| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said hoarsely [hoarsely]" |
| | dialogueSentences | 103 | | tagDensity | 0.165 | | leniency | 0.33 | | rawRatio | 0.059 | | effectiveRatio | 0.019 | |
| 82.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1952 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "gently" | | 3 | "really" | | 4 | "carefully" |
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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) | |
| 82.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1952 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "racing" | | 1 | "silence" | | 2 | "affection" | | 3 | "grave" | | 4 | "desire" | | 5 | "footsteps" |
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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 | 131 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 131 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "tend to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 217 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1949 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1227 | | uniqueNames | 11 | | maxNameDensity | 1.22 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 14 | | Lucien | 15 | | Moreau | 2 | | Eva | 8 | | Ptolemy | 5 | | York | 1 | | Silas | 1 | | Golden | 1 | | Empress | 1 | | Marseille | 1 | | Avaros | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Ptolemy" | | 5 | "Silas" |
| | places | | | globalScore | 0.889 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.513 | | wordCount | 1949 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 217 | | matches | | 0 | "was that Lucien" | | 1 | "hated that he" | | 2 | "kissed that scar" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 146 | | mean | 13.35 | | std | 15.67 | | cv | 1.174 | | sampleLengths | | 0 | 17 | | 1 | 11 | | 2 | 50 | | 3 | 5 | | 4 | 8 | | 5 | 8 | | 6 | 7 | | 7 | 6 | | 8 | 19 | | 9 | 2 | | 10 | 18 | | 11 | 23 | | 12 | 29 | | 13 | 20 | | 14 | 22 | | 15 | 87 | | 16 | 11 | | 17 | 6 | | 18 | 4 | | 19 | 5 | | 20 | 19 | | 21 | 4 | | 22 | 26 | | 23 | 6 | | 24 | 23 | | 25 | 8 | | 26 | 10 | | 27 | 4 | | 28 | 4 | | 29 | 3 | | 30 | 5 | | 31 | 53 | | 32 | 6 | | 33 | 3 | | 34 | 5 | | 35 | 4 | | 36 | 9 | | 37 | 13 | | 38 | 21 | | 39 | 3 | | 40 | 3 | | 41 | 4 | | 42 | 16 | | 43 | 13 | | 44 | 2 | | 45 | 1 | | 46 | 45 | | 47 | 70 | | 48 | 5 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 222 | | matches | | 0 | "was bleeding" | | 1 | "was bleeding" |
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| 90.19% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 217 | | ratio | 0.018 | | matches | | 0 | "Not much—Lucien had built a career out of giving away nothing—but the faint, polished amusement vanished." | | 1 | "The movement cost him; she saw it in the stillness of his mouth." | | 2 | "Her fingers brushed warm skin; he went very still." | | 3 | "For a few seconds there was no Avaros, no note, no six weeks of silence—only the small, startled sound he made when she bit his lower lip, and the way he said her name when she let him breathe." |
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| 94.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1235 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 57 | | adverbRatio | 0.046153846153846156 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.012955465587044534 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 217 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 217 | | mean | 8.98 | | std | 7.3 | | cv | 0.813 | | sampleLengths | | 0 | 17 | | 1 | 11 | | 2 | 8 | | 3 | 32 | | 4 | 10 | | 5 | 5 | | 6 | 8 | | 7 | 8 | | 8 | 4 | | 9 | 3 | | 10 | 6 | | 11 | 3 | | 12 | 16 | | 13 | 2 | | 14 | 18 | | 15 | 7 | | 16 | 16 | | 17 | 29 | | 18 | 11 | | 19 | 9 | | 20 | 7 | | 21 | 15 | | 22 | 15 | | 23 | 8 | | 24 | 27 | | 25 | 21 | | 26 | 16 | | 27 | 11 | | 28 | 6 | | 29 | 4 | | 30 | 5 | | 31 | 19 | | 32 | 4 | | 33 | 26 | | 34 | 6 | | 35 | 15 | | 36 | 8 | | 37 | 4 | | 38 | 4 | | 39 | 7 | | 40 | 3 | | 41 | 4 | | 42 | 4 | | 43 | 3 | | 44 | 5 | | 45 | 4 | | 46 | 13 | | 47 | 14 | | 48 | 22 | | 49 | 6 |
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| 49.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3225806451612903 | | totalSentences | 217 | | uniqueOpeners | 70 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 114 | | matches | | 0 | "Then she seized his lapel" | | 1 | "Once, he had kissed that" | | 2 | "Then she threaded her fingers" | | 3 | "Then she remembered his wound" |
| | ratio | 0.035 | |
| 55.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 114 | | matches | | 0 | "Her second was that he" | | 1 | "His platinum hair, usually slicked" | | 2 | "His expression changed." | | 3 | "She hated that he could" | | 4 | "He crossed the threshold without" | | 5 | "She shut the door and" | | 6 | "His gaze moved over her:" | | 7 | "He straightened, then thought better" | | 8 | "He unbuttoned his jacket." | | 9 | "It hurt more than it" | | 10 | "She pointed toward the kitchen." | | 11 | "He lowered himself onto a" | | 12 | "Her hands were steady." | | 13 | "She had seen him without" | | 14 | "She had woken beside him" | | 15 | "She snapped on a pair" | | 16 | "She pressed the cloth against" | | 17 | "He drew a breath through" | | 18 | "she said, not sounding sorry" | | 19 | "She cleaned the wound and" |
| | ratio | 0.412 | |
| 52.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 114 | | matches | | 0 | "The door opened, and Rory’s" | | 1 | "Her second was that he" | | 2 | "Rain silvered the shoulders of" | | 3 | "His platinum hair, usually slicked" | | 4 | "Rory began to close the" | | 5 | "His expression changed." | | 6 | "She hated that he could" | | 7 | "A scrape sounded on the" | | 8 | "Lucien glanced toward it, and" | | 9 | "Rory looked at the blood" | | 10 | "He crossed the threshold without" | | 11 | "She shut the door and" | | 12 | "Eva’s flat smelled of turmeric" | | 13 | "Books stood in crooked towers" | | 14 | "Scrolls rested on the windowsill" | | 15 | "Rory had been cat-sitting while" | | 16 | "His gaze moved over her:" | | 17 | "Ptolemy jumped down from the" | | 18 | "Lucien looked faintly betrayed by" | | 19 | "Rory folded her arms." |
| | ratio | 0.816 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 114 | | matches | | 0 | "Now Lucien Moreau was bleeding" | | 1 | "As if sorrow and obedience" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 1 | | matches | | 0 | "His platinum hair, usually slicked back with architectural precision, had slipped across his forehead, and he leaned on his ivory-handled cane as though it were…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, not sounding sorry" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 103 | | tagDensity | 0.136 | | leniency | 0.272 | | rawRatio | 0 | | effectiveRatio | 0 | |