| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "His cane tapped once [once]" |
| | dialogueSentences | 48 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.111 | | effectiveRatio | 0.042 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1146 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 43.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1146 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "familiar" | | 2 | "echoed" | | 3 | "jaw clenched" | | 4 | "flicked" | | 5 | "unravel" | | 6 | "charged" | | 7 | "reminder" | | 8 | "silence" | | 9 | "flicker" | | 10 | "trembled" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1130 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 894 | | uniqueNames | 7 | | maxNameDensity | 1.68 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Moreau | 1 | | Aurora | 15 | | Eva | 4 | | Earl | 1 | | Grey | 1 | | Lucien | 7 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Eva" | | 4 | "Earl" | | 5 | "Grey" | | 6 | "Lucien" |
| | places | (empty) | | globalScore | 0.661 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | 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 | 1130 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 132 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 20.93 | | std | 16.61 | | cv | 0.794 | | sampleLengths | | 0 | 59 | | 1 | 64 | | 2 | 13 | | 3 | 40 | | 4 | 7 | | 5 | 26 | | 6 | 81 | | 7 | 9 | | 8 | 14 | | 9 | 17 | | 10 | 2 | | 11 | 33 | | 12 | 16 | | 13 | 7 | | 14 | 35 | | 15 | 13 | | 16 | 11 | | 17 | 17 | | 18 | 6 | | 19 | 34 | | 20 | 14 | | 21 | 16 | | 22 | 37 | | 23 | 21 | | 24 | 8 | | 25 | 19 | | 26 | 16 | | 27 | 22 | | 28 | 12 | | 29 | 14 | | 30 | 10 | | 31 | 25 | | 32 | 50 | | 33 | 4 | | 34 | 11 | | 35 | 48 | | 36 | 11 | | 37 | 5 | | 38 | 52 | | 39 | 5 | | 40 | 12 | | 41 | 8 | | 42 | 29 | | 43 | 7 | | 44 | 4 | | 45 | 19 | | 46 | 28 | | 47 | 15 | | 48 | 27 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 34.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 132 | | ratio | 0.038 | | matches | | 0 | "The air in the hallway shifted, thick with the scent of bergamot and something darker—something that made her pulse jump even after all these years." | | 1 | "The flat smelled of spiced tea and old paper—Eva’s domain, cluttered with books and half-finished research." | | 2 | "His hand—smooth, unmarked—pressed against his ribs where the sleeve of his jacket had rucked up." | | 3 | "\"And keeps you alive.\" His gaze dropped to her wrist, where the scar from childhood—small, crescent-shaped—peaked from beneath her sleeve." | | 4 | "Then, from the doorway, the faintest sound—a *thud*, like something heavy had been dropped." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 908 | | adjectiveStacks | 1 | | stackExamples | | 0 | "smooth, unmarked—pressed against his" |
| | adverbCount | 33 | | adverbRatio | 0.03634361233480176 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005506607929515419 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 8.56 | | std | 6.35 | | cv | 0.742 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 25 | | 3 | 27 | | 4 | 14 | | 5 | 23 | | 6 | 13 | | 7 | 6 | | 8 | 26 | | 9 | 8 | | 10 | 3 | | 11 | 4 | | 12 | 23 | | 13 | 3 | | 14 | 12 | | 15 | 32 | | 16 | 16 | | 17 | 21 | | 18 | 6 | | 19 | 3 | | 20 | 11 | | 21 | 3 | | 22 | 2 | | 23 | 9 | | 24 | 6 | | 25 | 2 | | 26 | 15 | | 27 | 9 | | 28 | 9 | | 29 | 11 | | 30 | 5 | | 31 | 7 | | 32 | 7 | | 33 | 13 | | 34 | 9 | | 35 | 6 | | 36 | 9 | | 37 | 4 | | 38 | 9 | | 39 | 2 | | 40 | 6 | | 41 | 11 | | 42 | 2 | | 43 | 4 | | 44 | 20 | | 45 | 2 | | 46 | 4 | | 47 | 8 | | 48 | 10 | | 49 | 4 |
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| 45.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3106060606060606 | | totalSentences | 132 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 85 | | matches | | 0 | "Then, because she couldn’t stand" | | 1 | "Of course he did." | | 2 | "Instead, she turned toward the" | | 3 | "Somewhere in the distance, a" | | 4 | "Then, from the doorway, the" | | 5 | "Somewhere, a car horn blared." |
| | ratio | 0.071 | |
| 97.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 85 | | matches | | 0 | "His amber eye caught the" | | 1 | "she said, voice steadier than" | | 2 | "His cane tapped once against" | | 3 | "His gaze flicked past her," | | 4 | "She stepped back, letting him" | | 5 | "His hand—smooth, unmarked—pressed against his" | | 6 | "She rolled her eyes, but" | | 7 | "She opened her mouth, then" | | 8 | "she corrected, though her voice" | | 9 | "He tilted his head, studying" | | 10 | "His gaze dropped to her" | | 11 | "She yanked her arm back," | | 12 | "His voice dropped, rough with" | | 13 | "She wanted to argue." | | 14 | "His smile was slow, dangerous" | | 15 | "She turned, hands clenched around" | | 16 | "He followed her into the" | | 17 | "His gaze locked onto hers." | | 18 | "She set the mugs down" | | 19 | "He stepped closer, close enough" |
| | ratio | 0.306 | |
| 42.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 85 | | matches | | 0 | "The door swung open before" | | 1 | "Aurora Carter froze mid-step, her" | | 2 | "The air in the hallway" | | 3 | "Lucien Moreau stood there, his" | | 4 | "His amber eye caught the" | | 5 | "she said, voice steadier than" | | 6 | "A faint smirk curled his" | | 7 | "His cane tapped once against" | | 8 | "Aurora’s jaw clenched." | | 9 | "His gaze flicked past her," | | 10 | "The words hung between them," | | 11 | "She stepped back, letting him" | | 12 | "The flat smelled of spiced" | | 13 | "Ptolemy, the tabby, materialised from" | | 14 | "Lucien didn’t move from the" | | 15 | "Aurora exhaled through her nose," | | 16 | "The kind that stretched longer" | | 17 | "His hand—smooth, unmarked—pressed against his" | | 18 | "A thin line of red" | | 19 | "She rolled her eyes, but" |
| | ratio | 0.835 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "The air in the hallway shifted, thick with the scent of bergamot and something darker—something that made her pulse jump even after all these years." | | 1 | "Lucien Moreau stood there, his tailored charcoal suit stretching over broad shoulders, the platinum blond hair slicked back in that familiar way that made her t…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, voice steadier than she felt" | | 1 | "she corrected, though her voice lacked conviction" | | 2 | "He followed, the cane tapping against the tiles" | | 3 | "His voice dropped, rough" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she corrected (correct)" |
| | dialogueSentences | 48 | | tagDensity | 0.042 | | leniency | 0.083 | | rawRatio | 0.5 | | effectiveRatio | 0.042 | |