| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "he said simply [simply]" |
| | dialogueSentences | 33 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.2 | | effectiveRatio | 0.121 | |
| 71.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 885 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "slightly" |
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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 | 885 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "tracing" | | 1 | "weight" | | 2 | "anticipation" | | 3 | "pulse" | | 4 | "quickened" | | 5 | "loomed" | | 6 | "etched" | | 7 | "pristine" | | 8 | "unwavering" | | 9 | "intensity" | | 10 | "pounding" | | 11 | "calculating" | | 12 | "fleeting" | | 13 | "flickered" | | 14 | "flicker" | | 15 | "echoed" | | 16 | "scanning" | | 17 | "electric" | | 18 | "reminder" | | 19 | "silence" | | 20 | "unspoken" | | 21 | "fractured" |
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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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 868 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 633 | | uniqueNames | 6 | | maxNameDensity | 1.26 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Eva | 1 | | Ptolemy | 2 | | Lucien | 8 | | Marseille | 1 | | Aurora | 5 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Aurora" |
| | places | | | globalScore | 0.868 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | 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 | 868 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 19.29 | | std | 14.15 | | cv | 0.733 | | sampleLengths | | 0 | 70 | | 1 | 52 | | 2 | 53 | | 3 | 6 | | 4 | 18 | | 5 | 32 | | 6 | 9 | | 7 | 4 | | 8 | 16 | | 9 | 11 | | 10 | 19 | | 11 | 25 | | 12 | 11 | | 13 | 29 | | 14 | 10 | | 15 | 6 | | 16 | 28 | | 17 | 11 | | 18 | 18 | | 19 | 23 | | 20 | 24 | | 21 | 10 | | 22 | 34 | | 23 | 8 | | 24 | 13 | | 25 | 14 | | 26 | 20 | | 27 | 9 | | 28 | 21 | | 29 | 18 | | 30 | 4 | | 31 | 17 | | 32 | 16 | | 33 | 8 | | 34 | 7 | | 35 | 22 | | 36 | 7 | | 37 | 46 | | 38 | 11 | | 39 | 7 | | 40 | 9 | | 41 | 19 | | 42 | 15 | | 43 | 41 | | 44 | 17 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 68 | | matches | | 0 | "been carved" | | 1 | "been—made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 91 | | ratio | 0.088 | | matches | | 0 | "She didn’t know what she’d find—him, Lucien, standing there, limbs tense, or perhaps gone." | | 1 | "The scent of leather and something darker seeped into her nostrils—cigarettes, maybe, or something sharper." | | 2 | "Eyes—heterochromatic, one amber, one black—locked onto her with unwavering intensity." | | 3 | "Memories flickered—pain, anger, things she’d buried months ago." | | 4 | "His presence still tugged at something buried deep inside her—a spark she had thought extinguished." | | 5 | "Her fingers brushed his briefly—an electric, fleeting contact she refused to dwell on." | | 6 | "A flicker of something in her belly—a reminder of what they’d once been—made her voice softer." | | 7 | "Aurora looked at him—this man who’d once been her anchor and her storm—wondering if she’d just walked back into a nightmare, or if she’d found something worth fighting for again." |
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| 77.32% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 645 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small leather-bound notebook," |
| | adverbCount | 38 | | adverbRatio | 0.05891472868217054 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.020155038759689922 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 9.54 | | std | 6.05 | | cv | 0.634 | | sampleLengths | | 0 | 18 | | 1 | 9 | | 2 | 20 | | 3 | 23 | | 4 | 8 | | 5 | 14 | | 6 | 15 | | 7 | 15 | | 8 | 7 | | 9 | 24 | | 10 | 12 | | 11 | 10 | | 12 | 4 | | 13 | 2 | | 14 | 6 | | 15 | 12 | | 16 | 9 | | 17 | 4 | | 18 | 19 | | 19 | 9 | | 20 | 4 | | 21 | 11 | | 22 | 5 | | 23 | 7 | | 24 | 4 | | 25 | 6 | | 26 | 4 | | 27 | 9 | | 28 | 6 | | 29 | 19 | | 30 | 3 | | 31 | 8 | | 32 | 6 | | 33 | 17 | | 34 | 6 | | 35 | 2 | | 36 | 8 | | 37 | 6 | | 38 | 11 | | 39 | 17 | | 40 | 4 | | 41 | 7 | | 42 | 4 | | 43 | 14 | | 44 | 8 | | 45 | 15 | | 46 | 11 | | 47 | 2 | | 48 | 11 | | 49 | 8 |
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| 83.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5164835164835165 | | totalSentences | 91 | | uniqueOpeners | 47 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Then he looked away, voice" |
| | ratio | 0.016 | |
| 16.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 63 | | matches | | 0 | "She hadn’t expected anyone tonight," | | 1 | "She didn’t know what she’d" | | 2 | "He was the sort of" | | 3 | "His platinum hair slicked back," | | 4 | "She kept her stance neutral," | | 5 | "He stepped forward, cane murmuring" | | 6 | "He studied her with that" | | 7 | "he said, voice smooth, almost" | | 8 | "She folded her arms." | | 9 | "Her voice came out rougher" | | 10 | "She eyed him, wary." | | 11 | "He shrugged, subtly shifting his" | | 12 | "Her gaze sharpened." | | 13 | "He chuckled softly, the smile" | | 14 | "He stepped closer, cane in" | | 15 | "she asked, voice husky" | | 16 | "He leaned slightly forward." | | 17 | "She considered him, wary but" | | 18 | "His presence still tugged at" | | 19 | "she said finally, voice quiet" |
| | ratio | 0.508 | |
| 23.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 63 | | matches | | 0 | "Aurora Carter stood in the" | | 1 | "She hadn’t expected anyone tonight," | | 2 | "The dim hallway spilled faint" | | 3 | "The faint hum of distant" | | 4 | "The weight of anticipation pressed" | | 5 | "She didn’t know what she’d" | | 6 | "The scent of leather and" | | 7 | "Lucien’s figure loomed just inside," | | 8 | "He was the sort of" | | 9 | "His platinum hair slicked back," | | 10 | "Time seemed to stretch." | | 11 | "Aurora’s lips pressed together, bracing" | | 12 | "She kept her stance neutral," | | 13 | "He stepped forward, cane murmuring" | | 14 | "The ivory handle gleamed." | | 15 | "He studied her with that" | | 16 | "he said, voice smooth, almost" | | 17 | "She folded her arms." | | 18 | "Her voice came out rougher" | | 19 | "Lucien murmured, voice low" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora looked at him—this man who’d once been her anchor and her storm—wondering if she’d just walked back into a nightmare, or if she’d found something worth f…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 5 | | matches | | 0 | "Lucien murmured, voice low" | | 1 | "she asked, voice husky" | | 2 | "Aurora echoed, challenging" | | 3 | "she said finally, voice quiet but firm" | | 4 | "he said, voice edged with irony" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien murmured (murmur)" |
| | dialogueSentences | 33 | | tagDensity | 0.212 | | leniency | 0.424 | | rawRatio | 0.143 | | effectiveRatio | 0.061 | |