| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "His gaze shifted again [again]" |
| | dialogueSentences | 149 | | tagDensity | 0.141 | | leniency | 0.282 | | rawRatio | 0.048 | | effectiveRatio | 0.013 | |
| 84.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2236 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "deliberately" | | 4 | "carefully" | | 5 | "quickly" |
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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) | |
| 55.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2236 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "intensity" | | 1 | "flicked" | | 2 | "sense of" | | 3 | "silence" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "footsteps" | | 7 | "comforting" | | 8 | "warmth" | | 9 | "flicker" | | 10 | "familiar" | | 11 | "whisper" | | 12 | "mechanical" | | 13 | "tracing" | | 14 | "fleeting" |
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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 | 171 | | matches | (empty) | |
| 50.96% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 7 | | narrationSentences | 171 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "managed to" | | 3 | "try to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 299 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2235 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 36 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1447 | | uniqueNames | 9 | | maxNameDensity | 1.24 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 16 | | Moreau | 1 | | Rory | 18 | | Ptolemy | 4 | | Eva | 8 | | Empress | 2 | | Yu-Fei | 1 | | Call | 1 | | Golden | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Eva" | | 5 | "Yu-Fei" |
| | places | | | globalScore | 0.878 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.447 | | wordCount | 2235 | | matches | | 0 | "Not much, but enough: the guardedness eased, leaving something exposed ben" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 299 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 188 | | mean | 11.89 | | std | 13.05 | | cv | 1.098 | | sampleLengths | | 0 | 6 | | 1 | 66 | | 2 | 12 | | 3 | 15 | | 4 | 1 | | 5 | 1 | | 6 | 7 | | 7 | 18 | | 8 | 53 | | 9 | 6 | | 10 | 2 | | 11 | 3 | | 12 | 13 | | 13 | 12 | | 14 | 36 | | 15 | 4 | | 16 | 1 | | 17 | 5 | | 18 | 12 | | 19 | 8 | | 20 | 3 | | 21 | 8 | | 22 | 3 | | 23 | 34 | | 24 | 9 | | 25 | 8 | | 26 | 26 | | 27 | 2 | | 28 | 13 | | 29 | 35 | | 30 | 15 | | 31 | 13 | | 32 | 16 | | 33 | 5 | | 34 | 18 | | 35 | 5 | | 36 | 11 | | 37 | 18 | | 38 | 2 | | 39 | 4 | | 40 | 5 | | 41 | 7 | | 42 | 9 | | 43 | 16 | | 44 | 20 | | 45 | 6 | | 46 | 42 | | 47 | 18 | | 48 | 4 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 171 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 277 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 299 | | ratio | 0.01 | | matches | | 0 | "The landing was otherwise empty, but she’d heard no footsteps, no voices—only the low rain hiss beyond the building and Ptolemy’s impatient chirp from somewhere among Eva’s books." | | 1 | "No one except—" | | 2 | "His amber eye held hers; the black one seemed to absorb the lamplight." |
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| 98.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1449 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.041407867494824016 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008971704623878536 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 299 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 299 | | mean | 7.47 | | std | 5.9 | | cv | 0.789 | | sampleLengths | | 0 | 6 | | 1 | 27 | | 2 | 7 | | 3 | 13 | | 4 | 19 | | 5 | 8 | | 6 | 4 | | 7 | 11 | | 8 | 4 | | 9 | 1 | | 10 | 1 | | 11 | 7 | | 12 | 6 | | 13 | 2 | | 14 | 10 | | 15 | 43 | | 16 | 10 | | 17 | 6 | | 18 | 2 | | 19 | 3 | | 20 | 8 | | 21 | 5 | | 22 | 12 | | 23 | 3 | | 24 | 28 | | 25 | 5 | | 26 | 4 | | 27 | 1 | | 28 | 5 | | 29 | 12 | | 30 | 7 | | 31 | 1 | | 32 | 3 | | 33 | 8 | | 34 | 3 | | 35 | 13 | | 36 | 6 | | 37 | 15 | | 38 | 9 | | 39 | 8 | | 40 | 5 | | 41 | 6 | | 42 | 6 | | 43 | 9 | | 44 | 2 | | 45 | 13 | | 46 | 7 | | 47 | 2 | | 48 | 21 | | 49 | 5 |
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| 44.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.22408026755852842 | | totalSentences | 299 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 151 | | matches | | 0 | "Then her gaze lifted to" | | 1 | "Just enough to stop it," | | 2 | "Instead, he stood in Eva’s" | | 3 | "Somewhere below them, a door" | | 4 | "Instead, there was warmth." |
| | ratio | 0.033 | |
| 47.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 65 | | totalSentences | 151 | | matches | | 0 | "She tightened her fingers on" | | 1 | "His eyes flicked over her" | | 2 | "She began to close the" | | 3 | "He caught it with his" | | 4 | "She’d spent weeks convincing herself" | | 5 | "His gaze shifted again, past" | | 6 | "She looked back at Lucien." | | 7 | "She glanced down the corridor" | | 8 | "She hated that he could" | | 9 | "He did not reach for" | | 10 | "He did not soften his" | | 11 | "He knew better than to" | | 12 | "She pictured the kitchen’s red" | | 13 | "She knew no one who" | | 14 | "She forced herself to keep" | | 15 | "It was gone almost before" | | 16 | "It made her remember his" | | 17 | "She let him in and" | | 18 | "She moved past him into" | | 19 | "She crossed her arms, hiding" |
| | ratio | 0.43 | |
| 26.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 151 | | matches | | 0 | "The door opened on Lucien" | | 1 | "Platinum hair slicked back from" | | 2 | "She tightened her fingers on" | | 3 | "His eyes flicked over her" | | 4 | "She began to close the" | | 5 | "He caught it with his" | | 6 | "The sight of it sent" | | 7 | "She’d spent weeks convincing herself" | | 8 | "His gaze shifted again, past" | | 9 | "This time, she followed it." | | 10 | "Rory’s pulse quickened." | | 11 | "The landing was otherwise empty," | | 12 | "She looked back at Lucien." | | 13 | "She glanced down the corridor" | | 14 | "She hated that he could" | | 15 | "The laugh stuck in her" | | 16 | "The words sank into her" | | 17 | "Lucien watched her absorb them." | | 18 | "He did not reach for" | | 19 | "He did not soften his" |
| | ratio | 0.868 | |
| 33.11% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 151 | | matches | | 0 | "Now the page looked like" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 2 | | matches | | 0 | "One amber eye, one black, both fixed on her with an intensity that made the narrow landing feel smaller." | | 1 | "Instead, he stood in Eva’s crowded living room with rain darkening his shoulders, giving her every reason to send him back into the night and one maddening reas…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 149 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0.154 | | effectiveRatio | 0.027 | |