| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 116 | | tagDensity | 0.121 | | leniency | 0.241 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2334 | | totalAiIsmAdverbs | 4 | | 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) | |
| 74.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2334 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "grave" | | 1 | "tension" | | 2 | "stomach" | | 3 | "flickered" | | 4 | "silence" | | 5 | "pulse" | | 6 | "could feel" | | 7 | "familiar" | | 8 | "pristine" | | 9 | "scanned" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 177 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 177 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 278 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2334 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1693 | | uniqueNames | 10 | | maxNameDensity | 1.12 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 3 | | London | 1 | | Moreau | 1 | | Brick | 2 | | Lane | 2 | | Lucien | 16 | | Ptolemy | 7 | | One | 3 | | Rory | 19 | | Attraction | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Ptolemy" | | 4 | "One" | | 5 | "Rory" | | 6 | "Attraction" |
| | places | | | globalScore | 0.939 | | windowScore | 0.833 | |
| 5.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 6 | | matches | | 0 | "not quite a smile" | | 1 | "sounded like a hand at the back of her nec" | | 2 | "as if weighing which language would hurt least" | | 3 | "Not quite amusement, not quite surrender" | | 4 | "not quite surrender" | | 5 | "felt like seduction and now felt like c" | | 6 | "felt like cruelty" | | 7 | "not quite touching" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.857 | | wordCount | 2334 | | matches | | 0 | "not from force but from the fact he chose to" | | 1 | "not in shame but in calculation, as if he had decided some truths still cost" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 278 | | matches | | 0 | "hated that it" | | 1 | "hated that part" | | 2 | "hated that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 163 | | mean | 14.32 | | std | 14.3 | | cv | 0.998 | | sampleLengths | | 0 | 9 | | 1 | 3 | | 2 | 47 | | 3 | 5 | | 4 | 13 | | 5 | 56 | | 6 | 9 | | 7 | 12 | | 8 | 7 | | 9 | 3 | | 10 | 26 | | 11 | 11 | | 12 | 22 | | 13 | 10 | | 14 | 7 | | 15 | 22 | | 16 | 9 | | 17 | 20 | | 18 | 8 | | 19 | 15 | | 20 | 3 | | 21 | 48 | | 22 | 19 | | 23 | 4 | | 24 | 17 | | 25 | 16 | | 26 | 64 | | 27 | 4 | | 28 | 19 | | 29 | 35 | | 30 | 7 | | 31 | 9 | | 32 | 11 | | 33 | 9 | | 34 | 11 | | 35 | 10 | | 36 | 56 | | 37 | 4 | | 38 | 6 | | 39 | 3 | | 40 | 13 | | 41 | 45 | | 42 | 9 | | 43 | 18 | | 44 | 1 | | 45 | 8 | | 46 | 1 | | 47 | 37 | | 48 | 9 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 177 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 290 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 278 | | ratio | 0 | | matches | (empty) | |
| 95.30% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1697 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 77 | | adverbRatio | 0.04537418974661167 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007071302298173247 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 278 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 278 | | mean | 8.4 | | std | 7.52 | | cv | 0.896 | | sampleLengths | | 0 | 9 | | 1 | 3 | | 2 | 27 | | 3 | 8 | | 4 | 12 | | 5 | 5 | | 6 | 13 | | 7 | 6 | | 8 | 6 | | 9 | 8 | | 10 | 36 | | 11 | 9 | | 12 | 12 | | 13 | 7 | | 14 | 3 | | 15 | 7 | | 16 | 1 | | 17 | 18 | | 18 | 11 | | 19 | 17 | | 20 | 5 | | 21 | 10 | | 22 | 7 | | 23 | 19 | | 24 | 3 | | 25 | 6 | | 26 | 3 | | 27 | 5 | | 28 | 14 | | 29 | 1 | | 30 | 8 | | 31 | 15 | | 32 | 3 | | 33 | 24 | | 34 | 12 | | 35 | 12 | | 36 | 19 | | 37 | 3 | | 38 | 1 | | 39 | 4 | | 40 | 13 | | 41 | 16 | | 42 | 8 | | 43 | 19 | | 44 | 7 | | 45 | 30 | | 46 | 4 | | 47 | 19 | | 48 | 28 | | 49 | 7 |
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| 45.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2302158273381295 | | totalSentences | 278 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 153 | | matches | | 0 | "Then the second." | | 1 | "Then back to her eyes." | | 2 | "Somewhere downstairs, a pot lid" | | 3 | "Then Ptolemy jumped onto the" | | 4 | "Then she glanced at the" |
| | ratio | 0.033 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 153 | | matches | | 0 | "She pulled the door inward." | | 1 | "She glanced past him at" | | 2 | "His gaze dropped, quick and" | | 3 | "He lifted the cane a" | | 4 | "His black eye didn’t flinch." | | 5 | "She hated that it still" | | 6 | "She caught the edge of" | | 7 | "He stopped, not from force" | | 8 | "He sat in the middle" | | 9 | "She crossed her arms." | | 10 | "His jaw tightened by a" | | 11 | "She looked at him properly" | | 12 | "His mouth barely moved." | | 13 | "She pointed at the doorway" | | 14 | "He stood there a second," | | 15 | "His gaze held hers." | | 16 | "He eased down onto the" | | 17 | "She hated herself for that," | | 18 | "He looked at Ptolemy, who" | | 19 | "Her stomach tightened." |
| | ratio | 0.353 | |
| 38.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 129 | | totalSentences | 153 | | matches | | 0 | "The first deadbolt gave with" | | 1 | "Aurora stood in the narrow" | | 2 | "Curry smoke drifted up from" | | 3 | "Ptolemy’s nails clicked over the" | | 4 | "She pulled the door inward." | | 5 | "Lucien Moreau filled the frame" | | 6 | "Charcoal suit cut to his" | | 7 | "Ivory cane in one gloved" | | 8 | "Rory’s fingers tightened on the" | | 9 | "Lucien’s mouth tilted, not quite" | | 10 | "She glanced past him at" | | 11 | "The curry house door below" | | 12 | "His gaze dropped, quick and" | | 13 | "He lifted the cane a" | | 14 | "Rory barked a laugh without" | | 15 | "His black eye didn’t flinch." | | 16 | "The amber one did something" | | 17 | "The name hit the hall" | | 18 | "She hated that it still" | | 19 | "Lucien stepped in before she" |
| | ratio | 0.843 | |
| 32.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 153 | | matches | | 0 | "Because she hated how cleanly" |
| | ratio | 0.007 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "Attraction had been the trap, the thing that kept dragging her back into the same shape of disaster with a beautiful face attached." | | 1 | "Lucien’s mouth curved this time, and for one stupid second she remembered the last time he had smiled at her in a room full of danger, as if danger were a priva…" | | 2 | "Rory dragged a hand through her hair and cursed the loose strands that caught at her fingers." | | 3 | "Rory could feel the old hurt stirring, that ugly, familiar mix of wanting and fury that had made them both reckless once." | | 4 | "The air between them had the old charge in it, the sort that lived in unfinished sentences and the heat of hands not quite touching." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 116 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0 | | effectiveRatio | 0 | |