| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.314 | | leniency | 0.627 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1458 | | 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) | |
| 79.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1458 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "could feel" | | 3 | "absolutely" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 82 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 18 | | totalWords | 1463 | | ratio | 0.012 | | matches | | 0 | "Don't follow me. Don't fix this. If you ever gave a damn about me, you'll let me go." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 779 | | uniqueNames | 11 | | maxNameDensity | 0.77 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 3 | | Moreau | 1 | | Ptolemy | 4 | | Lucien | 6 | | Eva | 3 | | Golden | 1 | | Empress | 1 | | Marseille | 1 | | Silence | 1 | | London | 2 | | Cardiff | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Eva" |
| | places | | 0 | "Golden" | | 1 | "Marseille" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 1463 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 24.8 | | std | 21.89 | | cv | 0.883 | | sampleLengths | | 0 | 19 | | 1 | 39 | | 2 | 2 | | 3 | 16 | | 4 | 6 | | 5 | 22 | | 6 | 3 | | 7 | 12 | | 8 | 49 | | 9 | 20 | | 10 | 11 | | 11 | 2 | | 12 | 60 | | 13 | 26 | | 14 | 9 | | 15 | 1 | | 16 | 44 | | 17 | 6 | | 18 | 5 | | 19 | 15 | | 20 | 16 | | 21 | 4 | | 22 | 24 | | 23 | 11 | | 24 | 5 | | 25 | 14 | | 26 | 6 | | 27 | 12 | | 28 | 70 | | 29 | 31 | | 30 | 20 | | 31 | 18 | | 32 | 3 | | 33 | 64 | | 34 | 10 | | 35 | 34 | | 36 | 49 | | 37 | 11 | | 38 | 48 | | 39 | 15 | | 40 | 47 | | 41 | 8 | | 42 | 16 | | 43 | 33 | | 44 | 29 | | 45 | 1 | | 46 | 117 | | 47 | 51 | | 48 | 32 | | 49 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 8.09% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 106 | | ratio | 0.047 | | matches | | 0 | "Somewhere below, the curry house's extractor fan groaned, pushing turmeric and fried onion up through the floorboards, and Rory became aware of how she looked — Eva's oversized jumper, delivery uniform trousers, hair still damp from her shift at the Golden Empress." | | 1 | "The amber eye caught the bulb's light; the black one swallowed it whole." | | 2 | "He heard everything; it was his trade and his curse." | | 3 | "Her wrist lay in his hand, bare, his glove gone — when had he taken it off — and his skin ran warm the way his father's blood made it run, and she could feel her own pulse beating against his palm like something trying to answer." | | 4 | "\"Because you were leaving a man who never let you finish a sentence.\" The amber eye held hers; the black one held everything else." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 710 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.0323943661971831 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004225352112676056 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 13.8 | | std | 12.68 | | cv | 0.919 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 5 | | 3 | 13 | | 4 | 2 | | 5 | 13 | | 6 | 3 | | 7 | 6 | | 8 | 4 | | 9 | 18 | | 10 | 3 | | 11 | 12 | | 12 | 3 | | 13 | 15 | | 14 | 16 | | 15 | 11 | | 16 | 4 | | 17 | 4 | | 18 | 16 | | 19 | 11 | | 20 | 2 | | 21 | 4 | | 22 | 42 | | 23 | 5 | | 24 | 9 | | 25 | 10 | | 26 | 16 | | 27 | 9 | | 28 | 1 | | 29 | 24 | | 30 | 20 | | 31 | 6 | | 32 | 5 | | 33 | 15 | | 34 | 3 | | 35 | 13 | | 36 | 4 | | 37 | 17 | | 38 | 7 | | 39 | 11 | | 40 | 5 | | 41 | 14 | | 42 | 6 | | 43 | 12 | | 44 | 8 | | 45 | 28 | | 46 | 19 | | 47 | 5 | | 48 | 10 | | 49 | 24 |
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| 75.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.49056603773584906 | | totalSentences | 106 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 65 | | matches | | 0 | "Somewhere below, the curry house's" | | 1 | "Of course he heard it." | | 2 | "Then Lucien did something she'd" |
| | ratio | 0.046 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 65 | | matches | | 0 | "She kept her hand flat" | | 1 | "He stood like a man" | | 2 | "She hated that she cared." | | 3 | "She hated it more that" | | 4 | "His gloved hand tightened on" | | 5 | "His jaw worked." | | 6 | "She'd rehearsed this conversation a" | | 7 | "He heard everything; it was" | | 8 | "He reached into his breast" | | 9 | "She knew it before she" | | 10 | "His accent thickened the way" | | 11 | "Her hand had closed around" | | 12 | "She heard Eva's voice in" | | 13 | "He set the cane down." | | 14 | "he said, and took her" | | 15 | "She should have pulled away." | | 16 | "He turned her wrist upward," | | 17 | "His thumb stopped moving" | | 18 | "His voice went rough at" | | 19 | "Her wrist lay in his" |
| | ratio | 0.385 | |
| 90.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 65 | | matches | | 0 | "The third deadbolt scraped back," | | 1 | "Lucien Moreau filled the frame," | | 2 | "Both fixed on her as" | | 3 | "She kept her hand flat" | | 4 | "Ptolemy got there first." | | 5 | "The tabby slipped between her" | | 6 | "Lucien's mouth twitched." | | 7 | "The ghost of the smile" | | 8 | "Rainwater slid down his temple" | | 9 | "He stood like a man" | | 10 | "The stairwell window rattled." | | 11 | "She hated that she cared." | | 12 | "She hated it more that" | | 13 | "The curry smell turned to" | | 14 | "His gloved hand tightened on" | | 15 | "His jaw worked." | | 16 | "The amber eye caught the" | | 17 | "Ptolemy had climbed onto Lucien's" | | 18 | "Neither of them looked down" | | 19 | "The words landed harder than" |
| | ratio | 0.738 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 65 | | matches | | 0 | "Now her pulse hammered in" | | 1 | "If you ever gave a" |
| | ratio | 0.031 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "Something with his name on it, something that had survived six months of deadbolts and delivery shifts and telling Eva she was fine, fine, absolutely fine." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "His accent thickened, Marseille bleeding through the polish" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0 | | effectiveRatio | 0 | |