| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "His accent curled around [around]" | | 1 | "he said finally [finally]" |
| | dialogueSentences | 61 | | tagDensity | 0.328 | | leniency | 0.656 | | rawRatio | 0.1 | | effectiveRatio | 0.066 | |
| 91.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1671 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "precisely" | | 2 | "slowly" |
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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) | |
| 67.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1671 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "stomach" | | 1 | "weight" | | 2 | "familiar" | | 3 | "warmth" | | 4 | "pulse" | | 5 | "flickered" | | 6 | "efficient" | | 7 | "silence" | | 8 | "whisper" | | 9 | "firmly" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1671 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1109 | | uniqueNames | 9 | | maxNameDensity | 0.72 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Lucien | 8 | | Moreau | 1 | | London | 1 | | Golden | 1 | | Empress | 1 | | Rory | 7 | | East | 1 | | End | 1 |
| | persons | | 0 | "Carter" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Empress" | | 4 | "Rory" |
| | places | | 0 | "London" | | 1 | "Golden" | | 2 | "East" | | 3 | "End" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "as if discussing the weather, but his knuckles had gone white on the edge of the chair" |
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| 20.47% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.795 | | wordCount | 1671 | | matches | | 0 | "not with dried blood, but with something" | | 1 | "not from pain, but from proximity" | | 2 | "not for refuge, but for a chance to say goodbye" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 23.54 | | std | 19.9 | | cv | 0.846 | | sampleLengths | | 0 | 54 | | 1 | 62 | | 2 | 12 | | 3 | 7 | | 4 | 48 | | 5 | 14 | | 6 | 13 | | 7 | 3 | | 8 | 7 | | 9 | 58 | | 10 | 8 | | 11 | 11 | | 12 | 67 | | 13 | 10 | | 14 | 44 | | 15 | 4 | | 16 | 64 | | 17 | 3 | | 18 | 3 | | 19 | 17 | | 20 | 3 | | 21 | 33 | | 22 | 13 | | 23 | 29 | | 24 | 35 | | 25 | 20 | | 26 | 5 | | 27 | 5 | | 28 | 7 | | 29 | 41 | | 30 | 11 | | 31 | 4 | | 32 | 38 | | 33 | 27 | | 34 | 13 | | 35 | 77 | | 36 | 22 | | 37 | 29 | | 38 | 44 | | 39 | 43 | | 40 | 9 | | 41 | 20 | | 42 | 63 | | 43 | 7 | | 44 | 28 | | 45 | 25 | | 46 | 3 | | 47 | 59 | | 48 | 5 | | 49 | 14 |
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| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "was streaked" | | 1 | "been lodged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 178 | | matches | | 0 | "was spreading" | | 1 | "was losing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 133 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1115 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.026905829596412557 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008071748878923767 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 12.56 | | std | 8.75 | | cv | 0.696 | | sampleLengths | | 0 | 18 | | 1 | 4 | | 2 | 32 | | 3 | 10 | | 4 | 13 | | 5 | 27 | | 6 | 12 | | 7 | 12 | | 8 | 7 | | 9 | 11 | | 10 | 15 | | 11 | 4 | | 12 | 18 | | 13 | 7 | | 14 | 7 | | 15 | 13 | | 16 | 3 | | 17 | 7 | | 18 | 7 | | 19 | 25 | | 20 | 6 | | 21 | 20 | | 22 | 8 | | 23 | 11 | | 24 | 22 | | 25 | 32 | | 26 | 13 | | 27 | 9 | | 28 | 1 | | 29 | 4 | | 30 | 15 | | 31 | 6 | | 32 | 19 | | 33 | 4 | | 34 | 14 | | 35 | 9 | | 36 | 17 | | 37 | 24 | | 38 | 3 | | 39 | 3 | | 40 | 8 | | 41 | 9 | | 42 | 3 | | 43 | 23 | | 44 | 10 | | 45 | 7 | | 46 | 6 | | 47 | 14 | | 48 | 15 | | 49 | 9 |
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| 53.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3458646616541353 | | totalSentences | 133 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 10.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 88 | | matches | | 0 | "She put the menus down" | | 1 | "His silver-blond hair lay plastered" | | 2 | "He leaned against the frame," | | 3 | "He blinked at her as" | | 4 | "His mouth moved through the" | | 5 | "His accent curled around her" | | 6 | "He shifted his weight and" | | 7 | "He stayed upright, but only" | | 8 | "She stepped back and pulled" | | 9 | "His gaze swept the cramped" | | 10 | "She saw him count the" | | 11 | "she said, jerking her chin" | | 12 | "He obeyed without argument." | | 13 | "She'd assembled it after a" | | 14 | "Her hands stilled." | | 15 | "His voice had gone rough" | | 16 | "He spoke as if discussing" | | 17 | "Her fingers gripped the iodine" | | 18 | "His jaw tightened." | | 19 | "She set the iodine down" |
| | ratio | 0.523 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 88 | | matches | | 0 | "The first knock came flat-palmed" | | 1 | "Rory Carter ignored it." | | 2 | "The second knock carried the" | | 3 | "She put the menus down" | | 4 | "His silver-blond hair lay plastered" | | 5 | "He leaned against the frame," | | 6 | "Rory slid the chain off" | | 7 | "He blinked at her as" | | 8 | "His mouth moved through the" | | 9 | "His accent curled around her" | | 10 | "A spasm of pain crossed" | | 11 | "He shifted his weight and" | | 12 | "He stayed upright, but only" | | 13 | "She stepped back and pulled" | | 14 | "Lucien crossed the threshold with" | | 15 | "His gaze swept the cramped" | | 16 | "She saw him count the" | | 17 | "she said, jerking her chin" | | 18 | "He obeyed without argument." | | 19 | "Rory pulled the first-aid box" |
| | ratio | 0.909 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | 0 | "Before she could answer, the" |
| | ratio | 0.011 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "The first knock came flat-palmed and heavy, the knock of a man who did not expect an answer." | | 1 | "Lucien crossed the threshold with the slow, careful steps of a man who had rehearsed standing upright and was losing the argument." | | 2 | "The next words came from him with difficulty, as if they'd been lodged beneath the wound and needed cutting free." | | 3 | "It was a fist against the door that shook the hinges, three heavy blows in quick succession." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "He spoke, but his knuckles had gone white on the edge of the chair" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "He spoke (speak)" | | 1 | "Rory laughed (laugh)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 61 | | tagDensity | 0.131 | | leniency | 0.262 | | rawRatio | 0.375 | | effectiveRatio | 0.098 | |