| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1978 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "suddenly" | | 1 | "deliberately" | | 2 | "perfectly" |
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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) | |
| 44.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1978 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "lilt" | | 1 | "flickered" | | 2 | "measured" | | 3 | "stomach" | | 4 | "echoed" | | 5 | "silence" | | 6 | "pulse" | | 7 | "predator" | | 8 | "ensuring" | | 9 | "trembled" | | 10 | "traced" | | 11 | "vibrated" | | 12 | "thundered" | | 13 | "flicked" | | 14 | "whisper" |
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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 | 154 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 154 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1978 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1485 | | uniqueNames | 10 | | maxNameDensity | 0.94 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Marseille | 1 | | Lucien | 14 | | Rory | 9 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Shoreditch | 1 | | Moreau | 1 | | Eva | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Lucien" | | 1 | "Rory" | | 2 | "Yu-Fei" | | 3 | "Moreau" | | 4 | "Eva" | | 5 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "Shoreditch" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 2 | | matches | | 0 | "as though taking sides" | | 1 | "seemed smaller the air thicker" |
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| 98.89% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.011 | | wordCount | 1978 | | matches | | 0 | "Not close enough to touch, but close enough" | | 1 | "Not after you left me in that hotel with nothing but a note" |
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| 94.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 184 | | matches | | 0 | "remembered that fact" | | 1 | "chose that moment" | | 2 | "remembered that growl" | | 3 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 29.52 | | std | 18.99 | | cv | 0.643 | | sampleLengths | | 0 | 61 | | 1 | 15 | | 2 | 44 | | 3 | 16 | | 4 | 20 | | 5 | 38 | | 6 | 4 | | 7 | 1 | | 8 | 37 | | 9 | 37 | | 10 | 61 | | 11 | 15 | | 12 | 6 | | 13 | 50 | | 14 | 7 | | 15 | 13 | | 16 | 51 | | 17 | 34 | | 18 | 31 | | 19 | 15 | | 20 | 8 | | 21 | 50 | | 22 | 37 | | 23 | 48 | | 24 | 30 | | 25 | 62 | | 26 | 17 | | 27 | 3 | | 28 | 32 | | 29 | 42 | | 30 | 1 | | 31 | 17 | | 32 | 60 | | 33 | 47 | | 34 | 47 | | 35 | 39 | | 36 | 48 | | 37 | 30 | | 38 | 40 | | 39 | 40 | | 40 | 1 | | 41 | 18 | | 42 | 11 | | 43 | 3 | | 44 | 72 | | 45 | 54 | | 46 | 51 | | 47 | 19 | | 48 | 40 | | 49 | 57 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 260 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1493 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.034829202947086406 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.010046885465505693 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 10.75 | | std | 7.36 | | cv | 0.685 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 29 | | 3 | 15 | | 4 | 14 | | 5 | 12 | | 6 | 18 | | 7 | 13 | | 8 | 3 | | 9 | 7 | | 10 | 13 | | 11 | 19 | | 12 | 9 | | 13 | 6 | | 14 | 4 | | 15 | 4 | | 16 | 1 | | 17 | 9 | | 18 | 1 | | 19 | 27 | | 20 | 3 | | 21 | 13 | | 22 | 16 | | 23 | 5 | | 24 | 6 | | 25 | 26 | | 26 | 15 | | 27 | 14 | | 28 | 4 | | 29 | 11 | | 30 | 6 | | 31 | 8 | | 32 | 31 | | 33 | 11 | | 34 | 7 | | 35 | 13 | | 36 | 6 | | 37 | 6 | | 38 | 19 | | 39 | 9 | | 40 | 11 | | 41 | 12 | | 42 | 22 | | 43 | 24 | | 44 | 7 | | 45 | 6 | | 46 | 9 | | 47 | 8 | | 48 | 28 | | 49 | 9 |
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| 52.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.33695652173913043 | | totalSentences | 184 | | uniqueOpeners | 62 | |
| 23.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 142 | | matches | | 0 | "Just enough to still her." |
| | ratio | 0.007 | |
| 48.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 142 | | matches | | 0 | "She kept her grip on" | | 1 | "His amber eye caught the" | | 2 | "She laughed once, sharp enough" | | 3 | "He took one measured step" | | 4 | "She did not retreat." | | 5 | "He exhaled through his nose," | | 6 | "She glanced down the narrow" | | 7 | "She folded her arms." | | 8 | "He moved deeper into the" | | 9 | "he continued, voice softer now" | | 10 | "She crossed to the kitchenette" | | 11 | "She slammed the kettle onto" | | 12 | "He crossed the small space" | | 13 | "She remembered that fact in" | | 14 | "His words came clipped, each" | | 15 | "She refused to look away" | | 16 | "He reached into his breast" | | 17 | "It showed her leaving the" | | 18 | "She took the photo." | | 19 | "Her fingers brushed his." |
| | ratio | 0.43 | |
| 9.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 128 | | totalSentences | 142 | | matches | | 0 | "Rory yanked the final deadbolt" | | 1 | "Lucien stood on the threshold," | | 2 | "The faint spice of curry" | | 3 | "She kept her grip on" | | 4 | "His amber eye caught the" | | 5 | "Platinum hair swept back from" | | 6 | "The charcoal suit hugged his" | | 7 | "The single word carried the" | | 8 | "She laughed once, sharp enough" | | 9 | "Ptolemy wound between her ankles," | | 10 | "Something flickered across his expression," | | 11 | "He took one measured step" | | 12 | "She did not retreat." | | 13 | "He exhaled through his nose," | | 14 | "Rory’s stomach tightened." | | 15 | "She glanced down the narrow" | | 16 | "The moment he crossed the" | | 17 | "The clicks echoed like accusations." | | 18 | "The flat swallowed him at" | | 19 | "Towers of books leaned against" |
| | ratio | 0.901 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 142 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 5 | | matches | | 0 | "The faint spice of curry from the shop below clung to the air between them, but it did nothing to mask the sharp, expensive scent that rolled off him." | | 1 | "The charcoal suit hugged his shoulders without a single crease, as though the fabric itself feared disappointing him." | | 2 | "Rory became acutely aware of her bare feet on the threadbare rug, the oversized jumper that slipped off one shoulder, the small crescent scar on her left wrist …" | | 3 | "Ptolemy leapt onto the arm of the sagging sofa and watched with unblinking green eyes, as though taking sides." | | 4 | "But something darker threaded through it, something that remembered the taste of his mouth and the way his claws had pricked her hips without ever breaking skin…" |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "She kept, ready to slam it" | | 1 | "he continued, voice softer now" |
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| 51.96% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "he continued (continue)" | | 1 | "she gasped (gasp)" | | 2 | "He spoke (speak)" | | 3 | "she whispered (whisper)" | | 4 | "he murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.157 | | leniency | 0.314 | | rawRatio | 0.625 | | effectiveRatio | 0.196 | |