| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 4 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "Lucien said quietly [quietly]" | | 2 | "gentleness she'd only [only]" | | 3 | "Rory said finally [finally]" |
| | dialogueSentences | 45 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 96.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1479 | | 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) | |
| 83.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1479 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "stomach" | | 1 | "scanning" | | 2 | "familiar" | | 3 | "tension" | | 4 | "charm" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 42.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 95 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 30 | | totalWords | 1494 | | ratio | 0.02 | | matches | | 0 | "You lied to me. You let me walk into Devereux's club with half the information and all of the risk, and you didn't even have the decency to lie well." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 986 | | uniqueNames | 11 | | maxNameDensity | 0.91 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 6 | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | Ptolemy | 4 | | You | 1 | | Devereux | 1 | | Lucien | 9 | | Eva | 2 | | Evan | 1 | | Cardiff | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "You" | | 4 | "Lucien" | | 5 | "Eva" | | 6 | "Evan" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Devereux" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like the answer to a question she'" | | 1 | "quite a smile and never quite managed to be nothing" | | 2 | "im in, because apparently her body had signed" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.669 | | wordCount | 1494 | | matches | | 0 | "not vanish, but make room" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 33.2 | | std | 32.64 | | cv | 0.983 | | sampleLengths | | 0 | 23 | | 1 | 57 | | 2 | 9 | | 3 | 41 | | 4 | 41 | | 5 | 5 | | 6 | 4 | | 7 | 66 | | 8 | 84 | | 9 | 31 | | 10 | 32 | | 11 | 7 | | 12 | 64 | | 13 | 7 | | 14 | 109 | | 15 | 10 | | 16 | 30 | | 17 | 45 | | 18 | 57 | | 19 | 1 | | 20 | 4 | | 21 | 50 | | 22 | 97 | | 23 | 9 | | 24 | 94 | | 25 | 34 | | 26 | 8 | | 27 | 9 | | 28 | 4 | | 29 | 24 | | 30 | 4 | | 31 | 87 | | 32 | 30 | | 33 | 6 | | 34 | 131 | | 35 | 3 | | 36 | 12 | | 37 | 43 | | 38 | 6 | | 39 | 2 | | 40 | 3 | | 41 | 1 | | 42 | 34 | | 43 | 41 | | 44 | 35 |
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| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 165 | | matches | | 0 | "was wearing" | | 1 | "was, treacherously, beginning" | | 2 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 79 | | ratio | 0.101 | | matches | | 0 | "His cane tip — that elegant, vicious thing — caught the doorframe with a soft tap, and he didn't even look apologetic." | | 1 | "His mouth curved — that careful, controlled curve that wasn't quite a smile and never quite managed to be nothing." | | 2 | "Lucien bent — a precise, unhurried fold of expensive wool — and scratched behind the tabby's ears." | | 3 | "He lowered himself into Eva's desk chair — the only seat not buried under manuscripts — resting both hands on the cane's ivory head, and for the first time she noticed what she should have noticed on the doorstep: he was tired." | | 4 | "Because he was right, and that was the unbearable part — she'd known, in the way you know a staircase has a broken step and descend it anyway because you're in too much of a hurry to care." | | 5 | "Ptolemy had claimed Lucien's lap with the shameless entitlement of his species, and Lucien's hand moved over the tabby's spine in slow, absent strokes — the only unguarded thing about him." | | 6 | "She laughed before she could stop herself — a short, startled sound — and his whole face changed at it, the way a locked room changes when a window opens." | | 7 | "Rory looked up at him — at the mismatched eyes and the tired lines and the terrible, careful hope he was trying to dress up as composure — and felt the anger in her chest do something complicated: not vanish, but make room." |
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| 92.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 601 | | adjectiveStacks | 1 | | stackExamples | | 0 | "done many ugly things," |
| | adverbCount | 25 | | adverbRatio | 0.04159733777038269 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.016638935108153077 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 18.91 | | std | 17.33 | | cv | 0.916 | | sampleLengths | | 0 | 23 | | 1 | 28 | | 2 | 14 | | 3 | 15 | | 4 | 9 | | 5 | 22 | | 6 | 19 | | 7 | 13 | | 8 | 20 | | 9 | 6 | | 10 | 2 | | 11 | 5 | | 12 | 4 | | 13 | 20 | | 14 | 26 | | 15 | 4 | | 16 | 16 | | 17 | 5 | | 18 | 31 | | 19 | 31 | | 20 | 17 | | 21 | 31 | | 22 | 15 | | 23 | 17 | | 24 | 7 | | 25 | 31 | | 26 | 26 | | 27 | 7 | | 28 | 7 | | 29 | 26 | | 30 | 42 | | 31 | 2 | | 32 | 39 | | 33 | 10 | | 34 | 14 | | 35 | 16 | | 36 | 25 | | 37 | 20 | | 38 | 4 | | 39 | 49 | | 40 | 4 | | 41 | 1 | | 42 | 4 | | 43 | 50 | | 44 | 4 | | 45 | 2 | | 46 | 38 | | 47 | 5 | | 48 | 28 | | 49 | 20 |
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| 78.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5063291139240507 | | totalSentences | 79 | | uniqueOpeners | 40 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 49 | | matches | | 0 | "Instead she stepped back and" |
| | ratio | 0.02 | |
| 15.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 49 | | matches | | 0 | "He looked like the answer" | | 1 | "she said, and started to" | | 2 | "His cane tip — that" | | 3 | "She kept her grip on" | | 4 | "His mouth curved — that" | | 5 | "She should have said no." | | 6 | "She had a whole speech" | | 7 | "You let me walk into" | | 8 | "He straightened, scanning the flat" | | 9 | "He said it simply, and" | | 10 | "He lowered himself into Eva's" | | 11 | "she said, because she was" | | 12 | "He gestured vaguely at his" | | 13 | "She scrubbed at her jaw" | | 14 | "Her voice did something traitorous" | | 15 | "She opened her mouth." | | 16 | "She'd wanted the job done." | | 17 | "She'd wanted to be the" | | 18 | "she said, softer now" | | 19 | "He looked at the cane" |
| | ratio | 0.51 | |
| 51.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 49 | | matches | | 0 | "The third deadbolt had barely" | | 1 | "Lucien Moreau stood in the" | | 2 | "Charcoal suit, ivory cane, platinum" | | 3 | "He looked like the answer" | | 4 | "she said, and started to" | | 5 | "His cane tip — that" | | 6 | "She kept her grip on" | | 7 | "The cat had no survival" | | 8 | "His mouth curved — that" | | 9 | "She should have said no." | | 10 | "She had a whole speech" | | 11 | "You let me walk into" | | 12 | "Ptolemy immediately abandoned all dignity" | | 13 | "Lucien bent — a precise," | | 14 | "Rory muttered, meaning the cat," | | 15 | "He straightened, scanning the flat" | | 16 | "He said it simply, and" | | 17 | "He lowered himself into Eva's" | | 18 | "The kind of tired that" | | 19 | "she said, because she was" |
| | ratio | 0.816 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 49 | | matches | | 0 | "Because he was right, and" |
| | ratio | 0.02 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Cool-headed Rory, intelligent Rory, the girl who thought her way out of boxes other people couldn't see." | | 1 | "The kind of tired that sat in the lines around his eyes and the slight slack of his immaculate posture, visible only to someone who had spent months learning th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 1 | | matches | | 0 | "She kept, knuckles whitening" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Lucien agreed (agree)" |
| | dialogueSentences | 45 | | tagDensity | 0.311 | | leniency | 0.622 | | rawRatio | 0.143 | | effectiveRatio | 0.089 | |