| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 43 | | tagDensity | 0.558 | | leniency | 1 | | rawRatio | 0.042 | | effectiveRatio | 0.042 | |
| 69.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1148 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "carefully" | | 1 | "suddenly" | | 2 | "softly" | | 3 | "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) | |
| 21.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1148 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "tracing" | | 1 | "unreadable" | | 2 | "familiar" | | 3 | "lilt" | | 4 | "flicker" | | 5 | "intrigue" | | 6 | "navigating" | | 7 | "stomach" | | 8 | "could feel" | | 9 | "warmth" | | 10 | "fleeting" | | 11 | "intensity" | | 12 | "trembled" | | 13 | "restrained" | | 14 | "silence" | | 15 | "gleaming" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "hung in the air" | | 1 | "a flicker of amusement" |
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| 90.28% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 72 | | matches | | 0 | "felt a knot" | | 1 | "A surge of anger" | | 2 | "g with relief" |
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| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1141 | | ratio | 0.004 | | matches | | 0 | "What isn't he doing here?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 678 | | uniqueNames | 10 | | maxNameDensity | 1.47 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | Brick | 1 | | Lane | 1 | | French | 1 | | English | 1 | | Ptolemy | 2 | | Lucien | 8 | | Rory | 10 | | Remnants | 1 | | Years | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Rory" | | 4 | "Years" |
| | places | | | globalScore | 0.763 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1141 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 90 | | matches | | |
| 93.75% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 27.17 | | std | 12.99 | | cv | 0.478 | | sampleLengths | | 0 | 51 | | 1 | 3 | | 2 | 11 | | 3 | 35 | | 4 | 12 | | 5 | 38 | | 6 | 31 | | 7 | 44 | | 8 | 40 | | 9 | 19 | | 10 | 15 | | 11 | 13 | | 12 | 39 | | 13 | 46 | | 14 | 15 | | 15 | 22 | | 16 | 19 | | 17 | 57 | | 18 | 25 | | 19 | 45 | | 20 | 18 | | 21 | 13 | | 22 | 26 | | 23 | 26 | | 24 | 17 | | 25 | 25 | | 26 | 52 | | 27 | 13 | | 28 | 38 | | 29 | 18 | | 30 | 29 | | 31 | 36 | | 32 | 19 | | 33 | 20 | | 34 | 14 | | 35 | 22 | | 36 | 10 | | 37 | 43 | | 38 | 34 | | 39 | 31 | | 40 | 26 | | 41 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 15.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 90 | | ratio | 0.044 | | matches | | 0 | "Three locks—Eva insisted on them—felt excessive, even for Brick Lane." | | 1 | "The scent of rain and something subtly masculine—expensive cologne, likely—followed him." | | 2 | "Remnants of the heat lingered - a ghost of shared glances, stolen touches, and whispered promises." | | 3 | "“Trust is a strong word, Lucien. Especially coming from you.” She remembered the last time she'd placed her trust in him—the fallout had been brutal." |
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| 98.34% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 682 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.036656891495601175 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.021994134897360705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 12.68 | | std | 7.71 | | cv | 0.608 | | sampleLengths | | 0 | 9 | | 1 | 8 | | 2 | 10 | | 3 | 3 | | 4 | 21 | | 5 | 3 | | 6 | 10 | | 7 | 1 | | 8 | 13 | | 9 | 6 | | 10 | 9 | | 11 | 2 | | 12 | 2 | | 13 | 3 | | 14 | 12 | | 15 | 17 | | 16 | 16 | | 17 | 5 | | 18 | 21 | | 19 | 10 | | 20 | 16 | | 21 | 15 | | 22 | 13 | | 23 | 20 | | 24 | 11 | | 25 | 9 | | 26 | 9 | | 27 | 10 | | 28 | 10 | | 29 | 5 | | 30 | 9 | | 31 | 4 | | 32 | 39 | | 33 | 9 | | 34 | 30 | | 35 | 7 | | 36 | 3 | | 37 | 12 | | 38 | 15 | | 39 | 7 | | 40 | 19 | | 41 | 19 | | 42 | 22 | | 43 | 16 | | 44 | 12 | | 45 | 13 | | 46 | 20 | | 47 | 25 | | 48 | 8 | | 49 | 8 |
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| 78.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4888888888888889 | | totalSentences | 90 | | uniqueOpeners | 44 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Finally, it clicked." | | 1 | "Instead, she stared." |
| | ratio | 0.03 | |
| 22.99% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 67 | | matches | | 0 | "She pulled the door inward," | | 1 | "He leaned against the doorframe," | | 2 | "He hadn’t bothered with an" | | 3 | "he murmured, the French lilt" | | 4 | "She blinked, the delivery bag" | | 5 | "He pushed off the doorframe," | | 6 | "He didn't offer a smile," | | 7 | "he said, stepping past her" | | 8 | "It stirred a memory she’d" | | 9 | "He paused, his gaze sweeping" | | 10 | "she asked, her voice sharper" | | 11 | "She immediately regretted the defensiveness." | | 12 | "He ignored the barb, moving" | | 13 | "She gestured to the scattered" | | 14 | "He retrieved a stray teacup" | | 15 | "He placed the cup back" | | 16 | "She leaned against the doorframe," | | 17 | "he said, his voice softening," | | 18 | "His amber eye caught hers," | | 19 | "She looked away, focusing on" |
| | ratio | 0.493 | |
| 4.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 67 | | matches | | 0 | "The hallway smelled faintly of" | | 1 | "Rory wrestled with the deadbolt," | | 2 | "She pulled the door inward," | | 3 | "He leaned against the doorframe," | | 4 | "Rain plastered his platinum hair" | | 5 | "He hadn’t bothered with an" | | 6 | "Both were familiar." | | 7 | "he murmured, the French lilt" | | 8 | "She blinked, the delivery bag" | | 9 | "The question sounded ludicrous the" | | 10 | "He pushed off the doorframe," | | 11 | "He didn't offer a smile," | | 12 | "he said, stepping past her" | | 13 | "Ptolemy, Eva’s tabby, arched his" | | 14 | "Lucien merely glanced at the" | | 15 | "Rory retorted, crossing her arms" | | 16 | "The scent of rain and" | | 17 | "It stirred a memory she’d" | | 18 | "He paused, his gaze sweeping" | | 19 | "she asked, her voice sharper" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 8 | | matches | | 0 | "he murmured, the French lilt still present beneath his precise English" | | 1 | "she asked, her voice sharper than intended" | | 2 | "he said, his voice softening, a hint of apology lacing his words" | | 3 | "he hesitated, his gaze dropping to his hands," | | 4 | "he insisted, his voice gaining intensity" | | 5 | "he countered, his expression pained" | | 6 | "He paused, his voice taking on a desperate edge" | | 7 | "Rory conceded, her shoulders slumping slightly" |
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| 56.98% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Rory retorted (retort)" | | 2 | "he insisted (insist)" | | 3 | "Rory conceded (concede)" |
| | dialogueSentences | 43 | | tagDensity | 0.186 | | leniency | 0.372 | | rawRatio | 0.5 | | effectiveRatio | 0.186 | |