| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 130 | | tagDensity | 0.008 | | leniency | 0.015 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1930 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 81.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1930 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicked" | | 1 | "remarkable" | | 2 | "familiar" | | 3 | "charm" | | 4 | "affection" | | 5 | "pulse" | | 6 | "stomach" |
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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 | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 130 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 260 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1929 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 1 | | matches | | 0 | "She remembered another jacket, another room, Lucien laughing into the hollow below her ear while she complained about th…" |
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| 42.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1163 | | uniqueNames | 7 | | maxNameDensity | 2.15 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 17 | | Moreau | 1 | | Eva | 5 | | Carter | 1 | | Rory | 25 | | Silas | 1 | | Ptolemy | 5 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Carter" | | 4 | "Rory" | | 5 | "Silas" | | 6 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.425 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | 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 | 1929 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 260 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 211 | | mean | 9.14 | | std | 9.15 | | cv | 1 | | sampleLengths | | 0 | 11 | | 1 | 43 | | 2 | 3 | | 3 | 5 | | 4 | 8 | | 5 | 36 | | 6 | 8 | | 7 | 4 | | 8 | 4 | | 9 | 3 | | 10 | 44 | | 11 | 5 | | 12 | 3 | | 13 | 1 | | 14 | 1 | | 15 | 2 | | 16 | 9 | | 17 | 27 | | 18 | 11 | | 19 | 6 | | 20 | 5 | | 21 | 18 | | 22 | 15 | | 23 | 5 | | 24 | 5 | | 25 | 30 | | 26 | 5 | | 27 | 2 | | 28 | 21 | | 29 | 6 | | 30 | 5 | | 31 | 8 | | 32 | 5 | | 33 | 14 | | 34 | 6 | | 35 | 1 | | 36 | 5 | | 37 | 17 | | 38 | 4 | | 39 | 4 | | 40 | 39 | | 41 | 4 | | 42 | 32 | | 43 | 8 | | 44 | 1 | | 45 | 5 | | 46 | 3 | | 47 | 7 | | 48 | 1 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 199 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 260 | | ratio | 0.008 | | matches | | 0 | "He lowered himself between a stack of journals and a cardboard box labelled SUMERIAN—CHECK TRANSLATIONS." | | 1 | "The gauze slipped; he caught it against his side." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 700 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.012857142857142857 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014285714285714286 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 260 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 260 | | mean | 7.42 | | std | 5.38 | | cv | 0.725 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 6 | | 3 | 22 | | 4 | 3 | | 5 | 5 | | 6 | 8 | | 7 | 18 | | 8 | 5 | | 9 | 13 | | 10 | 8 | | 11 | 4 | | 12 | 4 | | 13 | 3 | | 14 | 12 | | 15 | 17 | | 16 | 15 | | 17 | 5 | | 18 | 3 | | 19 | 1 | | 20 | 1 | | 21 | 2 | | 22 | 9 | | 23 | 8 | | 24 | 12 | | 25 | 7 | | 26 | 11 | | 27 | 6 | | 28 | 5 | | 29 | 2 | | 30 | 7 | | 31 | 9 | | 32 | 15 | | 33 | 5 | | 34 | 5 | | 35 | 12 | | 36 | 18 | | 37 | 5 | | 38 | 2 | | 39 | 21 | | 40 | 6 | | 41 | 5 | | 42 | 8 | | 43 | 5 | | 44 | 10 | | 45 | 4 | | 46 | 6 | | 47 | 1 | | 48 | 5 | | 49 | 17 |
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| 47.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.28076923076923077 | | totalSentences | 260 | | uniqueOpeners | 73 | |
| 26.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 124 | | matches | | | ratio | 0.008 | |
| 32.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 124 | | matches | | 0 | "His charcoal jacket hung open," | | 1 | "His gaze flicked past her" | | 2 | "His mouth tightened." | | 3 | "He withdrew his foot and" | | 4 | "She took his hat and" | | 5 | "He opened the folder." | | 6 | "Her name sat at the" | | 7 | "She remembered the delivery: two" | | 8 | "She looked up." | | 9 | "Her fingers had gone cold" | | 10 | "She studied his face." | | 11 | "She pointed at the sofa." | | 12 | "He lowered himself between a" | | 13 | "He eased one shoulder free." | | 14 | "She slid her hand under" | | 15 | "His shirt stuck to the" | | 16 | "She remembered another jacket, another" | | 17 | "She laid this one across" | | 18 | "He lowered his eyes and" | | 19 | "She pressed folded gauze to" |
| | ratio | 0.468 | |
| 20.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 124 | | matches | | 0 | "The door opened against the" | | 1 | "Rory looked down at it," | | 2 | "Rain clung to his platinum" | | 3 | "His charcoal jacket hung open," | | 4 | "His gaze flicked past her" | | 5 | "Rory had once spent an" | | 6 | "His mouth tightened." | | 7 | "The stairwell smelled of fried" | | 8 | "Lucien stood beneath the bare" | | 9 | "Rory pulled the door wider." | | 10 | "He withdrew his foot and" | | 11 | "Rory checked the landing, shut" | | 12 | "Lucien held his hat against" | | 13 | "A drop fell from its" | | 14 | "Ptolemy emerged from beneath the" | | 15 | "She took his hat and" | | 16 | "Lucien watched her, his gaze" | | 17 | "Rory pulled the sleeve down." | | 18 | "Lucien drew a narrow leather" | | 19 | "Blood marked one corner." |
| | ratio | 0.879 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 124 | | matches | | 0 | "Now she kept her hand" | | 1 | "Now she reached towards him" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |