| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.026 | | leniency | 0.053 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1229 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 38.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1229 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "scanning" | | 2 | "chaotic" | | 3 | "chill" | | 4 | "silence" | | 5 | "reminder" | | 6 | "shimmered" | | 7 | "weight" | | 8 | "charged" | | 9 | "marble" | | 10 | "enigma" | | 11 | "warmth" | | 12 | "echoed" |
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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 | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 16 | | totalWords | 1227 | | ratio | 0.013 | | matches | | 0 | "They found the ledger, and they're coming for the girl in the flat above the bar." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 844 | | uniqueNames | 6 | | maxNameDensity | 1.3 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Rory | 11 | | Eva | 1 | | Lucien | 6 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 0.848 | | windowScore | 0.833 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like it was pulsing" | | 1 | "felt like a spark to a fuse" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.815 | | wordCount | 1227 | | matches | | 0 | "not to touch her, but to brush a stray strand of black hair away from her forehead" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 19.48 | | std | 17.25 | | cv | 0.886 | | sampleLengths | | 0 | 31 | | 1 | 6 | | 2 | 57 | | 3 | 6 | | 4 | 7 | | 5 | 4 | | 6 | 12 | | 7 | 56 | | 8 | 27 | | 9 | 11 | | 10 | 11 | | 11 | 30 | | 12 | 23 | | 13 | 22 | | 14 | 2 | | 15 | 61 | | 16 | 12 | | 17 | 18 | | 18 | 5 | | 19 | 42 | | 20 | 29 | | 21 | 4 | | 22 | 18 | | 23 | 8 | | 24 | 17 | | 25 | 68 | | 26 | 8 | | 27 | 23 | | 28 | 7 | | 29 | 3 | | 30 | 7 | | 31 | 14 | | 32 | 49 | | 33 | 28 | | 34 | 36 | | 35 | 4 | | 36 | 7 | | 37 | 15 | | 38 | 13 | | 39 | 45 | | 40 | 2 | | 41 | 3 | | 42 | 2 | | 43 | 9 | | 44 | 69 | | 45 | 5 | | 46 | 6 | | 47 | 3 | | 48 | 33 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 132 | | matches | | 0 | "was pulsing" | | 1 | "was like trying" | | 2 | "was burning" |
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| 85.14% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 99 | | ratio | 0.02 | | matches | | 0 | "He leaned slightly on his ivory-handled cane, his heterochromatic eyes—one amber, one a void of black—scanning her face with a clinical, devastating precision." | | 1 | "She also knew the way he looked at her when he thought she wasn't paying attention—like she was a puzzle he had solved but couldn't stop rearranging." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 851 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 31 | | adverbRatio | 0.036427732079905996 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010575793184488837 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.39 | | std | 7.29 | | cv | 0.588 | | sampleLengths | | 0 | 10 | | 1 | 21 | | 2 | 6 | | 3 | 22 | | 4 | 12 | | 5 | 23 | | 6 | 6 | | 7 | 7 | | 8 | 4 | | 9 | 12 | | 10 | 6 | | 11 | 20 | | 12 | 30 | | 13 | 14 | | 14 | 13 | | 15 | 11 | | 16 | 11 | | 17 | 9 | | 18 | 21 | | 19 | 23 | | 20 | 22 | | 21 | 2 | | 22 | 3 | | 23 | 12 | | 24 | 12 | | 25 | 13 | | 26 | 21 | | 27 | 12 | | 28 | 18 | | 29 | 5 | | 30 | 17 | | 31 | 20 | | 32 | 5 | | 33 | 4 | | 34 | 19 | | 35 | 6 | | 36 | 4 | | 37 | 18 | | 38 | 8 | | 39 | 17 | | 40 | 13 | | 41 | 14 | | 42 | 4 | | 43 | 10 | | 44 | 27 | | 45 | 8 | | 46 | 23 | | 47 | 7 | | 48 | 3 | | 49 | 7 |
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| 41.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.30303030303030304 | | totalSentences | 99 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 61 | | matches | | 0 | "Instead, he held it just" | | 1 | "Then, as if breathed into" |
| | ratio | 0.033 | |
| 10.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 61 | | matches | | 0 | "He looked exactly as he" | | 1 | "He leaned slightly on his" | | 2 | "He didn't wait for an" | | 3 | "He stepped past her into" | | 4 | "He landed with a soft" | | 5 | "He paused by a particularly" | | 6 | "He moved closer." | | 7 | "He smelled of sandalwood and" | | 8 | "He didn't stop until he" | | 9 | "His voice dropped an octave," | | 10 | "He reached out, not to" | | 11 | "She caught sight of the" | | 12 | "It felt like it was" | | 13 | "He shifted his weight, the" | | 14 | "She knew the thin, lethal" | | 15 | "She also knew the way" | | 16 | "He smiled, a thin, predatory" | | 17 | "He stepped into her personal" | | 18 | "He leaned in, his lips" | | 19 | "Her hands lingered on the" |
| | ratio | 0.525 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 61 | | matches | | 0 | "The three deadbolts clicked open" | | 1 | "Rory pulled the door wide," | | 2 | "Lucien Moreau stood in the" | | 3 | "He looked exactly as he" | | 4 | "A tailored charcoal suit hugged" | | 5 | "He leaned slightly on his" | | 6 | "Rory gripped the doorframe, her" | | 7 | "He didn't wait for an" | | 8 | "He stepped past her into" | | 9 | "The space was a chaotic" | | 10 | "Ptolemy, the tabby cat, leapt" | | 11 | "He landed with a soft" | | 12 | "Lucien turned, his gaze drifting" | | 13 | "He paused by a particularly" | | 14 | "He moved closer." | | 15 | "The space in the flat" | | 16 | "He smelled of sandalwood and" | | 17 | "Rory backed away, her heel" | | 18 | "He didn't stop until he" | | 19 | "His voice dropped an octave," |
| | ratio | 0.951 | |
| 81.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 61 | | matches | | 0 | "Before Rory could scream a" |
| | ratio | 0.016 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "He pulled her flush against him, the contrast of her soft knit sweater against his stiff suit creating a friction that felt like a spark to a fuse." | | 1 | "He stepped back, the sudden absence of his warmth leaving her shivering." | | 2 | "Then, as if breathed into existence by an invisible lung, red ink began to bleed through the fibers, forming a single, jagged sentence." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |