0.449 | |
| 0.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 49 | | matches | | 0 | "Aurora frowned at the sharp" | | 1 | "She rolled her eyes, weirdly" | | 2 | "She crossed the room with" | | 3 | "The face that greeted her" | | 4 | "The faintest smirk curled on" | | 5 | "His tailored charcoal suit clung" | | 6 | "His voice was silk wrapped" | | 7 | "Something tightened inside her chest." | | 8 | "She let her eyes drift" | | 9 | "The words fell blunt, none" | | 10 | "Lucien’s gaze flickered briefly to" | | 11 | "His voice lowered, smooth but" | | 12 | "Aurora didn’t move to close" | | 13 | "Ptolemy lifted his head, eyes" | | 14 | "Lucien took the smallest pause" | | 15 | "Rory’s glance flicked to the" | | 16 | "A flicker of pain trembled" | | 17 | "His fingers tightened around the" | | 18 | "Her hands curved into fists" | | 19 | "The words cracked out rougher" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora frowned at the sharp knock on the door, glancing down at Ptolemy who had nestled into a sunbeam by the window, untouched by the commotion." | | 1 | "The face that greeted her was the last person she expected." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "His voice lowered, smooth but tense" | | 1 | "she shot back, bitter" | | 2 | "she admitted, voice trembling against the edge of fierce" | | 3 | "He offered, steady" |
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| 35.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "Rory’s glance flicked (flick)" | | 1 | "she snapped (snap)" | | 2 | "she admitted (admit)" | | 3 | "she admitted (admit)" |
| | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 1 | | effectiveRatio | 0.229 | |